University Events

Description: Topic: mmWave Beamforming for Connected and Autonomous Vehicles

Location: Lester W. Cory Conference Room
Science & Engineering Building (SENG), Room 213A

Zoom Conference Link: https://umassd.zoom.us/j/94006721699
Meeting ID: 940 0672 1699
Passcode: 038012

Abstract:
Connected and autonomous vehicles (CAVs) will revolutionize tomorrow's intelligent transportation systems, being considered promising to improve transportation safety, traffic efficiency, and mobility. Envisioned use cases of CAVs demand high throughput, lower latency, highly reliable communications, and precise positioning capabilities. The availability of a large spectrum at millimeter-wave (mmWave) band potentially promotes new specifications in spectrum technologies capable of supporting such service requirements. This study focuses on how mmWave communications are being approached in vehicular standardization activities, CAVs use cases and deployment challenges in realizing the future fully connected settings. I also conducted a detailed performance assessment on mmWave-enabled vehicle-to-vehicle (V2V) cooperative perception as an example case study to show the impact of different configurations. Finally, I will present a new position-aware 60 GHz mmWave beamforming for V2V communications utilizing deep learning.

Co-Advisor(s):
Dr. Honggang Wang, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Hua Fang, Professor, Department of Computer & Information Science, UMASS Dartmouth

Committee Members:
Dr. Mohammad A. Karim, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Liudiong Xing, Professor & Graduate Program Director, Department of Electrical & Computer Engineering,
UMASS Dartmouth

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

*For further information, please contact Dr. Honggang Wang via email at hwang1@umassd.edu