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Novel channel description method for decentralized wireless relay networks

Novel channel description method for decentralized wireless relay networks

Chen, Yifan and Rapajic, P. (2009) Novel channel description method for decentralized wireless relay networks. In: Microwave Conference 2009. Institute of Electrical and Electronic Engineers, Inc, Piscataway, NJ, USA, pp. 2164-2167. ISBN 978-1-4244-2802-1 (e-ISBN), 978-1-4244-2801-4 (print) (doi:

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We present a novel channel model for a two-hop decentralized wireless relay network (DWRN), where the relays operate in a completely distributive fashion. The model is based on an analogous approach to the conventional description methods for wideband directional multipath channels. Specifically, the notion of information azimuth-delay spectrum (IADS) is devised. This definition, parallel to the widely-used power azimuth-delay spectrum (PADS) for physical multipath channels, represents a compact description of virtual DWRN channels. The proposed approach is also applied to a circular random network (CRN) with uniformly-distributed relay nodes. Finally, numerical examples are used to demonstrate the usefulness of the suggested channel description method.

Item Type: Conference Proceedings
Title of Proceedings: Microwave Conference 2009
Additional Information: Conference proceedings from Microwave Conference, 2009. APMC which took place in Singapore, Asia Pacific between 7-10 Dec. 2009
Uncontrolled Keywords: novel channel model, two-hop decentralized wireless relay network (DWRN), wideband directional multipath channels, information azimuth-delay spectrum (IADS), power azimuth-delay spectrum (PADS), circular random network (CRN)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Computer & Communications Engineering
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Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
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Selected for GREAT 2019: None
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