Technical Program

WA6a: Machine Learning in Communications

Session Type: Oral
Time: Wednesday, November 6, 08:15 - 09:55
Location: Toyon
Session Chair: Alexios Balatsoukas-Stimming, École polytechnique fédérale de Lausanne
 
WA6a-1: DEEP LEARNING FOR THE DEGRADED BROADCAST CHANNEL
         Erik Stauffer; Google
         Andy Wang; Google
         Nihar Jindal; Google
 
WA6a-2: TWO-STAGE LEARNING FOR UPLINK CHANNEL ESTIMATION IN ONE-BIT MASSIVE MIMO
         Eren Balevi; University of Texas at Austin
         Jeffrey Andrews; University of Texas at Austin
 
WA6a-3: LINEAR APPROXIMATION BASED Q-LEARNING FOR EDGE CACHING IN MASSIVE MIMO NETWORKS
         Navneet Garg; Heriot-Watt University
         Mathini Sellathurai; Heriot-Watt University
         Tharmalingam Ratnarajah; University of Edinburgh
 
WA6a-4: LEARNING TO CODE: CODED CACHING VIA DEEP REINFORCEMENT LEARNING
         Navid Naderializadeh; Intel Corporation
         Seyed Mohammad Asghari; University of Southern California