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…
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…
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,…