Abstract
Backscatter communications have been acknowledged as an essential key technology in the Internet of Things (IoT) applications. Considering the fact that it needs the coordination from network agents, cooperative bargaining theory is an effective method to strike an appropriate system performance. In this paper, we investigate time scheduling algorithms for a backscatter-aided radio-frequency (RF) powered cognitive radio (CR) network, where multiple secondary transmitters can switch among the backscatter, the energy harvest, and active data transmission modes. Our objective is to maximize the RF-CR system performance while exploring the mutual benefits to leverage a reciprocal consensus between different control issues. According to the ideas of two different bargaining solutions - modified Nash bargaining solution and equitable Nash bargaining solution, we design a new dual bargaining game model to effectively share the limited time resources. The main novelty of our proposed approach is its adaptability, flexibility and responsiveness to current RF-CR system conditions. At last, numerical simulations are carried out to evaluate the performance of the proposed scheme, and we demonstrate the benefits of our dual bargaining game approach.
Highlights
We have been witnessing the growth of wireless communication technologies over the last decades
● We study the fundamental idea of the equitable Nash bargaining solution (ENBS) and modified Nash bargaining solution (MNBS) to design our dual bargaining game model
We explain the basic ideas of the ENBS and MNBS to design a novel dual bargaining game
Summary
We have been witnessing the growth of wireless communication technologies over the last decades. It is a wireless communication paradigm that allows a secondary backscatter device to superimpose its information-bearing data on a primary signal, without requiring any type of powerconsuming active components or other signal conditioning units This technology allows IoT devices to transmit data by reflecting incident RF signals. ● The ENBS is used to switch between HTT and backscatter modes, and the MNBS is adopted to dynamically schedule the time resources for the active ST data transmission These two solutions lead to a reciprocal consensus in the challenging time scheduling problem. The principles and characteristics of ENBS and MNBS are presented Based on these two solutions, we design our time scheduling algorithm for the backscatter-aided RF-powered CR system.
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