Higgins, Matthew D., Green, Roger, Leeson, Mark S. and Hines, Evor (2011) Multi-user indoor optical wireless communication system channel control using a genetic algorithm. IET Communications, Vol.5 (No.7). pp. 937-944. doi:10.1049/iet-com.2010.0204 ISSN 1751-8628.

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Abstract

A genetic algorithm controlled multispot transmitter is demonstrated that is capable of optimising the received power distribution for randomly aligned single element receivers in multiple fully diffuse optical wireless communications systems with multiple mobile users. Using a genetic algorithm to control the intensity of individual diffusion spots, system deployment environment changes, user movement and user alignment can be compensating for, with negligible impact on the bandwidth and root mean square delay spread. It is shown that the dynamic range, referenced against the peak received power, can be reduced up to 27% for empty environments and up to 26% when the users are moving. Furthermore, the effect of user movement, that can perturb the channel up to 8%, can be reduced to within 5% of the optimised case. Compared to alternative bespoke designs that are capable of mitigating optical wireless channel drawbacks, this method provides the possibility of cost-effectiveness for mass-produced receivers in applications where end-user friendliness and mobility are paramount.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	Genetic algorithms, Optical communications, Wireless LANs
Journal or Publication Title:	IET Communications
Publisher:	The Institution of Engineering and Technology
ISSN:	1751-8628
Official Date:	4 May 2011
Dates:	Date Event 4 May 2011 Published
Volume:	Vol.5
Number:	No.7
Number of Pages:	8
Page Range:	pp. 937-944
DOI:	10.1049/iet-com.2010.0204
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	17 December 2015
Date of first compliant Open Access:	17 December 2015

Data sourced from Thomson Reuters' Web of Knowledge

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