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dc.contributor.authorLie, Arne
dc.contributor.authorHåkegård, Jan Erik
dc.contributor.authorUlversøy, Tore
dc.contributor.authorLe Nir, Vincent
dc.contributor.authorSterner, Ulf
dc.contributor.authorHansson, Anders
dc.contributor.authorSaarnisaari, Harri
dc.contributor.authorPaso, Tuomas
dc.contributor.authorBräysy, Timo
dc.contributor.authorMarkkula, Juho
dc.contributor.authorLöfsved, Elisabeth
dc.contributor.authorKrygier, Jaroslaw
dc.date.accessioned2024-06-27T12:39:57Z
dc.date.available2024-06-27T12:39:57Z
dc.date.created2024-01-02T13:20:55Z
dc.date.issued2023
dc.identifier.citationIEEE Transactions on Cognitive Communications and Networking (TCCN). 2023, 10 (2), 580-593.en_US
dc.identifier.issn2372-2045
dc.identifier.urihttps://hdl.handle.net/11250/3136207
dc.description.abstractThe electromagnetic spectrum’s scarcity, the tactical edge’s dynamic nature, and the variety of tactical operations impose challenges to military cognitive radio networks. Multi-radio dynamic spectrum management (DSM) and routing promise to increase the spectral efficiency and robustness of tactical ad hoc networks by adding key control plane tools that adapt the network to the varying harsh tactical environments. This paper describes a novel concept where implicit spectrum sensing, a distributed DSM architecture with ontology-based spectrum access policies, modified routing and network time synchronization capabilities interplay to address those challenges. The simulation results verify the designed functionality in harsh electromagnetic environments in a multitude of scenario sizes, in terms of number of radio terminals and number of networks. In particular, the simulation of a large operational scenario shows solid scaling capabilities and that ongoing jamming in several networks is efficiently mitigated and low-loss performance are re-established.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.titleDynamic Spectrum Management and Routing Solutions for Multi-Radio Mobile Ad Hoc Networksen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber580-593en_US
dc.source.volume10en_US
dc.source.journalIEEE Transactions on Cognitive Communications and Networking (TCCN)en_US
dc.source.issue2en_US
dc.identifier.doi10.1109/TCCN.2023.3335350
dc.identifier.cristin2218968
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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