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SEQUENCE:1
X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
235026
20260422T142407Z
DTSTART;TZID=America/New_York:20260430T090000
DTEND;TZID=America/New_York:2
 0260430T110000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/ece-m
 s-thesis-presentation-tatiana-dragun
ECE MS Thesis Presentation by: Tatiana Dragun
\n\nImage\n  \n\n\n\n\nTitle:\nReal-Time Wireless Digital Channel Emulation
  for Autonomous Vehicle Experimentation\nAbstract:\nAutonomous vehicle net
 works require reliable wireless communication that can be validated under 
 realistic, controlled conditions. This thesis presents a real-time digital
  wireless channel emulation framework for multi-vehicle connectivity, prov
 iding a repeatable and controllable environment relative to real-world fie
 ld trials. Leveraging the Keysight PROPSIM F64 hardware emulator, the prop
 osed framework replicates dynamic vehicular environments by incorporating 
 signal phenomena such as reflection, scattering, and Doppler shifts. Witho
 ut loss of generality, the proposed research employs both Bluetooth Low En
 ergy (BLE) and 5G physical layer, link layer, and networking layer standar
 ds to ensure relevance to modern deployments. By utilizing the PROPSIM GUI
 , a scalable emulation setup was developed to test multiple mobile station
 s across various propagation scenarios. Validation was performed via a com
 parison of GUI metrics, power measurements, and reference field data from 
 literature. The results demonstrate that the proposed framework effectivel
 y reproduces realistic channel behavior, offering a high-fidelity, efficie
 nt platform for the validation of autonomous vehicle communication systems
 .\n\nResearch Advisor:\nProf. Alex Wyglinski\nECE Department, WPI\n\nResea
 rch Committee:\nProf. Bo Tang\nECE Department, WPI\nMichael Craton\nMIT Li
 ncoln Labs\n\n
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