DocumentCode
60005
Title
Large-scale cognitive cellular systems: resource management overview
Author
Guizani, Mohsen ; Khalfi, Bassem ; Ben Ghorbel, Mahdi ; Hamdaoui, Bechir
Author_Institution
Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
Volume
53
Issue
5
fYear
2015
fDate
May-15
Firstpage
44
Lastpage
51
Abstract
This 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.
Keywords
cellular radio; cognitive radio; mobility management (mobile radio); particle filtering (numerical methods); behavioral technique; distributed approach; exponential growth; filtering approach; game theoretic solutions; information exchange; large-scale DSA systems; large-scale cognitive cellular systems; learning approach; particle filtering; power allocation; resource management overview; spectrum allocation; spectrum management; wireless device number; Algorithm design and analysis; Cellular networks; Cognitive radio; Interference; Quality of service; Radio spectrum management; Resource management; Sensors; Wireless communication;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2015.7105640
Filename
7105640
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