西安电子科技大学学报（自然科学版）2024，Vol.51Issue(3)：9-18,10.DOI:10.19665/j.issn1001-2400.20240203
面向带宽受限场景的高效语义通信方法
Efficient semantic communication method for bandwidth constrained scenarios
摘要
Abstract
Semantic communication provides a new research perspective for communication system optimization and performance improvement.However,current research on semantic communication ignores the impact of communication overhead and does not consider the relationship between semantic communication performance and communication overhead,resulting in difficulty in improving semantic communication performance when the bandwidth resource is limited.Therefore,an information bottleneck based semantic communication method for text sources is proposed.First,the Transformer model is used for semantic and channel joint encoding and decoding,and a feature selection module is designed to identify and delete redundant information,and then an end-to-end semantic communication model is constructed in the method;Second,considering the tradeoff between semantic communication performance and communication cost,a loss function is designed based on the information bottleneck theory to ensure the semantic communication performance,reduce the communication cost,and complete the training and optimization of the semantic communication model.Experimental results show that on the proceedings of the European Parliament,compared with the baseline model,the proposed method can reduce communication overhead by 20%～30%while ensuring communication performance.Under the same bandwidth conditions,the BLEU score of this method can be increased by 5%.Experimental results prove that the proposed method can effectively reduce the semantic communication overhead,thereby improving semantic communication performance when the bandwidth resource is limited.关键词
语义通信/通信系统/深度学习/Transformer/特征选择模块/信息瓶颈理论Key words
semantic communication/communication systems/deep learning/transformer/feature selection module/information bottleneck theory分类
信息技术与安全科学引用本文复制引用
刘伟,王孟洋,白宝明..面向带宽受限场景的高效语义通信方法[J].西安电子科技大学学报（自然科学版）,2024,51(3):9-18,10.基金项目
国家重点研发计划项目(2021 YFA1000500) （2021 YFA1000500）
陕西省重点研发计划项目(2022ZDLGY05-05) （2022ZDLGY05-05）
