Capacity Optimizing Resource Allocation in Joint Source-Channel Coding Systems With QoS Constraints

Benefited from the advances of deep learning (DL) techniques, deep joint source-channel coding (JSCC) has shown its great potential to improve the performance of wireless transmission. However, most of the existing works focus on the DL-based transceiver design of the JSCC model, while ignoring the...

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Vydáno v:	IEEE transactions on communications Ročník 73; číslo 6; s. 4198 - 4212
Hlavní autoři:	Chi, Kaiyi, Yang, Qianqian, Yang, Zhaohui, Duan, Yiping, Zhang, Zhaoyang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Bregman alternating direction method of multipliers Channel coding Coding Complexity Compression ratio Constraints Decoding Decomposition Encoding Greedy algorithms Image coding Image communication Joint source-channel coding Network latency Optimization Performance enhancement power allocation Quality of service Resource allocation Resource management Semantics Signal to noise ratio Simulation Symbols User satisfaction
ISSN:	0090-6778, 1558-0857
On-line přístup:	Získat plný text
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