高斯分布节点的闭合形式路径损耗预测器
Closed-Form Path-Loss Predictor for Gaussianly Distributed Nodes
摘要：
无线节点空间位置仿真是部署工程师和网络规划人员用来分析网络特性的一种实践。特别是，节点的地理位置将直接影响连接性、信号保真度和服务质量等因素。在文献中，除了典型的均匀散射外，正态分布经常被用来模拟细胞系统中的移动体浓度。此外，高斯投放通常被认为是机载传感器部署的有效布局方法。尽管该模型具有一定的实用性，但得到网络信道损耗分布仍然依赖于详尽的蒙特卡罗模拟。在本文中，我们认为需要这种效率低下的方法，从而推导出一个通用的和精确的封闭形式的表达基站和网络的节点之间的路径损耗分布密度。仿真被用来重申理论分析的有效性，使用新的IEEE 802.20标准的值。
英文摘要：
The emulation of wireless nodes spatial position is a practice used by deployment engineers and network planners to analyze the characteristics of a network. In particular, nodes geolocation will directly impact factors such as connectivity, signals fidelity, and service quality. In literature, in addition to typical homogenous scattering, normal distribution is frequently used to model mobiles concentration in a cellular system. Moreover, Gaussian dropping is often considered as an effective placement method for airborne sensor deployment. Despite the practicality of this model, getting the network channel loss distribution still relies on exhaustive Monte Carlo simulation. In this paper, we argue the need for this inefficient approach and hence derived a generic and exact closed-form expression for the path-loss distribution density between a base-station and a network of nodes. Simulation was used to reaffirm the validity of the theoretical analysis using values from the new IEEE 802.20 standard.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
