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Efficient OOK/DS-CDMA Detection Threshold Selection
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9810-3478
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9368-3079
2013 (English)In: 2013 American Control Conference (ACC), American Automatic Control Council , 2013, 3523-3528 p.Conference paper, Published paper (Refereed)
Abstract [en]

A major constraint in deployments of wireless sensor networks (WSNs) is the energy consumption related to the battery lifetime of the network nodes. To this end, power efficient digital modulation techniques such as On-Off keying (OOK) are highly attractive. However, the OOK detection thresholds, namely the thresholds against which the received signals are compared to detect which bit is transmitted, must be carefully selected to minimize the bit error rate. This is challenging to accomplish in resource-limited nodes with constrained computational capabilities. In this paper, the system scenario considers simultaneously transmitting nodes in Rayleigh fading conditions. Various iterative algorithms to numerically select the detection thresholds are established. Convergence analysis accompanies these algorithms. Numerical simulations are provided to support the derived results and to compare the proposed algorithms. It is concluded that OOK modulation is beneficial in resource constrained WSNs provided that efficient optimization algorithms are employed for the threshold selection.

Place, publisher, year, edition, pages
American Automatic Control Council , 2013. 3523-3528 p.
Series
Proceedings of the American Control Conference, ISSN 0743-1619
Keyword [en]
Computational capability, Convergence analysis, Detection threshold, Digital modulation techniques, Iterative algorithm, Optimization algorithms, Threshold selection, Wireless sensor network (WSNs)
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-133386ISI: 000327210203115Scopus ID: 2-s2.0-84883506067ISBN: 978-147990177-7 (print)OAI: oai:DiVA.org:kth-133386DiVA: diva2:662016
Conference
2013 1st American Control Conference, ACC 2013; Washington, DC; United States; 17 June 2013 through 19 June 2013
Note

QC 20131105

Available from: 2013-11-05 Created: 2013-10-31 Last updated: 2014-01-07Bibliographically approved

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Fischione, CarloHjalmarsson, Håkan

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