Technical Program

SS-L24: Machine Learning for Communications

Session Type: Lecture
Time: Friday, May 17, 16:00 - 18:00
Location: Syndicate 3
Session Chair: Sangarapillai Lambotharan, Loughborough University
 
SS-L24.1: JOINT TRANSACTION TRANSMISSION AND CHANNEL SELECTION IN COGNITIVE RADIO BASED BLOCKCHAIN NETWORKS: A DEEP REINFORCEMENT LEARNING APPROACH
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Nguyen Cong Luong; Nanyang Technological University
         Tran The Anh; Nanyang Technological University
         Huynh Thi Thanh Binh; Hanoi University of Science and Technology
         Dusit Niyato; Nanyang Technological University
         Dong In Kim; Sungkyunkwan University
         Ying Chang Liang; University of Electronic Science and Technology of China
 
SS-L24.2: DEEP LEARNING BASED ON ORTHOGONAL APPROXIMATE MESSAGE PASSING FOR CP-FREE OFDM
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Jing Zhang; National Mobile Communications Research Laboratory, Southeast University
         Hengtao He; National Mobile Communications Research Laboratory, Southeast University
         Chao-Kai Wen; Institute of Communications Engineering, National Sun Yat-sen University
         Shi Jin; National Mobile Communications Research Laboratory, Southeast University
         Geoffrey Ye Li; Georgia Institute of Technology, USA
 
SS-L24.3: A CALIBRATED LEARNING APPROACH TO DISTRIBUTED POWER ALLOCATION IN SMALL CELL NETWORKS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Xinruo Zhang; Loughborough University
         Mohammad Reza Nakhai; King's College London
         Gan Zheng; Loughborough University
         Sangarapillai Lambotharan; Loughborough University
         Bj√∂rn Ottersten; University of Luxembourg
 
SS-L24.4: COOPERATIVE DEEP REINFORCEMENT LEARNING FOR MULTIPLE-GROUP NB-IOT NETWORKS OPTIMIZATION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Nan Jiang; Queen Mary University of London
         Yansha Deng; King's College London
         Osvaldo Simeone; King's College London
         Arumugam Nallanathan; Queen Mary University of London
 
SS-L24.5: DEEP LEARNING BASED ONLINE POWER CONTROL FOR LARGE ENERGY HARVESTING NETWORKS
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Mohit Kumar Sharma; CentraleSupelec, Universite Paris-Saclay
         Alessio Zappone; CentraleSupelec, Universite Paris-Saclay
         Merouane Debbah; CentraleSupelec, Universite Paris-Saclay and Huawei France R&D
         Mohamad Assaad; CentraleSupelec, Universite Paris-Saclay
 
SS-L24.6: A VARIATIONAL BAYES APPROACH TO ADAPTIVE CHANNEL-GAIN CARTOGRAPHY
Manuscript Link:  Click here to view manuscript on IEEE Xplore
         Donghoon Lee; University of Minnesota
         Georgios B. Giannakis; University of Minnesota