Vehicle–Vehicle Channel Models for the 5-GHz Band
By Indranil Sen, David W. Matolak. IEEE transactions on intelligent transportation systems (Print), 2008
457 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/aedaaf59d396c0183bb7a208ec30eb6541a520ce
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In Electrical and Electronic Engineering
- Andreas F. Molisch
- Cheng-Xiang Wang
- Jian Sun
- Fredrik Tufvesson
- Minggao Zhang
- Wensheng Zhang
- Ji Bian
- P. Dobbins
Citations in the corpus
- Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks (2011, background): “Extensive measurement campaigns reported in [23] analyzed urban, suburban, and highway environments with two levels of traffic density (high and low).”
- A survey on vehicle-to-vehicle propagation channels (2009, methodology): “Reference [8] fitted the measurement results to a Weibull distribution, whereas [23] fitted data to Weibull and Nakagami distributions.”
- A Survey of 5G Channel Measurements and Models (2018, methodology): “However, the measurements in [31] performed in highways and cities indicated that fading amplitudes of V2V channels are better fitted with the Weibull distribution than the Nakagami distribution.”
- Path Loss Modeling for Vehicle-to-Vehicle Communications (2011, unknown): “[ 6 ] R. Liu, P. Spasojevic, and E. Soljanin, “Incremental redundancy coop-”
- A Survey of Channel Modeling for UAV Communications (2018, methodology): “However, empirical studies have not yet been initiated for development of statistical channel model based on Weibull distribution, as for vehicle–to–vehicle channel modeling [82].”