{"title":"用二进制阵列接收机进行无线通信的MIMO或SIMO","authors":"Lifu Liu, Y. Ma, R. Tafazolli","doi":"10.1109/ICCWorkshops49005.2020.9145094","DOIUrl":null,"url":null,"abstract":"Detecting high-resolution signals at binary-array receivers can yield a stochastic-resonance phenomenon. It is found, through mathematical means, that the error probability of maximum-likelihood detection (MLD) forms a convex function of the SNR; and the optimum operating-SNR increases mono-tonically with the signal resolution. This phenomenon encourages the use of MIMO at higher SNRs and SIMO at lower SNRs in terms of the error probability; as the former often has their signal resolutions higher than the latter. This observation also motivates a fundamental rethinking to determine whether to use MIMO or SIMO for wireless communications given binary-array receivers. In fact, there are a number of arguable advantages for SIMO, including wider coverage, higher point-to-point throughput, as well as lower complexity of the MLD. All of these are extensively investigated in this paper through both analytical work and computer simulations.","PeriodicalId":254869,"journal":{"name":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"MIMO or SIMO for Wireless Communications with Binary-Array Receivers\",\"authors\":\"Lifu Liu, Y. Ma, R. Tafazolli\",\"doi\":\"10.1109/ICCWorkshops49005.2020.9145094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting high-resolution signals at binary-array receivers can yield a stochastic-resonance phenomenon. It is found, through mathematical means, that the error probability of maximum-likelihood detection (MLD) forms a convex function of the SNR; and the optimum operating-SNR increases mono-tonically with the signal resolution. This phenomenon encourages the use of MIMO at higher SNRs and SIMO at lower SNRs in terms of the error probability; as the former often has their signal resolutions higher than the latter. This observation also motivates a fundamental rethinking to determine whether to use MIMO or SIMO for wireless communications given binary-array receivers. In fact, there are a number of arguable advantages for SIMO, including wider coverage, higher point-to-point throughput, as well as lower complexity of the MLD. All of these are extensively investigated in this paper through both analytical work and computer simulations.\",\"PeriodicalId\":254869,\"journal\":{\"name\":\"2020 IEEE International Conference on Communications Workshops (ICC Workshops)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Communications Workshops (ICC Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCWorkshops49005.2020.9145094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Communications Workshops (ICC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCWorkshops49005.2020.9145094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MIMO or SIMO for Wireless Communications with Binary-Array Receivers
Detecting high-resolution signals at binary-array receivers can yield a stochastic-resonance phenomenon. It is found, through mathematical means, that the error probability of maximum-likelihood detection (MLD) forms a convex function of the SNR; and the optimum operating-SNR increases mono-tonically with the signal resolution. This phenomenon encourages the use of MIMO at higher SNRs and SIMO at lower SNRs in terms of the error probability; as the former often has their signal resolutions higher than the latter. This observation also motivates a fundamental rethinking to determine whether to use MIMO or SIMO for wireless communications given binary-array receivers. In fact, there are a number of arguable advantages for SIMO, including wider coverage, higher point-to-point throughput, as well as lower complexity of the MLD. All of these are extensively investigated in this paper through both analytical work and computer simulations.