基于压缩比优化的概率语义通信和速率最大化

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2024-10-01 DOI:10.1109/LCOMM.2024.3471610

Jianxin Dai;Lingyuxiu Li;Zhaohui Yang;Hongyang Chen;Mohammad Shikh-Bahaei

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引用次数: 0

摘要

本文研究了下行概率语义通信（PSC）系统的和速率最大化问题。在所考虑的模型中，基站（BS）在语义信息提取过程中通过知识库计算小尺寸压缩信息。在用户端，接收到的压缩语义信息通过BS和用户之间的共享知识库进行恢复。压缩比的优化在PSC中具有重要意义，它关系到信息传输过程中的通信效率，也影响到语义信息提取过程中的计算效率。通过优化压缩比、带宽分配和传输功率，提出了一个和速率最大化问题。为了解决这一问题，提出了一种迭代算法，在每次迭代中以封闭形式获得压缩比和带宽分配的最优解。仿真结果验证了该算法的有效性，并与传统方案进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sum Rate Maximization for Probalistic Semantic Communication via Compression Ratio Optimization

In this letter, the sum rate maximization problem for a downlink probalistic semantic communication (PSC) system is investigated. In the model under consideration, the base station (BS) computes the small-size compressed information through knowledge base in the semantic information extraction process. At the user side, the received compressed semantic information is recovered with the help of shared knowledge base between the BS and the user. It is of importance to optimize the compression ratio in PSC, which is related to the communication efficiency during the information transmission process and also affects the computation efficiency during the semantic information extraction process. A sum rate maximization problem is formulated through optimizing the compression ratio, bandwidth allocation, and transmit power. In order to address this problem, an iterative algorithm is proposed where at each iteration the optimal solutions for compression ratio and bandwidth allocation are obtained in closed form. Simulation results confirm the effectiveness of the proposed algorithm, in comparison to the conventional scheme.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.