Date of Defense
15-4-2025 2:00 PM
Location
F1-1164
Document Type
Thesis Defense
Degree Name
Master of Science in Electrical Engineering (MSEE)
College
COE
Department
Electrical and Communication Engineering
First Advisor
Dr. Nasir Saeed
Keywords
Integrated Sensing and Communication (ISAC), platooning, millimeter-Waves (mmWaves), smart intersections
Abstract
The rapid advancement of self-driving cars is reshaping the transportation industry and accelerating the development of smart cities. Vehicle platooning, a key capability of autonomous vehicles, has the potential to enhance traffic efficiency, reduce congestion, and improve safety at intersections. However, maintaining platoon cohesion, minimizing latency, and optimizing traffic signal interactions remain significant challenges. This study addresses these issues by leveraging Integrated Sensing and Communication (ISAC) technology with millimeter-Waves (mmWaves) signals to optimize platooning performance at traffic signal intersections. The research identifies gaps in existing Vehicle-to-Everything (V2X) communication frameworks, particularly in managing platoon movements in urban traffic intersections. To bridge these gaps, a novel algorithm is proposed to enhance the coordination of vehicle platoons through an intelligent traffic signal system. The capabilities of ISAC-based mmWaves communication are evaluated through key metrics, including latency, throughput, and bit error rate (BER), under varying modulation schemes (M-PSK, M-QAM). Results demonstrate that ISAC technology significantly improves intersection management by reducing clearance times, strengthening platoon stability, and mitigating accident risks. These findings highlight the transformative impact of ISAC-driven communication on urban mobility, offering a scalable and efficient solution for future smart city applications.
Included in
Smart Traffic Intersections: Leveraging ISAC and Millimeter-Waves for Advanced Vehicle Platooning
F1-1164
The rapid advancement of self-driving cars is reshaping the transportation industry and accelerating the development of smart cities. Vehicle platooning, a key capability of autonomous vehicles, has the potential to enhance traffic efficiency, reduce congestion, and improve safety at intersections. However, maintaining platoon cohesion, minimizing latency, and optimizing traffic signal interactions remain significant challenges. This study addresses these issues by leveraging Integrated Sensing and Communication (ISAC) technology with millimeter-Waves (mmWaves) signals to optimize platooning performance at traffic signal intersections. The research identifies gaps in existing Vehicle-to-Everything (V2X) communication frameworks, particularly in managing platoon movements in urban traffic intersections. To bridge these gaps, a novel algorithm is proposed to enhance the coordination of vehicle platoons through an intelligent traffic signal system. The capabilities of ISAC-based mmWaves communication are evaluated through key metrics, including latency, throughput, and bit error rate (BER), under varying modulation schemes (M-PSK, M-QAM). Results demonstrate that ISAC technology significantly improves intersection management by reducing clearance times, strengthening platoon stability, and mitigating accident risks. These findings highlight the transformative impact of ISAC-driven communication on urban mobility, offering a scalable and efficient solution for future smart city applications.