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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 thebroadband requirements, between others technical requirements, of the newapplications, suppose a new challenge in planning, maintenance and resourceallocation in mobile networks for the telecommunication operators. Serviceproviders must ensure a quality of service for users in a new environmentbased in Heterogeneous Wireless Networks (HWN). A good way to achievethis goal is to prevent the quantity of services of each mobile users beingconnected to the same access networks and therefore reducing the possibilityof overloading it. This paper presents a load balancing optimization schemethat enables operators to make decisions about re-allocation of each of theservices in different access networks, keeping the required Quality of Service(QoS). In this paper, we propose 1) a mathematical model addressed as afairness resource allocation in order to obtain a global load balancing, and 2) atwo-step algorithm based on the anchor-adjustment heuristic to solve it. Ouralgorithm contribute to unload the network with maximum load while at thesame time, the other networks are balanced. As a result, we show that ouralgorithm finds (near)-optimal solutions while keeps low complexity.
机译:由于智能设备的数量的增加以及新应用的宽带需求以及其他技术需求,在电信运营商的移动网络规划,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连接到相同接入网络的服务数量,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,该方案使运营商能够做出有关在不同接入网络中每种服务的重新分配的决策,同时保持所需的服务质量(QoS)。在本文中,我们提出1)一个数学模型,以公平资源分配为目标,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来解决。我们的算法有助于最大负载地卸载网络,而同时其他网络则处于平衡状态。结果,我们证明了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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