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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Engels, A. Reyer, M. Steiger, A. Mathar, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Inst. for Theor. Inf. Technol., RWTH Aachen Univ., Aachen, Germany (Engels, A.; Reyer, M.; Steiger, A.; Mathar, R.) |
| Abstract | Common approaches for partitioning cell site planning problems into smaller instances typically suffer from the lack of knowledge about the number of clusters k that is appropriate for the particular problem. When applying an iterative processing over methods such as the k-means algorithm or the related k-medoids approach to determine the optimum k, the computational effort can be higher than solving the original problem instance directly. This is particularly the case if the optimum k is small, which happens most likely in urban environments where the user density and the number of cells are high. In this paper, we propose a graph-based method using minimum cut operations to partition a planning instance automatically into an appropriate number of k sub-problems. We demonstrate the benefits of this approach by numerical evaluation of exemplary application to the problem of planning LTE cell site locations in an urban environment. |
| Sponsorship | IEEE Commun. Soc. |
| Starting Page | 515 |
| Ending Page | 520 |
| File Size | 1276391 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467331319 |
| e-ISBN | 9781467331333 |
| DOI | 10.1109/CCNC.2013.6488492 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Planning Interference Bandwidth Computer architecture Microprocessors Clustering algorithms Partitioning algorithms interference modeling LTE network planning graph theory multi-objective optimization |
| Content Type | Text |
| Resource Type | Article |
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