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Performance analysis of wireless-powered cognitive radio networks with ambient backscatter

机译:环境反向散射的无线动力认知无线网络性能分析

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摘要

Ambient backscatter is a promising wireless communication technique where low-power users communicate with each other without any dedicated power source. These communicating users transmit their information by reflecting ambient radio-frequency (RF) signals. In this paper, we propose an ambient backscatter communications-assisted wireless-powered underlay cognitive radio network (CRN). The proposed CRN consists of a single primary transmitter (PT) and multiple primary receivers (PRs), secondary transmitters (STs), and secondary receivers (SRs). For efficient utilization of radio resources, the STs in the proposed scheme dynamically adopt either harvest-then-transmit mode or backscatter mode. Furthermore, PRs cooperate with STs to select an appropriate mode for their communication with SRs. To evaluate the performance of our proposed scheme, we conduct system-level simulations. Numerical results show that the performance of the secondary system can be improved in terms of throughput with minimum effect on the communication of primary users.
机译:环境反向散射是一个有前途的无线通信技术,低功耗用户在没有任何专用电源的情况下彼此通信。这些通信用户通过反射环境射频(RF)信号来发送它们的信息。在本文中,我们提出了一个环境反向散射通信辅助无线动力底层认知无线电网络(CRN)。所提出的CRN由单个初级发射器(PT)和多个主接收器(PRS),辅助发射器(STS)和辅助接收器(SRS)组成。为了有效利用无线电资源,所提出的方案中的STS动态采用了收获 - 然后发送模式或反向散射模式。此外,PRS与STS合作,选择与SRS通信的适当模式。为了评估我们提出的计划的表现,我们进行系统级模拟。数值结果表明,在吞吐量方面可以提高二级系统的性能,并对主要用户通信的最小影响。

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