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Optimal sojourn time for connection status transition scheme in wireless networks supporting packet data service

机译:支持分组数据服务的无线网络中连接状态转换方案的最佳停留时间

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In provisioning packet data service on wireless cellular networks, a scheme of altering connection status between mobile and base stations appeared with an effort to utilize resource during idle periods. A critical issue in such scheme of sojourn and transition on the connection states is to determine a maximum time to sojourn at each state. An excessive sojourn time leads to resource invasion by inactive stations, while a high cost of re-establishing connection components is imposed by an insufficient sojourn. Thus, the maximum sojourn times must be optimized in consideration of the two conflicting arguments. In this paper, we consider a generic scheme of connection status transitions and formulate a decision problem to determine maximum sojourn times by introducing a loss function which reflects the conflicting arguments. From the decision problem, we derive an optimal value for maximum sojourn time, identified as Bayes rule, by observing the delay time of last packet to have posterior information about the length of upcoming idle period. From the analytical results, we show the optimal sojourn time is trivial under a constraint on loss coefficients when packet arrivals follow a Poisson process.
机译:在提供无线蜂窝网络上的分组数据服务中,在空闲时段期间,努力出现在移动和基站之间改变移动和基站之间的连接状态的方案。在连接状态下索journ和转换方案中的一个关键问题是确定在每个州的最长时间到苏约。过度静音时间导致非活动站的资源入侵,而重建连接部件的高成本是由不足的沉默。因此,必须考虑到两个冲突的参数来优化最大静止时间。在本文中,我们考虑一个连接状态转换的通用方案,并制定决策问题,以通过引入反映冲突的参数的损失函数来确定最大的静音时间。从决策问题来看,我们通过观察最后一个数据包的延迟时间来识别为贝叶斯规则的最大测量时间,以获得关于即将到来的空闲时段长度的后部信息的延迟时间。从分析结果来看,当数据包到达遵循泊松过程时,我们展示了在损耗系数的约束下的最佳侦察时间。

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