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Deep Learning in Physical Layer: Review on Data Driven End-to-End
  Communication Systems and their Enabling Semantic Applications

Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications

8 January 2024
Nazmul Islam
Seokjoo Shin
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications"

6 / 6 papers shown
Title
Robust Information Bottleneck for Task-Oriented Communication with
  Digital Modulation
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation
Songjie Xie
Shuaijie Ma
Ming Ding
Yuanming Shi
Ming-Fu Tang
Youlong Wu
20
70
0
21 Sep 2022
Wireless Deep Video Semantic Transmission
Wireless Deep Video Semantic Transmission
Sixian Wang
Jincheng Dai
Zijian Liang
K. Niu
Zhongwei Si
Chao Dong
Xiaoqi Qin
Ping Zhang
3DV
DiffM
36
140
0
26 May 2022
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
27
211
0
08 Feb 2021
Trimming the Fat from OFDM: Pilot- and CP-less Communication with
  End-to-end Learning
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning
Fayçal Ait Aoudia
J. Hoydis
10
10
0
20 Jan 2021
Wireless Image Retrieval at the Edge
Wireless Image Retrieval at the Edge
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
65
201
0
21 Jul 2020
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
87
2,158
0
02 Feb 2017
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