{"title":"量化MIMO波束形成系统的码本自适应","authors":"R. Samanta, R. Heath","doi":"10.1109/ACSSC.2005.1599772","DOIUrl":null,"url":null,"abstract":"Quantized multiple-input multiple-output (MIMO) beamforming systems use predesigned codebooks for the quantization of transmit beamforming vectors. The quantized vector, which is conveyed to the transmitter using a low-rate feedback channel, is used for transmission to provide significant diversity and array gain. The codebook for quantization is a function of the channel distribution, and is typically designed for fixed channel distributions. In this paper, we propose a channel adaptive feedback strategy for arbitrary channel distributions, and present a simple codebook design methodology based on the channel statistics. The codebook for quantization is dynamically chosen rom a structured set of pre-designed codebooks, called the code set, wherein all codebooks are derived from one mother codebook. Simulations illustrate that the proposed method can improve error rate performance in correlated and/or channels with strongly line-of-sight components","PeriodicalId":326489,"journal":{"name":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"48","resultStr":"{\"title\":\"Codebook Adaptation for Quantized MIMO Beamforming Systems\",\"authors\":\"R. Samanta, R. Heath\",\"doi\":\"10.1109/ACSSC.2005.1599772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantized multiple-input multiple-output (MIMO) beamforming systems use predesigned codebooks for the quantization of transmit beamforming vectors. The quantized vector, which is conveyed to the transmitter using a low-rate feedback channel, is used for transmission to provide significant diversity and array gain. The codebook for quantization is a function of the channel distribution, and is typically designed for fixed channel distributions. In this paper, we propose a channel adaptive feedback strategy for arbitrary channel distributions, and present a simple codebook design methodology based on the channel statistics. The codebook for quantization is dynamically chosen rom a structured set of pre-designed codebooks, called the code set, wherein all codebooks are derived from one mother codebook. Simulations illustrate that the proposed method can improve error rate performance in correlated and/or channels with strongly line-of-sight components\",\"PeriodicalId\":326489,\"journal\":{\"name\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"48\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2005.1599772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2005.1599772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Codebook Adaptation for Quantized MIMO Beamforming Systems
Quantized multiple-input multiple-output (MIMO) beamforming systems use predesigned codebooks for the quantization of transmit beamforming vectors. The quantized vector, which is conveyed to the transmitter using a low-rate feedback channel, is used for transmission to provide significant diversity and array gain. The codebook for quantization is a function of the channel distribution, and is typically designed for fixed channel distributions. In this paper, we propose a channel adaptive feedback strategy for arbitrary channel distributions, and present a simple codebook design methodology based on the channel statistics. The codebook for quantization is dynamically chosen rom a structured set of pre-designed codebooks, called the code set, wherein all codebooks are derived from one mother codebook. Simulations illustrate that the proposed method can improve error rate performance in correlated and/or channels with strongly line-of-sight components