{"title":"多天线用户 FDD 大规模 MIMO 系统的两级波束成形和组合方案","authors":"Wu Zheng, Chen Liu, Yunchao Song, Tianbao Gao","doi":"10.1049/cmu2.12811","DOIUrl":null,"url":null,"abstract":"<p>This paper proposes a two-stage beamforming and combining scheme in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems with multi-antenna users. Specifically, the proposed scheme is a two-stage scheme, where the pre-beamforming matrix and pre-combining matrix are designed using the channel covariance matrix (CCM) in the first stage. The problem of the pre-beamforming matrix and pre-combining matrix design are formulated as an 0–1 quadratic integer programming problem. To solve this problem, it is further transformed into an 0–1 mixed linear integer programming problem. In the second stage, the sparse code multiple access and multi-user precoding and combining are adopted to mitigate the inter-user interference. Different from the previous transmission scheme using CCM, the proposed scheme consider the multi-antenna user system, and uses the CCM to design both the pre-beamforming and pre-combining matrices to sparsify the effective channel matrix, such that the overhead of pilot and feedback can be reduced. Moreover, the sparse code multiple access can help to better reduce the inter-user interference. Simulation results validate the good performance of the proposed scheme.</p>","PeriodicalId":55001,"journal":{"name":"IET Communications","volume":"18 18","pages":"1166-1178"},"PeriodicalIF":1.5000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cmu2.12811","citationCount":"0","resultStr":"{\"title\":\"Two stage beamforming and combining scheme for FDD massive MIMO systems with multi-antenna users\",\"authors\":\"Wu Zheng, Chen Liu, Yunchao Song, Tianbao Gao\",\"doi\":\"10.1049/cmu2.12811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper proposes a two-stage beamforming and combining scheme in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems with multi-antenna users. Specifically, the proposed scheme is a two-stage scheme, where the pre-beamforming matrix and pre-combining matrix are designed using the channel covariance matrix (CCM) in the first stage. The problem of the pre-beamforming matrix and pre-combining matrix design are formulated as an 0–1 quadratic integer programming problem. To solve this problem, it is further transformed into an 0–1 mixed linear integer programming problem. In the second stage, the sparse code multiple access and multi-user precoding and combining are adopted to mitigate the inter-user interference. Different from the previous transmission scheme using CCM, the proposed scheme consider the multi-antenna user system, and uses the CCM to design both the pre-beamforming and pre-combining matrices to sparsify the effective channel matrix, such that the overhead of pilot and feedback can be reduced. Moreover, the sparse code multiple access can help to better reduce the inter-user interference. Simulation results validate the good performance of the proposed scheme.</p>\",\"PeriodicalId\":55001,\"journal\":{\"name\":\"IET Communications\",\"volume\":\"18 18\",\"pages\":\"1166-1178\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cmu2.12811\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/cmu2.12811\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Communications","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cmu2.12811","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Two stage beamforming and combining scheme for FDD massive MIMO systems with multi-antenna users
This paper proposes a two-stage beamforming and combining scheme in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems with multi-antenna users. Specifically, the proposed scheme is a two-stage scheme, where the pre-beamforming matrix and pre-combining matrix are designed using the channel covariance matrix (CCM) in the first stage. The problem of the pre-beamforming matrix and pre-combining matrix design are formulated as an 0–1 quadratic integer programming problem. To solve this problem, it is further transformed into an 0–1 mixed linear integer programming problem. In the second stage, the sparse code multiple access and multi-user precoding and combining are adopted to mitigate the inter-user interference. Different from the previous transmission scheme using CCM, the proposed scheme consider the multi-antenna user system, and uses the CCM to design both the pre-beamforming and pre-combining matrices to sparsify the effective channel matrix, such that the overhead of pilot and feedback can be reduced. Moreover, the sparse code multiple access can help to better reduce the inter-user interference. Simulation results validate the good performance of the proposed scheme.
期刊介绍:
IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth.
Topics include, but are not limited to:
Coding and Communication Theory;
Modulation and Signal Design;
Wired, Wireless and Optical Communication;
Communication System
Special Issues. Current Call for Papers:
Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf
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