Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding

Author:

Dai Jincheng1ORCID,Wang Sixian1ORCID,Yang Ke1,Tan Kailin1,Qin Xiaoqi2ORCID,Si Zhongwei1ORCID,Niu Kai2ORCID,Zhang Ping2ORCID

Affiliation:

1. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Program for Youth Innovative Research Team of Beijing University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Variational learned talking-head semantic coded transmission system;China Communications;2024-07

2. AdaSem: Adaptive Goal-Oriented Semantic Communications for End-to-End Camera Relocalization;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

3. Classification-Oriented Semantic Wireless Communications;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Modeling and Optimization of Video Transmission in Data Compression & Source Coding;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

5. Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications;IEEE Journal of Selected Topics in Signal Processing;2023-09

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