New analytical models and probability density functions for fading in wireless communications
By G. Durgin, Theodore Ted S. Rappaport, D. A. Wolf. IEEE Transactions on Communications, 2002
381 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/07ecb9539b015355a825bb18f758f9fbca3c33e5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Joey Wilson
- Petar Popovski
- Neal Patwari
- Marko Angjelichinoski
- Kasper Fløe Trillingsgaard
- Medhi Bennis
- Hiroyuki Yomo
- Jihong Park
In Electrical and Electronic Engineering
- Joey Wilson
- Neal Patwari
- Kasper Fløe Trillingsgaard
- Marko Angjelichinoski
- Petar Popovski
- Medhi Bennis
- Zimu Zhou
- Jihong Park
Citations in the corpus
- See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks (2011, background): “The complex baseband voltage for a continuous-wave (CW) signal measured at a receiver is expressed as [19]”
- A Statistical Learning Approach to Ultra-Reliable Low Latency Communication (2018, methodology): “Rician channel: The Rician channel is an extension of the Rayleigh fading model, featuring an additional specular component [10], [13].”