Abstract
Non-orthogonal multiple access (NOMA) has attracted great attention as a promising downlink multiple access technique for the next generation cellular networks (5G) due to its superior spectral efficiency. Power allocation of multi-user scenario in NOMA is a challenging issue and most of existing works focus on two-user scenario. In this work, we develop a dual sub-gradient descent algorithm based on Lagrange dual function to optimize multi-user power allocation for the multiple-input single-output (MISO) downlink NOMA system. The objective function is a non-convex optimization problem and we can solve it with a log-convex method and an approximation based approach. Numerical results demonstrate that the proposing scheme is able to achieve higher capacity performance for a NOMA transmission system compared with the traditional orthogonal multiple access (OMA) with a few iterations.
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Acknowledgment
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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Wu, J. et al. (2018). Power Allocation for NOMA System via Dual Sub-gradient Descent. 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_50
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DOI: https://doi.org/10.1007/978-3-319-72823-0_50
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