Throughput scaling of wideband sensory relay networks: Cooperative relaying, power allocation and achievable rates

Wang Bo, Junshan Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We study the throughput scaling of large-scale wideband sensory relay networks. Specifically, we consider a relay network model that consists of one source-destination pair and n relay nodes, where each relay node is power-constrained and the communication bandwidth is large. Assuming a relay traffic pattern, we investigate cooperative relaying across relay nodes, each using amplify-and-forward with channel estimation. We examine the scaling behavior of the corresponding achievable rates for the source-destination pair, in the asymptotic regime in terms of bandwidth W, the channel coherence interval L and the number of relay nodes n. Since energy efficiency is of paramount importance in sensor networks, we study two power allocation policies at relay nodes, namely a simple equal power allocation policy and the optimal power allocation policy. Our results indicate that these two strategies lead to the same throughput scaling, and the scaling law can be achieved by the equal power allocation policy under the same scaling-law-achieving conditions as by the optimal power allocation policy. We also investigate opportunistic relaying and threshold-based relaying and the corresponding achievable rates.

Original languageEnglish (US)
Title of host publicationProceedings - INFOCOM 2006
Subtitle of host publication25th IEEE International Conference on Computer Communications
DOIs
StatePublished - 2006
EventINFOCOM 2006: 25th IEEE International Conference on Computer Communications - Barcelona, Spain
Duration: Apr 23 2006Apr 29 2006

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

OtherINFOCOM 2006: 25th IEEE International Conference on Computer Communications
Country/TerritorySpain
CityBarcelona
Period4/23/064/29/06

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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