Reconfigurable Intelligent Surface With Energy Harvesting Assisted Cooperative Ambient Backscatter Communications
Hui Ma, Haijun Zhang, Ning Zhang, Jianquan Wang, Ning Wang, Victor, C. M. Leung

TL;DR
This paper proposes an energy-harvesting reconfigurable intelligent surface to improve cooperative ambient backscatter communications, optimizing power consumption while maintaining quality of service.
Contribution
It introduces a novel RIS-assisted CABC system with energy harvesting capability and develops an effective optimization algorithm for power minimization.
Findings
The proposed algorithm effectively reduces RIS power consumption.
Simulation results confirm the algorithm's efficiency.
RIS with energy harvesting enhances CABC system performance.
Abstract
The performance of cooperative ambient backscatter communications (CABC) can be enhanced by employing reconfigurable intelligent surface (RIS) to assist backscatter transmitters. Since the RIS power consumption is a non-negligible issue, we consider a RIS assisted CABC system where the RIS with energy harvesting circuit can not only reflect signal but also harvest wireless energy. We study a transmission design problem to minimize the RIS power consumption with the quality of service constraints for both active and backscatter transmissions. The optimization problem is a mixed-integer non-convex programming problem which is NP-hard. To tackle it, an algorithm is proposed by employing the block coordinate descent, semidefinite relaxation and alternating direction method of multipliers techniques. Simulation results demonstrate the effectiveness of the proposed algorithm.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Energy Harvesting in Wireless Networks
