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FCC TAC AI-WG Artificial Intelligence

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FCC TAC AI-WG Artificial Intelligence Federal Communications Commission Technological Advisory Council Meeting December 1, 2020 FCC Technological Advisory Council Agenda – December 1, 2020 10am – 10:15am Introduction and Opening Remarks 10:15am – 10:30am Announcements and Roll Call FCC Chairman’s Remarks 10:30am – 11am WG Recommendations (5 minutes for each WG) 11am – 11:45am Artificial Intelligence WG 11:45am – 12:30pm Future of Unlicensed Operations WG 12:30pm – 1:00pm Lunch Break 1pm – 1:45pm 5G RAN Technology WG 1:45pm – 2:30pm 5G IoT WG 2:30pm – 3:00pm Closing Remarks 3pm Adjourned 2 FCC TAC Artificial Intelligence and Computing Working Group [AIWG] – Chairman’s Briefing Chairs: Lisa Guess, Cradlepoint Adam Drobot, OpenTechWorks, Inc. FCC Liaisons:Michael Ha, Mark Bykowsky, Monisha Ghosh, Martin Doczkat, Robert Pavlak, Chrysanthos Chrysanthou, Gulmira Mustapaeva Date: December 1, 2020 2020 FCC TAC AIWG Team Members • Shahid Ahmed, Independent • Nageen Himayat, Intel • Sujata Banerjee, VMware • Steve Lanning, Viasat • Nomi Bergman, Advance • Gabriel Lennon, Intern Univ of Colorado • William Check, NCTA • Kevin Leddy, Charter • Brian Daly, ATT • Anne Lee, Nokia • Adam Drobot, OpenTechWorks • Brian Markwalter, CTA • Jeffrey Foerster, Intel • Lynn Merrill, NTCA • James Goel, Qualcomm • Jack Nasielski, Qualcomm • Lisa Guess, Cradlepoint • Michael Nawrocki, ATIS • Russ Gyurek, Cisco • Dennis Roberson, entigenlogic • Dale Hatfield, Univ of Colorado • Marvin Sirbu, SGE • Stephen Hayes, Ericsson • David Tennenhouse, VMware • Mark Hess, Comcast 4 FCC TAC AIWG Activities in FY2020 Issues Addressed Strategic Priorities Industry Trends 1. Leveraging Federal Investments in AI 1. Closing the Digital Divide 2. Promoting Innovation 2. Understanding Data needs for AI 3. Protecting Consumers and 3. Extracting value from AI and Data to Public Safety address issues of importance to the FCC 4. Reforming the FCC’s Processes 4. Safe use of AI Considerations 1. The FCC’s Strategic Priorities 2. Industry Trends Nature of Recommendations 3. Technology Maturity 4. Timeliness Inputs Lasting Impacts on the FCC 5. Impact 1. AIWG SME Discussions (Two) AI in FCC Strategy, and Data 2. External Presentations Immediate Impacts on FCC, Service The FCC Providers, Consumers, Industry, and the Service Providers 3. Supporting Documents Public Sector Consumers 4. FCC Liaisons Industry (Three) Broadband Map, Safe Use of AI, The Public Sector and Pilot Projects 5 Recommendations The FCC TAC AIWG has identified five recommendation areas: 1. “Unlock transformational change” - The incorporation of considerations for Artificial Intelligence in the FCC Strategic Plan. 2. ”To build knowledge, unleash the Data” - The creation of a Task Force to address how the FCC can best address important aspects of Data governance and curation for AI/ML applications to serve its internal needs, and those of industry and the public. 3. “Cast a wide net” - Develop a plan and strategy for designing, developing, deploying, operating, and maintaining a Broadband Map that takes advantage of the best technologies and capabilities available. 4. “Keep humans in control of the loop” - Policies and approaches to ensure the safe use of Artificial Intelligence as it impact the nation’s networks, communication needs, and important applications. 5. “Get your feet wet” - Develop the FCC’s capability for extracting value from Artificial Intelligence in solving issues and problems that come before the FCC by conducting pilot projects with near term return. 6 Thank You! 7 FCC TAC Future of Unlicensed Operations Q4 2020 Report Chairs: Kevin Leddy, Charter & Brian Markwalter, CTA FCC Liaisons: Monisha Ghosh, Michael Ha, Nick Oros, Bahman Badipour, Mark Bykowski, Chrys Chrysanthou, Martin Doczkat Date: December 1, 2020 Chairman’s Summary • We evaluated businesses and use cases and validated that unlicensed spectrum both creates healthy competition and is a powerful tool to complement existing licensed business models. - Competitive Benefits: Better competition with MNOs by improving MVNO economics; greater competition with wireline ISPs by enabling WISP business models. - Complementary Benefits: Mobile offload of 80%+ of traffic to Wi-Fi, LTE expansion via LAA, and extension of ISP’s network via Wi-Fi. • Further, unlicensed spectrum has tremendous value to the US economy. While auction revenue supports the U.S. Treasury, unlicensed spectrum creates broad economic benefit. - ~500 MHz of low / mid band spectrum at 900 MHz, 2.4 GHz and 5GHz is estimated to have contributed to $500 billion in economic value in the US in 2018 • We commend the FCC for continuing to prioritize unlicensed spectrum in recent years, including unlicensed and lightly licensed initiatives in 5.9 GHz, 6 GHz, CBRS, and 60 GHz. • Our Working Group studied the wide variety of sharing technologies available to open more spectrum for unlicensed operations and we see great potential in sharing more bands. 9 Chairman’s Summary (continued) • Recommendations – Our report includes three recommendations: 1. The FCC should continue its light touch approach to unlicensed spectrum and allow industry to collaborate to determine the best methods for sharing the airwaves. The FCC should avoid further codifying standards in regulation, and allow industry to define technical specifications. 2. However, when requirements and conditions evolve, so should the regulations. In particular, we recommend a rulemaking on personal radars be opened on 60 GHz spectrum where the FCC has received several waiver requests to use the spectrum for personal radar. The FCC needs to move from waivers to rules. 3. Finally, sharing technologies have the potential to unlock large swaths of spectrum for public use. What is clear is that there are many “tools in the tool belt” for sharing spectrum and that there must be careful alignment between technologies, incumbents, and use cases. With several sharing technologies and commercial deployments under development in 2020/2021, further study is needed and the FCC should dedicate a TAC working group to focus on spectrum sharing in 2021. 10 FCC TAC 5G RAN Technology Working Group Final 2020 Chairman’s Brief WG Chairs: Tom Sawanobori, CTIA & Kevin Sparks, Nokia FCC Liaisons: Bahman Badipour, Reza Biazaran, Bob Pavlak, Ken Baker, Kamran Etemad, Sean Yun, Charles Mathias, Monisha Ghosh, Michael Ha Date: December 1, 2020 Accomplishments Performed component UE Modem/RF RF Components New 5G Fronthaul Baseband Processing & vRAN & system analysis of 5G evolution E2E RAN system-level analysis 15 SME talks 5G Evolution – Areas of greatest change & dynamics under- Narrowed focus to areas pinning of greatest impact on WG spectrum management effort Focus on Advanced Antenna Systems (AAS) end- end Developed recommendations Near-term Equipment Characterizing Transmitter Active on top spectrum/interference practical best authorization radiated identification interference management topics practices emissions management 12 5G RAN Evolution – Main New Areas of RAN Dynamics Integrated Access & Backhaul Dynamic Impact ▪ Wireless self-backhaul for Major advances in dynamic flexibility hard-to-fiber sites ▪ Shifts RF patterns somewhat RAN Disaggregation and configurability at digital level ▪ Centralization Advanced Antenna Systems efficiencies Radio band-configurability gated by ▪ High gain beamforming & beam steering ▪ Facilitates slicing fixed RF components ▪ Key for mid/high band performance Virtualized RAN ▪ Introduces dynamic RF environment Radio Components ▪ Significant new RF dynamics enabled beyond AAS Resource flexibility ▪ Facilitates slicing ▪ Steady improvement ▪ Pooling efficiencies by Advanced Antenna Systems (AAS) ▪ Modest configurability DU CU EU RU Fronthaul (Realtime Mid-haul (Non-RT Backhaul Packet Core (Devices) (RF) BBU) BBU) Radio 5G Device Modems & RF Baseband Processing ▪ Ever-expanding multi- band support ▪ Power challenges mmWave Spectrum RAN 5G NR URLLC Performance ▪ Short TTIs (timeslots) ▪ Massive capacity eCPRI Fronthaul ▪ Short ICD, key for high ▪ Many scheduling densification ▪ Efficient packet shortcuts & preemptions ▪ Short symbol duration aggregation ▪ Many redundant data for low latency ▪ Very stringent latency transmission options & timing req’ts (TSN) Network Slicing ▪ Simultaneous fit to varied performance & resource needs ▪ Traffic steered to best fit cloud level 13 Recommendations Near-term ▪ Partial TDD synchronization guidelines (for future bands beyond C Band) that consider all the tradeoffs and practical best global comparisons, applicable to 4G LTE and 5G technologies, offer an opportunity for coordination practices ▪ FCC Regulations should be examined in regard to adding field strength limits for certification of Equipment Advanced Antenna Systems, as conventional conducted power measurements not possible with AAS authorization ▪ Areas for future study: (1) practicality of 3D probabilistic power flux characterization to improve sharing, and (2) evaluation of the impact of power control on out-of-band emissions Characterizing ▪ Initiate multi-stakeholder studies on application of properly averaged radiated power measurements for radiated emissions coverage/compatibility analysis purposes, considering the dynamics of AAS RF transmissions ▪ Promote a feasibility study - working with industry, SDOs, academia and federal agencies as needed - on Transmitter effective methods of identifying transmitters (including RF fingerprinting and explicit Tx identifiers) for identification interference mitigation purposes ▪ Form multi-stakeholder expert technical
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