Differential Evolution Algorithm Aided Minimum Symbol Error Rate Multi-User Detection for Multi-User OFDM/SDMA Systems

2013

Int J Communication

SUMMARY Space division multiple access–orthogonal frequency division multiplexing system has become a potential wireless communication system by offering high spectral efficiency, performance and capacity. This article deals with minimum symbol error rate (MSER)‐based multiuser detection (MUD) technique for the space division multiple access–orthogonal frequency division multiplexing system using an efficient invasive weed optimization (IWO) algorithm. The IWO algorithm is used for finding optimal weights such that the probability of error is directly minimized rather than minimizing the mean square error. Because of this, the MSER MUD is able to detect users even in overload scenario, where the number of users is more than the number of receiving antennas, unlike several classical detection techniques. The IWO is inspired from the nature of invasive colonization of weeds and relatively simple compared with other optimization techniques. The bit error rate performance of the proposed IWO‐aided MSER MUD is found to be better than minimum means square error and differential evolution algorithm‐aided MSER MUDs. Simulation results show that the proposed IWO MSER achieves faster convergence and lower complexity compared with the differential evolution MSER MUD. Copyright © 2013 John Wiley & Sons, Ltd.

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“…The MSER MUD is basically developed for square type QAM . Let the symbols of M − QAM assumed as

S ≅ \{s_{m, n} |s_{m, n} = z_{m} + j z_{n}, 1 \leq m, n \leq \sqrt{M}\}

where

R \{s_{m, n}\} = z_{m} = 2 m - \sqrt{M} - 1

and

I \{s_{m, n}\} = z_{n} = 2 n - \sqrt{M} - 1

.…”

Section: Existing Multiuser Detection Techniquesmentioning

confidence: 99%

“…This solution can be obtained by updating weight vector w l employing the differential evolution algorithm . Similarly, the weight vector for all other users can be evaluated iteratively.…”

Section: Existing Multiuser Detection Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Minimum symbol error rate multiuser detection using an effective invasive weed optimization for MIMO/SDMA–OFDM system

2013

Int J Communication

show abstract

“…This solution can be obtained by updating weight vector w l employing the differential evolution algorithm (DEA) [18,19]. Similarly, the weight vector for all other users can be evaluated iteratively.…”

Section: Mser Multiuser Detectionmentioning

confidence: 99%

“…The optimisation techniques assisted ML MUDs [15][16][17] can be a better alternative by supporting higher order signals, but results in high complexity in block-fading channels. Therefore Zhang et al [18,19] proposed another minimum error rate detection technique depending on minimum symbol error rate (MSER) for detecting signals with quadrature amplitude modulation (QAM).…”

Section: Introductionmentioning

confidence: 99%

Efficient complex radial basis function model for multiuser detection in a space division multiple access/multiple‐input multiple‐output–orthogonal frequency division multiplexing system

2013

IET Communications

Multiuser Detection in SDMA–OFDM Wireless Communication System Using Complex Multilayer Perceptron Neural Network

2013

Wireless Pers Commun