%0 Journal Article
%A LU Guang-yue
%A YE Ying-hui
%A ZAN Jin-mei
%A GAO Xiao-na
%T Throughput Fairness Guarantee in Cognitive Backscattering Networks
%D 2021
%R 10.13190/j.jbupt.2021-096
%J Journal of Beijing University of Posts and Telecommunications
%P 26-32
%V 44
%N 6
%X To guarantee the throughput fairness among Internet of things (IoT) nodes in cognitive backscatter communication networks, a resource allocation scheme based on max-min criterion is proposed. Based on the dynamic circuit energy consumption model and the nonlinear energy harvesting model of IoT nodes, a non-convex multi-dimensional resource allocation problem is formulated, in which the communication capacity is maximized by jointly optimizing the transmitting power, reflection coefficient and time division. First, the contradiction, successive convex approximation and auxiliary variables method are used to transform the original problem into a convex optimization problem. Then, an iterative algorithm is proposed to solve the transformed problem. Simulation results show the proposed resource allocation scheme improves the communication capacity of IoT nodes while guaranteeing the throughput fairness among IoT nodes.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2021-096