Abstract
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.
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Acknowledgements
This work was supported by Huawei Innovation Research Program, the key project of the National Natural Science Foundation of China (No. 61431001), the 5G research program of China Mobile Research Institute (Grant No. [2015] 0615), the open research fund of National Mobile Communications Research Laboratory Southeast University (No. 2017D02), Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology), the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, and Keysight. The Corresponding author is Dr. Xiaoming Dai.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ma, X. et al. (2018). Power Allocation for Downlink of Non-orthogonal Multiple Access System via Genetic Algorithm. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_43
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DOI: https://doi.org/10.1007/978-3-319-72823-0_43
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