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Prediction based interference management and distributed trajectory regulation in amorphous cells

机译:非晶细胞中基于预测的干扰管理和分布式轨迹调节

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The amorphous cells have emerged as a new paradigm to meet the fast increasing wireless capacity and coverage demands. Compared with the traditional cellular networks with hexagon-based deployments, the amorphous cells support mobile base stations (MBS) to form dynamic cell topologies, which can adapt to the group-movement behaviors of network loads. These amorphous cells are required to be self-organized so as to facilitate distributed coordination between MBSs, whereby the operational costs can be effectively reduced. Moreover, the management of cochannel interferences needs to take MBSs' movement into account, which is the new challenge not encountered in traditional cellular networks. In this paper, we propose a distributed trajectory regulation algorithm aiming at enhancing the reliability of communications for multiple mobile-host (MH) groups, while not violating the required travel time budgets. For this purpose, we jointly consider the prediction of channel conflicts across MBSs', the channel collision costs, and cooperative channel allocation for trajectory control. Simulation evaluations show that our algorithm can well balance the reliability and travel time. The simulation results also demonstrate the reduction of failure rate for incoming calls compared with the conventional approach, especially when the network load is high.
机译:非晶细胞已成为新的范例,以满足快速增加的无线容量和覆盖需求。与具有基于六边形部署的传统蜂窝网络相比,非晶单元支持移动基站(MBS)以形成动态细胞拓扑,这可以适应网络负载的组移动行为。这些无定形细胞需要自组织,以便于MBS之间的分布协调,从而可以有效地减少运营成本。此外,Cochannel干扰的管理需要考虑MBSS的运动,这是传统蜂窝网络中未遇到的新挑战。在本文中,我们提出了一种分布式轨迹调节算法,旨在提高多个移动宿主(MH)组的通信可靠性,同时不会违反所需的旅行时间预算。为此目的,我们共同考虑了MBSS的信道冲突的预测,频道碰撞成本和轨迹控制的协作信道分配。仿真评估表明,我们的算法可以平衡可靠性和旅行时间。仿真结果还展示了与传统方法相比来电的失败率的降低,特别是当网络负载高时。

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