Beyond 5G applications such as Augmented/Virtual/Mixed Reality (AR/VR/MR) are latency-critical due to their stringent Quality-of-Experience (QoE) requirements. Due to limited battery life of AR/VR devices, edge-assisted AR/VR, where the user equipment offloads heavy computational tasks to an edge server, is becoming the de facto approach.
Although today’s 5G mmWave deployments can offer up to 3.5 Gbps throughput in line-of-sight (Los), static scenarios, their performance is often suboptimal due to sporadic coverage and suboptimal handover processes. Additionally, while 5G mmWave promises sub-ms latency over the air, today’s edge servers are attached to the mobile packet core network, resulting in much longer RTTs (on the order of 15 ms). This, combined with the server processing delays, make it extremely challenging to support high frame rate AR/VR applications.
In this talk, we describe a latency-aware algorithmic framework designed to address critical limitations of present 5G mmWave networks and edge infrastructure. This framework consists of algorithms that (1) jointly optimize content caching and request routing over general multi-hop edge computing networks to meet latency requirements, and (2) optimally trades off the computation and storage resources of a distributed hierarchical computing/storage infrastructure inside the cellular B5G network, through joint request routing, computation placement and caching, to minimize end-end latency. We show how these algorithms significantly reduce the processing and data movement latency of heavy computational tasks, thereby bringing closer to reality B5G applications such as high-quality edge-assisted AR/VR.
Edmund Yeh received the B.S. degree in electrical engineering from Stanford University, in 1994, M.Phil. degree in engineering from Cambridge University, in 1995 through the Winston Churchill Scholarship, and the Ph.D. degree in electrical engineering and computer science from MIT under Prof. Robert Gallager, in 2001. He is a Professor and a Chair of electrical and computer engineering with the Northeastern University. He was an Assistant Professor and an Associate Professor in electrical engineering, computer science, and statistics with Yale University. He is an IEEE Communications Society Distinguished Lecturer. He was a recipient of the Alexander von Humboldt Research Fellowship, the Army Research Office Young Investigator Award, the Winston Churchill Scholarship, the National Science Foundation and Office of Naval Research Graduate Fellowships, the Barry M. Goldwater Scholarship, the Frederick Emmons Terman Engineering Scholastic Award, and the President’s Award for Academic Excellence (Stanford University). He has received four best paper awards, including awards from the 2023 International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), the 2017 ACM Conference on Information Centric Networking (ICN), and the 2015 IEEE International Conference on Communications (ICC) Communication Theory Symposium. He served as the TPC Co-Chair for ACM MobiHoc 2021. He served as both Treasurer and Secretary of the Board of Governors for the IEEE Information Theory Society. He served as the General Chair for ACM Sigmetrics 2020, an Area Editor for IEEE TRANSACTIONS ON INFORMATION THEORY, and an Associate Editor for IEEE TRANSACTIONS ON NETWORKING, IEEE TRANSACTIONS ON MOBILE COMPUTING, and IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING. He served as the Guest Editor-in-Chief of the Special Issue on Wireless Networks for Internet Mathematics, and a Guest Editor for IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS—Special Series on Smart Grid Communications. He also received the Phi Beta Kappa Award.
The upper mid-band -- approximately from 7 to 24 GHz --- has attracted considerable interest for new cellular wireless services. The frequency range offers greater spectrum than the bands below 7 GHz with more favorable propagation and coverage than the millimeter wave (mmWave) frequencies. In 3GPP, this frequency range has been referred to as FR3. Realizing systems that exploit the full range of the FR3 bands presents significant challenges. Most importantly, spectrum will likely need to be shared with incumbents including communication satellites, military RADAR, and radio astronomy. Due to the wide bandwidth, combined with the directional nature of transmission and intermittent occupancy of incumbents, cellular systems will likely need to be agile to sense and intelligently use large spatial and frequency degrees of freedom. In this talk, we will review recent results on developing spectrally agile systems in these bands including (1) capacity analyses with adaptive frequency hopping; (2) algorithms for satellite and terrestrial co-existence; (3) RF and digital architectures for reconfigurable, wideband massive MIMO platforms; and (4) experimental platforms for FR3. Joint work with Marco Mezzavilla (Politecnico di Milano), Hamed Rahmani (NYU), and Aditya Dhananjay, and Mike Zappe (Pi-Radio)
Sundeep Rangan received the B.A.Sc. at the University of Waterloo, Canada and the M.Sc. and Ph.D. at the University of California, Berkeley, all in Electrical Engineering. He has held postdoctoral appointments at the University of Michigan, Ann Arbor and Bell Labs.In 2000, he co-founded (with four others) Flarion Technologies, a spin-off of Bell Labs, that developed Flash OFDM, one of the first cellular OFDM data systems and pre-cursor to 4G systems including LTE and WiMAX. In 2006, Flarion was acquired by Qualcomm Technologies where Dr. Rangan was a Senior Director of Engineering involved in OFDM infrastructure products. He joined the ECE department at NYU Tandon (formerly NYU Polytechnic) in 2010. He is a Fellow of the IEEE and Associate Director of NYU Wireless, an academic-industry research center researching next-generation wireless systems.