{"title":"基于改进迭代并行干扰消除器的分层空时结构自适应发射功率分配","authors":"M. Karim, Yonghui Li, B. Vucetic","doi":"10.1109/ICICS.2005.1689153","DOIUrl":null,"url":null,"abstract":"Multiple antenna systems have potential to achieve a high capacity compared to a single antenna system in a Rayleigh fading environment. Layered space time (LST) architecture can attain a tight lower bound on the MIMO channel capacity. In (S. Marinkovic, et al., 2001) it is shown that for LST system, the iterative parallel interference canceller with decision statistics combiner (PIC-DSC) can achieve the performance of minimum mean square error (MMSE) receiver. Besides, once partial channel state information is available at transmitter, substantial performance improvement can be attained through allocating power across various transmitting antennas. In this paper, we address the problem of the design of a power allocation strategy for LST architecture with iterative PIC-DSC at receiver. Minimization of bit error rate is employed as the optimization criterion. Convolutional code is used as constituent code. Compared to existing method, the proposed scheme significantly outperforms the conventional LST system","PeriodicalId":425178,"journal":{"name":"2005 5th International Conference on Information Communications & Signal Processing","volume":"277 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Transmit Power Allocation for Layered Space-Time Architecture with Improved Iterative Parallel Interference Canceller (PIG)\",\"authors\":\"M. Karim, Yonghui Li, B. Vucetic\",\"doi\":\"10.1109/ICICS.2005.1689153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple antenna systems have potential to achieve a high capacity compared to a single antenna system in a Rayleigh fading environment. Layered space time (LST) architecture can attain a tight lower bound on the MIMO channel capacity. In (S. Marinkovic, et al., 2001) it is shown that for LST system, the iterative parallel interference canceller with decision statistics combiner (PIC-DSC) can achieve the performance of minimum mean square error (MMSE) receiver. Besides, once partial channel state information is available at transmitter, substantial performance improvement can be attained through allocating power across various transmitting antennas. In this paper, we address the problem of the design of a power allocation strategy for LST architecture with iterative PIC-DSC at receiver. Minimization of bit error rate is employed as the optimization criterion. Convolutional code is used as constituent code. Compared to existing method, the proposed scheme significantly outperforms the conventional LST system\",\"PeriodicalId\":425178,\"journal\":{\"name\":\"2005 5th International Conference on Information Communications & Signal Processing\",\"volume\":\"277 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 5th International Conference on Information Communications & Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICS.2005.1689153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 5th International Conference on Information Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2005.1689153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在瑞利衰落环境下,与单天线系统相比,多天线系统具有实现高容量的潜力。分层时空(LST)结构可以获得MIMO信道容量的严格下界。在(S. Marinkovic, et al., 2001)中表明,对于LST系统,带有决策统计组合器(PIC-DSC)的迭代并行干扰消除器可以达到最小均方误差(MMSE)接收机的性能。此外,一旦发射器上的部分信道状态信息可用,通过在各个发射天线之间分配功率可以获得实质性的性能改进。在本文中,我们解决了LST架构的功率分配策略的设计问题,该策略在接收机处具有迭代PIC-DSC。以误码率最小为优化准则。使用卷积码作为组成码。与现有方法相比,该方案显著优于传统的LST系统
Adaptive Transmit Power Allocation for Layered Space-Time Architecture with Improved Iterative Parallel Interference Canceller (PIG)
Multiple antenna systems have potential to achieve a high capacity compared to a single antenna system in a Rayleigh fading environment. Layered space time (LST) architecture can attain a tight lower bound on the MIMO channel capacity. In (S. Marinkovic, et al., 2001) it is shown that for LST system, the iterative parallel interference canceller with decision statistics combiner (PIC-DSC) can achieve the performance of minimum mean square error (MMSE) receiver. Besides, once partial channel state information is available at transmitter, substantial performance improvement can be attained through allocating power across various transmitting antennas. In this paper, we address the problem of the design of a power allocation strategy for LST architecture with iterative PIC-DSC at receiver. Minimization of bit error rate is employed as the optimization criterion. Convolutional code is used as constituent code. Compared to existing method, the proposed scheme significantly outperforms the conventional LST system