Network Coding in Cognitive Radio Networks: A Comprehensive Survey

Ayesha Naeem, Mubashir Husain Rehmani, Yasir Saleem, Imran Rashid, Noel Crespi

Research output: Contribution to journalReview articlepeer-review

62 Citations (Scopus)

Abstract

Network coding (NC) is a technique used for effective and secure communication by improving the network capacity, throughput, efficiency, and robustness. In NC, data packets are encoded by intermediate nodes and are then decoded at the destination nodes. NC has been successfully applied in a variety of networks including relay networks, peer-to-peer networks, wireless networks, cognitive radio networks, and wireless sensor networks. Cognitive radio network (CRN) is an emerging field which exploits the utilization of unused spectrum or white spaces, effectively and efficiently. In CRNs, NC schemes are also applied to maximize the spectrum utilization, as well as to maintain the effective and secure transmission of data packets over the network. In this paper, we provide a comprehensive survey of NC schemes in cognitive radio networks, highlighting the motivations for and the applications of NC in CRNs. We provide typical case studies of NC schemes in CRNs, as well as the taxonomy of NC schemes in CRNs. Finally, we present open issues, challenges, and future research directions related with NC in cognitive radio networks.

Original languageEnglish
Article number7837713
Pages (from-to)1945-1973
Number of pages29
JournalIEEE Communications Surveys and Tutorials
Volume19
Issue number3
DOIs
Publication statusPublished - 01 Jul 2017
Externally publishedYes

Keywords

  • analog network coding (ANC)
  • Cognitive radio networks (CRNs)
  • dynamic spectrum access networks
  • network coding (NC)
  • physical layer network coding (PLNC)

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