论文标题

分析具有三个覆盖范围增强组的NB-iot网络中的随机访问:一种随机几何方法

Analysis of Random Access in NB-IoT Networks with Three Coverage Enhancement Groups: A Stochastic Geometry Approach

论文作者

Liu, Yan, Deng, Yansha, Jiang, Nan, Elkashlan, Maged, Nallanathan, Arumugam

论文摘要

事物的窄带互联网(NB-iot)是一种新的3GPP无线电访问技术,旨在为低功率广泛区域(LPWA)网络提供更好的覆盖范围。为了提供可靠的连接,在随机访问通道(RACH)过程和数据传输过程中,将重复传输方案和最多三个覆盖范围增强(CE)组引入NB-IOT,每个CE组都配置不同的重复值和传输资源。为了表征由三个CE组的NB-iot网络的RACH性能,本文开发了一种新型的流量感知时空模型,以分析RACH的成功概率,在该模型中,前序的传输中断和每个CE小组的碰撞事件均共同确定流量演化和RACH成功概率。基于此分析模型,我们在每个CE组中在多个时间段段中以不同的RACH方案(包括基线,后退(BO),访问类别避免(ACB)以及混合ACB和BOB和BOB和BO BO Schemes(ACB&BO)(ACB&BO)(ACB&BO)的多个时间插槽(包括基线,后退类别(BO),在每个CE组中,RACH成功概率的分析表达式)。我们的结果表明,三个CE组中设备的RACH成功概率优于单个CE组网络的RACH成功概率,而不是所有组的RACH成功概率,而不是由选择分类参数影响的所有组。该数学模型和分析框架可用于评估其他与空间分离的其他网络用户的性能。

NarrowBand-Internet of Things (NB-IoT) is a new 3GPP radio access technology designed to provide better coverage for Low Power Wide Area (LPWA) networks. To provide reliable connections with extended coverage, a repetition transmission scheme and up to three Coverage Enhancement (CE) groups are introduced into NB-IoT during both Random Access CHannel (RACH) procedure and data transmission procedure, where each CE group is configured with different repetition values and transmission resources. To characterize the RACH performance of the NB-IoT network with three CE groups, this paper develops a novel traffic-aware spatio-temporal model to analyze the RACH success probability, where both the preamble transmission outage and the collision events of each CE group jointly determine the traffic evolution and the RACH success probability. Based on this analytical model, we derive the analytical expression for the RACH success probability of a randomly chosen IoT device in each CE group over multiple time slots with different RACH schemes, including baseline, back-off (BO), access class barring (ACB), and hybrid ACB and BO schemes (ACB&BO). Our results have shown that the RACH success probabilities of the devices in three CE groups outperform that of a single CE group network but not for all the groups, which is affected by the choice of the categorizing parameters.This mathematical model and analytical framework can be applied to evaluate the performance of multiple group users of other networks with spatial separations.

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