一种具有弹性服务质量要求的多业务最优接纳控制策略

随着无线网络所支持的业务种类的增加和具有弹性服务质量要求的业务的大量出现，与服务质量保证密切相关的呼叫接纳控制问题成了近年来无线网络研究的热点之一。本文研究了基于准马尔可夫决策过程方法的多业务最优呼叫接纳控制问题。根据业务的特点，首先引入了带宽分配满意度函数和收益率函数，在此基础上，提出了基于带宽分配满意度的最优带宽分配算法和基于准马尔可夫决策过程方法的最优呼叫接纳控制策略。计算结果表明，本文方案能够在对各类业务的呼叫阻塞率进行适当权衡的前提下，进一步提高网络的期望收益率和期望带宽利用率，同时满足了各类业务的最低服务质量要求。

Semi-Markov Decision Process Approach-based Optimal Admission Control Policy for Flexible Multi-class QoS Requests

With the rapid increase of the supported traffic classes and the deployment of adaptive traffic in wireless networks, the QoS-related call admission control problem becomes one of the hottest research topics in the past few years. Based on the Semi-Markov decision process (SMDP) approach, this paper studies the optimal call admission control policy problem. According to the characteristic of the adaptive traffic, this paper introduces two new functions: the bandwidth allocation satisfaction function and the revenue rate function. Based on these functions, the optimal bandwidth allocation algorithm is proposed and the optimal admission control policy is studied by the SMDP approach. The results show that, with an appropriate tradeoff in call blocking probability between traffic classes, the performances measured by the expected revenue rate and the expected bandwidth utilization rate are greatly improved. At the same time, the minimum QoS (or bandwidth) requirement of every call is guaranteed.