Enabling joint communication and radar sensing in mobile networks—A survey

JA Zhang, ML Rahman, K Wu, X Huang… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Mobile network is evolving from a communication-only network towards one with joint
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …

Cybersecurity for autonomous vehicles: Review of attacks and defense

K Kim, JS Kim, S Jeong, JH Park, HK Kim - Computers & Security, 2021 - Elsevier
As technology has evolved, cities have become increasingly smart. Smart mobility is a
crucial element in smart cities, and autonomous vehicles are an essential part of smart …

Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles

X Zhou, W Liang, J She, Z Yan, I Kevin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The vision of the upcoming 6G technologies that have fast data rate, low latency, and ultra-
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …

A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

6G wireless systems: A vision, architectural elements, and future directions

LU Khan, I Yaqoob, M Imran, Z Han, CS Hong - IEEE access, 2020 - ieeexplore.ieee.org
Internet of everything (IoE)-based smart services are expected to gain immense popularity in
the future, which raises the need for next-generation wireless networks. Although fifth …

Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

[HTML][HTML] Security and privacy in 6G networks: New areas and new challenges

M Wang, T Zhu, T Zhang, J Zhang, S Yu… - Digital Communications …, 2020 - Elsevier
With the deployment of more and more 5g networks, the limitations of 5g networks have
been found, which undoubtedly promotes the exploratory research of 6G networks as the …

Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial

A Feriani, E Hossain - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

6G ecosystem: Current status and future perspective

JR Bhat, SA Alqahtani - IEEE Access, 2021 - ieeexplore.ieee.org
Next-generation of the cellular network will attempt to overcome the limitations of the current
Fifth Generation (5G) networks and equip itself to address the challenges which become …

LightAMC: Lightweight automatic modulation classification via deep learning and compressive sensing

Y Wang, J Yang, M Liu, G Gui - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an promising technology for non-cooperative
communication systems in both military and civilian scenarios. Recently, deep learning (DL) …