Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Yusuf Abdulkadir, Oluyomi Simpson, Yichuang Sun

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
40 Downloads (Pure)

Abstract

Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.
Original languageEnglish
Pages (from-to)1-33
Number of pages33
JournalJournal of Sensors and Actuator Networks
Volume8
Issue number4
DOIs
Publication statusPublished - 27 Sept 2019

Keywords

  • opportunistic interference alignment (OIA)
  • spatial water-filling (SWF)
  • space-time water-filling (ST-WF)
  • maximum eigenmode beamforming (MEB)
  • Space-time water-filling (ST-WF)
  • Maximum eigenmode beamforming (MEB)
  • Spatial water-filling (SWF)
  • Opportunistic interference alignment (OIA)

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