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Cell breathing algorithms for load balancing in Wi-Fi/cellular heterogeneous networks

机译:用于Wi-Fi /蜂窝异构网络中的负载平衡的蜂窝呼吸算法

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摘要

As the data traffic demand increases exponentially, efficient and fair use of Wi-Fi networks together with the emerging cellular networks becomes a crucial topic. In this article, we first present novel cell breathing based load balancing algorithms for Wi-Fi networks which provide full service availability. Then we enhance these algorithms to provide efficient offloading from cellular to Wi-Fi network in hot-spot areas. We also provide an efficient adaptive strategy for dynamic environments, where user distribution temporally changes. An extensive set of simulation results show that the proposed algorithms are very promising in satisfying min-max fairness and better user experience in Wi-Fi/Cellular heterogeneous networks. (C) 2018 Elsevier B.V. All rights reserved.
机译:随着数据流量需求呈指数增长,有效和公平地使用Wi-Fi网络以及新兴的蜂窝网络已成为至关重要的话题。在本文中,我们首先介绍用于无线网络的新颖的基于小区呼吸的负载平衡算法,该算法可提供完整的服务可用性。然后,我们将增强这些算法,以在热点地区提供从蜂窝网络到Wi-Fi网络的有效卸载。我们还为用户分布随时间变化的动态环境提供了一种有效的自适应策略。大量的仿真结果表明,所提出的算法在满足Wi-Fi /蜂窝异构网络中的最小-最大公平性和更好的用户体验方面非常有前途。 (C)2018 Elsevier B.V.保留所有权利。

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