SPCOM-L4.3
BINARY SIGNAL ALIGNMENT: OPTIMAL SOLUTION IS POLYNOMIAL-TIME AND LINEAR-TIME SOLUTION IS QUASI-OPTIMAL
Spyridon Peppas, Nicholas Sidiropoulos, University of Virginia, United States of America
Session:
SPCOM-L4: Signal Processing and Machine Learning for Communications Lecture
Track:
Signal Processing for Communications and Networking
Location:
Room 105
Presentation Time:
Thu, 18 Apr, 17:10 - 17:30 (UTC +9)
Session Chair:
Roula Nassif, Université Côte d’Azur
Session SPCOM-L4
SPCOM-L4.1: PILOT LENGTH MINIMIZATION VIA AP-UE CLUSTERING IN CELL-FREE SYSTEMS
Anubhab Chowdhury, Indian Institute of Science, India; Chandra R. Murthy, Indian Institute of Science, Bengaluru, India, India
SPCOM-L4.2: UNIFIED PROBABILITY DISTRIBUTIONS OF GENERALIZED COMPOSITE FADING WITH INVERSE-TYPE DISTRIBUTIONS OF LARGE-SCALE SHADOWING/FLUCTUATIONS
Chin Choy Chai, Xiao-Ping Zhang, Toronto Metropolitan University (formerly Ryerson University), Canada
SPCOM-L4.3: BINARY SIGNAL ALIGNMENT: OPTIMAL SOLUTION IS POLYNOMIAL-TIME AND LINEAR-TIME SOLUTION IS QUASI-OPTIMAL
Spyridon Peppas, Nicholas Sidiropoulos, University of Virginia, United States of America
SPCOM-L4.4: STATE-AUGMENTED INFORMATION ROUTING IN COMMUNICATION SYSTEMS WITH GRAPH NEURAL NETWORKS
Sourajit Das, University of Pennsylvania, United States of America; Navid NaderiAlizadeh, Duke University, United States of America; Alejandro Ribeiro, University of Pennsylvania, United States of America
SPCOM-L4.5: CONGESTION-AWARE DISTRIBUTED TASK OFFLOADING IN WIRELESS MULTI-HOP NETWORKS USING GRAPH NEURAL NETWORKS
Zhongyuan Zhao, Rice University, United States of America; Jake Perazzone, Gunjan Verma, US Army’s DEVCOM Army Research Laboratory, United States of America; Santiago Segarra, Rice University, United States of America
SPCOM-L4.6: CLASSIFICATION-ORIENTED SEMANTIC WIRELESS COMMUNICATIONS
Emrecan Kutay, Aylin Yener, The Ohio State University, United States of America
Contacts