TP2a.4

Statistical and Generative Models for FR3 Multi-Antenna Channels

Koushal Kumar Reddy Chagari, Kaushik Chowdhury, 6G@UT, Dept. of ECE, United States; Salam Akoum, AT&T Labs, United States; Jeffrey G. Andrews, 6G@UT, Dept. of ECE, United States
Session:
TP2a: Deep Learning Methods for Advanced MIMO Systems Lecture
Track:
MIMO Communications and Signal Processing
Location:
Acacia
Presentation Time:
Tue, 28 Oct, 14:45 - 15:10 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TP2a
TP2a.1: An End-to-End Learning Framework for MIMO Communications
Karl Chahine, University of Texas at Austin, United States; Jung Hyun Bae, Dongwoon Bai, Samsung Semiconductor, United States; Hyeji Kim, University of Texas at Austin, United States
TP2a.2: Digital Twin Assisted Cooperative MIMO
Chanho Park, Namyoon Lee, POSTECH, Republic of Korea
TP2a.3: Multi³Code: Learning-Based Active Feedback Coding and Power Allocation for Multi-User MIMO Networks
Jonggyu Jang, David J. Love, Purdue University, Republic of Korea
TP2a.4: Statistical and Generative Models for FR3 Multi-Antenna Channels
Koushal Kumar Reddy Chagari, Kaushik Chowdhury, 6G@UT, Dept. of ECE, United States; Salam Akoum, AT&T Labs, United States; Jeffrey G. Andrews, 6G@UT, Dept. of ECE, United States
Contacts