Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs
نویسندگان
چکیده
منابع مشابه
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 computational costs. In this contribution, particle swarm optimisation (PSO) is invoked for designing optim...
متن کاملParticle Swarm Optimisation Aided Multiuser Transmission Schemes for MIMO Communication
Bio-inspired computational methods have found wide-ranging applications in signal processing and other walks of engineering. 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...
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Multiple-input multiple-output (MIMO) technologies are capable of substantially improving the achievable system’s capacity, coverage and/or quality of service. The system’s ability to approach the MIMO capacity depends heavily on the designs of MIMO receiver and/or transmitter, which are generally expensive optimisation tasks. Hence, researchers and engineers have endeavoured to develop efficie...
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Using a geometric framework for the interpretation of crossover of recent introduction, we show an intimate connection between particle swarm optimization (PSO) and evolutionary algorithms. This connection enables us to generalize PSO to virtually any solution representation in a natural and straightforward way. We demonstrate this for the cases of Euclidean, Manhattan and Hamming spaces.
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Conventional particle swarm optimisation relies on exchanging information through social interaction among individuals. However for real-world problems involving control of physical agents (i.e., robot control), such detailed social interaction is not always possible. In this study, we propose the Perceptive Particle Swarm Optimisation algorithm, in which both social interaction and environment...
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ژورنال
عنوان ژورنال: Journal of Computational and Theoretical Nanoscience
سال: 2012
ISSN: 1546-1955,1546-1963
DOI: 10.1166/jctn.2012.2021