MA4a.4

Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI

Sravan Ankireddy, Heasung Kim, Hyeji Kim, University of Texas at Austin, United States
Session:
MA4a: Machine Learning for Communications and Networking Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Nautilus
Presentation Time:
Mon, 27 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA4a
MA4a.1: Accelerated Generative Multi-Agent Q-Learning for Wireless Networks
Ruveyda Menevse, Talha Bozkus, Urbashi Mitra, University of Southern California, United States
MA4a.2: A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking
Zhongyuan Zhao, Yujun Ming, Rice University, United States; Kevin Chan, Ananthram Swami, DEVCOM Army Research Laboratory, United States; Santiago Segarra, Rice University, United States
MA4a.3: Multi-Worker Selection Based Distributed Swarm Learning Over The Air
Zhuoyu Yao, Yue Wang, Georgia State University, United States; Songyang Zhang, University of Louisiana at Lafayette, United States; Yingshu Li, Zhipeng Cai, Zhi Tian, Georgia State University, United States
MA4a.4: Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI
Sravan Ankireddy, Heasung Kim, Hyeji Kim, University of Texas at Austin, United States
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