ris增强noma辅助后向散射通信在Nakagami-m衰落下的误码率性能

M. Usman, S. Basharat, H. Pervaiz, S. Hassan, Haejoon Jung
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引用次数: 2

摘要

反向散射通信(BackCom)已被设想为实现电池受限的物联网(IoT)设备持续运行的潜在候选者。这种方法涉及到通过无源反射和调制撞击射频(RF)信号的反向散射节点(BSN)传输信息。然而,当代BackCom系统的短操作范围和低数据速率使它们本身不足以在过多的物联网设备之间提供无处不在的连接。与此同时,无线网络正迅速向智能无线电范式发展。因此,为了增强覆盖范围和容量,可重构智能表面(RISs)可以集成到现有BackCom系统中。RISs采用无源反射元件自适应配置随机无线环境,具有成本效益和能源效率。此外,可以利用非正交多址(NOMA)来提高BackCom系统的频谱效率。本文提出了一种ris增强型noma辅助双基地BackCom系统在Nakagami-m衰落信道下的设计和误码率分析。我们广泛的仿真结果揭示了所提出的系统比传统的没有RIS的noma辅助BackCom系统的有效性,并展示了各种因素,包括功率反射系数、RIS相移设计、反射元件数量、RIS位置和分裂因子,对所提出的RIS辅助系统的误码率性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the BER Performance of RIS-Enhanced NOMA-Assisted Backscatter Communication under Nakagami-m Fading
Backscatter communication (BackCom) has been envisioned as a prospective candidate for enabling the sustained operation of battery-constrained Internet-of- Things (IoT) devices. This approach involves the transmission of information by a backscatter node (BSN) through passive reflection and modulation of an impinging radio-frequency (RF) signal. However, the short operational range and low data rates of contemporary BackCom systems render them insufficient on their own to provide ubiquitous connectivity among the plethora of IoT devices. Meanwhile, wireless networks are rapidly evolving towards the smart radio paradigm. Thus, to enhance the coverage range and capacity, reconfigurable intelligent surfaces (RISs) can be incorporated into the existing BackCom systems. RISs employ passive reflective elements to adaptively configure the stochastic wireless environment in a cost-effective and energy- efficient manner. Furthermore, non-orthogonal multiple access (NOMA) can be exploited to improve the spectral efficiency of the BackCom systems. In this paper, we present the design and bit error rate (BER) analysis of an RIS-enhanced NOMA-assisted bistatic BackCom system under Nakagami-m fading channel. Our extensive simulation results reveal the effectiveness of the proposed system over the conventional NOMA-assisted BackCom system without RIS, and demonstrate the impact of various factors, including the power-reflection coefficients, RIS phase-shift designs, number of reflecting elements, RIS location, and split factor, on the BER performance of the proposed RIS-assisted system.
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