Location: Room 404
Surplus-Driven Reinforcement Learning for Service Placement in Mobile Edge Computing
Prachi Tripathi (Indian Institute of Technology, Patna, India); Satendra Kumar (Indian Institute of Technology Patna,India)
Chameleon: Adaptive MPQUIC Packet Scheduler in Heterogeneous Wireless Networks via Online ReinforcementLearning
Kangrui Li, Mu Wang, Jinrui Yang, Shujie Yang and Changqiao Xu (Beijing University of Posts and Telecommunications,China)
Deep Reinforcement Learning for UAV-Aided near-Field ISAC-System
Mayur Vitthalrao Katwe and Suraj Udan (National Institute of Technology Raipur, India); Anal Paul (Yuan-Ze University,Taiwan); Kamal Agrawal (Shiv Nadar University, India); Keshav Singh (National Sun Yat-sen University, Taiwan); AryanKaushik (OUF Innovative, RakFort & IIITD, United Kingdom (Great Britain))
A Novel on-Policy Deep Actor-Critic Framework for NOMA-Enabled RIS-Aided Cell-Free mMIMO
Malay Chakraborty (Indian Institute of Technology Roorkee, India); Pratham Jain (Google, India & Indian Institute ofTechnology, Roorkee, India); Rucha Chetan Wete (Google, India & IIT Roorkee, India); Ekant Sharma (Indian Institute ofTechnology Roorkee, India); Prem Singh (IIIT Bangalore, India); Hien Ngo (Queen's University Belfast, United Kingdom(Great Britain))
Q-Codec: Reinforcement Learning Based Adaptive Encoding for Real-Time Streaming of Immersive Aerial Videos
Mohit Kumar Sharma and Ibrahim Farhat (Technology Innovation Institute, United Arab Emirates); Wassim Hamidouche(IETR-INSA Rennes, France)