SPCOM-P2.2
CORRELATION-BASED MACHINE LEARNING TECHNIQUES FOR CHANNEL ESTIMATION WITH FLUID ANTENNAS
Shuyan Ji, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland; Constantinos Psomas, University of Cyprus, Cyprus; John Thompson, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland
Session:
SPCOM-P2: Machine Learning for Communications Poster
Track:
Signal Processing for Communications and Networking
Location:
Poster Zone 1A
Poster Board PZ-1A.2
Poster Board PZ-1A.2
Presentation Time:
Tue, 16 Apr, 16:30 - 18:30 (UTC +9)
Session Chair:
Timothy Davidson, McMaster University
Session SPCOM-P2
SPCOM-P2.1: DATA-AIDED CHANNEL ESTIMATION UTILIZING GAUSSIAN MIXTURE MODELS
Franz Weißer, Nurettin Turan, Dominik Semmler, Wolfgang Utschick, Technical University of Munich, Germany
SPCOM-P2.2: CORRELATION-BASED MACHINE LEARNING TECHNIQUES FOR CHANNEL ESTIMATION WITH FLUID ANTENNAS
Shuyan Ji, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland; Constantinos Psomas, University of Cyprus, Cyprus; John Thompson, University of Edinburgh, United Kingdom of Great Britain and Northern Ireland
SPCOM-P2.3: Learnable Statistical Moments Pooling for Automatic Modulation Classification
Clayton Harper, Mitchell Thornton, Eric Larson, Southern Methodist University, United States of America
SPCOM-P2.4: CRC-AIDED LEARNED ENSEMBLES OF BELIEF-PROPAGATION POLAR DECODERS
Tomer Raviv, Alon Goldman, Ofek Vayner, BGU, Israel; Yair Be’ery, TAU, Israel; Nir Shlezinger, BGU, Israel
SPCOM-P2.5: PJSCC: A PUNCTURING-BASED JOINT SOURCE CHANNEL CODING SCHEME WITH HIERARCHICAL DOWN-SAMPLING LAYER
Yihao Chen, Tongji University, China; Bin Tan, Jinggangshan University, China; Jun Wu, Die Hu, Fudan University, China
SPCOM-P2.6: PRIVACY-AWARE JOINT SOURCE-CHANNEL CODING FOR IMAGE TRANSMISSION BASED ON DISENTANGLED INFORMATION BOTTLENECK
Lunan Sun, Caili Guo, Beijing University of Posts and Telecommunications, China; Mingzhe Chen, University of Miami, United States of America; Yang Yang, Beijing University of Posts and Telecommunications, China
SPCOM-P2.7: Deep Optimization of relay networks - Using Relays as Neurons
Itsik Bergel, Bar Ilan University, Israel
SPCOM-P2.8: Deep Reinforcement Learning for Energy Minimization in Multi-RIS-Aided Cell-Free MEC Networks
Mengying Sun, Beijing University of Posts and Telecommunications, China; Wanli Ni, Tsinghua University, China; Xiaodong Xu, Xiaofeng Tao, Beijing University of Posts and Telecommunications, China
SPCOM-P2.9: A Neural-enhanced Factor Graph-based Algorithm for Robust Positioning in Obstructed LOS Situations
Alexander Venus, Erik Leitinger, Stefan Tertinek, Klaus Witrisal, Graz University of Technology - SPSC Inffeldgasse 12 , Graz 8010 Austria
SPCOM-P2.10: TOWARDS FASTER END-TO-END DATA TRANSMISSION OVER VOICE CHANNELS
Weijun Zhang, Hao Han, Mingwei Li, Yulong Tian, Nanjing University of Aeronautics and Astronautics, China
SPCOM-P2.11: FAST AND ACCURATE ROOT CAUSE ANALYSIS BASED ON SIGNALLING MESSAGES FOR 5G NETWORKS
Zhaorui Guo, Jiyan Sun, Jiadong Fu, Lu Yuan, Shangyuan Zhuang, Liru Geng, Yinlong Liu, Wei Ma, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, China
Contacts