Method of Maximizing Sum Rate for Dual STAR-RIS Assisted Downlink NOMA Systems

TIAN Xinji; MENG Haoran; LI Xingwang; ZHANG Hui

doi:10.11999/JEIT240007

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TIAN Xinji, MENG Haoran, LI Xingwang, ZHANG Hui. Method of Maximizing Sum Rate for Dual STAR-RIS Assisted Downlink NOMA Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240007

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TIAN Xinji, MENG Haoran, LI Xingwang, ZHANG Hui. Method of Maximizing Sum Rate for Dual STAR-RIS Assisted Downlink NOMA Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240007

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Method of Maximizing Sum Rate for Dual STAR-RIS Assisted Downlink NOMA Systems

doi: 10.11999/JEIT240007

1.
Institute of Physics and Electronic Information, Henan Polytechnic University, Jiaozuo 454000, China
2.
Institute of Mining Engineering, Guizhou Institute Technology, Guiyang 550003, China

Funds: The National Natural Science Foundation of China (52164007), The Doctoral Fund of Henan Polytechnic University (B2018-39)

Received Date: 2024-01-16
Rev Recd Date: 2024-06-11

Available Online: 2024-06-18

Abstract

Abstract

A sum-rate maximization method is proposed for two Simultaneously Transmitting And Reflecting Reconfigurable Intelligent Surface (STAR-RIS) assisted downlink Non-Orthogonal Multiple Access (NOMA) systems. Firstly, the optimization problem for maximizing sum rate is constructed, with STAR-RIS phase shifts, power allocation and time allocation as optimization parameters. Then the Semi-Definite Programming method (SDP) is used to optimize the phase shifts of these two STAR-RISs. Finally, the power allocation and time allocation are optimized alternately by iterative method. In each iteration, Lagrange dual decomposition method is used to optimize power allocation and function extremum method is used to optimize time allocation. Simulation results show that the sum rate of the dual STAR-RIS-assisted NOMA system is higher than that of the single STAR-RIS-assisted NOMA system.

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References(15)

References

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