面向蜂窝网络移动性鲁棒性分析的目标小区位置动态建模：技术报告

中文摘要 AI 辅助

移动性鲁棒性优化（MRO）需要合理选择切换（HO）参数，如触发时间（TTT）和偏移余量，以平衡切换失败与乒乓切换。现有基于随机几何的MRO分析常假设目标基站（BS）的角位置在可行区域内均匀分布，但该假设未明确捕捉用户设备（UE）在网络中移动时动态选择的目标基站的空间分布。本文针对6 GHz以下蜂窝网络，构建基于随机几何的MRO分析框架，首先推导直线型UE移动下的切换触发时间分布与动态选择的目标基站空间分布，基于此将过晚切换与乒乓切换事件建模为互斥的移动事件，解析推导二者概率。数值结果验证了解析表达式，表明明确刻画目标基站分布对切换性能评估有不可忽略的影响，且该框架可量化过晚切换与乒乓切换概率关于TTT的权衡关系，助力识别使二者概率之和最小的TTT值。

英文摘要

Mobility robustness optimization (MRO) requires an appropriate selection of handover (HO) parameters such as the time-to-trigger (TTT) and offset margin to balance HO failures and ping-pong HOs. Existing stochastic geometry-based analyses for MRO have treated the angular position of the target base station (BS) as uniformly distributed over a feasible region. However, this treatment does not explicitly capture the spatial distribution of the target BS dynamically selected as a user equipment (UE) moves through the network. In this paper, we develop a stochastic geometry-based analytical framework for MRO in sub-6 GHz cellular networks. We derive the distribution of the HO triggering time and the spatial distribution of the dynamically selected target BS under straight-line UE mobility. Based on these distributions, we formulate too-late HO and ping-pong HO events as mutually exclusive events and analytically derive their probabilities. Numerical results validate the analysis, demonstrate improved accuracy over the conventional uniform-angle model, and reveal the tradeoff between the two HO events and the dependence of the optimal TTT on BS density.

发表机构

• Graduate School of Engineering, Mie University（三重大学工学研究科）

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