Federated machine learning: Survey, multi-level classification, desirable criteria and future directions in communication and networking systems
The communication and networking field is hungry for machine learning decision-making
solutions to replace the traditional model-driven approaches that proved to be not rich …
solutions to replace the traditional model-driven approaches that proved to be not rich …
What will the future of UAV cellular communications be? A flight from 5G to 6G
What will the future of UAV cellular communications be? In this tutorial article, we address
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …
Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles
In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can
improve the driving experience and service quality. However, the bandwidth, security and …
improve the driving experience and service quality. However, the bandwidth, security and …
Reconfigurable intelligent surfaces assisted communications with limited phase shifts: How many phase shifts are enough?
Reconfigurable intelligent surface (RIS) has drawn a great attention worldwide as it can
create favorable propagation conditions by controlling the phase shifts of the reflected …
create favorable propagation conditions by controlling the phase shifts of the reflected …
5G Internet of Things: A survey
The existing 4G networks have been widely used in the Internet of Things (IoT) and is
continuously evolving to match the needs of the future Internet of Things (IoT) applications …
continuously evolving to match the needs of the future Internet of Things (IoT) applications …
Space-air-ground integrated network: A survey
Space-air-ground integrated network (SAGIN), as an integration of satellite systems, aerial
networks, and terrestrial communications, has been becoming an emerging architecture and …
networks, and terrestrial communications, has been becoming an emerging architecture and …
Application of machine learning in wireless networks: Key techniques and open issues
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …
solving complex problems without explicit programming. Motivated by its successful …
A survey of device-to-device communications: Research issues and challenges
Device-to-Device (D2D) communication has emerged as a promising technology for
optimizing spectral efficiency in future cellular networks. D2D takes advantage of the …
optimizing spectral efficiency in future cellular networks. D2D takes advantage of the …
Deep reinforcement learning and permissioned blockchain for content caching in vehicular edge computing and networks
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data
and multimedia content to be cached in proximity to vehicles. However, high mobility of …
and multimedia content to be cached in proximity to vehicles. However, high mobility of …
Envisioning device-to-device communications in 6G
To fulfill the requirements of various emerging applications, the future sixth generation (6G)
mobile network is expected to be an innately intelligent, highly dynamic, ultradense …
mobile network is expected to be an innately intelligent, highly dynamic, ultradense …