Chen, Y., Hu, L., Yuen, C., Zhang, Y., Zhang, Z. and Rapajic, P. (2009) Intrinsic measure of diversity gains in generalised distributed antenna systems with cooperative users. IET Communications, 3 (2). pp. 209-222. ISSN 1751-8628 (Print), 1751-8636 (Online) (doi:10.1049/iet-com:20080064)

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Abstract

The diversity gains achievable in the generalised distributed antenna system with cooperative users (GDAS-CU) are considered. A GDAS-CU is comprised of M largely separated access points (APs) at one side of the link, and N geographically closed user terminals (UTs) at the other side. The UTs are collaborating together to enhance the system performance, where an idealised message sharing among the UTs is assumed. First, geometry-based network models are proposed to describe the topology of a GDAS-CU. The mean cross-correlation coefficients of signals received from non-collocated APs and UTs are calculated based on the network topology and the correlation models derived from the empirical data. The analysis is also extendable to more general scenarios where the APs are placed in a clustered form due to the constraints of street layout or building structure. Subsequently, a generalised signal attenuation model derived from several stochastic ray-tracing-based pathloss models is applied to describe the power-decaying pattern in urban built-up areas, where the GDAS-CU may be deployed. Armed with the cross-correlation and pathloss model preliminaries, an intrinsic measure of cooperative diversity obtainable from a GDAS-CU is then derived, which is the number of independent fading channels that can be averaged over to detect symbols. The proposed analytical framework would provide critical insight into the degree of possible performance improvement when combining multiple copies of the received signal in such systems.

Item Type:	Article
Uncontrolled Keywords:	diversity gains, generalised distributed antenna systems, cooperative users, access points, user terminals, network topology, stochastic ray-tracing, power-decaying pattern
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science
Related URLs:	Publisher Organisation
Last Modified:	27 Jan 2020 11:59
URI:	http://gala.gre.ac.uk/id/eprint/1605

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