4.7 Article

Reconfigurable Intelligent Surface-Enabled Spectrum-Sharing Communications Based on Successive Interference Cancellation

期刊

IEEE WIRELESS COMMUNICATIONS LETTERS
卷 11, 期 1, 页码 116-120

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2021.3121685

关键词

Receivers; Transceivers; Decoding; Transmitters; Interference cancellation; Power demand; Optimization; RIS; spectrum sharing; successive interference cancellation; non-convex optimization

资金

  1. National Key Research and Development Program of China [2018YFE0100500]
  2. National Natural Science Foundation of China [61871387, 61861041, 61871471, 62171445]
  3. Natural Science Basic Research Program of Shaanxi [2019JM-019]
  4. Academy of Finland through EnergyNet Research Fellowship [321265, 328869]
  5. FIREMAN Consortium as part of CHIST-ERA Grant [326270, CHIST-ERA-17-BDSI-003]
  6. NUDT Research Fund [ZK17-03-08, ZK2040]

向作者/读者索取更多资源

This study proposes a scheme that uses reconfigurable intelligent surface and successive interference cancellation technology for spectrum sharing, which can reduce interference among multiple transceiver pairs and improve performance.
In this letter, a reconfigurable intelligent surface (RIS)-enabled successive interference cancellation (SIC)-based spectrum sharing (SS) scheme is proposed for SS networks where multiple transceiver pairs communicate over the same spectrum at the same time. The key idea is to apply the SIC technique at each receiver and utilize RIS simultaneously, so as to reduce the interference among different transceiver pairs and to focus energy. Specifically, to minimize the total power consumption at all the transmitters under given data rate constraints, the decoding order at each receiver, the reflection coefficients at RIS, and the transmit power at each transmitter are jointly optimized. The formulated problem is a mixed-combinatorial-and-continuous optimization problem and thus is difficult to solve. To address this, a low-complexity but effective decoding order determining method is first proposed. Given the decoding orders, the reflection coefficients and the transmit power are alternately optimized with the help of the semidefinite relaxation method. Substantial performance gains are shown compared with traditional RIS-enabled SS scheme without SIC.

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