论文标题
智能反射表面辅助NOMA网络的物理层安全
Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks
论文作者
论文摘要
智能反射表面(IRS)技术正在作为下一代无线网络的一种有希望的性能增强技术。因此,我们研究了IRS辅助的非正交多访问网络中下行链路的物理层安全性,在窃听器的存在下,在该网络上部署了IRS,以通过协助细胞边缘用户与基本站进行通信,以增强质量。为了表征网络的性能,在Nakagami-M褪色的情况下,为反映的链接得出了新通道统计的预期值。此外,根据保密中断概率(SOP)和平均保密能力(ASC)评估了拟议网络的性能。 SOP和ASC的封闭形式表达式是派生的。我们还研究了各种网络参数对所考虑网络总体性能的影响。为了获得进一步的见解,获得了保密多样性顺序和高信噪比斜率。我们最终表明:1)反射链接中通道增益的期望既取决于IRS的数量和Nakagami-M褪色参数; 2)当IRS数量足够高时,接收器1和接收器2的SOP变为统一; 3)保密多样性顺序受到IRS的数量和Nakagami-M褪色参数的影响,而高-SNR斜率不受这些参数影响。我们的蒙特卡洛模拟完美地证明了分析结果。
Intelligent reflective surface (IRS) technology is emerging as a promising performance enhancement technique for next-generation wireless networks. Hence, we investigate the physical layer security of the downlink in IRS-aided non-orthogonal multiple access networks in the presence of an eavesdropper, where an IRS is deployed for enhancing the quality by assisting the cell-edge user to communicate with the base station. To characterize the network's performance, the expected value of the new channel statistics is derived for the reflected links in the case of Nakagami-m fading. Furthermore, the performance of the proposed network is evaluated both in terms of the secrecy outage probability (SOP) and the average secrecy capacity (ASC). The closed-form expressions of the SOP and the ASC are derived. We also study the impact of various network parameters on the overall performance of the network considered. To obtain further insights, the secrecy diversity orders and the high signal-to-noise ratio slopes are obtained. We finally show that: 1) the expectation of the channel gain in the reflected links is determined both by the number of IRSs and by the Nakagami-m fading parameters; 2) The SOP of both receiver 1 and receiver 2 becomes unity, when the number of IRSs is sufficiently high; 3) The secrecy diversity orders are affected both by the number of IRSs and by the Nakagami-m fading parameters, whereas the high-SNR slopes are not affected by these parameters. Our Monte-Carlo simulations perfectly demonstrate the analytical results.