Particle swarm optimisation aided minimum bit error rate multiuser transmission

Authors:
W. Yao;S. Chen;S. Tan;L. Hanzo
Affiliations:
School of ECS, University of Southampton, United Kingdom;School of ECS, University of Southampton, United Kingdom;School of ECS, University of Southampton, United Kingdom;School of ECS, University of Southampton, United Kingdom
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 6
Cited 1

Elements of information theory

Elements of information theory
Swarm intelligence

Swarm intelligence
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting

OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
Adaptive Minimum Symbol Error Rate Beamforming Assisted Detection for Quadrature Amplitude Modulation

IEEE Transactions on Wireless Communications
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients

IEEE Transactions on Evolutionary Computation
PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Robust blind multiuser detection based on PSO algorithm in the mismatch environment of receiver spreading codes

Computers and Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the downlink of multiuser system from a transmitter equipped with multiple antennas to multiple non-cooperative single-antenna mobile receivers. Particle swarm optimisation (PSO) algorithm is invoked to solve the constrained nonlinear optimisation problem for the minimum bit error rate (MBER) multiuser transmission (MUT). The proposed PSO aided MBER-MUT scheme provides much better performance over the conventional minimum mean-square-error MUT scheme, and it achieves a much lower complexity compared to the state-of-the-art sequential quadratic programming based MBER MUT.