DocumentCode
2145201
Title
Joint caching and base station activation for green heterogeneous cellular networks
Author
Poularakis, Konstantinos ; Iosifidis, George ; Tassiulas, Leandros
Author_Institution
Electrical & Computer Engineering Department, University of Thessaly, Greece
fYear
2015
fDate
8-12 June 2015
Firstpage
3364
Lastpage
3369
Abstract
Heterogeneous cellular networks that overlay cache-endowed small-cell networks with macro-cell networks have emerged as a promising solution towards ultra-low latency, extra-high throughput, and sub-multiple energy consumption compared to the conventional cellular paradigm. A technique to further improve the energy efficiency of such multi-tier networks is to apply activation mechanisms, that dynamically power on/off a subset of the small-cells and macro-cells. In this work, we show that the activation policy should be jointly derived with the caching policy, that places popular content files at the base station caches. As a result content is fetched effectively closer to the mobile end-users and can be transported via energy-prudent links, while at the same time as many as possible of the base stations are powered off. We then formulate the energy-minimizing problem, which is NP-hard, and introduce a novel approximation framework for its efficient solution. Numerical results, that are based on system parameters driven from real trace datasets, show that our approach provides an excellent performance that is far better than the schemes that perform caching and base station activation in a disjoint manner.
Keywords
Approximation algorithms; Approximation methods; Base stations; Energy consumption; Mobile communication; Mobile computing; Wireless communication; Base station activation; Content caching; Energy efficiency; Heterogeneous cellular networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2015 IEEE International Conference on
Conference_Location
London, United Kingdom
Type
conf
DOI
10.1109/ICC.2015.7248844
Filename
7248844
Link To Document