TAILIEUCHUNG - Báo cáo hóa học: "Research Article Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 465632 13 pages doi 2010 465632 Research Article Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks Shahin Gheitanchi Falah Ali and Elias Stipidis School of Engineering Design University of Sussex Falmer Brighton BN1 9QT UK Correspondence should be addressed to Falah Ali Received 13 January 2010 Revised 25 May 2010 Accepted 6 July 2010 Academic Editor Hyunggon Park Copyright 2010 Shahin Gheitanchi et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A generalized model of particle swarm optimization PSO technique is proposed as a low complexity method for adaptive centralized and distributed resource allocation in communication networks. The proposed model is applied to adaptive multicarrier cooperative communications MCCC technique which utilizes the subcarriers in deep fade using a relay node in order to improve the bandwidth efficiency. Centralized PSO based on virtual particles VPs is introduced for single layer and cross-layer subcarrier allocation to improve the bit error rate performance in multipath frequency selective fading channels. In the single layer strategy the subcarriers are allocated based on the channel gains. In the cross-layer strategy the subcarriers are allocated based on a joint measure of channel gains and distance provided by the physical layer and network layer to mitigate the effect of path loss. The concept of training particles in distributed PSO is proposed and then is applied for relay node selection. The computational complexity and traffic of the proposed techniques are investigated and it is shown that using PSO for subcarrier allocation has a lower complexity than the techniques in the .

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