Collision Analysis of mIot Network with Power Ramping Scheme

Nan Jiang, Yansha Deng, A. Nallanathan, Xin Kang, Tony Q. S. Quek
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引用次数: 3

Abstract

The Random Access (RA) procedure is used to request channel resources for the uplink data transmission in the cellular-based massive Internet of Things (mIoT). To ease the RA failure and the network congestion, power ramping (PR) technique is used to step up the preamble transmit power after each unsuccessful RA attempt. In this paper, we develop a traffic aware spatio-temporal model to analyze the PR scheme in the mIoT network, where the Signal-to-Interference-and-Noise Ratio (SINR) outage and collision events jointly determine the traffic evolution and the RA success probability. Compared with existing literature only modelled collision from single cell perspective, we model both the SINR outage and the collision from the network perspective. Based on this analytical model, we derive the exact expression for the RA success probability to show the effectiveness of the PR scheme. Our results show that the geometry PR scheme with smooth increased transmission power is effective in heavy traffic scenario in terms of increasing the RA success probability.
基于功率斜坡方案的mIot网络碰撞分析
随机存取(Random Access, RA)过程是基于蜂窝的海量物联网(mIoT)中用于上行数据传输的信道资源请求过程。为了缓解RA失败和网络拥塞,在每次RA尝试失败后,采用功率爬坡(PR)技术来提高前导发射功率。在本文中,我们建立了一个流量感知的时空模型来分析mIoT网络中的PR方案,其中信噪比中断和碰撞事件共同决定了流量演变和RA成功概率。与现有文献仅从单个细胞的角度对碰撞进行建模相比,我们从网络的角度对SINR中断和碰撞进行建模。在此分析模型的基础上,导出了RA成功概率的精确表达式,以显示PR方案的有效性。结果表明,平滑增加传输功率的几何PR方案在高流量场景下可以有效地提高RA成功概率。
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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