An Efficient Channel Block Diagonalization Method for Generalized Zero Forcing Assisted MIMO Broadcasting Systems
Generalized Zero Forcing (GZF) is an extension of the zero forcing beamforming method to deal with downlink multiuser MIMO communications when users have more than one receive antenna. In literature, Singular Value Decomposition (SVD) based channel Block Diagonalization (BD) is proposed to eliminate...
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| Vydané v: | IEEE transactions on wireless communications Ročník 10; číslo 3; s. 739 - 744 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York, NY
IEEE
01.03.2011
Institute of Electrical and Electronics Engineers |
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| ISSN: | 1536-1276 |
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| Abstract | Generalized Zero Forcing (GZF) is an extension of the zero forcing beamforming method to deal with downlink multiuser MIMO communications when users have more than one receive antenna. In literature, Singular Value Decomposition (SVD) based channel Block Diagonalization (BD) is proposed to eliminate multiuser interference for GZF, but it is computationally inefficient. In this letter, we propose to generate a GZF precoder by using the product of a channel pseudo inverse matrix and a block diagonal matrix with an appropriate form, whose optimality for solving weighted sum rate maximization and weighted sum power minimization problems is proven. Later by using the proposed precoder a novel BD method with significantly lower complexity is presented. The complexity analysis shows that our proposal is computationally more efficient than SVD-BD. |
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| AbstractList | Generalized Zero Forcing (GZF) is an extension of the zero forcing beamforming method to deal with downlink multiuser MIMO communications when users have more than one receive antenna. In literature, Singular Value Decomposition (SVD) based channel Block Diagonalization (BD) is proposed to eliminate multiuser interference for GZF, but it is computationally inefficient. In this letter, we propose to generate a GZF precoder by using the product of a channel pseudo inverse matrix and a block diagonal matrix with an appropriate form, whose optimality for solving weighted sum rate maximization and weighted sum power minimization problems is proven. Later by using the proposed precoder a novel BD method with significantly lower complexity is presented. The complexity analysis shows that our proposal is computationally more efficient than SVD-BD. |
| Author | Latva-aho, M Wei Li |
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| Cites_doi | 10.1109/TIT.2006.883550 10.1109/ICC.2003.1204029 10.1109/TWC.2003.821148 10.1109/TCOMM.2004.829570 10.1109/TSP.2006.879269 10.1109/VETECF.2008.370 10.1109/VETECF.2003.1285240 10.1109/ISIT.2006.261998 10.1049/el:20021125 10.1109/ACSSC.2002.1197006 10.1109/TSP.2003.821107 10.1109/JSAC.2007.070920 |
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| Keywords | MIMO system Multiple access Diagonalization Noise reduction Downlink Power sum precoding MIMO broadcasting generalized zero forcing Beam forming Interference suppression Inverse matrix Coding Diagonal matrix Signal processing Broadcasting Pretreatment Receiving antenna channel block diagonalization Singular value decomposition |
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| SubjectTerms | Antennas Applied sciences Base stations Broadcasting. Videocommunications. Audiovisual channel block diagonalization Complexity theory Detection, estimation, filtering, equalization, prediction Exact sciences and technology generalized zero forcing Information, signal and communications theory Matrix decomposition MIMO MIMO broadcasting Miscellaneous Optimization precoding Radiocommunications Receiving antennas Signal and communications theory Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Transmitting antennas |
| Title | An Efficient Channel Block Diagonalization Method for Generalized Zero Forcing Assisted MIMO Broadcasting Systems |
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