SS-3: Machine Learning in Wireless Networks |
Session Type: Poster |
Time: Tuesday, 8 June, 14:00 - 14:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chairs: Alejandro Ribeiro, University of Pennsylvania, Mark Eisen, Intel Labs and Robert Heath Jr., North Caronlina State University |
SS-3.1: SCALABLE REINFORCEMENT LEARNING FOR ROUTING IN AD-HOC NETWORKS BASED ON PHYSICAL-LAYER ATTRIBUTES |
Wei Cui; University of Toronto |
Wei Yu; University of Toronto |
SS-3.2: BLIND CARBON COPY ON DIRTY PAPER: SEAMLESS SPECTRUM UNDERLAY VIA CANONICAL CORRELATION ANALYSIS |
Mohamed Salah Ibrahim; University of Virginia |
Nicholas D. Sidiropoulos; University of Virginia |
SS-3.3: AN ACTOR-CRITIC REINFORCEMENT LEARNING APPROACH TO MINIMUM AGE OF INFORMATION SCHEDULING IN ENERGY HARVESTING NETWORKS |
Shiyang Leng; The Pennsylvania State University |
Aylin Yener; The Ohio State University |
SS-3.4: MOVING OBJECT CLASSIFICATION WITH A SUB-6 GHZ MASSIVE MIMO ARRAY USING REAL DATA |
Manoj B. R.; Linköping University |
Guoda Tian; Lund University |
Sara Gunnarsson; Lund University |
Fredrik Tufvesson; Lund University |
Erik Larsson; Linköping University |
SS-3.5: OPTIMIZING COVERAGE AND CAPACITY IN CELLULAR NETWORKS USING MACHINE LEARNING |
Ryan Dreifuerst; University of Texas at Austin |
Samuel Daulton; Facebook |
Yuchen Qian; Facebook |
Paul Varkey; Facebook |
Maximilian Balandat; Facebook |
Sanjay Kasturia; Facebook |
Anoop Tomar; Facebook |
Ali Yazdan; Facebook |
Vish Ponnampalam; Facebook |
Robert Heath; North Caronlina State University |
SS-3.6: UNSUPERVISED LEARNING FOR ASYNCHRONOUS RESOURCE ALLOCATION IN AD-HOC WIRELESS NETWORKS |
Zhiyang Wang; University of Pennsylvania |
Mark Eisen; Intel Labs |
Alejandro Ribeiro; University of Pennsylvania |