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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Veröffentlicht in:IEEE transactions on wireless communications Jg. 10; H. 3; S. 739 - 744
Hauptverfasser: Li, Wei, Latva-aho, Matti
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.2011
Institute of Electrical and Electronics Engineers
Schlagworte:
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
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
ISSN:1536-1276
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Beschreibung
Zusammenfassung: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.
ISSN:1536-1276
DOI:10.1109/TWC.2010.120310.100567