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Enhancing QoE-Aware Wireless Edge Caching With Software-Defined Wireless Networks

机译:通过软件定义的无线网络增强QoE感知的无线边缘缓存

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摘要

Software-defined networking and in-network caching are promising technologies in the next generation wireless networks. In this paper, we propose enhancing the quality of experience (QoE)-aware wireless edge caching with bandwidth provisioning in software-defined wireless networks (SDWNs). Specifically, we design a novel mechanism to jointly provide proactive caching, bandwidth provisioning, and adaptive video streaming. The caches are requested to retrieve data in advance dynamically according to the behaviors of users, the current traffic, and the resource status. Then, we formulate a novel optimization problem regarding the QoE-aware bandwidth provisioning in SDWNs with jointly considering in-network caching strategy. The caching problem is decoupled from the bandwidth provisioning problem by deploying the dual-decomposition method. Additionally, we relax the binary variables to real numbers so that those two problems are formulated as a linear problem and a convex problem, respectively, which can be solved efficiently. Simulation results are presented to show that the latency is decreased and the utilization of caches is improved in the proposed scheme.
机译:软件定义网络和网络内缓存是下一代无线网络中有希望的技术。在本文中,我们建议通过软件定义的无线网络(SDWN)中的带宽配置来提高感知质量(QoE)的无线边缘缓存。具体来说,我们设计了一种新颖的机制来共同提供主动缓存,带宽配置和自适应视频流。要求缓存根据用户的行为,当前流量和资源状态预先动态地检索数据。然后,我们结合网络内缓存策略,针对SDWN中的QoE感知带宽配置提出了一个新的优化问题。通过部署双重分解方法,可以将缓存问题与带宽供应问题分开。另外,我们将二元变量松弛为实数,以便将这两个问题分别表述为线性问题和凸问题,可以有效地解决它们。仿真结果表明,所提出的方案减少了等待时间,提高了缓存的利用率。

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