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October 2018

CESG Distinguished Speaker: “Scheduling Punctured Systems: Joint Scheduling of Ultra Reliable Low Latency and Mobile Broadband Traffic”

October 26 @ 4:10 pm - 5:10 pm
Emerging Technologies Bldg., 1020,
101 Bizzell St. College Station, 77843

Gustavo de Veciana Professor Department of Electrical and Computer Engineering Wireless Networking and Communications Group (WNCG) The University of Texas at Austin   Abstract: Emerging 5G systems will need to efficiently support both enhanced mobile broadband traffic (eMBB) and ultra-low- latency communications (URLLC) traffic. In these systems, time is divided into slots which are further sub-divided into minislots. From a scheduling perspective, eMBB resource allocations occur at slot boundaries, whereas to reduce latency URLLC traffic is pre-emptively overlapped at the minislot timescale, resulting in selective superposition/puncturing of eMBB allocations. This approach enables minimal URLLC latency at a potential rate loss to eMBB traffic. We study joint eMBB and URLLC schedulers for such systems, with the dual objectives of maximizing utility for eMBB traffic while immediately satisfying URLLC demands. For a linear rate loss model (loss to eMBB is linear in the amount of URLLC superposition/puncturing), we derive an optimal joint scheduler. Somewhat counter-intuitively, our results show that our dual objectives can be met by an iterative gradient scheduler for eMBB traffic that anticipates the expected loss from URLLC traffic, along with an URLLC demand scheduler that is oblivious to eMBB channel states, utility functions and allocation decisions of the eMBB scheduler. Next we consider a more general class of (convex/threshold) loss models and study optimal online joint eMBB/URLLC schedulers within the broad class of channel state dependent but minislot-homogeneous policies. A key observation is that unlike the linear rate loss model, for the convex and threshold rate loss models, optimal eMBB and URLLC scheduling decisions do not de-couple and joint optimization is necessary to satisfy the dual objectives. We validate the characteristics and benefits of our schedulers via simulation. Joint work with: Arjun Anand (UT Austin Ph.D. now at Intel) and Prof. Sanjay Shakkottai UT Austin. Biography: Gustavo de Veciana received his B.S., M.S, and Ph.D. in electrical engineering from the University of California at Berkeley in 1987, 1990, and 1993 respectively, and joined the Department of Electrical and Computer Engineering where he is currently a Cullen Trust Professor of Engineering. He served as the Director and Associate Director of the Wireless Networking and Communications Group (WNCG) at the University of Texas at Austin, from 2003-2007. His research focuses on the analysis and design of communication and computing networks; data-driven decision-making in man-machine systems, and applied probability and queuing theory. Dr. de Veciana served as editor and is currently serving as editor-at-large for the IEEE/ACM Transactions on Networking. He was the recipient of a National Science Foundation CAREER Award 1996 and a co-recipient of five best paper awards including: IEEE William McCalla Best ICCAD Paper Award for 2000, Best Paper in ACM TODAES Jan 2002-2004, Best Paper in ITC 2010, Best Paper in ACM MSWIM 2010, and Best Paper IEEE INFOCOM 2014. In 2009 he was designated IEEE Fellow for his contributions to the analysis and design of communication networks. He currently serves on the board of trustees of IMDEA Networks Madrid. Pizza Provided

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