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An optimum combiner for a smart antenna in an indoor infrastructure wireless local area network

An optimum combiner for a smart antenna in an indoor infrastructure wireless local area network

Nasr, K. M. ORCID: 0000-0002-8604-6274, Costen, F. and Barton, S.K. (2004) An optimum combiner for a smart antenna in an indoor infrastructure wireless local area network. In: 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484). IEEE, 193-197 Vol.1. ISBN 0780379543 ISSN 1090-3038 (doi:https://doi.org/10.1109/VETECF.2003.1285005)

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Abstract

The paper investigates the effect of the variation of the thermal noise level on the performance of an optimum combiner in an arbitrary indoor environment taking into account the multipath characteristics of the radio channel. An indoor infrastructure WLAN scenario with four users communicating with an access point is modeled using a deterministic 2D ray-tracing tool. A smart antenna optimum combiner is then developed for the case when the number of elements of a uniform linear antenna array is equal to the number of users, targeting capacity increase through space division multiple access (SDMA). The effect of the variation of thermal noise level (or SNR per antenna element) on the optimum combiner patterns as well on the obtained signal-to-interference-plus-noise ratio (SINR) values is investigated and compared for the multipath case as well as for the line of sight (LOS) only case.

Item Type: Conference Proceedings
Title of Proceedings: 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484)
Uncontrolled Keywords: intelligent networks, wireless LAN, signal to noise ratio, noise level, indoor environments, ray tracing, interference, linear antenna arrays, multiaccess communication, bandwidth
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 02 Oct 2019 12:37
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25345

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