Show simple item record

dc.contributor.authorPinto, Pedro C.
dc.contributor.authorGiorgetti, Andrea
dc.contributor.authorWin, Moe Z.
dc.contributor.authorChiani, Marco
dc.date.accessioned2011-11-10T16:01:29Z
dc.date.available2011-11-10T16:01:29Z
dc.date.issued2009-09
dc.date.submitted2009-08
dc.identifier.issn0733-8716
dc.identifier.otherINSPEC Accession Number: 10847188
dc.identifier.urihttp://hdl.handle.net/1721.1/67001
dc.description.abstractWith the increasing proliferation of different communication devices sharing the same spectrum, it is critical to understand the impact of interference in heterogeneous wireless networks. In this paper, we put forth a mathematical model for coexistence in networks composed of both narrowband (NB) and ultrawideband (UWB) wireless nodes, based on fundamental tools from stochastic geometry. Our model considers that the interferers are spatially scattered according to a Poisson field, and are operating asynchronously in a wireless environment. We first determine the statistical distribution of the aggregate interference for both cases of NB and UWB emitters. We then provide error probability expressions for two dual configurations: 1) a NB victim link subject to the aggregate UWB interference, and 2) a UWB victim link subject to the aggregate NB interference. The results show that while the impact of a single interferer on a link is often negligible due to restrictions on the transmitted power, the aggregate effect of multiple interferers may cause significant degradation. Therefore, aggregate interference must be considered to ensure coexistence in heterogeneous networks. The proposed analytical framework shows good agreement with physical-level simulations of the system.en_US
dc.description.sponsorshipPortuguese Science and Technology Foundation (grant SFRH-BD-17388-2004)en_US
dc.description.sponsorshipMIT/Army Institute for Soldier Nanotechnologiesen_US
dc.description.sponsorshipUnited States. Office of Naval Research (Presidential Early Career Award for Scientists and engineers (PECASE) N00014-09-1-0435)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant ECS-0636519)en_US
dc.description.sponsorshipCharles Stark Draper Laboratory (Reduced Complexity UWB Communication Techniques Program)en_US
dc.description.sponsorshipEuropean Commission (FP7 ICT integrated project Co- Existing Short Range Radio by Advanced Ultra-WideBand Radio Technology (EUWB) grant 215669)t)en_US
dc.description.sponsorshipInstitute of Advanced Study (Natural Science and Technology Fellowship)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/jsac.2009.090922en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleA Stochastic Geometry Approach to Coexistence in Heterogeneous Wireless Networksen_US
dc.typeArticleen_US
dc.identifier.citationPinto, P.C. et al. “A stochastic geometry approach to coexistence in heterogeneous wireless networks.” Selected Areas in Communications, IEEE Journal on 27.7 (2009): 1268-1282. © 2011 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.approverWin, Moe Z.
dc.contributor.mitauthorWin, Moe Z.
dc.contributor.mitauthorPinto, Pedro C.
dc.relation.journalIEEE Journal on Selected Areas in Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGiorgetti, A.; Win, M.Z.; Pinto, P.C.; Chiani, M.en
dc.identifier.orcidhttps://orcid.org/0000-0002-8573-0488
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record