TY - JOUR
T1 - Interference Alignment for Cognitive Radio Communications and Networks: A Survey
AU - Abdulkadir, Yusuf
AU - Simpson, Oluyomi
AU - Sun, Yichuang
N1 - © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
PY - 2019/9/27
Y1 - 2019/9/27
N2 - 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.
AB - 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.
KW - opportunistic interference alignment (OIA)
KW - spatial water-filling (SWF)
KW - space-time water-filling (ST-WF)
KW - maximum eigenmode beamforming (MEB)
KW - Space-time water-filling (ST-WF)
KW - Maximum eigenmode beamforming (MEB)
KW - Spatial water-filling (SWF)
KW - Opportunistic interference alignment (OIA)
UR - http://www.scopus.com/inward/record.url?scp=85077003922&partnerID=8YFLogxK
U2 - 10.3390/jsan8040050
DO - 10.3390/jsan8040050
M3 - Article
SN - 2224-2708
VL - 8
SP - 1
EP - 33
JO - Journal of Sensors and Actuator Networks
JF - Journal of Sensors and Actuator Networks
IS - 4
ER -