Robust Resource Allocation Algorithm for Reconfigurable Intelligent Surface-assisted Backscatter Communication Systems Based on Statistical Channel State Information

XU Yongjun; XU Juan; TIAN Qinyu; HUANG Chongwen

doi:10.11999/JEIT231169

Volume 46 Issue 5

May 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(5): 1986-1995

XU Yongjun, XU Juan, TIAN Qinyu, HUANG Chongwen. Robust Resource Allocation Algorithm for Reconfigurable Intelligent Surface-assisted Backscatter Communication Systems Based on Statistical Channel State Information[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1986-1995. doi: 10.11999/JEIT231169

Citation:

XU Yongjun, XU Juan, TIAN Qinyu, HUANG Chongwen. Robust Resource Allocation Algorithm for Reconfigurable Intelligent Surface-assisted Backscatter Communication Systems Based on Statistical Channel State Information[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1986-1995. doi: 10.11999/JEIT231169

Citation:

XU Yongjun, XU Juan, TIAN Qinyu, HUANG Chongwen. Robust Resource Allocation Algorithm for Reconfigurable Intelligent Surface-assisted Backscatter Communication Systems Based on Statistical Channel State Information[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1986-1995. doi: 10.11999/JEIT231169

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Robust Resource Allocation Algorithm for Reconfigurable Intelligent Surface-assisted Backscatter Communication Systems Based on Statistical Channel State Information

doi: 10.11999/JEIT231169

1.
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Information and Electronic Engineering, Zhejiang University, Hangzhou 310007, China

Funds: The National Natural Science Foundation of China (62271094, U23A20279), The Key Fund of Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0009, CSTB2023NSCQ-LZX0079), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601), The National Key R&D Program of China (20221YFA00500), The Graduate Scientific Research Innovation Project of Chongqing (CYB23241, CYS23450)

Received Date: 2023-10-30
Rev Recd Date: 2023-12-05

Available Online: 2023-12-19

Publish Date: 2024-05-30

Abstract

Abstract

In order to solve the problems of short-distance communication, lower system throughput and the effects of channel uncertainties in traditional Backscatter Communication (BackCom) systems, a robust resource allocation algorithm for a Reconfigurable Intelligent Surface (RIS)-assisted backscatter communication system with statistical Channel State Information (CSI) is proposed in this paper. A system weighting and sum throughput-maximization robust resource allocation model is formulated by considering the maximum transmit power constraint of the power station, the energy outage constraint and throughput outage constraint of backscatter nodes, the reflection coefficient constraint, the phase shift constraint of the RIS and the information transmission time constraint; Then, the original non-convex problem is transformed into a convex optimization problem by using the methods of Bernstein-type inequality, the alternating optimization, and the semi-definite relaxation technique. An iteration-based robust throughput maximization algorithm is designed. Simulation results show that the proposed algorithm had stronger robustness and higher throughput compared it with the traditional non-robust resource allocation algorithm and the resource allocation algorithm without RIS.
- Backscatter Communication (BackCom),
- Reconfigurable Intelligent Surface (RIS),
- Robust resource allocation,
- Channel uncertainty.

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References(25)

References

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