BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME:ocudueds26
X-WR-CALDESC:Event Calendar
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//Sched.com OCUDU Ecosystem Developer Summit//EN
X-WR-TIMEZONE:UTC
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T120000Z
DTEND:20261020T214000Z
SUMMARY:Registration & Badge Pick-Up
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:e81b90ea5f7e823e681e0641de4b42bb
URL:http://ocudueds26.sched.com/event/e81b90ea5f7e823e681e0641de4b42bb
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T130000Z
DTEND:20261020T131000Z
SUMMARY:Keynote: Welcome & Opening Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:e60a90f881ebf5238f0feac6a34796e6
URL:http://ocudueds26.sched.com/event/e60a90f881ebf5238f0feac6a34796e6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T131000Z
DTEND:20261020T150000Z
SUMMARY:Keynote Sessions to be Announced
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:2aa0cdb16d3b0769dd28a25459bce169
URL:http://ocudueds26.sched.com/event/2aa0cdb16d3b0769dd28a25459bce169
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T143000Z
DTEND:20261020T150000Z
SUMMARY:Demo Presentations
DESCRIPTION:&nbsp\;- Scaling OCUDU Deployment and Orchestration With O-RAN Based O-Cloud Best Practices - Chris Wheeler\, Red Hat & Nils Fürste\, SRS\n&nbsp\;- 5G LAB KIT: Using OCUDU for Training and Education - Tiago Alves\, Allbesmart\, Lda\n&nbsp\;- AI-Native RAN With OCUDU: An Open Research Testbed - Vipin Rathi\, Ramanujan College\, University of Delhi & Kriish Sharma\, Ramanujan College&nbsp\;\n&nbsp\;- AI-RAN DApps for OCUDU: What Runs Today and What's Still To Be Decided - Matt Pennybacker\, DeepSig\, Inc. & Tim O'Shea\, DeepSig\n&nbsp\;- At-Scale\, Real-World Physical AI for Precision Agriculture Using OCUDU and ARA - Taimoor Islam\, Iowa State University\n&nbsp\;- Coordinated ISAC for UAV Detection on an OCUDU-Based Testbed - Chen Chen & Xuan Chen\, George Mason University\n&nbsp\;- Dynamic Spectrum Sharing With an OCUDU-Based Open 5G RAN - Zachary Smith & Dominic Catena\, ANDRO Computational Solutions\; Stephanie Demers & Alex Lackpour\, Peraton Labs\n&nbsp\;- Enabling DApps for OCUDU With the E3 Interface - Ravis Shirkhani\, Northeastern University - Institute for Intelligent Networked Systems (INSI)\; Angelo Feraudo & Michele Polese\, Northeastern University\; Hai Cheng\, zTouch Networks\n&nbsp\;- Knowing What Regressed: Run Comparison for the OCUDU Test Report - Craig Brennan\, Ericsson Software Technology & John Keeney\, Ericsson Software Technology\n&nbsp\;- Live Demonstration: OCUDU on Military-Grade Equipment - Caleb McKinney\, Lockheed Martin\n&nbsp\;- MCP Enabled RAN Security Testing With RAN Tester UE - Charles Ueltschey\, Mississippi State University\n&nbsp\;- RAN-Aware AI Task Offloading To MEC With WebAssembly and OCUDU - Alireza Ebrahimi Dorcheh\, UniPhy Technologies / Clemson University & Fatemeh Afghah\, Clemson University\n&nbsp\;- Real-Time Multi-Cell Channel Emulation for OCUDU-Based 5G Testbeds - Simeon Wuthier\, National Institute of Standards and Technology & Fernando Cintron\, National Institute of Standards and Technology (NIST\n&nbsp\;- Real-Time Sensing-Privacy Control for OCUDU at the PHY Layer - Xuan Chen\, George Mason University\n&nbsp\;- Slice on Demand: Enabling Automated End-to-End Network Slicing as a Service in OCUDU - Rafael Lawisch\, Universidade do Vale do Rio dos Sinos - Unisinos\n&nbsp\;- Time Sensitive Network Integration for OCUDU - Thanh Long Le\, Singapore University of Technology and Design & Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)\n&nbsp\;- XFormer Assisted Multi-Site Scheduling With Inter-cell Coordination - Abdullah AL Safi\, Commonwealth Cyber Initiative Virginia Tech and Softbank\n&nbsp\;- Hardening OCUDU With Automated O-RAN Security Testing - Wilfred Luiz\, VIAVI Solutions\n&nbsp\;- EdgeRIC for Real-time AI-Driven Optimization and Control Over OCUDU - Srinivas Shakkottai\, Texas A&M University \; Ushasi Ghosh\, University of Califronia\, San Diego\; Woo-Hyun Ko\, Bush Combat Development Complex\, Texas A&M University System Offices\n&nbsp\;- Developing Trajectory-Aware Handover With OCUDU on POWDER: A Wireless Research Use Case Demo - Dustin Maas\, University of Utah\n\n
CATEGORIES:DEMO PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:71e2702afa8d23648f8b6253a523911a
URL:http://ocudueds26.sched.com/event/71e2702afa8d23648f8b6253a523911a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T150000Z
DTEND:20261020T153000Z
SUMMARY:Coffee Break
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:1d6dde855448a9ba9fd4c933fd9ff40f
URL:http://ocudueds26.sched.com/event/1d6dde855448a9ba9fd4c933fd9ff40f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T153000Z
DTEND:20261020T160000Z
SUMMARY:Update on the PHY and Roadmap - Xavier Arteaga\, Software Radio Systems
DESCRIPTION:This session reviews recently implemented physical layer (PHY) features\, including extended downlink MIMO and TTI bundling. I will present the key engineering challenges encountered during development and the practical solutions we deployed to overcome them. The talk concludes with a forward-looking overview of upcoming PHY enhancements\, outlining anticipated implementation hurdles and our proposed technical roadmap.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:d04d7781b93fc762ea377cb99abd6c8b
URL:http://ocudueds26.sched.com/event/d04d7781b93fc762ea377cb99abd6c8b
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T160000Z
DTEND:20261020T163000Z
SUMMARY:OCUDU on AMD-Based Hardware Platforms: EPYC Performance\, GPU Acceleration - Neerav Parikh\, AMD
DESCRIPTION:This technical talk presents AMD’s work running and optimizing the OCUDU software stack on AMD EPYC-based hardware platforms. It will cover benchmark methodology\, CPU performance characterization\, software and library optimization opportunities\, and a forward-looking proposal for an AMD GPU acceleration backend for selected OCUDU processing paths.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:bed93ba4feb0b205d0ff6743ef5ef481
URL:http://ocudueds26.sched.com/event/bed93ba4feb0b205d0ff6743ef5ef481
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T163000Z
DTEND:20261020T170000Z
SUMMARY:Configuration Schema for OCUDU Apps - Franciszek Maroszek\, Software Radio Systems
DESCRIPTION:Configuration schema is a recent addition to the OCUDU codebase that provides a standardized description of the apps configuration in the JSON Schema format – generated directly by the apps themselves\, so it’s always up-to-date. This allows for other tools to interpret\, process and interact with the OCUDU configuration in a deterministic and repeatable manner. This session explains how OCUDU apps handle its configuration\, discusses the technical challenges that still remain and also shows the benefits unlocked with OCUDU configuration schema: - external configuration validation with standard off-the-shelf tools\, - configuration auto-completion\, - up-to-date documentation generation\, - new tools for config conversions\, - better hints for AI tools\, and many others. The session is presented by the developer of the schema generation code and may contain some technical parts – however\, OCUDU users who don’t interact with the code directly can still benefit and learn about the new tooling provided.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:59deef2f9f9f872eba003421eb87e48f
URL:http://ocudueds26.sched.com/event/59deef2f9f9f872eba003421eb87e48f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T170000Z
DTEND:20261020T180000Z
SUMMARY:Demo Presentations
DESCRIPTION:&nbsp\;- Scaling OCUDU Deployment and Orchestration With O-RAN Based O-Cloud Best Practices - Chris Wheeler\, Red Hat & Nils Fürste\, SRS\n&nbsp\;- 5G LAB KIT: Using OCUDU for Training and Education - Tiago Alves\, Allbesmart\, Lda\n&nbsp\;- AI-Native RAN With OCUDU: An Open Research Testbed - Vipin Rathi\, Ramanujan College\, University of Delhi & Kriish Sharma\, Ramanujan College&nbsp\;\n&nbsp\;- AI-RAN DApps for OCUDU: What Runs Today and What's Still To Be Decided - Matt Pennybacker\, DeepSig\, Inc. & Tim O'Shea\, DeepSig\n&nbsp\;- At-Scale\, Real-World Physical AI for Precision Agriculture Using OCUDU and ARA - Taimoor Islam\, Iowa State University\n&nbsp\;- Coordinated ISAC for UAV Detection on an OCUDU-Based Testbed - Chen Chen & Xuan Chen\, George Mason University\n&nbsp\;- Dynamic Spectrum Sharing With an OCUDU-Based Open 5G RAN - Zachary Smith & Dominic Catena\, ANDRO Computational Solutions\; Stephanie Demers & Alex Lackpour\, Peraton Labs\n&nbsp\;- Enabling DApps for OCUDU With the E3 Interface - Ravis Shirkhani\, Northeastern University - Institute for Intelligent Networked Systems (INSI)\; Angelo Feraudo & Michele Polese\, Northeastern University\; Hai Cheng\, zTouch Networks\n&nbsp\;- Knowing What Regressed: Run Comparison for the OCUDU Test Report - Craig Brennan\, Ericsson Software Technology & John Keeney\, Ericsson Software Technology\n&nbsp\;- Live Demonstration: OCUDU on Military-Grade Equipment - Caleb McKinney\, Lockheed Martin\n&nbsp\;- MCP Enabled RAN Security Testing With RAN Tester UE - Charles Ueltschey\, Mississippi State University\n&nbsp\;- RAN-Aware AI Task Offloading To MEC With WebAssembly and OCUDU - Alireza Ebrahimi Dorcheh\, UniPhy Technologies / Clemson University & Fatemeh Afghah\, Clemson University\n&nbsp\;- Real-Time Multi-Cell Channel Emulation for OCUDU-Based 5G Testbeds - Simeon Wuthier\, National Institute of Standards and Technology & Fernando Cintron\, National Institute of Standards and Technology (NIST\n&nbsp\;- Real-Time Sensing-Privacy Control for OCUDU at the PHY Layer - Xuan Chen\, George Mason University\n&nbsp\;- Slice on Demand: Enabling Automated End-to-End Network Slicing as a Service in OCUDU - Rafael Lawisch\, Universidade do Vale do Rio dos Sinos - Unisinos\n&nbsp\;- Time Sensitive Network Integration for OCUDU - Thanh Long Le\, Singapore University of Technology and Design & Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)\n&nbsp\;- XFormer Assisted Multi-Site Scheduling With Inter-cell Coordination - Abdullah AL Safi\, Commonwealth Cyber Initiative Virginia Tech and Softbank\n&nbsp\;- Hardening OCUDU With Automated O-RAN Security Testing - Wilfred Luiz\, VIAVI Solutions\n&nbsp\;- EdgeRIC for Real-time AI-Driven Optimization and Control Over OCUDU - Srinivas Shakkottai\, Texas A&M University \; Ushasi Ghosh\, University of Califronia\, San Diego\; Woo-Hyun Ko\, Bush Combat Development Complex\, Texas A&M University System Offices\n&nbsp\;- Developing Trajectory-Aware Handover With OCUDU on POWDER: A Wireless Research Use Case Demo - Dustin Maas\, University of Utah\n\n
CATEGORIES:DEMO PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:9de40ac023704e6b7580804a00295097
URL:http://ocudueds26.sched.com/event/9de40ac023704e6b7580804a00295097
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T170000Z
DTEND:20261020T180000Z
SUMMARY:Lunch (Provided Onsite for Registered Attendees)
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:8e510a47dc409dcfe48d9143545cbd1d
URL:http://ocudueds26.sched.com/event/8e510a47dc409dcfe48d9143545cbd1d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T170000Z
DTEND:20261020T180000Z
SUMMARY:Poster Presentations
DESCRIPTION:&nbsp\;- An Ns-3 Digital Twin Platform for OCUDU-Based ISAC Networks - Mohammad Reza Fasihi\, George Mason University\n&nbsp\;- Designing a Performance Test Bed for Detailed Hotspot Analysis of Commercial Servers Using VTUNE - Moojan Kamalzadeh\, Linqi Xiao\n&nbsp\;- Hardening OCUDU for the Field: Automated Deployment\, Timing Compliance\, and Autonomous Fault Recover - Narayana Indukuri\, Selvaganesan Murugesan\n\n
CATEGORIES:POSTER PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:9a23ef347134248feac4390f708667c5
URL:http://ocudueds26.sched.com/event/9a23ef347134248feac4390f708667c5
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T180000Z
DTEND:20261020T183000Z
SUMMARY:Working Vs. Deployable: Building a Downstream Distribution on OCUDU - Michael Chiaramonte & Terence Li\, Cognitive Network Solutions
DESCRIPTION:OCUDU gives you a working CU/DU. It does not give you something you can deploy\, operate\, and hand to someone else. Those are different problems\, and the second is not solved by hardening the first. \n \n This is a report from the integrator's side of that line. Building a downstream distribution\, we found the missing pieces fall mostly into two classes: runtime configuration/management\, and deployment/integration. \n \n We will take examples from each and show what we changed in the codebase and why they are necessary for productizing OCUDU. Examples include runtime command surfaces for parameters that could only be set at startup\, a cell-safe shutdown mechanism that is a necessity for operators when managing a live system\, a v1 of an M-plane client to simplify RU integration\, and a look at how CNS uses these new contributions to integrate AI-native intelligence with the OCUDU stack.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:9accec63ccf7c362df37f62e93839b39
URL:http://ocudueds26.sched.com/event/9accec63ccf7c362df37f62e93839b39
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T185500Z
DTEND:20261020T192500Z
SUMMARY:OpenWRT for RAN: Building an Opinionated\, Deployable Open RAN Stack on OCUDU - Ilya Portnik\, Dell Technologies
DESCRIPTION:OCUDU has earned the title “Linux kernel of RAN”: an open\, carrier-grade CU/DU. But the Linux kernel alone never shipped a router. OpenWrt did – by turning the kernel into an opinionated\, deployable appliance with configuration\, lifecycle management\, UI\, packaging\, upgrades\, and extensibility. OCUDU is at the same point. It provides the RAN core\, but teams moving from lab to field still rebuild the same surrounding layers: SMO/orchestration\, zero-touch O-RU onboarding\, timing automation\, multi-vendor radio profiles\, upgrade/rollback\, security/compliance\, application infrastructure\, and air-gapped packaging. This talk proposes an “OpenWrt for RAN”: a community-maintained\, batteries-included distribution around unmodified OCUDU that can be deployed as a ready-made appliance\, while remaining open to extension and customization. Drawing on hands-on integration of upstream OCUDU with an open-source packet core and multi-vendor O-RUs\, I will present a practical reference architecture and the minimum platform services needed to turn CU/DU software into a secure\, compliant\, field-deployable private 5G system.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:9a0e1c1cb90e051e73a6a87a68c29948
URL:http://ocudueds26.sched.com/event/9a0e1c1cb90e051e73a6a87a68c29948
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T192500Z
DTEND:20261020T195500Z
SUMMARY:Scaling the OCUDU O1 Adapter for Multi-RU Support: From Single-RU Sidecar To Production-Grade Fleet - Vinay Revankar\, Dell Technologies & Ved Prajapati\, Dell Technologies
DESCRIPTION:The OCUDU O1 adapter today uses a 1:1 sidecar pattern: NETCONF server\, O1 adapter\, single monolithic gNB config file\, full restart. No per-RU addressing\, no differential config push\, no RU identity abstraction. Any change disrupts all connected RUs — blocking production multi-RU deployments. This talk presents Phase 1 Multi-RU enablement: six new modules within the existing K8s sidecar\, without forking the core — Multi-Instance YANG Datastore (/ru-inventory/ru[id]/config)\, RU Registry for device identity and DU mapping\, Config Router for 1:N NETCONF dispatch\, Per-RU Config Generator for device-specific fragments\, Reload Orchestrator for scoped per-cell restart\, and Multi-O-FH Endpoints for independent fronthaul addressing. The adapter transforms from a stateless single-target passthrough into a stateful N-target dispatcher — enabling SMO to address individual RUs via standard NETCONF. I will compare current vs. proposed call flows\, detail seven key design changes\, and outline the Phase 2 FCAPS roadmap covering fault\, performance\, security\, and AI/ML-driven optimization.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:72e4af201772a7c7565a22a7413ce78a
URL:http://ocudueds26.sched.com/event/72e4af201772a7c7565a22a7413ce78a
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T200000Z
DTEND:20261020T203000Z
SUMMARY:Demo Presentations
DESCRIPTION:&nbsp\;- Scaling OCUDU Deployment and Orchestration With O-RAN Based O-Cloud Best Practices - Chris Wheeler\, Red Hat & Nils Fürste\, SRS\n&nbsp\;- 5G LAB KIT: Using OCUDU for Training and Education - Tiago Alves\, Allbesmart\, Lda\n&nbsp\;- AI-Native RAN With OCUDU: An Open Research Testbed - Vipin Rathi\, Ramanujan College\, University of Delhi & Kriish Sharma\, Ramanujan College&nbsp\;\n&nbsp\;- AI-RAN DApps for OCUDU: What Runs Today and What's Still To Be Decided - Matt Pennybacker\, DeepSig\, Inc. & Tim O'Shea\, DeepSig\n&nbsp\;- At-Scale\, Real-World Physical AI for Precision Agriculture Using OCUDU and ARA - Taimoor Islam\, Iowa State University\n&nbsp\;- Coordinated ISAC for UAV Detection on an OCUDU-Based Testbed - Chen Chen & Xuan Chen\, George Mason University\n&nbsp\;- Dynamic Spectrum Sharing With an OCUDU-Based Open 5G RAN - Zachary Smith & Dominic Catena\, ANDRO Computational Solutions\; Stephanie Demers & Alex Lackpour\, Peraton Labs\n&nbsp\;- Enabling DApps for OCUDU With the E3 Interface - Ravis Shirkhani\, Northeastern University - Institute for Intelligent Networked Systems (INSI)\; Angelo Feraudo & Michele Polese\, Northeastern University\; Hai Cheng\, zTouch Networks\n&nbsp\;- Knowing What Regressed: Run Comparison for the OCUDU Test Report - Craig Brennan\, Ericsson Software Technology & John Keeney\, Ericsson Software Technology\n&nbsp\;- Live Demonstration: OCUDU on Military-Grade Equipment - Caleb McKinney\, Lockheed Martin\n&nbsp\;- MCP Enabled RAN Security Testing With RAN Tester UE - Charles Ueltschey\, Mississippi State University\n&nbsp\;- RAN-Aware AI Task Offloading To MEC With WebAssembly and OCUDU - Alireza Ebrahimi Dorcheh\, UniPhy Technologies / Clemson University & Fatemeh Afghah\, Clemson University\n&nbsp\;- Real-Time Multi-Cell Channel Emulation for OCUDU-Based 5G Testbeds - Simeon Wuthier\, National Institute of Standards and Technology & Fernando Cintron\, National Institute of Standards and Technology (NIST\n&nbsp\;- Real-Time Sensing-Privacy Control for OCUDU at the PHY Layer - Xuan Chen\, George Mason University\n&nbsp\;- Slice on Demand: Enabling Automated End-to-End Network Slicing as a Service in OCUDU - Rafael Lawisch\, Universidade do Vale do Rio dos Sinos - Unisinos\n&nbsp\;- Time Sensitive Network Integration for OCUDU - Thanh Long Le\, Singapore University of Technology and Design & Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)\n&nbsp\;- XFormer Assisted Multi-Site Scheduling With Inter-cell Coordination - Abdullah AL Safi\, Commonwealth Cyber Initiative Virginia Tech and Softbank\n&nbsp\;- Hardening OCUDU With Automated O-RAN Security Testing - Wilfred Luiz\, VIAVI Solutions\n&nbsp\;- EdgeRIC for Real-time AI-Driven Optimization and Control Over OCUDU - Srinivas Shakkottai\, Texas A&M University \; Ushasi Ghosh\, University of Califronia\, San Diego\; Woo-Hyun Ko\, Bush Combat Development Complex\, Texas A&M University System Offices\n&nbsp\;- Developing Trajectory-Aware Handover With OCUDU on POWDER: A Wireless Research Use Case Demo - Dustin Maas\, University of Utah\n\n
CATEGORIES:DEMO PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:3ba86c5c717e84689eb3cf6959d416f0
URL:http://ocudueds26.sched.com/event/3ba86c5c717e84689eb3cf6959d416f0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T200000Z
DTEND:20261020T203000Z
SUMMARY:Coffee Break
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:3e72ba34b9df9172618e7a34f895b065
URL:http://ocudueds26.sched.com/event/3e72ba34b9df9172618e7a34f895b065
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T203000Z
DTEND:20261020T213000Z
SUMMARY:Panel Session: The Road Ahead for OCUDU (Panelists to be Announced)
DESCRIPTION:\n
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:84862d14be5853f3360397572aaa25c2
URL:http://ocudueds26.sched.com/event/84862d14be5853f3360397572aaa25c2
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T213000Z
DTEND:20261020T220000Z
SUMMARY:Playing OCUDU Over Realistic Radio Channels — No Radios\, Just a Consumer GPU Platform - Zhouyou Gu\, Singapore University of Technology and Design (SUTD)
DESCRIPTION:What if every OCUDU developer — from a hobbyist or first-time contributor on a laptop to a researcher training AI for 6G networks — could test the stack over realistic radio conditions\, without owning any RF hardware? Today\, OCUDU's ZMQ radio path is a perfect loopback: great for functional tests\, but it never fades\, never interferes\, never moves. Real radio behaviour stays locked behind commercial channel emulators and lab testbeds most of the community can hardly touch. ocudu-gpu-channel is an open-source (MIT) attempt to change that. It slots between OCUDU and srsRAN and replays standard 3GPP channel models — fading\, mobility\, interference — in real time on a gaming GPU\, fast enough to keep up with the live stack (~180x faster than CPU on the heaviest standard profile). When realistic radio conditions run on a graphics card a student already owns\, the distance between curiosity and experiment collapses: a newcomer can watch a connection fight through fading on day one\, and AI can learn from a living network instead of a recording. As radio networks move onto GPUs\, this is ground the community can own — knowing how OCUDU behaves over the air before anyone touches the air.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:4ac5b2220cdc04598011fb31e40d9b23
URL:http://ocudueds26.sched.com/event/4ac5b2220cdc04598011fb31e40d9b23
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T220000Z
DTEND:20261020T221500Z
SUMMARY:Closing Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:062a7ca56729572b933ac9c380406b7c
URL:http://ocudueds26.sched.com/event/062a7ca56729572b933ac9c380406b7c
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T221500Z
DTEND:20261020T234500Z
SUMMARY:Demo Presentations
DESCRIPTION:&nbsp\;- Scaling OCUDU Deployment and Orchestration With O-RAN Based O-Cloud Best Practices - Chris Wheeler\, Red Hat & Nils Fürste\, SRS\n&nbsp\;- 5G LAB KIT: Using OCUDU for Training and Education - Tiago Alves\, Allbesmart\, Lda\n&nbsp\;- AI-Native RAN With OCUDU: An Open Research Testbed - Vipin Rathi\, Ramanujan College\, University of Delhi & Kriish Sharma\, Ramanujan College&nbsp\;\n&nbsp\;- AI-RAN DApps for OCUDU: What Runs Today and What's Still To Be Decided - Matt Pennybacker\, DeepSig\, Inc. & Tim O'Shea\, DeepSig\n&nbsp\;- At-Scale\, Real-World Physical AI for Precision Agriculture Using OCUDU and ARA - Taimoor Islam\, Iowa State University\n&nbsp\;- Coordinated ISAC for UAV Detection on an OCUDU-Based Testbed - Chen Chen & Xuan Chen\, George Mason University\n&nbsp\;- Dynamic Spectrum Sharing With an OCUDU-Based Open 5G RAN - Zachary Smith & Dominic Catena\, ANDRO Computational Solutions\; Stephanie Demers & Alex Lackpour\, Peraton Labs\n&nbsp\;- Enabling DApps for OCUDU With the E3 Interface - Ravis Shirkhani\, Northeastern University - Institute for Intelligent Networked Systems (INSI)\; Angelo Feraudo & Michele Polese\, Northeastern University\; Hai Cheng\, zTouch Networks\n&nbsp\;- Knowing What Regressed: Run Comparison for the OCUDU Test Report - Craig Brennan\, Ericsson Software Technology & John Keeney\, Ericsson Software Technology\n&nbsp\;- Live Demonstration: OCUDU on Military-Grade Equipment - Caleb McKinney\, Lockheed Martin\n&nbsp\;- MCP Enabled RAN Security Testing With RAN Tester UE - Charles Ueltschey\, Mississippi State University\n&nbsp\;- RAN-Aware AI Task Offloading To MEC With WebAssembly and OCUDU - Alireza Ebrahimi Dorcheh\, UniPhy Technologies / Clemson University & Fatemeh Afghah\, Clemson University\n&nbsp\;- Real-Time Multi-Cell Channel Emulation for OCUDU-Based 5G Testbeds - Simeon Wuthier\, National Institute of Standards and Technology & Fernando Cintron\, National Institute of Standards and Technology (NIST\n&nbsp\;- Real-Time Sensing-Privacy Control for OCUDU at the PHY Layer - Xuan Chen\, George Mason University\n&nbsp\;- Slice on Demand: Enabling Automated End-to-End Network Slicing as a Service in OCUDU - Rafael Lawisch\, Universidade do Vale do Rio dos Sinos - Unisinos\n&nbsp\;- Time Sensitive Network Integration for OCUDU - Thanh Long Le\, Singapore University of Technology and Design & Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)\n&nbsp\;- XFormer Assisted Multi-Site Scheduling With Inter-cell Coordination - Abdullah AL Safi\, Commonwealth Cyber Initiative Virginia Tech and Softbank\n&nbsp\;- Hardening OCUDU With Automated O-RAN Security Testing - Wilfred Luiz\, VIAVI Solutions\n&nbsp\;- EdgeRIC for Real-time AI-Driven Optimization and Control Over OCUDU - Srinivas Shakkottai\, Texas A&M University \; Ushasi Ghosh\, University of Califronia\, San Diego\; Woo-Hyun Ko\, Bush Combat Development Complex\, Texas A&M University System Offices\n&nbsp\;- Developing Trajectory-Aware Handover With OCUDU on POWDER: A Wireless Research Use Case Demo - Dustin Maas\, University of Utah\n\n
CATEGORIES:DEMO PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:eedb77aa40ff41c1b7ef547ac37eaae8
URL:http://ocudueds26.sched.com/event/eedb77aa40ff41c1b7ef547ac37eaae8
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261020T221500Z
DTEND:20261020T233000Z
SUMMARY:Ecosystem Welcome Reception
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:36a737efa2ff53e2adc52064dddfa554
URL:http://ocudueds26.sched.com/event/36a737efa2ff53e2adc52064dddfa554
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T120000Z
DTEND:20261021T163000Z
SUMMARY:Registration & Badge Pick-Up
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:e03fef2ed155d65880650053e75aa8f1
URL:http://ocudueds26.sched.com/event/e03fef2ed155d65880650053e75aa8f1
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T124500Z
DTEND:20261021T125000Z
SUMMARY:Keynote: Opening Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:2780868531cd104f72ef3b8f95147f55
URL:http://ocudueds26.sched.com/event/2780868531cd104f72ef3b8f95147f55
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T125000Z
DTEND:20261021T141000Z
SUMMARY:Keynote Sessions to be Announced
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:7e883a2ba83feeca050dd3685ce8bd19
URL:http://ocudueds26.sched.com/event/7e883a2ba83feeca050dd3685ce8bd19
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T141000Z
DTEND:20261021T144000Z
SUMMARY:Demo Presentations
DESCRIPTION:&nbsp\;- Scaling OCUDU Deployment and Orchestration With O-RAN Based O-Cloud Best Practices - Chris Wheeler\, Red Hat & Nils Fürste\, SRS\n&nbsp\;- 5G LAB KIT: Using OCUDU for Training and Education - Tiago Alves\, Allbesmart\, Lda\n&nbsp\;- AI-Native RAN With OCUDU: An Open Research Testbed - Vipin Rathi\, Ramanujan College\, University of Delhi & Kriish Sharma\, Ramanujan College&nbsp\;\n&nbsp\;- AI-RAN DApps for OCUDU: What Runs Today and What's Still To Be Decided - Matt Pennybacker\, DeepSig\, Inc. & Tim O'Shea\, DeepSig\n&nbsp\;- At-Scale\, Real-World Physical AI for Precision Agriculture Using OCUDU and ARA - Taimoor Islam\, Iowa State University\n&nbsp\;- Coordinated ISAC for UAV Detection on an OCUDU-Based Testbed - Chen Chen & Xuan Chen\, George Mason University\n&nbsp\;- Dynamic Spectrum Sharing With an OCUDU-Based Open 5G RAN - Zachary Smith & Dominic Catena\, ANDRO Computational Solutions\; Stephanie Demers & Alex Lackpour\, Peraton Labs\n&nbsp\;- Enabling DApps for OCUDU With the E3 Interface - Ravis Shirkhani\, Northeastern University - Institute for Intelligent Networked Systems (INSI)\; Angelo Feraudo & Michele Polese\, Northeastern University\; Hai Cheng\, zTouch Networks\n&nbsp\;- Knowing What Regressed: Run Comparison for the OCUDU Test Report - Craig Brennan\, Ericsson Software Technology & John Keeney\, Ericsson Software Technology\n&nbsp\;- Live Demonstration: OCUDU on Military-Grade Equipment - Caleb McKinney\, Lockheed Martin\n&nbsp\;- MCP Enabled RAN Security Testing With RAN Tester UE - Charles Ueltschey\, Mississippi State University\n&nbsp\;- RAN-Aware AI Task Offloading To MEC With WebAssembly and OCUDU - Alireza Ebrahimi Dorcheh\, UniPhy Technologies / Clemson University & Fatemeh Afghah\, Clemson University\n&nbsp\;- Real-Time Multi-Cell Channel Emulation for OCUDU-Based 5G Testbeds - Simeon Wuthier\, National Institute of Standards and Technology & Fernando Cintron\, National Institute of Standards and Technology (NIST\n&nbsp\;- Real-Time Sensing-Privacy Control for OCUDU at the PHY Layer - Xuan Chen\, George Mason University\n&nbsp\;- Slice on Demand: Enabling Automated End-to-End Network Slicing as a Service in OCUDU - Rafael Lawisch\, Universidade do Vale do Rio dos Sinos - Unisinos\n&nbsp\;- Time Sensitive Network Integration for OCUDU - Thanh Long Le\, Singapore University of Technology and Design & Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)\n&nbsp\;- XFormer Assisted Multi-Site Scheduling With Inter-cell Coordination - Abdullah AL Safi\, Commonwealth Cyber Initiative Virginia Tech and Softbank\n&nbsp\;- Hardening OCUDU With Automated O-RAN Security Testing - Wilfred Luiz\, VIAVI Solutions\n&nbsp\;- EdgeRIC for Real-time AI-Driven Optimization and Control Over OCUDU - Srinivas Shakkottai\, Texas A&M University \; Ushasi Ghosh\, University of Califronia\, San Diego\; Woo-Hyun Ko\, Bush Combat Development Complex\, Texas A&M University System Offices\n&nbsp\;- Developing Trajectory-Aware Handover With OCUDU on POWDER: A Wireless Research Use Case Demo - Dustin Maas\, University of Utah\n\n
CATEGORIES:DEMO PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:9fbb247484f871265c3c02cb4edce00f
URL:http://ocudueds26.sched.com/event/9fbb247484f871265c3c02cb4edce00f
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T141000Z
DTEND:20261021T144000Z
SUMMARY:Coffee Break
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:b1d9f9fc15363316f7f73db045c81bb3
URL:http://ocudueds26.sched.com/event/b1d9f9fc15363316f7f73db045c81bb3
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T144000Z
DTEND:20261021T151000Z
SUMMARY:Evolving the OCUDU Retina Framework for End-to-End\, Multi-Vendor Integration Testing - Justin Choquette\, UNH Interoperability Labs & Tom Nadeau\, WindRiver
DESCRIPTION:As the OCUDU ecosystem matures\, validating Open RAN performance requires shifting from isolated component testing to verifying end-to-end interoperability. The current Retina testing framework is limited by tight coupling to internal processes\, restricting its ability to orchestrate external components like diverse 5G Core implementations and O-RU hardware. This presentation\, a collaborative effort between the UNH Interoperability Labs (UNH-IOL) and Wind River\, proposes a strategic roadmap to evolve the Retina framework. We outline an architectural shift toward a modular\, "building-block" approach where deployment of RAN components\, Core networks\, and physical radio units is decoupled from the test automation harness. By leveraging Ansible-driven orchestration to manage diverse deployment stacks\, this extension enables vendor-neutral integration testing and allows common test scenarios to be shared between component and end-to-end testing. The session will review completed framework changes and our road map\, while seeking community feedback to ensure the framework supports diverse infrastructures and open-source projects.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:b2c4743c85f8f129d947d8d8db624b42
URL:http://ocudueds26.sched.com/event/b2c4743c85f8f129d947d8d8db624b42
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T151000Z
DTEND:20261021T154000Z
SUMMARY:Benchmarking and Validating O-RUs on OCUDU: Lessons From a Vendor-Neutral APAC Validation Lab - Chi Yung (Jeff) Liu\, Industrial Technology Research Institute\, ITRI
DESCRIPTION:As OCUDU matures into a carrier-grade open-source 5G stack\, operators and integrators need vendor-neutral\, reproducible evidence of how O-RU hardware behaves in a real OCUDU deployment—not just vendor-reported claims. ITRI Lab\, an OCUDU Lab partner in the APAC region\, is building a neutral validation platform that benchmarks multiple RU architectures on OCUDU\, using a methodology covering Open Fronthaul interoperability\, throughput/latency KPIs\, multi-UE scenarios\, and long-duration testing—referenced where applicable against TIP baseline configurations. This session covers the platform and methodology\, selected multi-vendor observations\, and a deep-dive validation case: an 8T8R Category B O-RU from LIONS Technology integrated with OCUDU\, including Open Fronthaul behavior and beamforming performance. This APAC lab also validates contributions from Taiwan's broader Open RAN ecosystem—LIONS extending into CBRS-compliant PAL/GAA deployments\, and G-Reigns on CU/DU integration—into OCUDU\, with further cases to follow. Attendees leave with a reusable framework for OCUDU RU validation\, a reference against common baselines\, and concrete multi-vendor benchmark results on OCUDU.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:f24d82fb0e3fe79c41913fc9c58edef7
URL:http://ocudueds26.sched.com/event/f24d82fb0e3fe79c41913fc9c58edef7
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T154000Z
DTEND:20261021T161000Z
SUMMARY:Hardening OCUDU: A Test-Fix-Retest Model for Open O-RAN Compliance - Srinivas Sriram\, Viavi Solutions
DESCRIPTION:Problem: Open-source O-RAN software wants to become carrier-grade\, but there's no agreed way to prove it got there. Coverage gets claimed\, not verified. Scanners can under-rate severity. Code that works in simulation can fail against real hardware. Solution: We play two roles: independent evaluator and remediation partner. We test and report what we find\, then help fix it with the builders\, and retest before calling anything resolved. How It Works: Every test traces to a spec requirement. Coverage is tagged honestly\, verified vs. not observable\, not rounded up to "tested." Scanner severity is rechecked and escalated\, never downgraded. Testing runs on real hardware\, not simulation. Fixes get rerun and reverified. Current Status: Over a hundred executions since early this year across functional\, security\, and fronthaul testing. Coverage accountability moved from two-thirds to nearly all of it. Our latest security run found real failures\, published as-is\, remediation underway. Next Steps: This test bed isn't tied to one program. Once these gaps close\, it extends to other open O-RAN components\, deeper fronthaul coverage\, and eventually 6G\, a model the community can reuse.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:92a57abd216f22f7e6e4e8ac058608ef
URL:http://ocudueds26.sched.com/event/92a57abd216f22f7e6e4e8ac058608ef
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T161000Z
DTEND:20261021T171000Z
SUMMARY:Lunch (Provided Onsite for Registered Attendees)
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:1f70a939624fdab33100b6268e456603
URL:http://ocudueds26.sched.com/event/1f70a939624fdab33100b6268e456603
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T170000Z
DTEND:20261021T180000Z
SUMMARY:Demo Presentations
DESCRIPTION:&nbsp\;- Scaling OCUDU Deployment and Orchestration With O-RAN Based O-Cloud Best Practices - Chris Wheeler\, Red Hat & Nils Fürste\, SRS\n&nbsp\;- 5G LAB KIT: Using OCUDU for Training and Education - Tiago Alves\, Allbesmart\, Lda\n&nbsp\;- AI-Native RAN With OCUDU: An Open Research Testbed - Vipin Rathi\, Ramanujan College\, University of Delhi & Kriish Sharma\, Ramanujan College&nbsp\;\n&nbsp\;- AI-RAN DApps for OCUDU: What Runs Today and What's Still To Be Decided - Matt Pennybacker\, DeepSig\, Inc. & Tim O'Shea\, DeepSig\n&nbsp\;- At-Scale\, Real-World Physical AI for Precision Agriculture Using OCUDU and ARA - Taimoor Islam\, Iowa State University\n&nbsp\;- Coordinated ISAC for UAV Detection on an OCUDU-Based Testbed - Chen Chen & Xuan Chen\, George Mason University\n&nbsp\;- Dynamic Spectrum Sharing With an OCUDU-Based Open 5G RAN - Zachary Smith & Dominic Catena\, ANDRO Computational Solutions\; Stephanie Demers & Alex Lackpour\, Peraton Labs\n&nbsp\;- Enabling DApps for OCUDU With the E3 Interface - Ravis Shirkhani\, Northeastern University - Institute for Intelligent Networked Systems (INSI)\; Angelo Feraudo & Michele Polese\, Northeastern University\; Hai Cheng\, zTouch Networks\n&nbsp\;- Knowing What Regressed: Run Comparison for the OCUDU Test Report - Craig Brennan\, Ericsson Software Technology & John Keeney\, Ericsson Software Technology\n&nbsp\;- Live Demonstration: OCUDU on Military-Grade Equipment - Caleb McKinney\, Lockheed Martin\n&nbsp\;- MCP Enabled RAN Security Testing With RAN Tester UE - Charles Ueltschey\, Mississippi State University\n&nbsp\;- RAN-Aware AI Task Offloading To MEC With WebAssembly and OCUDU - Alireza Ebrahimi Dorcheh\, UniPhy Technologies / Clemson University & Fatemeh Afghah\, Clemson University\n&nbsp\;- Real-Time Multi-Cell Channel Emulation for OCUDU-Based 5G Testbeds - Simeon Wuthier\, National Institute of Standards and Technology & Fernando Cintron\, National Institute of Standards and Technology (NIST\n&nbsp\;- Real-Time Sensing-Privacy Control for OCUDU at the PHY Layer - Xuan Chen\, George Mason University\n&nbsp\;- Slice on Demand: Enabling Automated End-to-End Network Slicing as a Service in OCUDU - Rafael Lawisch\, Universidade do Vale do Rio dos Sinos - Unisinos\n&nbsp\;- Time Sensitive Network Integration for OCUDU - Thanh Long Le\, Singapore University of Technology and Design & Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)\n&nbsp\;- XFormer Assisted Multi-Site Scheduling With Inter-cell Coordination - Abdullah AL Safi\, Commonwealth Cyber Initiative Virginia Tech and Softbank\n&nbsp\;- Hardening OCUDU With Automated O-RAN Security Testing - Wilfred Luiz\, VIAVI Solutions\n&nbsp\;- EdgeRIC for Real-time AI-Driven Optimization and Control Over OCUDU - Srinivas Shakkottai\, Texas A&M University \; Ushasi Ghosh\, University of Califronia\, San Diego\; Woo-Hyun Ko\, Bush Combat Development Complex\, Texas A&M University System Offices\n&nbsp\;- Developing Trajectory-Aware Handover With OCUDU on POWDER: A Wireless Research Use Case Demo - Dustin Maas\, University of Utah\n\n
CATEGORIES:DEMO PRESENTATIONS
LOCATION:Alexandria\, VA\, USA
SEQUENCE:0
UID:629beb3b2226f51f09dd599d44619845
URL:http://ocudueds26.sched.com/event/629beb3b2226f51f09dd599d44619845
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T171000Z
DTEND:20261021T174000Z
SUMMARY:Validation of Multiple Commercial ORU; Nuances and Opportunities With OCUDU Configurations - Linqi Xiao & Moojan Kamalzadeh\, The University of Texas at Dallas
DESCRIPTION:A commercial O-RU leaves the factory unreachable\, and the step that carries it to a first management session is not published. The OCUDU ecosystem already ships lab-grade pieces of that step\, a Kea DHCPv4 service encoding Option 43 and an O1 adapter that accepts SSH call-home. Dorado will present what commercial multi-vendor hardware still takes: DHCPv6 with Option 17 for v6-only radios\, CMPv2 enrollment with TLS call-home on top\, one vendor profile per device\, and G.8275.1 timing inside the chain. \n \n Results cover connecting multiple commercial O-RUs to a complete end-to-end OCUDU in a captive environment. A minimum of three commercial O-RUs reach stable call-home with no human step after cabling\, with executable O-RAN M-Plane conformance and security cases in Robot Framework as the CT stage. Work is ongoing and additional results may be discussed.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:c1bb7ceb8aec5c32a09392c706e2d5ce
URL:http://ocudueds26.sched.com/event/c1bb7ceb8aec5c32a09392c706e2d5ce
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T174000Z
DTEND:20261021T181000Z
SUMMARY:From Lab To Field: Integrating OCUDU With Multi-Vendor O-RUs for Outdoor 5G Drone Deployments - Nguyen Thanh Tam\, Singapore University of Technology and Design (SUTD)
DESCRIPTION:OCUDU is emerging as a key open-source foundation for carrier-grade\, research-oriented 5G. While most demos remain lab-based\, real-world field trials are critical for understanding operational and interoperability challenges. We present SUTD's OCUDU deployment journey\, from multi-vendor O-RU interoperability testing (e.g.\, Sera Network\, Metanoia-based\, Compal\, QCT\, Pegatron) to a fully operational outdoor Open RAN system supporting 5G-connected drone communications. Next\, we share performance results from an outdoor Pegatron O-RU deployment at SUTD Drone Arena\, using real-time drone connectivity tests to evaluate mobility\, coverage\, throughput\, and robustness outdoors—a realistic assessment beyond controlled labs. Finally\, we demonstrate OCUDU's integration with the NeuroRAN's SMO/Non-RT RIC and Near-RT RIC via standardized O1/E2 interfaces. This enables AI-driven closed-loop optimization apps\, including an Energy-Saving rApp and end-to-end Network-Slicing solution including Slice Resource Management-rApp and Network Slicing xApp. We close with lessons learned\, interoperability challenges\, OCUDU roadmap recommendations\, and opportunities to accelerate AI-native Open RAN adoption.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:84ff9c02f7dfd6e9a55ed767b5c4e5d0
URL:http://ocudueds26.sched.com/event/84ff9c02f7dfd6e9a55ed767b5c4e5d0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T181000Z
DTEND:20261021T184000Z
SUMMARY:How Cohere Made OCUDU Deployment Ready for Achieving Spectral Efficiency - Prem Gopannan\, Cohere Technologies
DESCRIPTION:Cohere’s Universal Spectrum Multiplier (USM) product is designed as an adjunct to a gNB that performs channel analysis and codebook-free MU-MIMO scheduling based on continuous calibration of the transmission chain and measuring the geometric reciprocity of the channel itself. The USM connects to gNB via gRPC wrapping the E2SM-LLC API. We’ll start the session with an introduction to how the architectural building blocks of the USM\, gRPC/API\, and gNB function together to add spectral capacity. We will also be talking about how Cohere enabled MU-MIMO support in OCUDU stack.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:f9692ce8c9190285f62a183deebef46d
URL:http://ocudueds26.sched.com/event/f9692ce8c9190285f62a183deebef46d
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T184000Z
DTEND:20261021T191000Z
SUMMARY:DPDK-Based User-Plane Upgrade for OCUDU: Crypto Engine & N3/F1-U Transport Interfaces - Ved Prajapati\, Dell Technologies & Vinay Revankar\, Dell Technologies
DESCRIPTION:OCUDU gives the Telecom industry a 3GPP and O-RAN compliant\, open-source CU/DU stack with multiple Internal Splits and Open Fronthaul Split options. The OCUDU stack is built over a very capable Software architecture\, which is easy to scale. But the user plane - specifically the Crypto engine and the N3/F1-U transport interfaces\, still rely on general-purpose software primitives that are designed for limited throughput. The mbedTLS based Crypto processes one packet at a time with no session persistence and no batch processing. The N3 and F1-U use kernel UDP sockets with multiple memory copies\, syscall overhead\, and I/O interrupts. This results in throughput capping at 2–5 Gbps per core and limits the user-plane scalability. Here is a 2-phase proposal to replace these bottlenecks with DPDK-based alternatives\, while preserving existing implementations as fallback option. Phase 1 - DPDK Crypto Engine. Replace the mbedTLS crypto path in PDCP with DPDK Cryptodev. Today\, OCUDU’s security_engine_impl performs: Phase 2 - DPDK-Based N3 & F1-U Transport (Evolution). Replace the kernel UDP socket interfaces for N3 (toward UPF) and F1-U (toward O-DU and inside O-DU) with DPDK poll-mode drivers.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:adba1049c1f3f96f472bfb15c43b24f0
URL:http://ocudueds26.sched.com/event/adba1049c1f3f96f472bfb15c43b24f0
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T191000Z
DTEND:20261021T194000Z
SUMMARY:Coffee Break
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:72dec9132b3549eb4b1dc2ab83ef7cd4
URL:http://ocudueds26.sched.com/event/72dec9132b3549eb4b1dc2ab83ef7cd4
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T194000Z
DTEND:20261021T201000Z
SUMMARY:United States Marine Corps Expeditionary OCUDU Deployments - Lucas Vancina\, United States Marine Corps & Andy Tran\, Naval Information Warfare Center
DESCRIPTION:In this technical and operational case study\, the Marine Corps Tactical Systems Support Activity (MCTSSA) and Naval Information Warfare Center (NIWC) Pacific Tactical Cellular Lab (TCL) will present how they deployed OCUDU to provide 5G at the tactical edge for expeditionary military operations. During a military exercise in the spring of 2026\, the TCL rapidly installed and deployed a gNB on a military base in the Western Pacific using commercial-of-the-shelf equipment. The deployment of OCUDU\, Open5GS\, and an O-RU (n77) from Dell Technologies provided mobile access to the Marine Corps' tactical network across an entire airfield. Topics of interest in the discussion will include: (1) Distributed core network architecture and network slicing\, (2) Benefits of ORAN/OCUDU for new RU integration\, (3) Hardware considerations to support expeditionary operations\, (4) Future tactical use-cases for OCUDU and ORAN\, (5) Importance of interoperability with O-RAN standards and (6) Challenges and areas for improvement to use OCUDU to provide 5G coverage at the tactical edge.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:591f7cbd4f3249261fd8284ee6488b6e
URL:http://ocudueds26.sched.com/event/591f7cbd4f3249261fd8284ee6488b6e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T200500Z
DTEND:20261021T203500Z
SUMMARY:Productionizing and Hardening OCUDU for Enterprise and Defense Deployments - Rajesh Rasalkar\, Sempre.AI
DESCRIPTION:Integrating OCUDU for research purpose is quite simple\, however a mission critical deployable system\, especially in constrained environments introduces a complex set of engineering challenges. At SEMPRE\, we have taken OCUDU from source code to deployed edge systems supporting commercial and mission-critical defense applications. This session will discuss hardening OCUDU for constrained edge environments\, including software packaging and configuration\, zero-trust architectures\, timing and synchronization in GNSS-denied conditions\, and disconnected operations\, field performance\, fault recovery\, lifecycle management\, and AI-assisted tools for unattended operations. We will also share practical lessons from system bring-up\, platform integration\, performance tuning\, and the stability challenges encountered moving OCUDU into operational environments. We will highlight how the same hardened baseline can support capabilities beyond connectivity\, including ISAC-based small UAS detection and multi-sensor fusion. Finally\, we will identify opportunities to reduce deployment complexity\, improve production readiness\, and make OCUDU easier to adopt across for enterprise and defense use cases.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:7a5fb0e6f8adb57df92340cdc5a235cc
URL:http://ocudueds26.sched.com/event/7a5fb0e6f8adb57df92340cdc5a235cc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T203500Z
DTEND:20261021T210500Z
SUMMARY:An AI-Driven Security Operator (AISecOps) for OCUDU - Haohuang Wen\, SE-RAN.ai
DESCRIPTION:Operating secure and resilient open-source RAN stacks such as OCUDU remains challenging\, particularly for fine-grained runtime observability as well as real-time detection/mitigation of faults and security threats. This presentation introduces an AI-driven Security Operator (AISecOps) framework designed to harden the OCUDU architecture with self-healing and self-defending capabilities. At its core the AISecOps operator leverages extended Berkeley Packet Filters (eBPF) technology to non-invasively extract real-time RAN-to-Core control plane and KPM telemetry\, requiring zero source code modifications. This telemetry feeds a neurosymbolic diagnostic engine that combines deep-learning-based anomaly detection with reasoning-based safety guardrails to detect runtime fault and threat events. Moving beyond passive alerts\, a knowledge-grounded agentic AI operator delivers autonomous threat incidents analysis\, root-cause diagnostics\, and mitigation response. Attendees will learn how to deploy eBPF into OCUDU for deep security observability\, and how agentic AI can automate the security incident handling cycle and execute fully autonomous or human-in-the-loop remediation at the edge.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:966f992605608945a1937ede6d41c982
URL:http://ocudueds26.sched.com/event/966f992605608945a1937ede6d41c982
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T210500Z
DTEND:20261021T213500Z
SUMMARY:Zero-Trust Private 5G With Security-Hardened and Validated OCUDU GNBs - Dora Boviz\, Dell Technologies
DESCRIPTION:For many OCUDU target deployments an outage is a safety event\, not just a bad customer experience: factory floors here robots and machine-vision safety loops depend on the network for low-latency control\, and military and tactical sites running drone and robot command-and-control and ISAC. End users in those settings stop asking only about throughput and coverage and start asking two harder questions: can you prove it is secure\, and can you keep it running while someone is attacking it? This talk treats security and availability as one problem and proposes a common\, modular security-validation framework that any OCUDU-based gNB product can adopt across vendors. I will walk the full trust chain (operator → SMO → management plane → gNB → open fronthaul → O-RU → edge)\, cover DoS resilience\, provide a gap analysis against FIPS\, DISA STIG and Common Criteria\, and share a prioritized roadmap for hardening 5G and beyond Radio Access Networks built on OCUDU. Attendees will leave with a proposed security hardening areas\, a concrete understanding of where FIPS/STIG/Common Criteria apply\, and a starting definition of a shared validation framework they can adopt and contribute to.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:6417e91c3477b36399186181dab75a8e
URL:http://ocudueds26.sched.com/event/6417e91c3477b36399186181dab75a8e
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261021T214000Z
DTEND:20261021T215500Z
SUMMARY:Closing Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:b6eac76eddb418e692b83be1f26df623
URL:http://ocudueds26.sched.com/event/b6eac76eddb418e692b83be1f26df623
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T120000Z
DTEND:20261022T221500Z
SUMMARY:Registration & Badge Pick-Up
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:31578580f492173d76266548f225a8ed
URL:http://ocudueds26.sched.com/event/31578580f492173d76266548f225a8ed
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T130000Z
DTEND:20261022T130500Z
SUMMARY:Keynote: Opening Remarks
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:f4750028a42c9be27906d6eaf31bc822
URL:http://ocudueds26.sched.com/event/f4750028a42c9be27906d6eaf31bc822
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T130500Z
DTEND:20261022T134500Z
SUMMARY:Keynote Sessions to be Announced
DESCRIPTION:\n
CATEGORIES:KEYNOTE SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:e5abc4599b0b58f7e1615a2f2c401ab5
URL:http://ocudueds26.sched.com/event/e5abc4599b0b58f7e1615a2f2c401ab5
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T141500Z
DTEND:20261022T144500Z
SUMMARY:Building ISAC Into OCUDU: From MIMO Channel Access To End-to-End Cellular Sensing - Ish Jain\, Rensselaer Polytechnic Institute
DESCRIPTION:Integrated Sensing and Communication (ISAC) is emerging as a key 6G capability\, but enabling sensing in a real cellular stack requires exposing rich PHY measurements without disrupting real-time operation. This talk presents lessons from two open-source cellular prototypes and how they can inform ISAC support in OCUDU. MIMO-RIC extends the srsRAN 5G stack with UCSD’s EdgeRIC controller to expose per-antenna\, per-subcarrier PUSCH/DMRS channel estimates and feed control policies back to the RAN. Its over-the-air prototype demonstrates localization\, interference monitoring\, and MIMO nulling with
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:6c6362506081c9fba3a0dc4747e87b64
URL:http://ocudueds26.sched.com/event/6c6362506081c9fba3a0dc4747e87b64
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T144500Z
DTEND:20261022T151000Z
SUMMARY:Coffee Break
DESCRIPTION:\n
CATEGORIES:MEALS / BREAKS / SPECIAL EVENTS
LOCATION:Foyer\, Alexandria\, VA\, USA
SEQUENCE:0
UID:d78c669b097886fafe4e6fde7cd91ae6
URL:http://ocudueds26.sched.com/event/d78c669b097886fafe4e6fde7cd91ae6
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T151000Z
DTEND:20261022T154000Z
SUMMARY:Monostatic 5G ISAC With OCUDU: Turning a 5G NR GNB Into a Radar Sensor - Oscar Venegas\, Tiami Networks
DESCRIPTION:This session presents a practical implementation of monostatic integrated sensing and communication (ISAC) using an OCUDU-based 5G NR network and software-defined radio hardware. We demonstrate how an operational 5G downlink waveform can be reused for radar sensing without requiring a dedicated radar waveform or a cooperating UE. The presentation will cover the system architecture\, acquisition of a local transmit reference\, synchronization\, OFDM-based channel estimation\, and range-Doppler processing. We will also share experimental results from real-world sensing tests involving people\, vehicles\, and drones\, along with practical lessons learned while extending an open-source 5G RAN platform beyond communications.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:10b0c12e89ce3d3a79f7e73e06b0efcc
URL:http://ocudueds26.sched.com/event/10b0c12e89ce3d3a79f7e73e06b0efcc
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T154000Z
DTEND:20261022T161000Z
SUMMARY:Private 5G Networks: Enterprise Deployment and Distributed MIMO Architecture - Daniel Ping\, REIGN Technology Corporation
DESCRIPTION:This 30 minutes short session will unlock the full potential of enterprise private 5G by mastering Distributed MIMO (D-MIMO) on the O-CU/DU framework. Also provides a comprehensive look at how D-MIMO is redefining industrial connectivity. Attendees will explore the practical implementation of this technology alongside real-world use cases\, including tactical VR training for defense and law enforcement\, AI-powered camera networks in high-density smart manufacturing\, and ISAC (Integrated Sensing and Communication) data aggregation. We will break down the key engineering challenges encountered during development/deployment and demonstrate the tangible benefits of D-MIMO—specifically its ability to eliminate coverage dead zones\, reduce interference and guarantee reliable\, high-bandwidth communication.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:2bc6d8d68c087205b0a00df3fcc57f62
URL:http://ocudueds26.sched.com/event/2bc6d8d68c087205b0a00df3fcc57f62
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260901T203048Z
DTSTART:20261022T161000Z
DTEND:20261022T164000Z
SUMMARY:Adapting OCUDU for Test Range Operations - Achilles Kogiantis\, Altio Labs
DESCRIPTION:Supporting airborne and high-speed unmanned systems in test ranges requires wireless networks engineered for extreme distance\, velocity\, and mobility—challenges that extend well beyond conventional 5G deployments. This presentation outlines the capabilities needed to adapt O-CUDU architectures for 5G and FutureG test range operations. We will explore how to enable very large airspace cells and support high-mobility UEs by maximizing existing 3GPP mechanisms\, including extended Cyclic Prefix\, RACH formats\, and extended window searches. The discussion will also introduce potential beyond-standard enhancements. Specifically\, we will focus on addressing gNB-side Doppler compensation and deploying advanced mobility management. By building upon standardized techniques like conditional handover\, such enhanced mechanisms can improve link reliability and seamless transitions in highly dynamic scenarios. Additionally\, the talk will highlight the structural overlap with Non-Terrestrial Network (NTN) standards\, demonstrating how NTN-driven advances can secure robust connectivity for dynamic range users.
CATEGORIES:BREAKOUT SESSIONS
LOCATION:Boeing Auditorium\, Alexandria\, VA\, USA
SEQUENCE:0
UID:9ab2e00a7f214546471625af9fa8d3a4
URL:http://ocudueds26.sched.com/event/9ab2e00a7f214546471625af9fa8d3a4
END:VEVENT
END:VCALENDAR
