未来移动网络的协作小区缓存框架

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"本文主要探讨了未来移动网络中一种创新的协作小区缓存框架，旨在应对日益增长的多媒体服务需求与无线链路容量、无线接入网络带宽以及回传网络带宽之间的矛盾。作者Xiaofei Wang, Xiuhua Li, Victor C.M. Leung 和 Panos Nasiopoulos 来自加拿大英属哥伦比亚大学电气与计算机工程系。在摘要中，作者指出，近年来，移动网络上丰富的多媒体服务需求呈爆炸式增长，然而现有的无线链路容量和网络基础设施无法有效地处理这种流量负载。为解决这一问题，文章提出了一个新颖的协作小区缓存框架。在这个框架下，每个小区的基站都具备一定的流行内容缓存能力。通过理论建模和分析，作者深入研究了该框架的可行性，并提出了利用前缀树聚合来优化不同小区之间的缓存性能。此外，文章还讨论了在5G移动网络中实施缓存可能面临的问题，如如何有效地分布和更新缓存内容，以及如何处理用户请求的动态变化。基于真实数据驱动的模拟，作者评估了所提出的协作缓存框架的性能，这将有助于理解其在实际网络环境中的表现和潜在优势。 1. 协作缓存基础：协作缓存是一种技术，允许相邻或相互连接的小区共享和利用存储空间来缓存常用内容，减少了对核心网络的依赖，降低了数据传输延迟，提高了用户体验。 2. 前缀树聚合：前缀树（Trie树）结构用于优化缓存策略，通过聚集具有相同前缀的数据，可以更有效地管理和检索缓存内容，减少不必要的通信开销。 3. 5G网络挑战：5G网络的高速度和低延迟要求对缓存策略进行优化，以适应更大规模的设备连接和更高的数据传输速率。文章探讨了这些挑战，并提出了可能的解决方案。 4. 性能评估：通过模拟实验，作者能够量化协作缓存框架在实际网络环境中的效果，包括带宽利用率、缓存命中率和用户服务质量等关键指标。 5. 实施考虑：文章还涵盖了实际部署中的问题，如如何平衡缓存空间、更新策略、用户隐私保护以及网络资源的动态分配。这篇文章提供了对未来移动网络中协作缓存技术的深入洞察，为5G网络的设计和优化提供了有价值的理论依据和实践指导。"

A Framework of Cooperative Cell Caching for the Future Mobile Networks

Xiaofei Wang, Xiuhua Li, Victor C. M. Leung, Panos Nasiopoulos

Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada

{xfwang, lixiuhua, vleung, panos}@ece.ubc.ca

Abstract

The demand for rich multimedia services over

mobile networks has been soaring at a tremendous

pace over recent years. However, the wireless link

capacity as well as the bandwidth of the radio access

networks and the backhaul network cannot practically

cope with the explosive growth in mobile traffic load.

In this article, we mainly focus on a new novel

framework of cooperative cell caching for future

mobile cellular networks, where the base station of

each cell can have certain capability of caching

popular contents. Then we carry out necessary

theoretical modeling-based analysis. We also propose

to utilize prefix-tree aggregation to improve the

caching performance among cells, and discuss

potential deployment issues for caching in 5G mobile

networks. Based on trace-driven simulations, we

evaluate the performance of the proposed framework.

1. Introduction

Due to the fast development of mobile networking

and wireless communication technologies, an

increasing number of users tend to download contents

on mobile devices, such as reading articles and

watching videos on phones and tablets. The mobile

Internet traffic has been explosively growing with the

increasing demand for massive content distribution and

large amounts of media resources. This sudden growth

of traffic load poses a significant burden and thus

challenge for current infrastructure of Internet service

providers (SPs); particularly, the enormous amount of

mobile traffic poses significant pressure on current

mobile networks, especially the radio access network

and the backhaul network.

This ever-increasing traffic load becomes a serious

concern of mobile network operators (MNOs), but

studies in [1] [2] and [3] have pointed out that a large

portion of the traffic load is due to the downloads of

the same popular files. For instance, top 10% of videos

in YouTube account for nearly 80% of all the views

[2].

Therefore, the networking devices in the radio access

networks and backbone networks of mobile operators

have to suffer from sending the same files at multiple

times unnecessarily.

At present, effective ways of reducing mobile

traffic load are highly desired. Indeed, despite the

continuous efforts of MNOs and network equipment

vendors to enhance the wireless link bandwidth by

adopting sophisticated techniques at both the physical

(PHY) layer and medium access control (MAC) layers

in Long Term Evolution (LTE) and LTE-Advanced

systems, such as massive multiple-input multiple-

output (MIMO), carrier aggregation, and coordinated

multipoint (CoMP) transmission, the utilization

efficiency of the radio spectrum is notably reaching its

theoretical cap.

Among many emerging techniques and novel

proposals, efficient content caching has drawn an

increasing attention and is regarded as an effective

method for reducing the duplicated downloads via the

backbone networks and cellular links, as caching

popular contents inside the mobile networks can

significantly reduce the duplicated transmissions of

files among and within MNOs while offering a better

service quality (e.g., delay) to mobile users. Note that

throughout this paper, we will use “SP” and “MNO”

interchangeably as they are mostly the same entity in

many countries.

Moreover, both academia and industry have been

investigating effective ways to reduce the duplicate

content transmissions by adopting intelligent caching

strategies inside the mobile networks, and enabling

mobile users to access popular contents from caches of

nearby MNO gateways (e.g., using selective IP traffic

offload techniques [4]). From the perspective of

MNOs, this also helps reduce traffic exchanged inter-

and intra-SPs [5], not to mention significant reduction

in the response time required to fetch a content file.

Thus, the impact of Internet traffic dynamics on

variation of the response latency can be eliminated.

2015 48th Hawaii International Conference on System Sciences

DOI 10.1109/HICSS.2015.635

5404

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