SPCOM-1.6
RESTLESS MULTI-ARMED BANDITS UNDER EXOGENOUS GLOBAL MARKOV PROCESS
Tomer Gafni, Ben-Gurion university of the Negev, Israel; Michal Yemini, Princeton University, United States of America; Kobi Cohen, Ben-Gurion University of the Negev, Israel
Session:
Machine Learning for Communication Systems
Track:
Signal Processing for Communications and Networking
Location:
Gather Area N
Presentation Time:
Sun, 8 May, 20:00 - 20:45 China Time (UTC +8)
Sun, 8 May, 12:00 - 12:45 UTC
Sun, 8 May, 12:00 - 12:45 UTC
Session Chair:
Mark Eisen, Intel Corporation
Session SPCOM-1
SPCOM-1.1: DEEP JOINT SOURCE-CHANNEL CODING FOR WIRELESS IMAGE TRANSMISSION WITH ADAPTIVE RATE CONTROL
Mingyu Yang, Hun-Seok Kim, University of Michigan, United States of America
SPCOM-1.2: DEEP SEQUENTIAL BEAMFORMER LEARNING FOR MULTIPATH CHANNELS IN MMWAVE COMMUNICATION SYSTEMS
Aditya Sant, University of California San Diego, United States of America; Afshin Abdi, Joseph Soriaga, Qualcomm Technologies Inc., United States of America
SPCOM-1.3: Data-driven Optimization for Zero-delay Lossy Source Coding with Side Information
Elad Domanovitz, Daniel Severo, Ashish Khisti, Wei Yu, University of Toronto, Canada
SPCOM-1.4: DISTRIBUTED IMAGE TRANSMISSION USING DEEP JOINT SOURCE-CHANNEL CODING
Sixian Wang, Ke Yang, Jincheng Dai, Kai Niu, Beijing University of Posts and Telecommunications, China
SPCOM-1.5: ADAPTIVE WIRELESS POWER ALLOCATION WITH GRAPH NEURAL NETWORKS
Navid NaderiAlizadeh, Alejandro Ribeiro, University of Pennsylvania, United States of America; Mark Eisen, Intel Corporation, United States of America
SPCOM-1.6: RESTLESS MULTI-ARMED BANDITS UNDER EXOGENOUS GLOBAL MARKOV PROCESS
Tomer Gafni, Ben-Gurion university of the Negev, Israel; Michal Yemini, Princeton University, United States of America; Kobi Cohen, Ben-Gurion University of the Negev, Israel
SPCOM-1.7: FEASIBILITY OF JOINT POWER OPTIMIZATION OF MULTIPLE SOURCE-DESTINATIONS IN AN AF RELAY NETWORK
Aziz Bahmani, Mehrzad Biguesh, Shiraz university, Iran (Islamic Republic of)