Non-orthogonal multiple access (NOMA) is a promising technology in future communication systems due to high spectral efficiency. In this paper, we propose an efficient power allocation method based on the genetic algorithm (GA) to solve the non-linear optimization problem for maximizing the achievable sum rate under a total power constraint and the users’ quality of service (QoS) in the downlink NOMA systems. Different power allocation coefficients can be obtained with different objective functions and optimization criteria. Simulation results demonstrate that the NOMA systems with power allocation using GA can achieve better performance than the orthogonal multiple access (OMA) systems in terms of the achievable sum rate.
CITATION STYLE
Ma, X., Wu, J., Zhang, Z., Zhang, Z., Wang, X., Chai, X., … Dai, X. (2018). Power Allocation for Downlink of Non-orthogonal Multiple Access System via Genetic Algorithm. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 211, pp. 459–470). Springer Verlag. https://doi.org/10.1007/978-3-319-72823-0_43
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