A survey of caching techniques in cellular networks: research issues and challenges in content placement and delivery strategies

Li, L. , Zhao, G. and Blum, R. S. (2018) A survey of caching techniques in cellular networks: research issues and challenges in content placement and delivery strategies. IEEE Communications Surveys and Tutorials, 20(3), pp. 1710-1732. (doi: 10.1109/COMST.2018.2820021)

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Mobile data traffic is currently growing exponentially and these rapid increases have caused the backhaul data rate requirements to become the major bottleneck to reducing costs and raising revenue for operators. To address this problem, caching techniques have attracted significant attention since they can effectively reduce the backhaul traffic by eliminating duplicate data transmission that carries popular content. In addition, other system performance metrics can also be improved through caching techniques, e.g., spectrum efficiency, energy efficiency, and transmission delay. In this paper, we provide a systematical survey of the state-of-the-art caching techniques that were recently developed in cellular networks, including macro-cellular networks, heterogeneous networks, device-to-device networks, cloud-radio access networks, and fog-radio access networks. In particular, we give a tutorial on the fundamental caching techniques and introduce caching algorithms from three aspects, i.e., content placement, content delivery, and joint placement and delivery. We provide comprehensive comparisons among different algorithms in terms of different performance metrics, including throughput, backhaul cost, power consumption, and network delay. Finally, we summarize the main research achievements in different networks, and highlight main challenges and potential research directions.

Item Type:Articles
Additional Information:Funding Agency: 10.13039/501100001809-National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; 10.13039/100006754-Army Research Laboratory; 10.13039/100000183-Army Research Office; 10.13039/100000001-National Science Foundation;
Glasgow Author(s) Enlighten ID:Zhao, Dr Guodong and Li, Dr Emma
Authors: Li, L., Zhao, G., and Blum, R. S.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Communications Surveys and Tutorials
ISSN (Online):1553-877X
Published Online:28 March 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Communications Surveys and Tutorials 20(3):1710-1732
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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