Energy Minimization for Cache-assisted Content Delivery Networks with Wireless Backhaul

Vu, Thang Xuan; Chatzinotas, Symeon; Ottersten, Björn; Duong, Trung Q.

Reference : Energy Minimization for Cache-assisted Content Delivery Networks with Wireless Backhaul


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/33804

Title :	Energy Minimization for Cache-assisted Content Delivery Networks with Wireless Backhaul
Language :	English
Author, co-author :	Vu, Thang Xuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Duong, Trung Q. []
Publication date :	Nov-2017
Journal title :	IEEE Wireless Communications Letters
Publisher :	Institute of Electrical and Electronics Engineers (IEEE)
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	2162-2337
e-ISSN :	2162-2345
City :	Piscataway
Country :	NJ
Keywords :	[en] Edge caching ; Energy efficiency ; wireless backhaul
Abstract :	[en] Content caching is an efficient technique to reduce delivery latency and system congestion during peak-traffic time by bringing data closer to end users. In this paper, we investigate energy-efficiency performance of cache-assisted content delivery networks with wireless backhaul by taking into account cache capability when designing the signal transmission. We consider multi-layer caching and the performance in cases when both base station (BS) and users are capable of storing content data in their local cache. Specifically, we analyse energy consumption in both backhaul and access links under two uncoded and coded caching strategies. Then two optimization problems are formulated to minimize total energy cost for the two caching strategies while satisfying some given quality of service constraint. We demonstrate via numerical results that the uncoded caching achieves higher energy efficiency than the coded caching in the small user cache size regime.
Permalink :	http://hdl.handle.net/10993/33804

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