Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization

Block diagonalization (BD) is a precoding technique that eliminates interuser interference in downlink multiuser multiple-input multiple-output (MIMO) systems. With the assumptions that all users have the same number of receive antennas and utilize all receive antennas when scheduled for transmissio...

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Veröffentlicht in:IEEE transactions on signal processing Jg. 54; H. 9; S. 3658 - 3663
Hauptverfasser: Zukang Shen, Runhua Chen, Andrews, J.G., Heath, R.W., Evans, B.L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.09.2006
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Antennas
Applied sciences
Base stations
Blocking
Broadcasting
Channel capacity
Channels
Complexity
Covariance matrix
Detection, estimation, filtering, equalization, prediction
Downlink
Energy use
Exact sciences and technology
Frobenius norm
Information, signal and communications theory
MIMO
Miscellaneous
multiple-input multiple-output (MIMO)
multiuser
Null space
Optimization
Receiving antennas
Signal and communications theory
Signal processing
Signal, noise
Stations
Studies
sum capacity
Telecommunications and information theory
Throughput
Transmitting antennas
MIMO system
Multiple access
Diagonalization
Noise reduction
Base station
Frobenius norm
Information rate
Downlink
Scheduling
Information transmission
Search algorithm
Interference suppression
Simulation
sum capacity
Transmitting antenna
Algorithm complexity
Linear complexity
Signal processing
multiuser
multiple-input multiple- output (MIMO)
Receiving antenna
Large scale system
ISSN:1053-587X, 1941-0476
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Zusammenfassung:Block diagonalization (BD) is a precoding technique that eliminates interuser interference in downlink multiuser multiple-input multiple-output (MIMO) systems. With the assumptions that all users have the same number of receive antennas and utilize all receive antennas when scheduled for transmission, the number of simultaneously supportable users with BD is limited by the ratio of the number of base station transmit antennas to the number of user receive antennas. In a downlink MIMO system with a large number of users, the base station may select a subset of users to serve in order to maximize the total throughput. The brute-force search for the optimal user set, however, is computationally prohibitive. We propose two low-complexity suboptimal user selection algorithms for multiuser MIMO systems with BD. Both algorithms aim to select a subset of users such that the total throughput is nearly maximized. The first user selection algorithm greedily maximizes the total throughput, whereas the criterion of the second algorithm is based on the channel energy. We show that both algorithms have linear complexity in the total number of users and achieve around 95% of the total throughput of the complete search method in simulations
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2006.879269