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Volume 45 Issue 4
Apr.  2023
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SHEN Bin, ZHANG Nan, JIANG Huilin, DONG Kunming. Outage Performance Analysis and Power Allocation Algorithm of Multi-user Cognitive Radio Non-Orthogonal Multiple Access System[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1201-1210. doi: 10.11999/JEIT220278
Citation: SHEN Bin, ZHANG Nan, JIANG Huilin, DONG Kunming. Outage Performance Analysis and Power Allocation Algorithm of Multi-user Cognitive Radio Non-Orthogonal Multiple Access System[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1201-1210. doi: 10.11999/JEIT220278

Outage Performance Analysis and Power Allocation Algorithm of Multi-user Cognitive Radio Non-Orthogonal Multiple Access System

doi: 10.11999/JEIT220278
Funds:  The National Natural Science Foundation of China (62071078)
  • Received Date: 2022-03-14
  • Rev Recd Date: 2022-08-03
  • Available Online: 2202-08-04
  • Publish Date: 2023-04-10
  • Non-Orthogonal Multiple Access (NOMA) is one of the key candidate technologies for 5G networks. Combined with Cognitive Radio (CR) technology, the CR-NOMA system achieves higher spectral efficiency and greater throughput quantity. The Coordinated Direct and Relay Transmission (CDRT) technology is introduced into the CR-NOMA system in this paper, where one Secondary Source (SS) communicates directly with one near-end secondary user, and the SS can only communicate with multiple far-end secondary users with the help of one Relay (R) node. With imperfect self-interference cancellation and Full-Duplex (FD) relaying, closed-form expressions for the Outage Probability (OP) of the NOMA users are derived. In addition, the revenue optimization problem of SS, R, and the users is analyzed, and an iterative algorithm of two-step user power allocation is proposed. Simulation results show, under the condition of a high signal-to-noise ratio (30 dB), compared with the average power allocation scheme and the random power allocation scheme, the proposed algorithm increases the user sum rate by up to 13%, the SS total income by 56%, and the R total income by 26%. Monte Carlo simulations verify that the theoretical analysis well matches the experimental results.
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