4 papers · 1 filter
RIS-Assisted NOMA with Partial CSI and Mutual Coupling: A Machine Learning Approach
Bile Peng, Karl-Ludwig Besser, Shanpu Shen +5
Non-orthogonal multiple access (NOMA) is a promising multiple access technique. Its performance depends strongly on the wireless channel property, which can be enhanced by reconfig…
A Scalable Machine Learning Approach Enabled RIS Optimization with Implicit Channel Estimation
Bile Peng, Vahid Jamali, Eduard Jorswieck
The reconfigurable intelligent surface (RIS) is considered as a key enabler of the next-generation mobile radio systems. While attracting extensive interest from academia and indus…
Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks
Bile Peng, Bihan Guo, Karl-Ludwig Besser +6
Millimeter wave (mmWave) cell-free massive MIMO (CF mMIMO) is a promising solution for future wireless communications. However, its optimization is non-trivial due to the challengi…
Energy-Efficient Power Allocation in Cell-Free Massive MIMO via Graph Neural Networks
Ramprasad Raghunath, Bile Peng, Eduard A. Jorswieck
CF-mMIMO systems are a promising solution to enhance the performance in 6G wireless networks. Its distributed nature of the architecture makes it highly reliable, provides sufficie…