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Optimization of wireless resources for personal communications mobility tracking

机译:优化用于个人通信移动性跟踪的无线资源

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In personal communications applications, users communicate via wireless with a wireline network. The wireline network tracks the current location of the user, and can therefore route messages to a user regardless of the user's location. In addition to its impact on signaling within the wireline network, mobility tracking requires the expenditure of wireless resources as well, including the power consumption of the portable units carried by the users and the radio bandwidth used for registration and paging. Ideally, the mobility tracking scheme used for each user should depend on the user's call and mobility pattern, so the standard approach, in which all cells in a registration area are paged when a call arrives, may be wasteful of wireless resources. In order to conserve these resources, the network must have the capability to page selectively within a registration area, and the user must announce his or her location more frequently. We propose and analyze a simple model that captures this additional flexibility. Dynamic programming is used to determine an optimal announcing strategy for each user. Numerical results for a simple one-dimensional mobility model show that the optimal scheme may provide significant savings when compared to the standard approach even when the latter is optimized by suitably choosing the registration area size on a per-user basis. Ongoing research includes computing numerical results for more complicated mobility models and determining how existing system designs might be modified to incorporate our approach.
机译:在个人通信应用中,用户通过无线与有线网络进行通信。有线网络跟踪用户的当前位置,因此可以将消息路由到用户,而与用户的位置无关。除了对有线网络内的信令产生影响外,移动性跟踪还需要消耗无线资源,包括用户携带的便携式单元的功耗以及用于注册和寻呼的无线电带宽。理想情况下,用于每个用户的移动性跟踪方案应取决于用户的呼叫和移动性模式,因此在呼叫到达时寻呼注册区域中所有小区的标准方法可能会浪费无线资源。为了节省这些资源,网络必须具有在注册区域内进行选择性寻呼的能力,并且用户必须更频繁地宣布其位置。我们提出并分析了一个简单的模型,该模型可以捕获这种额外的灵活性。动态编程用于确定每个用户的最佳通知策略。一个简单的一维移动性模型的数值结果表明,与标准方法相比,即使通过基于每个用户适当选择注册区域大小来优化标准方法,最佳方案也可以节省大量资金。正在进行的研究包括计算更复杂的移动性模型的数值结果,以及确定如何修改现有系统设计以结合我们的方法。

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