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 |