Tue PM2.L5.4

Sequential Multiuser Scheduling and Power Allocation for Clustered Cell-Free Massive MIMO Networks

Saeed Mashdour, Rodrigo de Lamare, Pontifical Catholic University of Rio de Janeiro, Brazil; Anke Schmeink, RWTH Aachen University, Germany; João Lima, CPQD Brazil, Brazil

Session:
Tue PM2.L5: Cell Free MIMO Systems and Multiple Access Lecture

Track:
SPCN - Signal processing for communications

Location:
Press room

Presentation Time:
Tue, 5 Sep, 17:40 - 18:00 Finland Time (UTC +3)

Session Chair:
Eduard Jorswieck, TU Braunschweig
Presentation
Discussion
Resources
No resources available.
Session Tue PM2.L5
Tue PM2.L5.1: USER ASSOCIATION AND POWER CONTROL IN CELL-FREE MASSIVE MIMO WITH THE APG METHOD
Chongzheng Hao, Nanjing University of Aeronautics and Astronautics, Queen's University Belfast, United Kingdom; Tung T. Vu, Linkoping University, Queen's University Belfast, Sweden; Hien Quoc Ngo, Queen's University Belfast, United Kingdom; Minh N. Dao, RMIT University, Australia; Xiaoyu Dang, Nanjing University of Aeronautics and Astronautics, China; Michail Matthaiou, Queen's University Belfast, United Kingdom
Tue PM2.L5.2: Multipair DF Relaying with Network-Assisted Full-Duplex Cell-Free Massive MIMO
Tung Thanh Vu, Linköping University, Sweden; Hien Quoc Ngo, Queen's University Belfast, United Kingdom; Minh N. Dao, RMIT University, Australia; Erik G. Larsson, Linköping University, Sweden
Tue PM2.L5.3: UNCOORDINATED TRANSMISSIONS IN UPLINK IOT CELL-FREE MASSIVE MIMO SYSTEMS BASED ON NOMA
Joumana Farah, INSA Rennes, France; Cybele Ghanem, Lebanese University, Lebanon; Eric Pierre Simon, University of Lille, France
Tue PM2.L5.4: Sequential Multiuser Scheduling and Power Allocation for Clustered Cell-Free Massive MIMO Networks
Saeed Mashdour, Rodrigo de Lamare, Pontifical Catholic University of Rio de Janeiro, Brazil; Anke Schmeink, RWTH Aachen University, Germany; João Lima, CPQD Brazil, Brazil
Tue PM2.L5.5: Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine Learning
Finn Siegismund-Poschmann, Volkswagen AG, Germany; Bile Peng, Eduard Jorswieck, TU Braunschweig, Germany