Beamforming Algorithm Based on Fair Utility Function for Multibeam Satellite Communication Downlink Transmission

SUN Shiyong; WANG Wei; GU Chenwei; ZHAO Bai; LIN Min

doi:10.11999/JEIT220409

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 3024-3032

SUN Shiyong, WANG Wei, GU Chenwei, ZHAO Bai, LIN Min. Beamforming Algorithm Based on Fair Utility Function for Multibeam Satellite Communication Downlink Transmission[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3024-3032. doi: 10.11999/JEIT220409

Citation:

SUN Shiyong, WANG Wei, GU Chenwei, ZHAO Bai, LIN Min. Beamforming Algorithm Based on Fair Utility Function for Multibeam Satellite Communication Downlink Transmission[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3024-3032. doi: 10.11999/JEIT220409

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Beamforming Algorithm Based on Fair Utility Function for Multibeam Satellite Communication Downlink Transmission

doi: 10.11999/JEIT220409

1.
The 54th Research Institute of China Electronic Technology Corporation, Shijiazhuang 050086, China
2.
China Mobile Group Jiangsu Company Limited, Wuxi 214125, China
3.
College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funds: The Key International Cooperation Projects (61720106003), The Development Fundation of CETC (BBX21104Z003)

Received Date: 2022-04-07
Rev Recd Date: 2022-05-16

Available Online: 2022-06-29

Publish Date: 2022-09-19

Abstract

Abstract

To balance the spectrum efficiency and energy efficiency of multi-beam satellite communication system, and guarantee the fairness of user service in multiusers scenarios, a fairness utility function-based BeamForming (BF) scheme is proposed. Specifically, considering the satellite transmit power minimization criteria and the system sum rate maximization criteria, a multi-objective optimization problem is first formulated, which adopts the $\alpha $-fairness function to improve the fairness of user service as maximizing the system spectrum efficiency. Then, the weighted sum method is used to transform the complexity multi-objective optimization problem, and a BF scheme based on the Cyclic Coordinate Ascent (CCA) method and the Backtracking Line Search (BLS) method is proposed to obtain the optimal BF weight vectors and the optimal Pareto set. Finally, the simulation results demonstrate the fairness of user service of the proposed BF scheme, and the influence of some typical parameters on the system fairness performance are analyzed. Besides, in comparison with the conventional schemes, the proposed scheme is capable of enhancing the system spectrum efficiency.
- Multibeam satellite communication,
- Multi-objective optimization,
- $\alpha $-fairness function,
- Beamforming

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References(26)

References

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