The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Spatial Stochastic Models and Metrics for the Structure of Base Stations in Cellular Networks
Abstract
The spatial structure of base stations (BSs) in cellular networks plays a key role in evaluating the downlink performance. In this paper, different spatial stochastic models (the Poisson point process (PPP), the Poisson hard-core process (PHCP), the Strauss process (SP), and the perturbed triangular lattice) are used to model the structure by fitting them to the locations of BSs in real cellular networks obtained from a public database. We provide two general approaches for fitting. One is fitting by the method of maximum pseudolikelihood. As for the fitted models, it is not sufficient to distinguish them conclusively by some classical statistics. We propose the coverage probability as the criterion for the goodness-of-fit. In terms of coverage, the SP provides a better fit than the PPP and the PHCP. The other approach is fitting by the method of minimum contrast that minimizes the average squared error of the coverage probability. This way, fitted models are obtained whose coverage performance matches that of the given data set very accurately. Furthermore, we introduce a novel metric, the deployment gain, and we demonstrate how it can be used to estimate the coverage performance and average rate achieved by a data set.
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Stochastic Geometry and its Applications
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A Tractable Approach to Coverage and Rate in Cellular Networks
Andrews, J. G., Baccelli, F., & Ganti, R. K. (2011) · IEEE Transactions on Communications · doi:10.1109/tcomm.2011.100411.100541 · Cited by 3,170
Stochastic Geometry for Wireless Networks
Haenggi, M. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139043816 · Cited by 2,438
Self-citationspatstat: An R Package for Analyzing Spatial Point Patterns
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Stochastic geometry and random graphs for the analysis and design of wireless networks
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Self-citationCostello, D. J., & Shu, L. (2004) · Cited by 1,564
1Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks
Dhillon, H. S., Member, S., Ganti, R. K., et al. (2012) · Cited by 1,372
Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks
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ElSawy, H., & Hossain, E. (2014) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2014.2316519 · Cited by 270
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Metadata
- Authors
- Guo, A., & Haenggi, M.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2013-11
- Volume
- 12
- Issue
- 11
- Pages
- 5800-5812
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W2167353407
- Cited by
- 286
- References
- 19
- FWCI
- 77.97
- Type
- journal article
- Language
- en
- Open access
- closed
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