3 papers
eess.SP2024
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
Stefanos Bakirtzis, Cagkan Yapar, Marco Fiore +2
The efficient deployment and operation of any wireless communication ecosystem rely on knowledge of the received signal quality over the target coverage area. This knowledge is typ…
cs.CE2024
Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing
Stefanos Bakirtzis, Marco Fiore, Jie Zhang +1
Computational electromagnetics (CEM) is employed to numerically solve Maxwell's equations, and it has very important and practical applications across a broad range of disciplines,…
math.OC2024
A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks
Gabriel O. Ferreira, André F. Zanella, Stefanos Bakirtzis +6
Heterogeneous networks have emerged as a popular solution for accommodating the growing number of connected devices and increasing traffic demands in cellular networks. While offer…