Article (Scientific journals)
Energy Minimization for Cache-Assisted Content Delivery Networks With Wireless Backhaul
Vu, Thang Xuan; Chatzinotas, Symeon; Ottersten, Björn et al.
2018In IEEE Wireless Communications Letters, 7 (3), p. 332 - 335
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Keywords :
Edge caching; wireless backhaul; Energy efficiency
Abstract :
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 letter, 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 and users are capable of storing content data in their local cache. Specifically, we analyze 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.
Disciplines :
Computer science
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.
External co-authors :
yes
Language :
English
Title :
Energy Minimization for Cache-Assisted Content Delivery Networks With Wireless Backhaul
Publication date :
June 2018
Journal title :
IEEE Wireless Communications Letters
ISSN :
2162-2345
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), Piscataway, United States - New Jersey
Volume :
7
Issue :
3
Pages :
332 - 335
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
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since 09 January 2019

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