5 papers
iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models
Jinbo Hou, Stefanos Bakirtzis, Kehai Qiu +5
Efficient indoor wireless network (IWN) planning is crucial for providing high-quality 5G in-building services. However, traditional meta-heuristic and artificial intelligence-base…
The First Indoor Pathloss Radio Map Prediction Challenge
Stefanos Bakirtzis, ÃaÄkan Yapar, Kehai Qiu +2
To encourage further research and to facilitate fair comparisons in the development of deep learning-based radio propagation models, in the less explored case of directional radio…
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…
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…
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,…