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Volume 46 Issue 4
Apr.  2024
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WU Cuixian, ZHOU Chunyu, XU Yongjun, CHEN Qianbin. Robust Secure Resource Allocation Algorithm for Multiple Input Single Output Symbiotic Radio with Reconfigurable Intelligent Surface Assistance[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1203-1211. doi: 10.11999/JEIT230426
Citation: WU Cuixian, ZHOU Chunyu, XU Yongjun, CHEN Qianbin. Robust Secure Resource Allocation Algorithm for Multiple Input Single Output Symbiotic Radio with Reconfigurable Intelligent Surface Assistance[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1203-1211. doi: 10.11999/JEIT230426

Robust Secure Resource Allocation Algorithm for Multiple Input Single Output Symbiotic Radio with Reconfigurable Intelligent Surface Assistance

doi: 10.11999/JEIT230426
Funds:  The National Natural Science Foundation of China (62271094), The Key Fund of Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0009), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601)
  • Received Date: 2023-05-17
  • Rev Recd Date: 2023-11-08
  • Available Online: 2023-11-14
  • Publish Date: 2024-04-24
  • To resolve the channel uncertainties, wireless information leakage and low communication quality caused by obstacles, a robust secure resource allocation algorithm for a Reconfigurable Intelligent Surface (RIS) aided Multiple Input Single Output (MISO) Symbiotic Radio (SR) network is proposed. Considering the constraint of the secure rate of the primary user, the constraint of the minimum rate of the secondary user and the constraint of the minimum harvested energy of the RIS, a resource allocation problem based on the bounded channel uncertainties is formulated by jointly optimizing the active beamforming vector and the passive beamforming vector. Then, the parameter perturbation included non-convex problem is transformed into a deterministic convex optimization problem via the semidefinite relaxation, S-procedure and the variable substitution methods, and a semidefinite relaxation based robust resource allocation algorithm is proposed. Numerical results verify that the proposed algorithm has better convergence and robustness compared with existing algorithms.
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