MA7a.4

Dynamic Power Control in Multi-Cell Networks: A Robust Multi-Agent Reinforcement Learning Approach

Xinrui Ye, Joohyun Cho, University of Utah, United States; Yi Zhou, Texas A&M University, United States; Rong-Rong Chen, University of Utah, United States
Session:
MA7a: From Modulation to Power Control: AI-Driven Wireless System Optimization Lecture
Track:
Communication Systems
Location:
Room 7
Presentation Time:
Mon, 27 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA7a
MA7a.1: NTF-OFDM: Robust Neural Modulation for High Mobility
Sravan Ankireddy, University of Texas at Austin, United States; Ashwin Hebbar, Pramod Viswanath, Princeton University, United States; Hyeji Kim, University of Texas at Austin, United States
MA7a.2: Multipart Structured Autoencoder for Efficient CSI Compression
Mohamed Salah Ibrahim, Akshay Malhotra, InterDigital Communications, United States
MA7a.3: Efficient Deep Neural Receiver with Post-Training Quantization
SaiKrishna Saketh Yellapragada, Esa Ollila, Aalto University, Finland; Mario Costa, Nokia Technologies Oy, Finland
MA7a.4: Dynamic Power Control in Multi-Cell Networks: A Robust Multi-Agent Reinforcement Learning Approach
Xinrui Ye, Joohyun Cho, University of Utah, United States; Yi Zhou, Texas A&M University, United States; Rong-Rong Chen, University of Utah, United States
Contacts