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A novel cell zooming strategy towards energy efficient based on load balancing in random heterogeneous networks

机译：随机异构网络中基于负载平衡的高效能信元缩放策略

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摘要

This paper presents an energy efficient aware continuous cell zooming strategy based on load balancing in green network. Firstly, we derive a two-layer Poisson Voronoi Tessellation (PVT) random heterogeneous network (HetNets) model. Secondly, we periodically adjust the user equipment (UE) among cells to realize load balancing of the HetNets. According to base station cooperation, transferring or switching UE which in light-load or heavy-load at the same time. Finally, the radius of cells can be adjusted adaptively to achieve cell zooming. The performance of this work is examined under different user densities and ratios compared with some reference algorithms. Numerical evaluations show that our proposed algorithm can optimize system performance, ensure UE's quality of service (QoS) and improve energy efficient.
机译：本文提出了一种基于节能的绿色网络中基于负载平衡的连续小区缩放策略。首先，我们推导了两层Poisson Voronoi镶嵌（PVT）随机异构网络（HetNets）模型。其次，我们定期调整小区之间的用户设备，以实现HetNets的负载均衡。根据基站协作，同时转移或切换轻负载或重负载的UE。最后，可以自适应地调整像元的半径以实现像元缩放。与某些参考算法相比，在不同的用户密度和比率下检查了这项工作的性能。数值评估表明，我们提出的算法可以优化系统性能，确保UE的服务质量（QoS）并提高能效。

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