{"title":"On the achievable rate of multi-antenna receivers with oversampled 1-bit quantization","authors":"Sandra Bender, Meik Dörpinghaus, G. Fettweis","doi":"10.1109/CAMSAP.2017.8313087","DOIUrl":null,"url":null,"abstract":"We analyze the spectral efficiency of a 1-bit quantized multiple-input multiple-output channel with oversampling in time, where 1-bit quantization could become a key component to achieve the energy efficiency that is required for future communication systems. Applying adapted signaling schemes and appropriate power allocation algorithms, we derive lower bounds on the spectral efficiency based on results for the single-input single-output case. We show the potential gain compared to previous results without oversampling.","PeriodicalId":315977,"journal":{"name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMSAP.2017.8313087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We analyze the spectral efficiency of a 1-bit quantized multiple-input multiple-output channel with oversampling in time, where 1-bit quantization could become a key component to achieve the energy efficiency that is required for future communication systems. Applying adapted signaling schemes and appropriate power allocation algorithms, we derive lower bounds on the spectral efficiency based on results for the single-input single-output case. We show the potential gain compared to previous results without oversampling.