Two-Way Cognitive Network supported by Reconfigurable Intelligent Surface

Thu-Thuy Thi Dao, Pham Ngoc Son
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引用次数: 1

Abstract

In this paper, we propose an underlay two-way (UTW) scheme in which two secondary sources transmit simultaneously their data to each other through the Reconfigurable Intelligent Surface (RIS). The proposed scheme is designed to operate in the full-duplex mode under an interference constraint of a primary receiver (PR). The exact closed-form expressions of outage probabilities are considered to evaluate the system performance. The results show that the secondary system performance increases as the number of reflected elements, the distances between PR and secondary sources, the maximum interference power-noise ratio at primary receivers (Q dB), and the maximum signal-noise ratio at the secondary sources (γ0 dB) increase. Moreover, if the value of the Q or the γ0 is large enough, the outage probabilities of the secondary network will fall into a saturation state. Finally, the Monte Carlo simulation results are collected to evidence the validity of the analytical expressions of the outage probabilities.
可重构智能表面支持的双向认知网络
在本文中,我们提出了一种底层双向(UTW)方案,其中两个辅助源通过可重构智能表面(RIS)同时相互传输数据。该方案被设计为在主接收机干扰约束下的全双工模式下工作。考虑了中断概率的精确封闭表达式来评估系统的性能。结果表明,二次系统性能随反射单元数、PR与二次源距离、主接收机最大干扰功率噪声比(Q dB)和二次源最大信噪比(γ0 dB)的增大而增大。此外,如果Q或γ0的值足够大,则次级网络的中断概率将陷入饱和状态。最后,通过蒙特卡罗仿真验证了中断概率解析表达式的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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