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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dufková, K. Bjelica, M. Byongkwon Moon Kencl, L. Le Boudec, J.-Y. |
| Copyright Year | 2010 |
| Description | Author affiliation: Faculty of Electrical Engineering (ETF), University of Belgrade, Bulevar kralja Aleksandra 73, 11120 Belgrade, Serbia (Bjelica, M.) || R&D Centre for Mobile Applications (RDC), Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic (Dufková, K.; Kencl, L.) || Ecole Polytechnique Fédérale de Lausanne, EPFL, CH-1015 Lausanne, Switzerland (Byongkwon Moon; Le Boudec, J.-Y.) |
| Abstract | We present a concrete methodology for saving energy in future and contemporary cellular networks. It is based on re-arranging the user-cell association so as to allow shutting down under-utilized parts of the network. We consider a hypothetical static case where we have complete knowledge of stationary user locations and thus the results represent an upper bound of potential energy savings. We formulate the problem as a binary integer programming problem, thus it is NP-hard, and we present a heuristic approximation method. We simulate the methodology on an example real cellular network topology with traffic-and user distribution generated according to recently measured patterns. Further, we evaluate the energy savings, using realistic energy profiles, and the impact on the user-perceived network performance, represented by delay and throughput, at various times of day. The general findings conclude that up to 50% energy may be saved in less busy periods, while the performance effects remain limited. We conclude that practical, real-time user-cell re-allocation methodology, taking into account user mobility predictions, may thus be feasible and bring significant energy savings at acceptable performance impact. |
| Starting Page | 916 |
| Ending Page | 923 |
| File Size | 2888923 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424459995 |
| e-ISBN | 9781424460014 |
| DOI | 10.1109/EW.2010.5483431 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-12 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Potential energy Telecommunication traffic Linear programming Throughput cellular network Approximation methods Upper bound Network topology Land mobile radio cellular systems optimization energy efficiency Traffic control Concrete |
| Content Type | Text |
| Resource Type | Article |
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