{"title":"复合信道中协同空间复用的平均符号错误率","authors":"T. Duong, Hans-Jürgen Zepernick","doi":"10.1109/ISWCS.2008.4726072","DOIUrl":null,"url":null,"abstract":"Performance of cooperative spatial multiplexing systems over composite channels is presented. In particular, we derive the closed-form average symbol error rate (SER) expression for cooperative spatial multiplexing systems with linear equalization receiver (e.g. Zero-Forcing) and M-ary modulation scheme in the composite channel of log-normal shadowing and Rayleigh fading. Using the Gauss-Hermite quadrature integration, the average SER is expressed in the form of the Appell hypergeometric function. Applying the series representation of the Appell hypergeometric function, we derive a very tight approximation for the average SER. We also perform Monte-Carlo simulations to validate our analysis. Subsequently, we apply the obtained analytical SER expression to evaluate some representative cooperative spatial multiplexing scenarios in composite channels.","PeriodicalId":158650,"journal":{"name":"2008 IEEE International Symposium on Wireless Communication Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Average symbol error rate of cooperative spatial multiplexing in composite channels\",\"authors\":\"T. Duong, Hans-Jürgen Zepernick\",\"doi\":\"10.1109/ISWCS.2008.4726072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performance of cooperative spatial multiplexing systems over composite channels is presented. In particular, we derive the closed-form average symbol error rate (SER) expression for cooperative spatial multiplexing systems with linear equalization receiver (e.g. Zero-Forcing) and M-ary modulation scheme in the composite channel of log-normal shadowing and Rayleigh fading. Using the Gauss-Hermite quadrature integration, the average SER is expressed in the form of the Appell hypergeometric function. Applying the series representation of the Appell hypergeometric function, we derive a very tight approximation for the average SER. We also perform Monte-Carlo simulations to validate our analysis. Subsequently, we apply the obtained analytical SER expression to evaluate some representative cooperative spatial multiplexing scenarios in composite channels.\",\"PeriodicalId\":158650,\"journal\":{\"name\":\"2008 IEEE International Symposium on Wireless Communication Systems\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2008.4726072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2008.4726072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Average symbol error rate of cooperative spatial multiplexing in composite channels
Performance of cooperative spatial multiplexing systems over composite channels is presented. In particular, we derive the closed-form average symbol error rate (SER) expression for cooperative spatial multiplexing systems with linear equalization receiver (e.g. Zero-Forcing) and M-ary modulation scheme in the composite channel of log-normal shadowing and Rayleigh fading. Using the Gauss-Hermite quadrature integration, the average SER is expressed in the form of the Appell hypergeometric function. Applying the series representation of the Appell hypergeometric function, we derive a very tight approximation for the average SER. We also perform Monte-Carlo simulations to validate our analysis. Subsequently, we apply the obtained analytical SER expression to evaluate some representative cooperative spatial multiplexing scenarios in composite channels.