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        Interference Alignment for Cognitive Radio Communications and Networks: A Survey

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        jsan_08_00050.pdf (PDF, 2Mb)
        Author
        Abdulkadir, Yusuf
        Simpson, Oluyomi
        Sun, Yichuang
        Attention
        2299/21707
        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.
        Publication date
        2019-09-27
        Published in
        Journal of Sensors and Actuator Networks
        Published version
        https://doi.org/10.3390/jsan8040050
        Other links
        http://hdl.handle.net/2299/21707
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