B Casasole, L Bonati, S D'Oro… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
With the unprecedented rise in traffic demand and mobile subscribers, real-time fine-grained optimization frame-works are crucial for the future of cellular networks. Indeed, rigid and …
In the era of Autonomous Networks (ANs), artificial intelligence (AI) plays a crucial role for their development in cellular networks, especially in 5G-and-beyond networks. The …
This paper deals with the use of emerging deep learning techniques in future wireless communication networks. It will be shown that the data-driven approaches should not …
H Yang, N Cheng, R Sun, W Quan, R Chai… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper proposes an novel knowledge-driven approach for resource allocation in device- to-device (D2D) networks using a graph neural network (GNN) architecture. To meet the …
MA Hossain, A Xiang, A Kiani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the realm of modern wireless networks, the integration of wireless sensing and communication systems is pivotal, especially in the context of the forthcoming 6G Internet of …
The sixth generation (6G) of mobile networks will adopt on-demand self-reconfiguration to fulfill simultaneously stringent key performance indicators and overall optimization of usage …
M Corici, T Magedanz - Shaping Future 6G Networks: Needs …, 2021 - Wiley Online Library
With the high increase in the number of connected devices, the 6G network optimizations cannot rely only on protocols and architecture customizations as in 5G. Instead, a better …
An expected plethora of demanding services and use cases mandates a revolutionary shift in the way future wireless network resources are managed. Indeed, when application …
As the 5G standard is being completed, academia and industry have begun to consider a more developed cellular communication technique, 6G, which is expected to achieve high …