The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 12, 2024
Filed:
Mar. 17, 2020
Multi-carrier resource allocation method based on wireless-powered backscatter communication network
Chongqing University of Posts and Telecommunications, Chongqing, CN;
Yongjun Xu, Chongqing, CN;
Qianbin Chen, Chongqing, CN;
Guoquan Li, Chongqing, CN;
Qilie Liu, Chongqing, CN;
CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS, Chongqing, CN;
Abstract
The present invention relates to a multi-carrier resource allocation method based on a wireless-powered backscatter communication network. The method comprises following steps: S1. constructing a wireless-powered backscatter communication system; S2: according to circuit power and transmit power constraints, establishing a resource allocation optimization problem taking a maximum total transmission rate of the system as an objective function; S3: according to the objective function and constraint conditions, decomposing an optimization sub-problem taking the transmit power of the backscatter transmitter as a variable; S4: after substituting optimal transmit power of the backscatter transmitter into an original problem, decomposing a sub-problems taking an energy allocation coefficient as a variable from an original optimization problem; S5: converting non-convex problems containing coupling variables into convex problems, creating a Lagrangian function, obtaining an optimal solution form according to a KKT condition, and iteratively updating corresponding variables using a gradient descent method until convergence.