The DOI matches its Crossref record.
Channel occupancy time distribution in a cellular radio system
Abstract
The distribution of the channel occupancy time in a cellular radio system is studied, namely, the distribution of the time spent by customers on one frequency channel within a given cell. Two approaches are used. The first one relies on a computer simulation allowing a general model for mobiles behavior. The second is analytical, and assume a simplified system where mobiles keep constant directions. The results of both methods are compared with a fitted exponential distribution, and excellent agreements are found for most practical situations. In addition, a simple expression giving the average number of handoffs for a random customer is obtained. The results derived in this paper provide useful and simple tools to analyze cellular systems.
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Cited by
Towards realistic mobility models for mobile ad hoc networks
Jardosh, A., Belding-Royer, E. M., Almeroth, K. C., & Suri, S. (2003) · Proceedings of the 9th annual international conference on Mobile computing and networking · doi:10.1145/938985.939008 · Cited by 594
A Self-Learning Call Admission Control Scheme for CDMA Cellular Networks
Liu, D., Zhang, Y., & Zhang, H. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2005.853408 · Cited by 162
Metadata
- Authors
- Guerin, R. A.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 1987-08
- Volume
- 36
- Issue
- 3
- Pages
- 89-99
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2133512300
- Cited by
- 436
- References
- 0
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Channel occupancy time distribution in a cellular radio system. https://app.cochat.ai/papers/10.1109/t-vt.1987.24106
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- Guerin, R. A. (1987). Channel occupancy time distribution in a cellular radio system. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/t-vt.1987.24106
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
