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AuthorGuizani M.
AuthorKhalfi B.
AuthorGhorbel M.B.
AuthorHamdaoui B.
Available date2022-11-10T09:47:24Z
Publication Date2015
Publication NameIEEE Communications Magazine
ResourceScopus
Resource2-s2.0-84929346497
URIhttp://dx.doi.org/10.1109/MCOM.2015.7105640
URIhttp://hdl.handle.net/10576/36152
AbstractThis article presents recent advancements in resource management for large-scale DSA systems. Although the problem of spectrum and power allocation is well addressed in the literature, the need for more efficient algorithms still persists due to the exponential growth of the number of wireless devices. Thus, developing efficient distributed approaches has become an attractive solution that can follow the systems' rapid growth. Despite the number of economicdriven methods that have been presented, such as game theoretic solutions, these methods still rely on excessive information exchange, which results in high delays. Inspired by the success of behavioral techniques, mainly learning and filtering approaches, applications of these techniques to spectrum management have attracted more interest due to their distributivity and minimal requirements of information exchange. 1979-2012 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCognitive systems
Energy efficiency
Game theory
Information dissemination
Natural resources management
Resource allocation
Attractive solutions
Distributed approaches
Exponential growth
Information exchanges
Power allocations
Resource management
Spectrum management
Wireless devices
Information filtering
TitleLarge-scale cognitive cellular systems: Resource management overview
TypeArticle Review
Pagination44-51
Issue Number5
Volume Number53
dc.accessType Abstract Only


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