Skip to search boxSkip to navigationSkip to main content

A survey on MAC protocols for complex self-organizing cognitive radio networks

  • Munam Ali Shah
    ,
  • Sijing Zhang
    ,
  • Muhammad Kamran
    ,
  • Qaisar Javaid
    ,
  • Bahjat Fatima
  • COMSATS University Islamabad
    ,
  • University of Sindh
    ,
  • International Islamic University Islamabad
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

Complex self-organizing cognitive radio (CR) networks serve as a framework for accessing the spectrum allocation dynamically where the vacant channels can be used by CR nodes opportunistically. CR devices must be capable of exploiting spectrum opportunities and exchanging control information over a control channel. Moreover, CR nodes should intelligently coordinate their access between different cognitive radios to avoid collisions on the available spectrum channels and to vacate the channel for the licensed user in timely manner. Since inception of CR technology, several MAC protocols have been designed and developed. This paper surveys the state of the art on tools, technologies and taxonomy of complex self-organizing CR networks. A detailed analysis on CR MAC protocols form part of this paper. We group existing approaches for development of CR MAC protocols and classify them into different categories and provide performance analysis and comparison of different protocols. With our categorization, an easy and concise view of underlying models for development of a CR MAC protocol is provided.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 18

Journal (Volume, Issue Number)

Complex Adaptive Systems Modeling (Volume 4, Issue 1)

Publication milestones

  • Published - 18/08/2016

Publication status

Published - 18/08/2016

ISSN

2194-3206

External Publication IDs

  • handle.net: 10547/623895
  • Scopus: 85015179241

Access to documents

Publication metrics

Metrics

Download statistics
Download count
8

PlumX, opens in new tab

Captures
10
7
Social media
37