Xueyi Li, Liping Luo, Guangchi Zhang, Qi Zhang, J. Qin
{"title":"带零强制中继的MIMO多中继系统资源分配","authors":"Xueyi Li, Liping Luo, Guangchi Zhang, Qi Zhang, J. Qin","doi":"10.1109/SOLI.2013.6611399","DOIUrl":null,"url":null,"abstract":"In this paper, we consider a two-hop multiple-input multiple-output (MIMO) multiple relays communication networks, where each relay employs the zero-forcing (ZF) relaying scheme, we assume that the perfect channel state information (CSI) is available at the source, the destination and the relays. We propose a total relays power allocation (PA) scheme with the sum relays transmit power constraint to maximize the average system capacity. Since the original PA optimization problem is not convex, it is difficult to derive an analytical solution, so we propose to simplify the problem by employing the relaxed power constraint which is slightly higher than the actual sum relays power, then we derive the closed-form solution. The Monte Carlo simulation results shown that our proposed joint PA scheme significantly improves the system capacity compared with the conventional ZF relaying scheme.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Resource allocation for MIMO multi-relay systems with zero-forcing relaying\",\"authors\":\"Xueyi Li, Liping Luo, Guangchi Zhang, Qi Zhang, J. Qin\",\"doi\":\"10.1109/SOLI.2013.6611399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider a two-hop multiple-input multiple-output (MIMO) multiple relays communication networks, where each relay employs the zero-forcing (ZF) relaying scheme, we assume that the perfect channel state information (CSI) is available at the source, the destination and the relays. We propose a total relays power allocation (PA) scheme with the sum relays transmit power constraint to maximize the average system capacity. Since the original PA optimization problem is not convex, it is difficult to derive an analytical solution, so we propose to simplify the problem by employing the relaxed power constraint which is slightly higher than the actual sum relays power, then we derive the closed-form solution. The Monte Carlo simulation results shown that our proposed joint PA scheme significantly improves the system capacity compared with the conventional ZF relaying scheme.\",\"PeriodicalId\":147180,\"journal\":{\"name\":\"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOLI.2013.6611399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2013.6611399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource allocation for MIMO multi-relay systems with zero-forcing relaying
In this paper, we consider a two-hop multiple-input multiple-output (MIMO) multiple relays communication networks, where each relay employs the zero-forcing (ZF) relaying scheme, we assume that the perfect channel state information (CSI) is available at the source, the destination and the relays. We propose a total relays power allocation (PA) scheme with the sum relays transmit power constraint to maximize the average system capacity. Since the original PA optimization problem is not convex, it is difficult to derive an analytical solution, so we propose to simplify the problem by employing the relaxed power constraint which is slightly higher than the actual sum relays power, then we derive the closed-form solution. The Monte Carlo simulation results shown that our proposed joint PA scheme significantly improves the system capacity compared with the conventional ZF relaying scheme.