Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ITCC.2005.265 | ITCC (2) |
Keywords | Field | DocType |
wireless mimo systems,complexity reduction,channel capacity,massive computation requirement,computation complexity,dominant block diagonal permutation,proper permutation,real time mimo receiver,substream selection,large channel transfer function,overall mimo receiver,mimo channel,implementation complexity,matrix decomposition,communication complexity,genetic algorithms,mobile communication,generic algorithm,dimension reduction,rayleigh scattering,transfer function,computational complexity,transfer functions,degradation,real time,transmitters,mimo | Mathematical optimization,Multi-user MIMO,3G MIMO,Wireless,Computer science,MIMO,Communication complexity,Reduction (complexity),Computer engineering,Channel capacity,Block matrix | Conference |
ISBN | Citations | PageRank |
0-7695-2315-3 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingtao Jiang | 1 | 492 | 60.58 |
| Mei Yang | 2 | 81 | 8.07 |
| Xiaolong Wu | 3 | 128 | 18.86 |
| Min Zhang | 4 | 0 | 0.34 |