Alhartomi, M, Alsaadi, F and Elmirghani, J (2015) Collaborative Adaptive Optical Wireless System in Realistic Indoor Environment. In: 20th European Conference on Network and Optical Communications (NOC). The 20th European Conference on Network and Optical Communications (NOC), 30 Jun - 02 Jul 2015, London, UK. IEEE ISBN 978-1-4799-8798-6
Abstract
In this paper, we propose and evaluate a collaborative mobile optical wireless (OW) system that employs a collaborative adaptive beam clustering method (CABCM) in conjunction with an imaging receiver. Three cases involving two, three and five receivers are considered. A collaborative maximum ratio combining scheme is used to collaboratively distribute the transmit power among the diffusing spots. Our ultimate goal is to increase the received optical power and improve the signal-to-noise ratio (SNR) at each coexisting receiver when the system operates in a multiuser scenario under the constraints of background noise, multipath dispersion, mobility and shadowing typical in a real indoor environment. Our proposed system (collaborative adaptive beam clustering method) is evaluated at 30 Mbit/s to enable comparison with previous work, and is also assessed at higher bit rates: 2.5 Gbit/s and 5 Gbit/s. Simulation results show that the mobile CABCM system offers a significant performance improvement including a reduction in the background noise (BN) effect, a strong received power, reduction in delay spread, and improvement in the SNR over multiuser line strip multibeam system (LSMS). However, the performance degrades gradually with increase in the number of users.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. This is an author produced version of a paper accepted for publication in Networks and Optical Communications - (NOC), 2015. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | adaptive multibeam system; optical wireless; beam power adaptation; beam clustering; imaging receive |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Sep 2015 08:27 |
Last Modified: | 25 Oct 2016 13:27 |
Published Version: | http://dx.doi.org/10.1109/NOC.2015.7298077 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/NOC.2015.7298077 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88998 |