3 papers
eess.SP2026
AI/ML based Joint Source and Channel Coding for HARQ-ACK Payload
Akash Doshi, Pinar Sen, Kirill Ivanov +7
Channel coding from 2G to 5G has assumed the inputs bits at the physical layer to be uniformly distributed. However, hybrid automatic repeat request acknowledgement (HARQ-ACK) bits…
eess.SP2025
Demonstrating Interoperable Channel State Feedback Compression with Machine Learning
Dani Korpi, Rachel Wang, Jerry Wang +20
Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Var…
cs.NI2024
Key Focus Areas and Enabling Technologies for 6G
Christopher G. Brinton, Mung Chiang, Kwang Taik Kim +14
We provide a taxonomy of a dozen enabling network architectures, protocols, and technologies that will define the evolution from 5G to 6G. These technologies span the network proto…