Robust Resource Allocation Algorithm for RIS-Assisted MISO Systems with Eavesdroppers

XU Yongjun; XU Ran; ZHOU Jihua; WAN Yangliang; HUANG Chongwen; LIU Bohong

doi:10.11999/JEIT211537

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2253-2263

XU Yongjun, XU Ran, ZHOU Jihua, WAN Yangliang, HUANG Chongwen, LIU Bohong. Robust Resource Allocation Algorithm for RIS-Assisted MISO Systems with Eavesdroppers[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2253-2263. doi: 10.11999/JEIT211537

Citation:

XU Yongjun, XU Ran, ZHOU Jihua, WAN Yangliang, HUANG Chongwen, LIU Bohong. Robust Resource Allocation Algorithm for RIS-Assisted MISO Systems with Eavesdroppers[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2253-2263. doi: 10.11999/JEIT211537

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Robust Resource Allocation Algorithm for RIS-Assisted MISO Systems with Eavesdroppers

doi: 10.11999/JEIT211537 cstr: 32379.14.JEIT211537

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Jinmei Communication Co. LTD., Chongqing 400030, China
3.
Aerospace New Generation Communications Co., Ltd., Chongqing 401332, China
4.
95696 Troops, Chongqing 400030, China
5.
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
6.
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61601071, 62071078), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002)

Received Date: 2021-12-20
Accepted Date: 2022-06-07
Rev Recd Date: 2022-06-02

Available Online: 2022-06-12

Publish Date: 2022-07-25

Abstract

Abstract

To resolve the problems of the effect of channel uncertainties, information leakage of users and energy-efficient improvement, a robust resource allocation algorithm for Reconfigurable Intelligent Surface (RIS)-assisted multiple-input single-output systems with eavesdroppers and imperfect channel state information is proposed. Firstly, considering the constraints of the minimum received power of energy-harvesting devices, the minimum secure rate of each legitimate user, the maximum transmit power of the base station and the phase-shift matrix of RIS, a multi-variable coupling and nonlinear resource optimization problem is formulated by jointly optimizing the information beamforming, energy beamforming and the phase shifts under bounded channel uncertainties. Then, the original non-convex problem is transformed into a deterministic convex one by using Dinkelbach’s method, S-Procedure and the alternating optimization method. An alternating optimization algorithm based on successive convex approximation is proposed to solve the problem. Simulation results show that the proposed algorithm has lower outage probabilities by comparing it with the traditional non-robust algorithms.
- Reconfigurable Intelligent Surface (RIS),
- Imperfect channel state information,
- Energy-efficient maximization

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References(23)

References

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