Five facets of 6G: Research challenges and opportunities
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …
turned their attention to the exploration of radical next-generation solutions. At this early …
Future outlook on 6G technology for renewable energy sources (RES)
As the renewable energy sources (RES) continues to grow in power system due to
emissions decarbonisation and sustainability policies, a fast and reliable connection …
emissions decarbonisation and sustainability policies, a fast and reliable connection …
[HTML][HTML] Towards 6G Internet of Things: Recent advances, use cases, and open challenges
Smart services based on the Internet of Everything (IoE) are gaining considerable popularity
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …
due to the ever-increasing demands of wireless networks. This demands the appraisal of the …
[HTML][HTML] 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 …
A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN)
Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the
next generation network. The space satellites and air nodes are the potential candidates to …
next generation network. The space satellites and air nodes are the potential candidates to …
Survey on digital twin edge networks (DITEN) toward 6G
F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
An overview on the application of graph neural networks in wireless networks
In recent years, with the rapid enhancement of computing power, deep learning methods
have been widely applied in wireless networks and achieved impressive performance. To …
have been widely applied in wireless networks and achieved impressive performance. To …
Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …