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A mixed-integer programming model of registration signalling and paging in a mobile communication network

机译:移动通信网络中的注册信号和寻呼的混合整数编程模型

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Handling traffic delays in a mobile communication network (MCN) is a principal problem due to time and cost expenses. Delays limit mobile coverage. Therefore, optimisation techniques and tools are applied to minimise delays. However, there is still a high chance that at some points the network will lose its integral connectivity and delays happen. Delays prohibit call transmissions and produce several breaks. System breaks/delays cause call pending for a connection. Accordingly, network partitioning happens, thus leads to disconnection. This paper proposes a mixed-integer programming (MIP) to minimise network delays while a reliable trade-off between registration signalling (RS) and paging (P) coverage distances is maintained. The proposed MIP is NP-hard. For this reason, a metaheuristic approach, genetic algorithm (GA), is developed and compared with it. MIP validation is endorsed by GA approximations in different random trials and comparative analysis investigates GA performance metrics in a numerical example.
机译:处理移动通信网络中的交通延迟(MCN)是由于时间和成本费用的主要问题。延迟限制移动覆盖范围。因此,应用优化技术和工具来最小化延迟。但是,仍有很大的机会,在某些点,网络将失去其积分连接和延迟发生。延迟禁止呼叫传输并产生几个休息。系统中断/延迟导致连接呼叫。因此,接收网络分区,从而导致断开。本文提出了一种混合整数编程(MIP),以最小化网络延迟,同时保持登记信令(RS)和寻呼(P)覆盖距离之间的可靠权衡。所提出的MIP是NP - 硬。出于这个原因,开发并与其进行了遗传算法(GA)遗传算法(GA)。在不同随机试验中的GA近似度,对MIP验证认可,并且比较分析在数值示例中调查GA性能度量。

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