Power Allocation Optimization of Cooperative Relaying Systems Using Non-orthogonal Multiple Access

Ronglan HUANG; Yun LIU; Qishang LI; Wen TANG

doi:10.11999/JEIT180842

Volume 41 Issue 8

Aug. 2019

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Ronglan HUANG, Yun LIU, Qishang LI, Wen TANG. Power Allocation Optimization of Cooperative Relaying Systems Using Non-orthogonal Multiple Access[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1909-1915. doi: 10.11999/JEIT180842

Citation:

Ronglan HUANG, Yun LIU, Qishang LI, Wen TANG. Power Allocation Optimization of Cooperative Relaying Systems Using Non-orthogonal Multiple Access[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1909-1915. doi: 10.11999/JEIT180842

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Power Allocation Optimization of Cooperative Relaying Systems Using Non-orthogonal Multiple Access

doi: 10.11999/JEIT180842

1.
Guangxi Colleges and Universities Key Laboratory of Image Processing and Intelligent Information System, Wuzhou University, Wuzhou 543002, China
2.
College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
3.
Department of Equipment Maintenance of 95795 Troop of the PLA, Guilin 541003, China

Funds: The National Natural Science Foundation of China (61501531), The Scientific Research Project of Wuzhou University 2012 (2012C001)

Received Date: 2018-08-29
Rev Recd Date: 2019-01-30

Available Online: 2019-03-19

Publish Date: 2019-08-01

Abstract

Abstract

A novel scheme termed Hybrid Power Allocation Strategy (H-PAS), which is integrated with Statistical Channel State Information (S-CSI) and Instantaneous Channel State Information (I-CSI), is proposed for Non-Orthogonal Multiple Access (NOMA) based on cooperative relaying systems to achieve a better performance-complexity tradeoff. Simulation results demonstrate that, with the proposed H-PAS, on the one hand, NOMA shows distinct advantage on the sum-rate compared with conventional orthogonal multiple access techniques in which only the knowledge of S-CSI is available; On the other hand, NOMA reduces the signaling overhead and computational complexity at the expense of marginal sum rate degradation when compared with the cases in which only the knowledge of I-CSI is available for it.
- Non-Orthogonal Multiple Access (NOMA),
- Sum-rate,
- Power Allocation (PA)

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References(18)

References

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