TP4a.3

A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction using Deep Gaussian Process

Xiang Zhang, Yanyu Hu, University of Utah, United States; Imtiaz Nasim, Shannon Eggers, Vivek Agarwal, Amitabh Mishra, Joshua Daw, Arupjyoti Bhuyan, Idaho National Laboratory, United States; Sneha Kasera, Mingyue Ji, University of Utah, United States
Session:
TP4a: Machine Learning for Communications Lecture
Track:
Communication Systems
Location:
Nautilus
Presentation Time:
Tue, 29 Oct, 14:20 - 14:45 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TP4a
TP4a.1: AI-assisted link adaptation: Predicting hybrid automatic repeat request success
Emre Gonultas, Swathi Dhandhapani, Stefan Adalbjörnsson, Zaigham Kazmi, Ericsson Inc., United States
TP4a.2: Average Reward Reinforcement Learning for Wireless Radio Resource Management
Kun Yang, University of Virginia, United States; Jing Yang, The Pennsylvania State University, United States; Cong Shen, University of Virginia, United States
TP4a.3: A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction using Deep Gaussian Process
Xiang Zhang, Yanyu Hu, University of Utah, United States; Imtiaz Nasim, Shannon Eggers, Vivek Agarwal, Amitabh Mishra, Joshua Daw, Arupjyoti Bhuyan, Idaho National Laboratory, United States; Sneha Kasera, Mingyue Ji, University of Utah, United States
TP4a.4: Robust Antenna Parameter Optimization in Cellular Networks via Adversarial Machine Learning
Ezgi Tekgul, The University of Texas at Austin, United States; Salam Akoum, AT&T Labs, United States; Jeffrey Andrews, The University of Texas at Austin, United States
Contacts