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Volume 45 Issue 12
Dec.  2023
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TIAN Xinji, WANG Kun, LI Xingwang. IRS-aided Uplink NOMA Systems Resource Allocation Scheme Based on Power Minimization[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4301-4307. doi: 10.11999/JEIT221281
Citation: TIAN Xinji, WANG Kun, LI Xingwang. IRS-aided Uplink NOMA Systems Resource Allocation Scheme Based on Power Minimization[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4301-4307. doi: 10.11999/JEIT221281

IRS-aided Uplink NOMA Systems Resource Allocation Scheme Based on Power Minimization

doi: 10.11999/JEIT221281
  • Received Date: 2022-10-08
  • Rev Recd Date: 2023-06-15
  • Available Online: 2023-06-20
  • Publish Date: 2023-12-26
  • A resource allocation scheme to minimize the total power is proposed for IRS-Assisted single cluster uplink Non-Orthogonal Multiple Access (NOMA) systems. Firstly, the optimization problem is constructed to minimize the total power, and the parameters are power for each user and Intelligent Reflecting Surface (IRS) phase shifts. Secondly, the relationship among the power required by single user, the channel, the user's rate requirements and IRS phase shifts is deduced. The joint optimization problem of power and phase shifts is decomposed into several sub-optimization problems with a single parameter. Then, all IRS phase shifts are solved by an iterative method, and the sub-optimization problems with a single parameter are solved in turn during each iteration. Finally, the minimum power required by each user is calculated based on the IRS phase shifts obtained by iteration. Simulation results show that the total power of the proposed scheme is lower than that of existing schemes in the same scenario.
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