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Volume 41 Issue 12
Dec.  2019
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Xiyu WANG, Xiaoming Xu, Yajun CHEN. Performances Analysis in Uplink Non-Orthogonal Multiple Access System with Imperfect Successive Interference Cancellation[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2795-2801. doi: 10.11999/JEIT181165
Citation: Xiyu WANG, Xiaoming Xu, Yajun CHEN. Performances Analysis in Uplink Non-Orthogonal Multiple Access System with Imperfect Successive Interference Cancellation[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2795-2801. doi: 10.11999/JEIT181165

Performances Analysis in Uplink Non-Orthogonal Multiple Access System with Imperfect Successive Interference Cancellation

doi: 10.11999/JEIT181165
Funds:  The National Natural Science Foundation of China (61501516, 61601514)
  • Received Date: 2018-12-19
  • Rev Recd Date: 2019-04-30
  • Available Online: 2019-05-07
  • Publish Date: 2019-12-01
  • Non-Orthogonal Multiple Access (NOMA) serves multiple transmitters using the same resource block, and the receiver decodes the information from different transmitters through Successive Interference Cancellation (SIC). However, most of the researches on NOMA systems are based on perfect SIC assumption, in which the impact of imperfect SIC on NOMA system is not considered. Focusing on this problem, a framework is provided to analyze the performance of single-cell uplink NOMA system under the assumption of imperfect SIC. Firstly, the Binomial Point Process (BPP) is used to model the spatial distribution of base station and user equipment in uplink NOMA system. Based on this model, the interference cancellation order which is based on large-scale fading is adopted, and then the error of interference cancellation is analyzed. Then, based on stochastic geometry theory and order statistics theory, the expression of coverage probability of user equipment which is at rank k in terms of the distance from the base station is derived, besides, the average coverage probability is adopted to reflect the reliability of NOMA transmission system. The analytical and simulation results show the influence of system parameters such as distance order and base station radius on transmission reliability. Also, the validity of theoretical deduction is verified.
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