User Profile-based Caching in 5G Telco-CDNs

A. Soltani, B. Akbari, N. Mokari
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引用次数: 2

Abstract

With 5G networks on the horizon, providing immense radio access rate, mobile core networks will face an extremely heavy load to accommodate the users' requests. Employing Content Delivery Networks inside Mobile Networks (Telco-CDNs) is one of the promising solutions to alleviate the extra load and avoid congestion in the mobile core networks. Our goal is to exploit the users' profiles in cache replacement policies in order to improve their Quality of Experience (QoE). By using the information readily available in Mobile Network Operators (MNOs) such as user locations and their content preference, we propose a novel cache replacement strategy incorporating the users' profile information. We evaluate the proposed method compared to de-facto policies. Furthermore, we demonstrate that in scenarios involving moving users, our approach shows better performance with up to 23% more traffic saving relative to traditional methods. Finally, we investigate our method's sensitivity to profile accuracy and demonstrate its capabilities despite possible errors in profile estimations.
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5G电信cdn中基于用户配置文件的缓存
随着5G网络即将到来,提供巨大的无线接入速率,移动核心网络将面临极其沉重的负载,以满足用户的需求。在移动网络内部部署内容分发网络(telco - cdn)是缓解移动核心网络的额外负载和避免拥塞的一种很有前途的解决方案。我们的目标是在缓存替换策略中利用用户的配置文件,以提高他们的体验质量(QoE)。通过利用移动网络运营商(MNOs)的用户位置和内容偏好等信息,我们提出了一种新的包含用户个人资料信息的缓存替换策略。我们将建议的方法与实际政策进行比较。此外,我们证明,在涉及移动用户的场景中,我们的方法表现出更好的性能,与传统方法相比,可节省高达23%的流量。最后,我们研究了我们的方法对轮廓精度的敏感性,并证明了它的能力,尽管在轮廓估计中可能存在错误。
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