Extended context-based semantic communication system for text transmission

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外文摘要：Context information is significant for semantic extraction and recovery of messages in semantic communication.However,context information is not fully utilized in the existing semantic communication systems since re-lationships between sentences are often ignored.In this paper,we propose an Extended Context-based Semantic Communication(ECSC)system for text transmission,in which context information within and between sentences is explored for semantic representation and recovery.At the encoder,self-attention and segment-level relative attention are used to extract context information within and between sentences,respectively.In addition,a gate mechanism is adopted at the encoder to incorporate the context information from different ranges.At the decoder,Transformer-XL is introduced to obtain more semantic information from the historical communication processes for semantic recovery.Simulation results show the effectiveness of our proposed model in improving the semantic accuracy between transmitted and recovered messages under various channel conditions.

外文关键词：

semantic communicationextended contextTransformer-XL

作者：

Yueling Liu、Shengteng Jiang、Yichi Zhang、Kuo Cao、Li Zhou、Boon-Chong Seet、Haitao Zhao、Jibo Wei

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作者单位：

College of Electronic Science and Technology,National University of Defense Technology,Changsha,410073,China

Department of Electrical and Electronic Engineering,Auckland University of Technology,Auckland,New Zealand

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of Chinascience and technology innovation Program of Hunan Province

项目编号：

61931020U19B202462171449620014832021JJ40690

出版年：

2024

DOI：

10.1016/j.dcan.2022.09.023

数字通信与网络(英文)

ISSN：

年,卷(期)：2024.10(3)