TP6a1.1

Deep Reinforcement Learning for Secure MEC Service in Vehicular Networks with Reconfigurable Intelligent Surfaces

Haoyu Wang, University of California, Irvine, United States; Haowen Bai, Ying Ju, Xidian University, China; Lee Swindlehurst, University of California, Irvine, United States
Session:
TP6a1: Automotive Radar (Invited) Poster
Track:
Array Processing and Multisensor Systems
Location:
Kiln
Presentation Time:
Tue, 31 Oct, 13:30 - 15:10 PT (UTC -8)
Session Co-Chairs:
Ryan Wu, NXP Semiconductors and Shunqiao Sun, University of Alabama
Presentation
Discussion
Resources
No resources available.
Session TP6a1
TP6a1.1: Deep Reinforcement Learning for Secure MEC Service in Vehicular Networks with Reconfigurable Intelligent Surfaces
Haoyu Wang, University of California, Irvine, United States; Haowen Bai, Ying Ju, Xidian University, China; Lee Swindlehurst, University of California, Irvine, United States
TP6a1.2: 4D Automotive Radar Exploiting Sparse Array Optimization and Compressive Sensing
Ruxin Zheng, Shunqiao Sun, The University of Alabama, United States; Wesley Kuo, Theagenis Abatzoglou, Matt Markel, Spartan Radar, United States
TP6a1.3: SAR on the Wheels: High-Resolution Synthetic Aperture Radar Sensing on Moving Vehicles
Kun Qian, Xinyu Zhang, University of California San Diego, United States
TP6a1.4: Generalized Optimization of Sparse Antenna Arrays for High-Resolution Automotive Radar Imaging
Lifan Xu, Shunqiao Sun, The University of Alabama, United States; Ryan Wu, Dongyin Ren, Jun Li, NXP Semiconductors, United States
TP6a1.5: High-Speed Moving Target Parameter Estimation for One-Bit MIMO PMCW Automotive Radar
Jiaying Ren, Chao-Yi Wu, Jian Li, Tan F. Wong, University of Florida, United States
TP6a1.6: Ambiguity Function Shaping in FMCW Automotive Radar
Zahra Esmaeilbeig, University of Illinois at Chicago, United States; Arindam Bose, KMB Telematics, United States; Mojtaba Soltanalian, University of Illinois at Chicago, United States
Contacts