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Volume 44 Issue 7
Jul.  2022
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SONG Kang, DONG Dandan, LI Chunguo. Outage Performance Analysis of Multiple Reconfigurable Intelligent Surfaces Assisted Two-way Communication System[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2342-2348. doi: 10.11999/JEIT220072
Citation: SONG Kang, DONG Dandan, LI Chunguo. Outage Performance Analysis of Multiple Reconfigurable Intelligent Surfaces Assisted Two-way Communication System[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2342-2348. doi: 10.11999/JEIT220072

Outage Performance Analysis of Multiple Reconfigurable Intelligent Surfaces Assisted Two-way Communication System

doi: 10.11999/JEIT220072
Funds:  The National Key Research and Development Program of China (2020YFB1807201), The National Natural Science Foundation of China (61901241, 62171119), The Key Research and Development Plan of Jiangsu Province (BE2021013-3), The Open Research Funds of Shaanxi Key Laboratory of Information Communication Network and Security (ICNS201903)
  • Received Date: 2022-01-17
  • Rev Recd Date: 2022-04-07
  • Available Online: 2022-04-19
  • Publish Date: 2022-07-25
  • Reconfigurable Intelligent Surface (RIS), which can intelligently change the wireless propagation environment to improve significantly communication performance, has been regarded as one of the potential key technologies of 6G. In order to enhance further the performance of RIS-assisted communication system, a two-way RIS selection communication scheme is proposed in this paper, and the transmission efficiency of the system is effectively improved by introducing full-duplex technology and self-interference cancellation technology. The closed-form expression of the outage probability of the proposed system is derived under Rayleigh fading channel, and the relationship among the outage probability, the number of RIS reflecting elements and the number of RIS in the system is obtained. Finally, the accuracy of the derivation and the performance advantages of the proposed scheme are verified by Monte Carlo simulations.
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