Network Resource Optimization in SDN-based Cellular Networks: A Traffic Steering Approach

Md. Sazzad Hossen, A. Jamalipour
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Abstract

Using the attributes of software-defined networking (SDN) platform, we propose an adaptive traffic steering scheme for the ultra-dense heterogeneous cellular networks. The proposed traffic steering scheme maximizes the utilization of network radio resources. In this paper, a SDN-based cellular network is proposed to assist steering scheme by providing real-time networks and user’s state information. After the cell condition is identified depending on resource utilization, three case scenarios are considered in the heterogeneous cellular networks (HetNets). In each scenario, proposed traffic steering algorithm makes a decision matrix for the user’s redistribution. Finally, the selected users perform the steering operation. Our proposed scheme ensures that, radio resource utilization can be maximized by redistributing the users in the available radio resources. Comprehensive system level simulations have been conducted. It is shown that the proposed traffic steering scheme increases network resource utilization and reduces the number of users transferred.
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基于sdn的蜂窝网络中的网络资源优化:一种流量导向方法
利用软件定义网络(SDN)平台的特性,提出了一种针对超密集异构蜂窝网络的自适应流量导向方案。所提出的流量导向方案最大限度地利用了网络无线电资源。本文提出了一种基于sdn的蜂窝网络,通过提供实时网络和用户状态信息来辅助转向方案。根据资源利用率确定小区条件后,在异构小区网络(HetNets)中考虑三种情况。在每种情况下,提出的流量转向算法都为用户的再分配生成决策矩阵。最后,选定的用户执行转向操作。我们提出的方案通过在可用的无线电资源中重新分配用户来保证无线电资源的最大利用率。进行了全面的系统级仿真。结果表明,所提出的流量导向方案提高了网络资源利用率,减少了用户传输数量。
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