Performance Optimization for Wireless Semantic Communications over Energy Harvesting Networks

Mingzhe Chen, Yining Wang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, the optimization of semantic communications over energy harvesting networks is studied. In the considered model, a set of users use semantic communication techniques and the harvested energy to transmit text data to a base station (BS). Here, semantic communication techniques enable each user to transmit the meaning of the original data (called semantic information) thereby reducing its transmission delay and energy consumption. The BS will recover the data using the received semantic information. To further improve communication efficiency, each user can transmit only partial semantic information to the BS. Therefore, each user needs to jointly determine the partial semantic information to be transmitted and the resource block (RB) that is used for semantic information transmission. This problem is formulated as an optimization problem whose goal is to maximize the sum of all users' similarities that capture the differences between the original data that each user needs to transmit and the data recovered by the BS. To solve this problem, a value decomposition based deep Q network is proposed, which enables the users to jointly find the semantic information transmission and the RB allocation schemes that maximize the sum of all users' similarities. Simulation results demonstrate that the proposed method can improve sum of all users' similarities by up to threefold compared to the independent reinforcement learning.

Original languageEnglish (US)
Title of host publication2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8647-8651
Number of pages5
ISBN (Electronic)9781665405409
DOIs
StatePublished - 2022
Event47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
Duration: May 23 2022May 27 2022

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2022-May
ISSN (Print)1520-6149

Conference

Conference47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Country/TerritorySingapore
CityVirtual, Online
Period5/23/225/27/22

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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