Abstract
While the effect of rainfall and other environmental phenomena on a link budget in microwave wireless communication has been well studied for network design, it has usually been done for each microwave-link separately. Recently, attenuation in multiple microwave-links is being used simultaneously for rainfall mapping over specific areas, and consequently, rain-induced attenuation fields can be constructed. Dedicated algorithms have been designed to relate attenuation in multiple microwave-links to its corresponding rain-field. Their performance depends significantly on the structure of the network. As the topology of a cellular microwave network (CMNs) is region-dependent, general theory for its effect on performance can only be developed statistically. In this paper we study the statistical nature of CMNs and lay the groundwork for such models based on empirical results.
Original language | English |
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Article number | 75 |
Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Environments - MDPI |
Volume | 5 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2018 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Cellular microwave-links
- Network statistics
- Non-linear regression
- Rain-field estimation
- Rainfall mapping