异构LTE/WiFi无线接入网络中流量感知用户关联

D. Harutyunyan, Supreeth Herle, Dimitri Maradin, George Agapiu, R. Riggio
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引用次数: 7

摘要

众所周知,WiFi网络是移动网络的一种经济高效的流量分流解决方案。多接入分组数据网络连接是LTE Release 10中引入的一项功能,目的是允许用户同时连接到多个无线接入网络(RAN)。尽管该特性带来了许多优点,例如实现基于qos的流量引导的可能性,但它也带来了许多挑战,其中之一是在两种无线接入技术之间分配流量。在本文中,我们提出了一种流量感知的LTE/WiFi异构局域网用户关联算法。该算法被表述为一个整数线性规划(ILP)问题,共同优化用户关联和资源分配。为了解决基于ilp算法的可扩展性问题,还提出了一种启发式算法。数值模拟是为了比较所提出的方法。最后,我们利用5G-EmPOWER平台在小型测试台上对启发式算法进行了实现和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic-aware user association in heterogeneous LTE/WiFi radio access networks
WiFi networks are known to be a cost-efficient traffic offloading solution for mobile networks. The Multi Access Packet Data Network Connectivity is a feature introduced in LTE Release 10 in order to allow users to be simultaneously connected to multiple radio access networks (RAN). Although this feature brings many advantages, such as the possibility to implement QoS-based traffic steering, it poses also many challenges, one of which is distributing traffic among the two radio access technologies. In this paper, we propose a traffic- aware user association algorithm for heterogeneous LTE/WiFi RANs. The proposed algorithm is formulated as an Integer Linear Programming (ILP) problem jointly optimizing user association and resource allocation. A heuristic is also proposed in order to address the scalability issues of the ILP-based algorithm. Numerical simulations are used in order to compare the proposed approaches. Finally, we implemented and tested the heuristic in small-scale testbed using the 5G-EmPOWER platform.
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