Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
Artificial neural networks-based machine learning for wireless networks: A tutorial
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
Joint computation and communication design for UAV-assisted mobile edge computing in IoT
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a
prominent concept, where a UAV equipped with an MEC server is deployed to serve a …
prominent concept, where a UAV equipped with an MEC server is deployed to serve a …
Energy efficient resource allocation in UAV-enabled mobile edge computing networks
In this paper, we consider the sum power minimization problem via jointly optimizing user
association, power control, computation capacity allocation, and location planning in a …
association, power control, computation capacity allocation, and location planning in a …
A survey on machine-learning techniques for UAV-based communications
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …
communication networks. Their adoption in various communication-based applications is …
Blockchain and machine learning for communications and networking systems
Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …
infrastructures, resources, end devices, and applications in communications and networking …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …