Novel Insights into Probability of Success of Random Access Scheme in 5G Millimeter Wave Cellular Network

Shilpi Varshney, Shreya Tyagi, B. Sainath
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引用次数: 1

Abstract

As we progress towards the fifth generation (5G) wireless systems to meet the data rate requirements, it becomes difficult for the conventional cellular networks to provide connectivity in the uplink to a huge number of connected devices. Hence, the adoption of the millimeter wave (mmWave) technology will ease the integration of IoT devices into the 5G cellular network. In this paper, we consider a stochastic geometry model to investigate baseline Random Access scheme’s success probability in the Internet of things (IoT) that uses millimeter wave (mmWave) cellular communication technology. Specifically, to obtain novel insights, we analyze probability of success of the random access scheme in the following three scenarios: i) Success probability as a function of the signal power-to-noise ratio (SNR), ii) Success probability as a function of the signal power-to-interference ratio (SIR), and iii) Success probability in terms of signal power-to-interference plus noise ratio (SINR). Furthermore, we approximate the probability of success in LOS region using a simplified ball model for a large number of IoT devices. Using Monte Carlo simulations, the approximation of LOS-ball comes out to be sufficiently accurate with the analytical results for typical IoT intensity.
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5G毫米波蜂窝网络中随机接入方案成功概率的新见解
随着我们向第五代(5G)无线系统发展以满足数据速率要求,传统的蜂窝网络很难在上行链路中提供大量连接设备的连接。因此,采用毫米波(mmWave)技术将简化物联网设备与5G蜂窝网络的集成。在本文中,我们考虑一个随机几何模型来研究基线随机接入方案在使用毫米波(mmWave)蜂窝通信技术的物联网(IoT)中的成功概率。具体来说,为了获得新的见解,我们在以下三种情况下分析了随机接入方案的成功概率:i)成功概率作为信号功率噪声比(SNR)的函数,ii)成功概率作为信号功率干扰比(SIR)的函数,iii)成功概率作为信号功率干扰加噪声比(SINR)的函数。此外,我们使用大量物联网设备的简化球模型来近似LOS区域的成功概率。通过蒙特卡罗模拟,LOS-ball的近似结果与典型物联网强度的分析结果足够准确。
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