Multi-user Grouping Optimization Algorithm Based on Non-orthogonal Multiple Access Systems

Guangfu WU; Tianyin DENG; Kairong SU; Yun LI

doi:10.11999/JEIT171220

Volume 40 Issue 9

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2080-2087

Guangfu WU, Tianyin DENG, Kairong SU, Yun LI. Multi-user Grouping Optimization Algorithm Based on Non-orthogonal Multiple Access Systems[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2080-2087. doi: 10.11999/JEIT171220

Citation:

Guangfu WU, Tianyin DENG, Kairong SU, Yun LI. Multi-user Grouping Optimization Algorithm Based on Non-orthogonal Multiple Access Systems[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2080-2087. doi: 10.11999/JEIT171220

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Multi-user Grouping Optimization Algorithm Based on Non-orthogonal Multiple Access Systems

doi: 10.11999/JEIT171220

Chongqing Key Lab of Mobile Communication Technology, The Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Science and Technology Nova Breeding Project (KJXX2017019), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJ1704096), The Doctoral Student Training Program (BYJS2016009), The National Natural Science Foundation of China (61701059, 61671096), Chongqing Research Program of Basic Science and Frontier Technology (cstc2017jcyjBX0005), The Open Research Fund of National Mobile Communications Research Laboratory Southeast University (2015D07)

Received Date: 2017-12-22
Rev Recd Date: 2018-05-15

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

As a key part in Non-Orthogonal Multiple Access (NOMA), user grouping is of particular importance for non-orthogonal multiple access system to improve throughput performance and user fairness. When the number of users and the available resources is increased, the optimal scheduling of user grouping will be infeasible, so a multi-user grouping optimization algorithm for different sub-bands is proposed. According to the user channel gain difference and the restrictions of the multiplexed user number in the same subband, the proposed algorithm firstly performs the process of the initial multi-user grouping to reduce the user’s search space. Then, the optimized combination of the initial grouping users is gradually completed, and the maximum geometric mean user throughput is used as user grouping criterion, which can further enhance the cell-edge user throughput. Simulation results show that the system total throughput and geometric mean user throughput performance of the proposed algorithm can be improved by more than 3% compared with the traditional user grouping algorithms.
- 5G mobile communication,
- Non-Orthogonal Multiple Access (NOMA),
- Proportional fairness scheduling,
- Multi-user grouping

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References(16)

References

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