Overview of the first pathloss radio map prediction challenge
Pathloss quantifies the reduction in power density of a signal radiated from a transmitter. The
attenuation is due to large-scale effects such as free-space propagation loss and …
attenuation is due to large-scale effects such as free-space propagation loss and …
Empowering wireless network applications with deep learning-based radio propagation models
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 …
knowledge of the received signal quality over the target coverage area. This knowledge is …
RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
The radio wave propagation channel is central to the performance of wireless
communication systems. In this paper, we introduce a novel machine learning-empowered …
communication systems. In this paper, we introduce a novel machine learning-empowered …
Sparse Channel Reconstruction: A Generative Adversarial Network-Based Approach
Wireless channels typically exhibit a sparse structure, with sparsity regarded as an inherent
characteristics. A deeper understanding and accurate representation of channel sparsity …
characteristics. A deeper understanding and accurate representation of channel sparsity …
Rigorous Indoor Wireless Communication System Simulations with Deep Learning-based Radio Propagation Models
Recently, there has been a surge in the development of data-driven propagation models.
These models aspire to distill knowledge from propagation solvers or measured data and …
These models aspire to distill knowledge from propagation solvers or measured data and …
Applications of Artificial Intelligence to Electromagnetism and Indoor Wireless Networks
SS Bakirtzis - 2024 - repository.cam.ac.uk
Abstract Fifth-generation (5G) and beyond (B5G) mobile networks are anticipated to
revolutionise the structure of the wireless ecosystem and support a set of highly …
revolutionise the structure of the wireless ecosystem and support a set of highly …
A Novel Neural Point Field Framework for End-to-End Wireless Channel Modeling
In this paper, we present a novel neural wireless channel modeling methodology by
leveraging a point-cloud-based neural network. During the training phase, the proposed …
leveraging a point-cloud-based neural network. During the training phase, the proposed …