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A Fairness Load Balancing Algorithm in HWN Using a Multihoming Strategy

机译:HWN中使用多宿主策略的公平负载均衡算法

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Due to the growth of the number of intelligent devices and the broadband requirements, between others technical requirements, of the new applications, suppose a new challenge in planning, maintenance and resource allocation in mobile networks for the telecommunication operators. Service providers must ensure a quality of service for users in a new environment based in Heterogeneous Wireless Networks (HWN). A good way to achieve this goal is to prevent the quantity of services of each mobile users being connected to the same access networks and therefore reducing the possibility of overloading it. This paper presents a load balancing optimization scheme that enables operators to make decisions about re-allocation of each of the services in different access networks, keeping the required Quality of Service (QoS). In this paper, we propose 1) a mathematical model addressed as a fairness resource allocation in order to obtain a global load balancing, and 2) a two-step algorithm based on the anchor-adjustment heuristic to solve it. Our algorithm contribute to unload the network with maximum load while at the same time, the other networks are balanced. As a result, we show that our algorithm finds (near)-optimal solutions while keeps low complexity.
机译:由于智能设备的数量的增长以及新应用的技术要求之间的宽带需求,为电信运营商在移动网络的规划,维护和资源分配中提出了新的挑战。服务提供商必须在基于异构无线网络(HWN)的新环境中为用户确保服务质量。实现此目标的一个好方法是防止每个移动用户的服务数量连接到相同的接入网络,从而减少其过载的可能性。本文提出了一种负载平衡优化方案,该方案使运营商可以决定在不同接入网络中每个服务的重新分配,同时保持所需的服务质量(QoS)。在本文中,我们提出1)数学模型解决公平资源分配,以获得全局负载平衡,2)基于锚点调整启发式算法的两步算法。我们的算法有助于最大负荷地卸载网络,同时平衡其他网络。结果表明,我们的算法在保持较低复杂度的同时找到了(最佳)最优解。

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