期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 21, 期 9, 页码 6818-6833出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2022.3152499
关键词
Probabilistic logic; Wireless communication; Convergence; Linear programming; Receivers; Optimization; Resource management; Alternating maximization; energy efficiency; first-order algorithm; outage probability; physical layer security; reconfigurable intelligent surface
资金
- National Key Research and Development Program of China [2021YFB3300200]
- Shenzhen Science and Technology Program [RCB20200714114956153]
- Guangdong Basic and Applied Basic Research Project [2021B1515120067]
- Science and Technology Development Fund of Macao SAR [0015/2019/AKP]
This paper investigates the potential of reconfigurable intelligent surfaces (RIS) to enhance network secure transmission. It formulates an energy-efficient secure transmission design problem with a probabilistic outage constraint. By leveraging the exponential distribution property of received signal power, stochastic resource allocation is transformed into a deterministic problem and solved iteratively using low complexity algorithms. The simulation results show that the proposed algorithm significantly reduces computation time and improves energy efficiency compared to conventional methods.
Reconfigurable intelligent surface (RIS) has the potential to significantly enhance the network secure transmission performance by reconfiguring the wireless propagation environment. However, due to the passive nature of eavesdroppers and the cascaded channel brought by the RIS, the eavesdroppers' channel state information is imperfect at the base station. Under channel uncertainty, the optimal phase-shift, power allocation, and transmission rate design for massive antennas and reflecting elements secure transmission are challenging to solve due to the outage probabilistic constraint with coupled variables. To fill this gap, this paper formulates a problem of energy-efficient secure transmission design with the probabilistic outage constraint. By leveraging the exponential distribution property of the received signal power, the stochastic resource allocation is equivalently transformed into a deterministic one, and the secure energy efficiency maximization problem can be iteratively solved via low complexity first-order algorithms under the alternating maximization (AM) framework. However, due to the nonsmooth problem, the convergence of the objective function value and nature of the converged solution under AM iteration are uncertain. Therefore, the convergence properties with respect to the objective function value and sequence of solutions are further established. Simulation results corroborate the convergence results of the first-order algorithms and show that the proposed algorithm achieves identical performance to the conventional method but saves at least two orders of magnitude in computation time. Moreover, the resultant RIS aided secure transmission significantly improves the energy efficiency compared to baseline schemes of random phase-shift, fixed phase-shift, and RIS ignoring CSI uncertainty.
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