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
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

SS-3: Machine Learning in Wireless Networks

Session Type: Poster
Time: Tuesday, 8 June, 14:00 - 14:45
Location: Gather.Town
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