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MALM: Mobility-Aware Location Management Scheme in Femto/Macrocell Networks

机译:MALM:毫微微/宏蜂窝网络中的移动感知位置管理方案

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摘要

Recently, femtocells are widely deployed to offload the traffic from the macrocell. Since conventional location management schemes of femto/macrocell networks do not consider mobility pattern of the mobile node (MN), unnecessary location updates can occur. Specifically, when an MN moves along the contour of the femtocell coverage, the MN frequently executes location update procedures, which causes significant location update cost. To address this problem, we propose a mobility-aware location management (MALM) scheme, where the MN conducts location update only at specific femtocells in which it is expected that the MN stays for a long time. To optimize MALM, a Markov decision process (MDP) problem is formulated and the optimal policy is determined. Evaluation results demonstrate that MALM with the optimal policy can reduce the number of location updates while providing sufficient offloading gain.
机译:最近,毫微微小区被广泛部署以减轻宏小区的流量。由于毫微微/宏蜂窝网络的常规位置管理方案不考虑移动节点(MN)的移动性模式,因此可能发生不必要的位置更新。具体地,当MN沿着毫微微小区覆盖的轮廓移动时,MN频繁地执行位置更新过程,这导致相当大的位置更新成本。为了解决此问题,我们提出了一种移动感知位置管理(MALM)方案,其中MN仅在期望MN停留很长时间的特定毫微微小区进行位置更新。为了优化MALM,制定了马尔可夫决策过程(MDP)问题并确定了最佳策略。评估结果表明,采用最佳策略的MALM可以减少位置更新的次数,同时提供足够的卸载增益。

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