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Large-scale cognitive cellular systems: resource management overview

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  • This paper 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 became an attractive solution that can follow the systems’ rapid growth. Despite the number of economic-driven methods that were presented such as game theoretic solutions, these methods still rely on excessive information exchange, which results in high delays. Inspired from 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.
  • This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE-Institute of Electrical and Electronics Engineers and can be found at: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=35 ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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  • Guizani, M., Khalfi, B., Ben Ghorbel, M., & Hamdaoui, B. (2015). Large-scale cognitive cellular systems: resource management overview. IEEE Communications Magazine, 53(5), 44-51. doi:10.1109/MCOM.2015.7105640
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  • 53
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  • 5
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  • This work was made possible by NPRP grant # NPRP 5-319-2-121 from the Qatar National Research Fund (a member of Qatar Foundation).
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