On the relay selection for cooperative wireless networks with physical-layer network coding

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

11 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)653-665
Journal / PublicationWireless Networks
Volume18
Issue number6
Online published13 Mar 2012
Publication statusPublished - Aug 2012

Abstract

In this paper, we investigate a large cooperative wireless network with relay nodes, in which cooperation is enabled through physical-layer network coding (PLNC). Specifically, we study the impact of the relay selection on the network capacity with power constraints in two scenarios. First, we consider the basic PLNC model (a.k.a., the ARB model), in which one pair of source nodes (A, B) exchange messages via a selected relay node (R). Given the power constraint, we derive the optimal relay selection and power allocation that maximize the sum capacity, defined as the summation of the capacity for two source-destination channels. Based on results obtained above, we then consider a more general scenario with multiple pairs of source nodes. Assuming the constant power constraint, we derive the upper bound of the minimal sum capacity of any source pair. The optimal power allocation among multiple source pairs is also derived. To validate these theoretical results, we also provide two relay selection strategies: a modified optimal relay assignment strategy and a novel middle point strategy for maximizing the minimal sum capacity of any source pair. © Springer Science+Business Media, LLC 2012.

Research Area(s)

  • Physical-layer network coding, Power constraints, Relay selection, Sum capacity, The ARB model

Citation Format(s)

On the relay selection for cooperative wireless networks with physical-layer network coding. / Zheng, Zeyu; Fu, Shengli; Lu, Kejie et al.
In: Wireless Networks, Vol. 18, No. 6, 08.2012, p. 653-665.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review