Modified Block Diagonalization Precoding in Multicell Cooperative Networks

In downlink multiuser multiple-input-multiple-output (MIMO) systems, block diagonalization (BD) is a practical linear precoding scheme that completely eliminates interuser interference. However, its sum rate performance is rather poor in practical signal-to-noise ratio (SNR) regions due to the trans...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 61; H. 8; S. 3819 - 3824
Hauptverfasser: Yong Zeng, Gunawan, E., Yong Liang Guan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.10.2012
Institute of Electrical and Electronics Engineers
Schlagworte:
Applied sciences
Approximation methods
Block diagonalization
Coding, codes
convex optimization
Covariance matrix
Detection, estimation, filtering, equalization, prediction
Downlink
Equipments and installations
Exact sciences and technology
Information, signal and communications theory
Interference
interference management
MIMO
Mobile radiocommunication systems
precoding
Radiocommunications
Signal and communications theory
Signal to noise ratio
Signal, noise
sum-rate maximization
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Performance evaluation
Diagonalization
Block diagonalization
Noise reduction
Wireless telecommunication
Optimization method
Downlink
Cell network
precoding
Convex programming
Mean square error
Covariance
Coding
Pretreatment
Mobile radiocommunication
MIMO system
Multiple access
Cooperative systems
Interference suppression
sum-rate maximization
Algorithm performance
Signal processing
System simulation
convex optimization
interference management
Gain
Signal to noise ratio
ISSN:0018-9545, 1939-9359
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Zusammenfassung:In downlink multiuser multiple-input-multiple-output (MIMO) systems, block diagonalization (BD) is a practical linear precoding scheme that completely eliminates interuser interference. However, its sum rate performance is rather poor in practical signal-to-noise ratio (SNR) regions due to the transmit power boost problem. In this paper, we propose a modified BD precoding scheme to improve its low-to-medium SNR performance with the so-called "effective SNR enhancement" technique. The proposed transmit covariance matrices are obtained by first solving a power minimization problem subject to the minimum rate constraint achieved by BD and then properly scaling the solution until the power constraint is active. The power minimization problem is nonconvex in general. We therefore propose an efficient algorithm that approximately solves the problem. Simulation results demonstrate significant sum rate gains over BD and existing minimum mean square error (MMSE)-based precoding schemes.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2012.2209211