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Energy Minimization for Cache-Assisted Content Delivery Networks With Wireless Backhaul
University of Luxembourg, Luxembourg City, 1855, Luxembourg. (Signal Processing)ORCID-id: 0000-0003-2298-6774
2018 (Engelska)Ingår i: IEEE Wireless Communications Letters, ISSN 2162-2337, E-ISSN 2162-2345, Vol. 7, nr 3, s. 332-335Artikel i tidskrift (Refereegranskat) Published
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 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.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 7, nr 3, s. 332-335
Nyckelord [en]
Content distribution networks;Energy consumption;Minimization;Quality of service;Throughput;Wireless communication;Edge caching;energy efficiency;optimization;wireless backhaul
Nationell ämneskategori
Signalbehandling
Identifikatorer
URN: urn:nbn:se:kth:diva-258980DOI: 10.1109/LWC.2017.2776924ISI: 000436010400013Scopus ID: 2-s2.0-85035778425OAI: oai:DiVA.org:kth-258980DiVA, id: diva2:1350503
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QC 20190912

Tillgänglig från: 2019-09-11 Skapad: 2019-09-11 Senast uppdaterad: 2019-09-12Bibliografiskt granskad

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Ottersten, Björn
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