Interference Cancellation Based Detection for V-BLAST With Diversity Maximizing Channel Partition

Multiple-input multiple-output (MIMO) systems achieve very high bandwidth efficiencies through spatial multiplexing. However, the complexity of optimal detection in such systems motivates the need for more practical alternatives. Recently, a suboptimal lower complexity detection scheme called ¿gener...

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Bibliographic Details
Published in:IEEE journal of selected topics in signal processing Vol. 3; no. 6; pp. 1000 - 1015
Main Authors: Radji, D., Leib, H.
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithm design and analysis
Algorithms
Asymptotic properties
Bandwidth
Cancellation
Channels
Codes
Complexity
Computer simulation
Decoding
Diversity methods
Gain
Interference
Interference cancellation
Interference cancellation detection
MIMO
minimum mean-squared error (MMSE) detection
multiple-input multiple-output (MIMO) detection
Optimization
Performance analysis
Performance gain
selection diversity
Sufficient conditions
ISSN:1932-4553, 1941-0484
Online Access:Get full text
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Summary:Multiple-input multiple-output (MIMO) systems achieve very high bandwidth efficiencies through spatial multiplexing. However, the complexity of optimal detection in such systems motivates the need for more practical alternatives. Recently, a suboptimal lower complexity detection scheme called ¿generalized parallel interference cancellation¿ (GPIC), with close to optimal performance, was introduced. The reported performance of GPIC, however, was assessed by computer simulations only. In this paper, we show that with its original design, GPIC does not always provide close to optimal performance. Based on a diversity analysis of GPIC like techniques, we propose two new improved algorithms, referred to as Sel-MMSE and Sel-MMSE-OSIC, and derive sufficient conditions for achieving optimal performance asymptotically. We also provide a complexity analysis of these two schemes, and show that for large constellation sizes it is lower than the original GPIC. While still more complex than the fixed complexity sphere decoder by a factor in the range of 2-3 (for most configurations), our algorithms are also applicable to undetermined MIMO systems. Simulations results confirm that the new schemes provide maximal diversity gains. Furthermore, Sel-MMSE-OSIC provides a significant gain over Sel-MMSE, making its performance nearly indistinguishable from optimal for all signal-to-noise ratio (SNR) levels.
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ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2009.2035860