Abstract
NOMA is a new type of multiple access technology proposed by NTT DOCOMO to improve spectral efficiency and system throughput and to be compatible with existing communication network architectures. In the NOMA downlink network, users in a cell are divided into several user groups, and the user grouping strategy has a large impact on the performance of the NOMA downlink network system. Therefore, in this paper, we study the existing user grouping algorithms in NOMA, compare their advantages and disadvantages, and propose a new user grouping algorithm based on greedy algorithm. Simulation results show that our algorithm performs well in reducing computational complexity and improving system performance.
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Acknowledgments
This work was supported by Hainan Provincial Key R. & D. Projects of China (ZDYF2016010 and ZDYF2018012) and the National Natural Science Foundation of China (No. 61661018).
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Guo, YX., Li, H. (2019). Research on User Grouping Strategy in NOMA Downlink Networks. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_108
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DOI: https://doi.org/10.1007/978-981-13-6264-4_108
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