Spectral efficiency analysis of distributed antenna system for in-building wireless communication

Alade, Temitope, Zhu, Huiling and Osman, Hassan (2011) Spectral efficiency analysis of distributed antenna system for in-building wireless communication. In: 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC . UNSPECIFIED, CAN, pp. 2075-2079. ISBN 9781457713484

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Abstract

Indoor mobile communication systems are expected to provide significantly higher data rates and coverage than that offered by the conventional microcell system. However, the system performance is impaired by co-channel interference due to the need to reuse the limited available spectrum. To mitigate the effect of co-channel interference in this environment, distributed antenna systems (DASs) can be used to reduces the overall transmit power (and hence co-channel interference) by shortening the radio transmission distance between the transmitter and the receiver. In this paper, the impacts of DAS on uplink transmission in high-rise buildings is investigated, where remote antenna units (RAUs) are deployed on each floor throughout the building and connected to a central unit (CU) where received signals are processed. The performance of the system is analysed using a propagation channel model derived from multi-floor in-building path loss values retrieved from measurement data. For different system parameters, the average spectral efficiency is computed for a given maximum required BER, and parameters which yield the maximum spectral efficiency are identified. Numerical results obtained suggest that the proposed scheme can facilitate better use of the available radio spectrum, and provide higher data rates for indoor MTs.

Item Type:	Book Section
Uncontrolled Keywords:	co-channel interference,distributed antenna system (das),multi-floor in-building propagation,spectral efficiency,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/2200/2208
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	22 Nov 2023 03:48
Last Modified:	10 Dec 2024 01:13
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93688
DOI:	10.1109/PIMRC.2011.6139879

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