Statistical Propagation Models is a type of propagation model that characterizes signal attenuation in wireless communication environments through empirical data and probabilistic methods, distinguishing it from deterministic models by relying on statistical analysis of measurement campaigns rather than explicit physical or geometric representations of the propagation medium.
979
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771
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2017–2026
181
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979
1–5 of 979
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2.3K
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15
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10
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771
AT&T (United States)
Bedminster, United States
17 h-index
37 publications
20.3K citations
Beijing Jiaotong University
Beijing, China
14 h-index
59 publications
3.3K citations
University of Southern California
Los Angeles, United States
12 h-index
19 publications
1.3K citations
Orange (France)
Paris, France
12 h-index
29 publications
1.1K citations
Virginia Tech
Blacksburg, United States
12 h-index
32 publications
5.3K citations
TU Wien
Vienna, Austria
12 h-index
27 publications
2.2K citations
University of Bristol
Bristol, United Kingdom
11 h-index
30 publications
1.4K citations
University of Edinburgh
Edinburgh, United Kingdom
11 h-index
26 publications
1.5K citations
1–8 of 771
Venues
- IEEE Transactions on Vehicular Technology
97 publications · 9.4K citations
46
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- IEEE Transactions on Antennas and Propagation
37 publications · 3.3K citations
28
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- IEEE Transactions on Communications
40 publications · 3.9K citations
28
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- IEEE Transactions on Wireless Communications
34 publications · 2.1K citations
24
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- IEEE Journal on Selected Areas in Communications
23 publications · 11.8K citations
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