Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90292
Title: Caching efficiency enhancement at wireless edges with concerns on user’s quality of experience
Authors: Li, Feng
Lam, Kwok-Yan
Wang, Li
Na, Zhenyu
Liu, Xin
Pan, Qing
Keywords: Content Caching
Wireless Edges
DRNTU::Engineering::Computer science and engineering
Issue Date: 2018
Source: Li, F., Lam, K.-Y., Wang, L., Na, Z., Liu, X., & Pan, Q. (2018). Caching efficiency enhancement at wireless edges with concerns on user’s quality of experience. Wireless Communications and Mobile Computing, 2018, 1680641-. doi:10.1155/2018/1680641
Series/Report no.: Wireless Communications and Mobile Computing
Abstract: Content caching is a promising approach to enhancing bandwidth utilization and minimizing delivery delay for new-generation Internet applications. The design of content caching is based on the principles that popular contents are cached at appropriate network edges in order to reduce transmission delay and avoid backhaul bottleneck. In this paper, we propose a cooperative caching replacement and efficiency optimization scheme for IP-based wireless networks. Wireless edges are designed to establish a one-hop scope of caching information table for caching replacement in cases when there is not enough cache resource available within its own space. During the course, after receiving the caching request, every caching node should determine the weight of the required contents and provide a response according to the availability of its own caching space. Furthermore, to increase the caching efficiency from a practical perspective, we introduce the concept of quality of user experience (QoE) and try to properly allocate the cache resource of the whole networks to better satisfy user demands. Different caching allocation strategies are devised to be adopted to enhance user QoE in various circumstances. Numerical results are further provided to justify the performance improvement of our proposal from various aspects.
URI: https://hdl.handle.net/10356/90292
http://hdl.handle.net/10220/48483
ISSN: 1530-8669
DOI: 10.1155/2018/1680641
Rights: © 2018 Feng Li et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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