2022 IEEE Latin-American Conference on Communications (LATINCOM) 2022
DOI: 10.1109/latincom56090.2022.10000783
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Ray-Tracing MIMO Channel Dataset for Machine Learning Applied to V2V Communication

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Cited by 1 publication
(2 citation statements)
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“…2 results show that Sionna's performance is ten times faster than WI simulations. Collecting the info from both WI and Sionna and calculates the Multiple-Input Multiple-Output (MIMO) channels, then it was calculated the Normalized Mean Square Error (NMSE) from the channels, such as in [4], using the WI as channel reference. Since Sionna does not provide the channel phase, we adopted a random uniform phase.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…2 results show that Sionna's performance is ten times faster than WI simulations. Collecting the info from both WI and Sionna and calculates the Multiple-Input Multiple-Output (MIMO) channels, then it was calculated the Normalized Mean Square Error (NMSE) from the channels, such as in [4], using the WI as channel reference. Since Sionna does not provide the channel phase, we adopted a random uniform phase.…”
Section: Resultsmentioning
confidence: 99%
“…When Raymobtime was proposed, ray-tracing was solely based in Wireless InSite (WI), with real world scenarios and mobile scatters thereby pursuing a heightened accuracy. WI is a robust software commercialized by Remcom, which has its results validated by several works [4].…”
Section: Introductionmentioning
confidence: 99%