Spectrum-efficient multi-channel design for coexisting IEEE 802.15.4 networks: A stochastic geometry approach

Handle URI:
http://hdl.handle.net/10754/563617
Title:
Spectrum-efficient multi-channel design for coexisting IEEE 802.15.4 networks: A stochastic geometry approach
Authors:
Elsawy, Hesham ( 0000-0003-4201-6126 ) ; Hossain, Ekram; Camorlinga, Sergio
Abstract:
For networks with random topologies (e.g., wireless ad-hoc and sensor networks) and dynamically varying channel gains, choosing the long term operating parameters that optimize the network performance metrics is very challenging. In this paper, we use stochastic geometry analysis to develop a novel framework to design spectrum-efficient multi-channel random wireless networks based on the IEEE 802.15.4 standard. The proposed framework maximizes both spatial and time domain frequency utilization under channel gain uncertainties to minimize the number of frequency channels required to accommodate a certain population of coexisting IEEE 802.15.4 networks. The performance metrics are the outage probability and the self admission failure probability. We relax the single channel assumption that has been used traditionally in the stochastic geometry analysis. We show that the intensity of the admitted networks does not increase linearly with the number of channels and the rate of increase of the intensity of the admitted networks decreases with the number of channels. By using graph theory, we obtain the minimum required number of channels to accommodate a certain intensity of coexisting networks under a self admission failure probability constraint. To this end, we design a superframe structure for the coexisting IEEE 802.15.4 networks and a method for time-domain interference alignment. © 2002-2012 IEEE.
KAUST Department:
Electrical Engineering Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Mobile Computing
Issue Date:
Jul-2014
DOI:
10.1109/TMC.2013.123
Type:
Article
ISSN:
15361233
Sponsors:
This work was supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Industrial Postgraduate Scholarships (IPS) Program and the Discovery Grants (DG) Program, and in part by a scholarship from TRTech, Winnipeg, Manitoba, Canada. The work was done during H. ElSawy's Ph.D. studies at the University of Manitoba, Canada.
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorElsawy, Heshamen
dc.contributor.authorHossain, Ekramen
dc.contributor.authorCamorlinga, Sergioen
dc.date.accessioned2015-08-03T12:04:28Zen
dc.date.available2015-08-03T12:04:28Zen
dc.date.issued2014-07en
dc.identifier.issn15361233en
dc.identifier.doi10.1109/TMC.2013.123en
dc.identifier.urihttp://hdl.handle.net/10754/563617en
dc.description.abstractFor networks with random topologies (e.g., wireless ad-hoc and sensor networks) and dynamically varying channel gains, choosing the long term operating parameters that optimize the network performance metrics is very challenging. In this paper, we use stochastic geometry analysis to develop a novel framework to design spectrum-efficient multi-channel random wireless networks based on the IEEE 802.15.4 standard. The proposed framework maximizes both spatial and time domain frequency utilization under channel gain uncertainties to minimize the number of frequency channels required to accommodate a certain population of coexisting IEEE 802.15.4 networks. The performance metrics are the outage probability and the self admission failure probability. We relax the single channel assumption that has been used traditionally in the stochastic geometry analysis. We show that the intensity of the admitted networks does not increase linearly with the number of channels and the rate of increase of the intensity of the admitted networks decreases with the number of channels. By using graph theory, we obtain the minimum required number of channels to accommodate a certain intensity of coexisting networks under a self admission failure probability constraint. To this end, we design a superframe structure for the coexisting IEEE 802.15.4 networks and a method for time-domain interference alignment. © 2002-2012 IEEE.en
dc.description.sponsorshipThis work was supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the Industrial Postgraduate Scholarships (IPS) Program and the Discovery Grants (DG) Program, and in part by a scholarship from TRTech, Winnipeg, Manitoba, Canada. The work was done during H. ElSawy's Ph.D. studies at the University of Manitoba, Canada.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcarrier-sense multiple access (CSMA)en
dc.subjectDistributed wireless networksen
dc.subjecthard core point process (HCPP)en
dc.subjectIEEE 802.15.4en
dc.subjectoutage probabilityen
dc.subjectpoint processen
dc.subjectself-admission failureen
dc.subjectstochastic geometryen
dc.subjecttime-domain interference alignmenten
dc.titleSpectrum-efficient multi-channel design for coexisting IEEE 802.15.4 networks: A stochastic geometry approachen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Mobile Computingen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canadaen
dc.contributor.institutionUniversity of Winnipeg, Winnipeg, MB, R3B 2E9, Canadaen
kaust.authorElsawy, Heshamen
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