Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 4; pp. 2315 - 2328
• Main Authors: Xu, Jialong, Ai, Bo, Chen, Wei, Yang, Ang, Sun, Peng, Rodrigues, Miguel
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: attention mechanism; Channel coding; Coding; Compression ratio; Decoding; deep learning; deep neural network; Image coding; Image transmission; Joint source channel coding; Resource allocation; Signal to noise ratio; Source coding; Training; Transform coding; Wireless communication; Wireless communications

Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing work on DL based JSCC usually trains the designed network to operate under a specific signal-to-noise ratio (SNR) regime,...