Title :
Substream selection in wireless MIMO systems for complexity reduction
Author :
Jiang, Yingtao ; Yang, Mei ; Wu, Xiaolong ; Zhang, Min
Author_Institution :
Dept. of Electr. & Comput. Eng., Nevada Univ., Las Vegas, NV, USA
Abstract :
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.
Keywords :
MIMO systems; antenna arrays; channel capacity; communication complexity; genetic algorithms; mobile communication; transfer function matrices; MIMO channels; NP-hard combinatorial problem; block diagonal permutation technique; channel capacity; channel transfer function matrix; computation complexity reduction; dimension reduction; generic algorithm based procedure; matrix permutation; real time MIMO receiver design; substream selection; weakly coupled submatrices; wireless MIMO systems; Antenna arrays; Degradation; MIMO; Matrix decomposition; Rayleigh scattering; Receiving antennas; Signal processing algorithms; Transfer functions; Transmitters; Transmitting antennas; GA; MIMO; complexity reduction; dimension reduction; matrix permutation; substreams;
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
DOI :
10.1109/ITCC.2005.265