Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs
Yao, Wang, Chen, Sheng and Hanzo, Lajos (2012) Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs. Journal of Computational and Theoretical Nanoscience, A Special Issue on A New Frontier of Cognitive Informatics and Cognitive Computing, 9, (2), 266-275.
- Published Version
Bio-inspired computational methods have found wide-ranging applications in signal processing and other walks of engineering. The main attraction of adopting bio-inspired computational intelligence algorithms is that they may facilitate global or near global optimal designs with affordable computational costs. In this contribution, particle swarm optimisation (PSO) is invoked for designing optimal multiuser transmission (MUT) schemes for multiple-input multiple-output communication. Specifically, we consider the minimum bit-error-rate (MBER) linear MUT using PSO and we design a PSO aided MBER generalised vector precoding for nonlinear MUT. These PSO aided MUT techniques compare favourably with the state-of-the-art conventional schemes, in terms of performance and complexity.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||05 Feb 2012 19:04|
|Last Modified:||25 Aug 2012 23:41|
|Contributors:||Yao, Wang (Author)
Chen, Sheng (Author)
Hanzo, Lajos (Author)
|Publisher:||American Scientific Publishers|
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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