Abstract
In this paper, we consider a backscatter communication (BackCom)-based cognitive network that consists of one primary transmitter, one primary receiver, multiple secondary transmitters (STs), and one secondary receiver (SR). Each ST operates in the BackCom or energy harvesting model. Our goal is to jointly optimize the energy harvesting and backscatter time, the transmit power of the primary transmitter, and the power reflection coefficient of each ST to maximize the sum throughput of all the STs under a nonlinear energy harvesting model while satisfying multiple constraints, i.e., the energy causality of each ST, the quality of service of the primary transmitter, etc. The formulated problem is nonconvex due to the coupled variables and is hard to solve. In order to address this problem, we decouple partially coupled variables by using the properties of the objective function and constructing auxiliary variables, and the remaining coupled variables are decoupled via successive convex approximation (SCA). On this basis, a SCA-based iterative algorithm is developed to solve the formulated problem. Simulation results are provided to support our work.
Highlights
Increasing demands for intelligent services have boosted the attention of Internet of ings (IoT), where massive tiny IoT devices should be deployed for connecting the physical environment and cyberspace seamlessly [1]. is poses an urgent need for developing a high spectrum efficient communication technology in the era of IoT networks
Motivated by the above observations, in this paper, we study the throughput fairness in a wireless powered cognitive hybrid active-passive communication network that consists of multiple backscatter devices (BDs) and backscatter receivers (BRs), one primary transmitter (PT), and one primary receiver (PR). e main contributions are summarized as follows: (i) A throughput fairness problem is formulated
Let gk′, fk′, hk′, fp,k′,and hp′ denote the small-scale fadings of the PT-the k-th BD link, the k-th BD-its receiver link, the PT-the k-th BR link, the k-th
Summary
Increasing demands for intelligent services have boosted the attention of Internet of ings (IoT), where massive tiny IoT devices should be deployed for connecting the physical environment and cyberspace seamlessly [1]. is poses an urgent need for developing a high spectrum efficient communication technology in the era of IoT networks. Is poses an urgent need for developing a high spectrum efficient communication technology in the era of IoT networks In this context, cognitive radio has been proposed, where the IoT nodes are allowed to share the spectrum with the primary users [2, 3]. In [11], the authors considered another wireless powered cognitive hybrid active-passive communication network, where two different backscatter communications are introduced, and proposed an optimal time allocation scheme to maximize the throughput of the IoT node. In [13], the authors considered multiple IoT nodes and Wireless Communications and Mobile Computing proposed to maximize the energy efficiency of all the IoT nodes by jointly optimizing the time and power resources, subject to the minimum throughput requirement of each IoT node and the energy causality constraint of each IoT node
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