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Impact Factor:7.4
Affiliation of Author(s):School of Computer Science and Information Engineering, Hefei University of Technology
Journal:IEEE Transactions on Cognitive Communications and Networking
Funded by:the National Natural Science Foundation of China under Grants 61971176 and 62371180,the Anhui Provi
Key Words:Symbiotic radio network, backscatter commu nication, reconfigurable intelligent surface
Abstract:The integration of simultaneous wireless information and power transfer (SWIPT) with backscatter and reconfigurable intelligent surface (RIS)-aided communication provides a promis ing paradigm to reduce the energy consumption. In this paper, we propose a RIS-enhanced hybrid backscatter and wireless powered transmission scheme in the symbiotic radio network. Under this setting, we formulate the throughput maximization problem by jointly optimizing the transmit beamforming, pas sive beamforming, transmit power, backscatter coefficient, and slot allocation. Due to the coupled variables, the formulated optimization is non-convex. To solve it, an iterative algorithm is developed to decompose it into multiple subproblems. Specifically, we obtain the closed-form solutions for those variables in the single-user system. For the multi-user system, we solve the problem via the second-order cone programming (SOCP) and semi-definite programming (SDP) methods. Numerical simula tions show that the proposed hybrid transmission scheme can effectively improve the network throughput.
Co-author:Xinyue Hu,Wei Huang
First Author:Yibo Yi
Indexed by:Journal paper
Correspondence Author:Caihong Kai
Discipline:Engineering
Document Type:J
Volume:11
Issue:1
Page Number:437-453
ISSN No.:2332 - 7731
Translation or Not:no
Date of Publication:2024-08-05
Included Journals:SCI、EI