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Distance-Based Location Management Utilizing Initial Position for Mobile Communication Networks

机译:利用初始位置进行移动通信网络的基于距离的位置管理

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摘要

This paper aims at improving the distance-based location management scheme for mobile communication networks. In location management, a mobile terminal (MT) is tracked based on its location-update area (LA). The improvement is brought about by joint optimization of LA center and LA size. For LA center optimization (LCO), we determine the optimal center position of the LA given the initial position of the MT upon each location update. The investigation of optimal LA center has eluded research to date. Based on the popular continuous-time random walk (CTRW) mobility model, we propose an analytical framework that uses a diffusion equation to determine the optimal LA center that minimizes the total cost of location management, consisting of the location update cost and terminal paging cost. This framework allows us to easily model the non-Markovian movement of the MT and evaluate the impact of various measurable physical parameters (such as length of road section, angle between road sections, and road section crossing time) and LA center. In particular, we show that proper LA center can significantly reduce the total cost. For example, for the circular LA and low Poisson call-arrival rate, optimizing the LA center alone has the potential of reducing the cost by up to 37 percent. Joint optimization of the LA center and terminal paging scheme can reduce the cost even further. Simulations results match the theoretical analysis to a gap within 3 percent, indicating that our theoretical model is very accurate.
机译:本文旨在改进基于距离的移动通信网络位置管理方案。在位置管理中,基于其位置更新区域(LA)来跟踪移动终端(MT)。改进是通过联合优化LA中心和LA尺寸实现的。对于洛杉矶中心优化(LCO),我们在每次位置更新时根据MT的初始位置来确定洛杉矶的最佳中心位置。迄今为止,最佳洛杉矶中心的调查尚未开展。基于流行的连续时间随机行走(CTRW)移动性模型,我们提出了一个分析框架,该框架使用扩散方程来确定最佳的LA中心,从而将位置管理的总成本降至最低,包括位置更新成本和终端寻呼成本。该框架使我们能够轻松地模拟MT的非马尔可夫运动,并评估各种可测量的物理参数(例如路段的长度,路段之间的角度以及路段的穿越时间)和洛杉矶中心的影响。特别是,我们证明了适当的洛杉矶中心可以大大降低总成本。例如,对于圆形LA和低Poisson呼叫到达率,仅优化LA中心就有可能将成本降低多达37%。洛杉矶中心和终端寻呼方案的联合优化可以进一步降低成本。仿真结果与理论分析相符,相差3%以内,表明我们的理论模型非常准确。

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