Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2023, Vol. 46 ›› Issue (5): 118-124.

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Scheme of Maximizing Tradeoff for the IRS-aided Downlink NOMA Systems

  

  • Received:2022-09-09 Revised:2023-01-10 Online:2023-10-28 Published:2023-11-03
  • Contact: TIAN Xin-Jin E-mail:718213108@qq.com

Abstract: A resource allocation scheme for maximizing system rate and energy efficiency tradeoff is proposed for single cluster downlink non-orthogonal multiple access systems assisted by intelligent reflecting surface. Firstly, the optimization problem of maximizing the rate and energy efficiency tradeoff is established, with power of each user and IRS phase shifts as the optimization parameters. Secondly, the optimization problem is sim-plified, after which the parameters include total power and IRS phase shifts. Then, the IRS phase shifts are solved by maximizing the sum of the equivalent channel gains, and with given IRS phase shifts, the total power of maximizing the rate and energy efficiency tradeoff is find by using the function extremum method. Finally, the power of each user is calculated based on the obtained IRS phase shifts and the total power. The simulation results show that the tradeoff of the proposed scheme is higher than that of existing schemes in the same scenario under the condition of the same rate requirement.

Key words: non-orthogonal multiple access, intelligent reflecting surface, resource allocation, power, phase shift

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