A Galindo-Serrano, L Giupponi… - 2010 IEEE Global …, 2010 - ieeexplore.ieee.org
We address the coexistence problem between macrocell and femtocell systems by controlling the aggregated interference generated by multiple femtocell base stations at the …
The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected by edge devices for …
A Galindo-Serrano, L Giupponi… - 2010 Proceedings of …, 2010 - ieeexplore.ieee.org
In this paper we introduce the novel paradigm of docition for cognitive radio (CR) networks. We consider that the CRs are intelligent radios implementing a learning process through …
AG Serrano, L Giupponi… - 2010 Future Network & …, 2010 - ieeexplore.ieee.org
In this paper we use the emerging paradigm of docition for self-organized femtocell networks which are central to the ICT-BeFEMTO project. We consider that the femtocells are intelligent …
In distributed optimization and machine learning, multiple nodes coordinate to solve large problems. To do this, the nodes need to compress important algorithm information to bits so …
Although valued for its ability to allow teams to collaborate and foster coalitional behaviors among the participants, game theory's application to networking systems is not without …
The framework of cognitive wireless networks is expected to endow the wireless devices with the cognition-intelligence ability with which they can efficiently learn and respond to the …
The cloud-based solutions are becoming inefficient due to considerably large time delays, high power consumption, and security and privacy concerns caused by billions of connected …
Distributed learning is envisioned as the bedrock of next-generation intelligent networks, where intelligent agents, such as mobile devices, robots, and sensors, exchange information …