Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs
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 computatio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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2012-02.
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| Online Access: | Get fulltext |
| LEADER | 01191 am a22001453u 4500 | ||
|---|---|---|---|
| 001 | 273194 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Yao, Wang |e author |
| 700 | 1 | 0 | |a Chen, Sheng |e author |
| 700 | 1 | 0 | |a Hanzo, Lajos |e author |
| 245 | 0 | 0 | |a Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs |
| 260 | |c 2012-02. | ||
| 856 | |z Get fulltext |u https://eprints.soton.ac.uk/273194/1/09CTN02-2021.pdf | ||
| 520 | |a 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. | ||
| 655 | 7 | |a Article | |