M1.R2.5
Generative Diffusion Models for Resource Allocation in Wireless Networks
Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti, Alejandro Ribeiro, University of Pennsylvania, United States
Session:
M1.R2: Robust, Resilient and Reliable NextGen Wireless Communications Lecture
Track:
Special Sessions
Location:
Isabela II
Presentation Time:
Mon, 15 Dec, 11:40 - 12:00 AST (UTC -4)
Session Co-Chairs:
Dionysis Kalogerias, Yale University and Gokberk Yaylali, Yale University
Session M1.R2
M1.R2.1: Waterfilling at the Edge: Optimal Percentile Resource Allocation via Risk-Averse Reduction
Gokberk Yaylali, Yale University, United States; Ahmad Ali Khan, Ericsson, Canada; Dionysis Kalogerias, Yale University, United States
M1.R2.2: Efficient Fully-Digital Beamformer for Very-Large Non-Uniform Arrays using Hexagonal Transformations
Juan Carlos Merlano Duncan, Juan Andres Vasquez-Peralvo, Vibhum Singh, Vu-Nguyen Ha, Luis Manuel Garces-Socarras, Ti Nguyen, Raudel Cuiman Marquez, Jorge Luis Gonzalez-Rios, Symeon Chatzinotas, Bjorn Ottersten, SNT University of Luxembourg, Luxembourg
M1.R2.3: Advancing Vision-Aided Beam Prediction: Knowledge Distillation Meets Active Learning
Gouranga Charan, Arizona State University, United States; Nhan Thanh Nguyen, University of Oulu, Finland; Ahmed Alkhateeb, Arizona State University, United States
M1.R2.4: Virtual Arrays for ISAC MIMO OTFS Systems with Rectangular Pulses
Kailong Wang, Athina Petropulu, Rutgers University, United States
M1.R2.5: Generative Diffusion Models for Resource Allocation in Wireless Networks
Yigit Berkay Uslu, Samar Hadou, Shirin Saeedi Bidokhti, Alejandro Ribeiro, University of Pennsylvania, United States
Contacts