Daniel Rohweder, Patrick Oleschak, S. Shavgulidze, J. Freudenberger
{"title":"Generalized Multistream Spatial Modulation Based on One Mannheim Error Correcting Codes and their Low-Complexity Detection","authors":"Daniel Rohweder, Patrick Oleschak, S. Shavgulidze, J. Freudenberger","doi":"10.1109/ICCE-Berlin50680.2020.9352168","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel transmission scheme for generalized multistream spatial modulation. This new approach uses one Mannheim error correcting codes over Gaussian or Eisenstein integers as multidimensional signal constellations. These codes enable a suboptimal decoding strategy with near maximum likelihood performance for transmission over the additive white Gaussian noise channel. In this contribution, this decoding algorithm is generalized to the detection for generalized multistream spatial modulation. The proposed method can out-perform conventional generalized multistream spatial modulation with respect to decoding performance, detection complexity, and spectral efficiency.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a novel transmission scheme for generalized multistream spatial modulation. This new approach uses one Mannheim error correcting codes over Gaussian or Eisenstein integers as multidimensional signal constellations. These codes enable a suboptimal decoding strategy with near maximum likelihood performance for transmission over the additive white Gaussian noise channel. In this contribution, this decoding algorithm is generalized to the detection for generalized multistream spatial modulation. The proposed method can out-perform conventional generalized multistream spatial modulation with respect to decoding performance, detection complexity, and spectral efficiency.