Rate Splitting Multiple Access Scheme for Cognitive Radio Network | ||
| The Egyptian International Journal of Engineering Sciences and Technology | ||
| Article 18, Volume 38, Issue 2, June 2022, Pages 47-53 PDF (896.43 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/eijest.2021.89349.1090 | ||
| Authors | ||
| safaa Gamal Mohamed* 1; Khalid Hussein2; Mohamed Rihan3; Saleh Hussin1; Adel Zaghloul1 | ||
| 1Department of Electronics and Communication Engineering, Faculty of Engineering, Zagazig University, Egypt. | ||
| 2Electronics Research Institute (ERI), Egypt. | ||
| 3Department of Electronics and Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Egypt. | ||
| Abstract | ||
| This work is the first to introduce the rate splitting multiple access (RSMA) scheme for cognitive radio (CR) networks. The particle swarm optimization (PSO) is applied to get the best beamforming vectors and common rate vectors that achieve the maximum energy efficiency (EE). It is assumed that arbitrary numbers of primary users (PUs) and secondary users (SUs) exist in the system. The proposed system design is based on the application of the optimization process as described above while maintaining the constraint that the signal-to-interference-plus-noise ratio (SINR) for any PU shall be greater than a specified minimum value. In this way, not only the SINR at any PU is maintained higher than a pre-set minimum value to ensure higher priority than any other SU but also the fairness between the PUs themselves is realized to a satisfactory level. The effects of the operational parameters in CR networks such as the number of PUs and SUs, the number of transmitting antennas, the efficiency of the power amplifier, and the dynamic power consumed by a transmitting antenna are numerically investigated. | ||
| Keywords | ||
| Rate Splitting multiple access; Cognitive Radio; Particle Swarm Optimization; Energy Efficiency; Fairness | ||
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