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Optimal Sensing and Interference Suppression in 5G Cognitive Radio Networks

Gashema Gaspard and Dong-Seong Kim
Dept. of IT Convergence Engineering, School of Electrons Engineering, Kumoh National Institute of Technology, Gumi, 39177, South Korea

Abstract—This paper proposes a technique to enhance both throughput and sensing time in secondary network under Full-Duplex Cognitive Radio (FD-CR). Subsequently, it overcomes power-throughput trade-off which is caused by SI-interference occurs during transmission. To do so, the CR node controls its transmission power over two fractions of frame duration unlike Simultaneous Sensing and Transmission (SST) approach which consists of controlling the entire frame duration. The performance was validated through simulation result using MATLAB simulation environment, then compare these results with that of existing approach (i.e.; SST). It was shown that, the proposed technique significantly outperforms SST in terms of throughput and sensing efficiency.
Index Terms—Cognitive radio networks, full-duplex, optimal sensing, power control, SI suppression

Cite: Gashema Gaspard and Dong-Seong Kim, "Optimal Sensing and Interference Suppression in 5G Cognitive Radio Networks," Journal of Communications vol. 15, no. 4, pp. 303-308, April 2020. Doi: 10.12720/jcm.15.4.303-308

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.