Abstract
The existing cognitive single relay selection technology is lack of a full-duplex/half-duplex mode switching criteria, and only maximizes the system performance of secondary users in the single-duplex mode relay selection process, which result in a single relay mode and the overall performance of single primary networks and secondary networks is not optimal. To tackle these problems, the criteria for switching the hybrid duplex mode of the relay node is first derived. In the case of adopting the amplify-and-forward (AF) and decode-forward (DF) protocols, each candidate relay terminal selects the optimal duplex mode according to the signal-to-noise ratio (SNR) of the self-interference channel and the critical point of self-interference. Then propose a low interference hybrid duplex relay selection algorithm, the relay node uses the comprehensive performance loss of the primary network performance and the performance gain of the secondary network user as the indicator to optimize the relay selection, which maximizes the sacrifice value of the primary network. The simulation results show that the proposed algorithm can significantly improve the performance of the primary network system and the whole system. Furthermore, the performance of the secondary network is slightly reduced (or even improved).
This work is supported by Chongqing University of Posts and Telecommunications Ph.D. (A1029-17) and Chongqing Municipal Education Commission Project (KJQN201900645).
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xue, Y., Hou, W., Li, Z., Xia, S. (2020). Hybrid Duplex Relay Selection in Cognitive Radio Network. In: Wang, X., Leung, V.C.M., Li, K., Zhang, H., Hu, X., Liu, Q. (eds) 6GN for Future Wireless Networks. 6GN 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-63941-9_3
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