NOMA-enabled optimization framework for next-generation small-cell IoV networks under imperfect SIC decoding
To meet the demands of massive connections, diverse quality of services (QoS), ultra-
reliable and low latency in the future sixth-generation (6G) Internet-of-vehicle (IoV) …
reliable and low latency in the future sixth-generation (6G) Internet-of-vehicle (IoV) …
[HTML][HTML] 6G mobile communication technology: Requirements, targets, applications, challenges, advantages, and opportunities
Abstract The sixth-generation (6G) technology of mobile networks will establish new
standards to fulfill unreachable performance requirements by fifth-generation (5G) mobile …
standards to fulfill unreachable performance requirements by fifth-generation (5G) mobile …
NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems
Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …
identification of modulation types of unknown signal of integrated sensing and …
A hybrid machine learning model for intrusion detection in VANET
Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …
communication and traffic information exchange, VANET is also vulnerable to different …
Deep learning-based cooperative automatic modulation classification method for MIMO systems
Automatic modulation classification (AMC) is one of the most essential algorithms to identify
the modulation types for the non-cooperative communication systems. Recently, it has been …
the modulation types for the non-cooperative communication systems. Recently, it has been …
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 …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
A fine-grained access control and security approach for intelligent vehicular transport in 6g communication system
Z Zhou, A Gaurav, BB Gupta… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The area of intelligent transport systems (ITS) is attracting growing attention because of the
integration of the smart IoT with vehicles that improve user safety and overall travel …
integration of the smart IoT with vehicles that improve user safety and overall travel …
Federated learning assisted multi-UAV networks
H Zhang, L Hanzo - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been recognized as a promising technology to be
used in a wide range of civilian, public and military applications. However, given their limited …
used in a wide range of civilian, public and military applications. However, given their limited …
HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks
ZM Fadlullah, N Kato - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …
control for a joint computation, communication, and collaborative caching optimization in 6G …