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A policy approximation method for the UMTS connection admission control problem modelled as an MDP

机译:建模为MDP的UMTS连接允许控制问题的策略近似方法

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摘要

This article presents a connection admission control (CAC) algorithm for UMTS networks based on the Markov decision process (MDP) approach. To deal with the non-stationary environment due to the time-varying statistical characteristics of the offered traffic, the admission policy has to be computed periodically based on on-line measurements, and the optimal policy computation is excessively time-consuming to be performed on-line. Thus, this article proposes a reduction of the policy space coupled with an aggregation of the state space for the fast computation of a sub-optimal admission policy. Theoretical results and numerical simulations show the effectiveness of the proposed approach.
机译:本文提出了一种基于Markov决策过程(MDP)方法的UMTS网络连接准入控制(CAC)算法。为了应对由于所提供流量的时变统计特性而导致的非平稳环境,必须基于在线测量来定期计算准入策略,并且最优策略计算会非常耗时。 -线。因此,本文提出减少策略空间并结合状态空间的聚合,以快速计算次优准入策略。理论结果和数值模拟表明了该方法的有效性。

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