Six time- and frequency- selective empirical channel models for vehicular wireless LANs

By Guillermo Acosta-Marum, Mary Ann Ingram. IEEE Vehicular Technology Magazine, 2007

399 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2aefd7935573889844a709aad26988c1a573b5c3

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

1. Christoph F. Mecklenbräuker
2. Andreas F. Molisch
3. Fredrik Tufvesson
4. Athanasios V. Vasilakos
5. Johan Karedal
6. Cheng-Xiang Wang
7. Thomas Zemen
8. Nicolai Czink

In Electrical and Electronic Engineering

1. Andreas F. Molisch
2. Cheng-Xiang Wang
3. Jian Sun
4. Fredrik Tufvesson
5. Minggao Zhang
6. Wensheng Zhang
7. Ji Bian
8. Christoph F. Mecklenbräuker

Citations in the corpus

• A geometry-based stochastic MIMO model for vehicle-to-vehicle communications (2009, methodology): “For the VTV channel, a tapped delay-Doppler profile model was developed by Ingram and coworkers [15], [16] and also adopted by the”
• A Survey of 5G Channel Measurements and Models (2018, methodology): “The early TDL-based V2V models were developed based on a series of measurements in cities and highways by Acosta-Marum and Ingram [123]–[126].”
• An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels (2009, methodology): “M2M channel models available in the literature can be categorized as deterministic models [10] and stochastic model s, while the latter can be further classified as non-geometrica l stochastic models (NGSMs) (also known as parametric models) [6] and geometry-based stochastic models (GBSMs) [11] – [1”
• A survey on vehicle-to-vehicle propagation channels (2009, methodology): “employ the 6- and 12-tap models developed by Ingram and coworkers [16, 25] in different types of environments.”