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A Matching Game Solution for Optimal RAT Selection in 5G Multi-RAT HetNets

机译:5G多大鼠Hetnets中最佳大鼠选择的匹配游戏解决方案

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摘要

Multiple Radio Access Technologies (Multi-RAT) heterogeneous Networks (HetNets) have been proposed as one of the main solutions to comprise the enormous growth of data traffic in fifth generation (5G) mobile networks. In this paper we consider RAT selection problem in Multi-RAT HetNets where user equipment (UE) has to choose between Long term Evolution (LTE) and Wireless Local Area Network (WLAN) radio access technologies. In this context, the RAT selection is modeled as a UE association process and formulated as an optimization problem aiming to maximize a certain UEs' weighted objective function in terms of user equipment achievable data rates and the security levels provided by different base stations (BSs). The weighting parameter is decided to reflect the orientation of UEs in which higher weighting value for the security level, means that UEs tends to select the BSs that can provide best security levels rather than achieved data rates. A many-to-one matching game-based association approach is then proposed and applied to capture optimal solution for UE association problem. Our simulation results are compared to the well-known WLAN first association algorithm, the results show the outperformance of the proposed matching game based association approach in terms of the achieved system throughput and rate outage probability at different requirements of security levels.
机译:已经提出了多个无线电接入技术(多RAT)异构网络(Hetnet)作为包括第五代(5G)移动网络中的数据流量巨大增长的主要解决方案之一。在本文中,我们认为用户设备(UE)在长期演进(LTE)和无线局域网(WLAN)无线电接入技术之间选择的多大鼠Hetnet中的大鼠选择问题。在这种情况下,RAT选择被建模为UE关联过程和配制为一个优化问题,旨在在由不同的基站提供的用户设备实现的数据率和所述安全水平方面以最大化特定UE的加权目标函数(BS)的。加权参数决定反映安全级别的较高加权值的UE的方向意味着UE倾向于选择可以提供最佳安全级别而不是实现数据速率的BSS。然后提出了一种基于基于游戏的基于游戏的关联方法,并应用于捕获UE关联问题的最佳解决方案。我们的仿真结果与众所周知的WLAN第一关联算法进行了比较,结果表明了基于匹配的基于比赛的关联方法的表现优于实现的系统吞吐量和速率中的安全级别要求的估价概率。

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