{"title":"Low-Complexity Maximum-Likelihood Detectors Incorporating Pre-Calculated Symbol Metrics for Differential Spatial Modulation","authors":"Ruey-Yi Wei;Chun-Yi Chen","doi":"10.1109/LWC.2025.3534899","DOIUrl":null,"url":null,"abstract":"Differential spatial modulation (DSM) eliminates channel estimation and enables the transmission of additional data bits without requiring more radio frequency chains. Space-time block coded DSM (STBC-DSM) employs STBC to improve transmit diversity. However, the complexity of the original maximum-likelihood (ML) detector for either DSM or STBC-DSM grows exponentially with the number of transmit antennas. In our earlier papers, we proposed low-complexity ML detectors, but the same symbol metrics of these detectors are calculated repeatedly. In this letter, we further decrease the complexity of these ML detectors. Symbol metrics are pre-calculated, and DSM metrics are derived by incorporating these symbol metrics. For DSM, the proposed ML detectors are simpler than all existing detectors.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 4","pages":"1124-1128"},"PeriodicalIF":5.5000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10855589/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Differential spatial modulation (DSM) eliminates channel estimation and enables the transmission of additional data bits without requiring more radio frequency chains. Space-time block coded DSM (STBC-DSM) employs STBC to improve transmit diversity. However, the complexity of the original maximum-likelihood (ML) detector for either DSM or STBC-DSM grows exponentially with the number of transmit antennas. In our earlier papers, we proposed low-complexity ML detectors, but the same symbol metrics of these detectors are calculated repeatedly. In this letter, we further decrease the complexity of these ML detectors. Symbol metrics are pre-calculated, and DSM metrics are derived by incorporating these symbol metrics. For DSM, the proposed ML detectors are simpler than all existing detectors.
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. 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 wireless communication systems.