TA3b.1

Machine Learning-based Channel Prediction for Widely Distributed Massive MIMO with Real-World Data

David Löschenbrand, Markus Hofer, AIT Austrian Institute of Technology GmbH, Austria; Lukas Eller, Markus Rupp, TU Wien, Austria; Thomas Zemen, AIT Austrian Institute of Technology GmbH, Austria
Session:
TA3b: Cell-free Massive MIMO (Invited) Lecture
Track:
MIMO Communications and Signal Processing
Location:
Scripps
Presentation Time:
Tue, 31 Oct, 10:15 - 10:40 PT (UTC -7)
Session Chair:
Gilles Callebaut, KU Leuven
Presentation
Discussion
Resources
No resources available.
Session TA3b
TA3b.1: Machine Learning-based Channel Prediction for Widely Distributed Massive MIMO with Real-World Data
David Löschenbrand, Markus Hofer, AIT Austrian Institute of Technology GmbH, Austria; Lukas Eller, Markus Rupp, TU Wien, Austria; Thomas Zemen, AIT Austrian Institute of Technology GmbH, Austria
TA3b.2: Joint Optimization of Switching Point and Power Control in Dynamic TDD Cell-Free Massive MIMO
Martin Andersson, Tung T. Vu, Linköping University, Sweden; Pål Frenger, Ericsson AB, Sweden; Erik G. Larsson, Linköping University, Sweden
TA3b.3: DRL-Based Joint AP Deployment and Network-Centric Cluster Formation for Maximizing Long-Term Energy Efficiency in Cell-free Massive MIMO
Ozan Alp Topal, Qinglong He, KTH Royal Institute of Technology, Sweden; Özlem Tuğfe Demir, TOBB University of Economics and Technology, Turkey; Meysam Masoudi, Ericsson, Sweden; Cicek Cavdar, KTH Royal Institute of Technology, Sweden
TA3b.4: Towards Practical Cell-Free 6G Network Deployments: An Open-Source End-to-End Ray Tracing Simulator
William Tärneberg, Aleksei Fedorov, Lund University, Sweden; Gilles Callebaut, Liesbet Van der Perre, KU Leuven, Belgium; Emma Fitzgerald, Lund University, Sweden
Contacts