Substream selection in wireless MIMO systems for complexity reduction

Although MIMO channels offer the potential to dramatically improve the channel capacity, the incurred implementation complexity and massive computation requirements have made MIMO difficult to be integrated in today's wireless systems. In this paper, we attempt to introduce a dominant block dia...

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Bibliographic Details
Main Authors: Jiang, Y., Yang, M., Wu, X., Zhang, M.
Format: Conference Proceeding
Language:English
Subjects:
Antenna arrays
complexity reduction
Degradation
dimension reduction
Matrix decomposition
matrix permutation
MIMO
Rayleigh scattering
Receiving antennas
Signal processing algorithms
substreams
Transfer functions
Transmitters
Transmitting antennas
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Summary:Although MIMO channels offer the potential to dramatically improve the channel capacity, the incurred implementation complexity and massive computation requirements have made MIMO difficult to be integrated in today's wireless systems. In this paper, we attempt to introduce a dominant block diagonal permutation technique to reduce the dimensionality of the overall MIMO receiver. As such, we may trade small performance degradation for significantly reduced computation complexity, which may finally lead to a low power real time MIMO receiver design. In particular, a large channel transfer function matrix is decomposed into many weakly coupled submatrices by a proper permutation. Finding such a decomposition is formulated as an NP-hard combinatorial problem, and a special generic algorithm based procedure has been developed.
DOI:10.1109/ITCC.2005.265