Title :
Stopping criterion for complexity reduction of sphere decoding
Author :
Ma, Zheng ; Honary, Bahram ; Fan, Pingzhi ; Larsson, Erik G.
Author_Institution :
Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu
fDate :
6/1/2009 12:00:00 AM
Abstract :
Maximum-likelihood detection in MIMO communications amounts to solving a least-squares problem with a constellation (alphabet) constraint. One popular method that can be used to solve this problem is sphere decoding. We show in this letter that by employing a simple stopping criterion, it is possible to significantly reduce the complexity of sphere decoding over a wide range of SNRs, without a noticeable performance degradation. Specifically, simulation results demonstrate that a 10%-90% reduction of the average complexity could be achieved.
Keywords :
MIMO communication; least squares approximations; maximum likelihood decoding; maximum likelihood detection; MIMO communications; complexity reduction; least squares problem; maximum likelihood detection; performance degradation; sphere decoding; stopping criterion; Degradation; Detection algorithms; Detectors; Iterative algorithms; Iterative decoding; Lattices; MIMO; Mobile communication; Silicon carbide; Wireless communication; Lattice reduction, MIMO, sphere decoding;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.090112