Discrete stochastic optimization based parameter estimation for modeling partially observed WLAN spectrum activity
2012 (English)In: Infocommunications Journal, ISSN 2061-2079, Vol. 4, no 2, 11-17 p.Article in journal (Refereed) Published
Modeling and parameter estimation of spectrum usage in the ISM band would allow the competing networking technologies to adjust their medium access control accordingly, leading to the more efficient use of the shared spectrum. Tn this paper we address the problem of WLAN spectrum activity model parameter estimation. We propose a solution based on discrete stochastic optimization, that allows accurate spectrum activity modeling and can be implemented even in wireless sensor nodes with limited computational and energy resources.
Place, publisher, year, edition, pages
2012. Vol. 4, no 2, 11-17 p.
Cognitive networks, Discrete stochastic optimization, WLAN spectrum activity
IdentifiersURN: urn:nbn:se:kth:diva-104923ScopusID: 2-s2.0-84865741948OAI: oai:DiVA.org:kth-104923DiVA: diva2:567876
FunderICT - The Next Generation
QC 201211142012-11-142012-11-142015-04-24Bibliographically approved