• 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