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
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SPCOM-1: Signal Processing for Networks

Session Type: Poster
Time: Tuesday, 8 June, 16:30 - 17:15
Location: Gather.Town
Session Chair: Santiago Segarra, Rice University
 
   SPCOM-1.1: DATA-DRIVEN ADAPTIVE NETWORK RESOURCE SLICING FOR MULTI-TENANT NETWORKS
         Navid Reyhanian; University of Minnesota
         Hamid Farmanbar; Huawei Canada Research Center
         Zhi-Quan Luo; Shenzhen Research Institute of Big Data, and The Chinese University of Hong Kong, Shenzhen
 
   SPCOM-1.2: DISTRIBUTED SCHEDULING USING GRAPH NEURAL NETWORKS
         Zhongyuan Zhao; Rice University
         Gunjan Verma; US Army's CCDC Army Research Laboratory
         Chirag Rao; US Army's CCDC Army Research Laboratory
         Ananthram Swami; US Army's CCDC Army Research Laboratory
         Santiago Segarra; Rice University
 
   SPCOM-1.3: EFFICIENT POWER ALLOCATION USING GRAPH NEURAL NETWORKS AND DEEP ALGORITHM UNFOLDING
         Arindam Chowdhury; Rice University
         Gunjan Verma; US Army’s CCDC Army Research Laboratory
         Chirag Rao; US Army’s CCDC Army Research Laboratory
         Ananthram Swami; US Army’s CCDC Army Research Laboratory
         Santiago Segarra; Rice University
 
   SPCOM-1.4: A SAMPLE-EFFICIENT SCHEME FOR CHANNEL RESOURCE ALLOCATION IN NETWORKED ESTIMATION
         Marcos Vasconcelos; Virginia Tech
         Urbashi Mitra; University of Southern California
 
   SPCOM-1.5: AN EFFICIENT LINEAR PROGRAMMING ROUNDING-AND-REFINEMENT ALGORITHM FOR LARGE-SCALE NETWORK SLICING PROBLEM
         Wei-Kun Chen; Beijing Institute of Technology
         Ya-Feng Liu; Chinese Academy of Sciences
         Yu-Hong Dai; Chinese Academy of Sciences
         Zhi-Quan Luo; Shenzhen Research Institute of Big Data and The Chinese University of Hong Kong
 
   SPCOM-1.6: EFFICIENT MIGRATION TO THE NEXT GENERATION OF NETWORKS BASED ON DIGITAL ANNEALING
         Mohammad Javad-Kalbasi; University of Toronto
         Shahrokh Valaee; University of Toronto