DocumentCode :
26760
Title :
Hybrid 1-opt Local Search Polynomial-Expanded Linear Multiuser Detectors
Author :
Gotz, Reinaldo ; Abrao, Taufik
Author_Institution :
Univ. Estadual de Londrina, Londrina, Brazil
Volume :
11
Issue :
5
fYear :
2013
fDate :
Sept. 2013
Firstpage :
1169
Lastpage :
1175
Abstract :
This work proposes hybrid multiuser detector based on Polynomial Expansion (PE-MuD) as a way to reduce computational complexity inherent to correlation matrix inversion, followed by the low complexity Local Search (LS) procedure, aiming to obtain a near-optimum multiuser Bit-Error-Rate (BER) performance, however with reduced computational complexity. The proposed hybrid PE-LS-MuD receiver topology is analyzed under realistic wireless mobile channels, as well as useful system operation scenarios. Simulation results indicate a suitable improvement in the performance-complexity trade-off regarding the classical linear multiuser detectors, particularly the MMSE.
Keywords :
computational complexity; correlation methods; error statistics; least mean squares methods; matrix inversion; mobile radio; multiuser detection; polynomials; radio receivers; search problems; telecommunication network topology; wireless channels; BER performance; LS procedure; MMSE; computational complexity; correlation matrix inversion; hybrid PE-LS-MuD receiver topology analysis; hybrid local search polynomial-expanded linear multiuser detector; low complexity local search procedure; near-optimum multiuser bit-error-rate performance; performance-complexity trade-off improvement; realistic wireless mobile channel; Binary phase shift keying; Computational complexity; Detectors; Irrigation; Multiaccess communication; Polynomials; Signal to noise ratio; DS-CDMA; Gershgorin cycles; Suboptimum search algorithms; polynomial expanded multiuser detection;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2013.6684391
Filename :
6684391
Link To Document :
بازگشت