Mobility-aware personalized handover function provisioning system in B5G networks
Future Generation Computer Systems(2024)
摘要
Current 5G networks suffer from high signaling overhead due to highly mobile vehicles. In this paper, we first introduce a personalized handover function (denoted μHF) that consolidates all handover-related functionalities for individual mobile devices (MDs). Recognizing that the location of μHF affects overall handover performance, we propose a mobility-aware μHF provisioning system (MA-μHFPS), which utilizes a central controller to collect mobility information for each MD and provisions μHFs in the edge cloud for MDs that are expected to have high mobility for a long time. To minimize signaling overhead and migration cost for handover-related information from the central cloud to the edge cloud while ensuring that the average required resource of the edge cloud remains below a specific threshold, we formulate a constrained Markov decision process (CMDP) problem. By converting the CMDP problem into a linear programming (LP) model, we can achieve an optimal stochastic policy using a traditional algorithm with low complexity. Evaluation results demonstrate that MA-μHFPS significantly reduces signaling overhead with a small state migration cost compared to the traditional handover management system.
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关键词
Mobility management,Personalized handover function,Handover function provisioning system,B5G networks
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