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Interference Alignment for Cognitive Radio Communications and Networks: A Survey

School of Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
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J. Sens. Actuator Netw. 2019, 8(4), 50; https://doi.org/10.3390/jsan8040050
Received: 8 July 2019 / Revised: 23 August 2019 / Accepted: 23 September 2019 / Published: 27 September 2019
(This article belongs to the Special Issue Sensor and Actuator Networks: Feature Papers)
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. View Full-Text
Keywords: opportunistic interference alignment (OIA); spatial water-filling (SWF); space-time water-filling (ST-WF); maximum eigenmode beamforming (MEB) opportunistic interference alignment (OIA); spatial water-filling (SWF); space-time water-filling (ST-WF); maximum eigenmode beamforming (MEB)
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Abdulkadir, Y.; Simpson, O.; Sun, Y. Interference Alignment for Cognitive Radio Communications and Networks: A Survey. J. Sens. Actuator Netw. 2019, 8, 50.

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