2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

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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