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

机译:5G Multi-RAT HetNets中最优RAT选择的配对游戏解决方案

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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:已经提出了多种无线接入技术(Multi-RAT)异构网络(HetNets)作为主要解决方案之一,以解决第五代(5G)移动网络中数据业务的巨大增长。在本文中,我们考虑了Multi-RAT HetNets中的RAT选择问题,其中用户设备(UE)必须在长期演进(LTE)和无线局域网(WLAN)无线电接入技术之间进行选择。在这种情况下,将RAT选择建模为UE关联过程,并表述为优化问题,旨在根据用户设备可达到的数据速率和不同基站(BS)提供的安全级别最大化某些UE的加权目标函数。决定加权参数以反映UE的取向,其中针对安全级别的加权值较高,这意味着UE倾向于选择能够提供最佳安全级别而不是实现数据速率的BS。然后提出了一种基于多对一匹配的基于游戏的关联方法,并将其应用于捕获UE关联问题的最佳解决方案。我们的仿真结果与著名的WLAN首次关联算法进行了比较,结果表明,在不同安全级别要求下,基于匹配博弈的关联方法在实现的系统吞吐量和速率中断概率方面均表现出色。

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