DAGIoV: A framework for vehicle to vehicle communication using directed acyclic graph and game theory

V Hassija, V Chamola, G Han… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Data sharing and content offloading among vehicles is an imperative part of the Internet of
Vehicles (IoV). A peer-to-peer connection among vehicles in a distributed manner is a highly …

Transfer learning for semi-supervised automatic modulation classification in ZF-MIMO systems

Y Wang, G Gui, H Gacanin, T Ohtsuki… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an essential technology for the non-
cooperative communication systems, and it is widely applied into various communications …

Review of optical and wireless backhaul networks and emerging trends of next generation 5G and 6G technologies

T Sharma, A Chehri, P Fortier - Transactions on Emerging …, 2021 - Wiley Online Library
Mobile Backhauling provides an interface between radio controller and base stations, mostly
realized with a physical medium such as optical fibers or microwave radio links. With the …

An overview of OTFS for Internet of Things: Concepts, benefits, and challenges

L Xiao, S Li, Y Qian, D Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is envisioned to connect everything, spanning from terrestrial to
nonterrestrial terminals, where reliable communication is expected to be allowed in both …

[HTML][HTML] A systematic review on machine learning and deep learning models for electronic information security in mobile networks

C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar… - Sensors, 2022 - mdpi.com
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

[HTML][HTML] Machine learning-based zero-touch network and service management: A survey

J Gallego-Madrid, R Sanchez-Iborra, PM Ruiz… - Digital Communications …, 2022 - Elsevier
The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

Blockchain-based secure and intelligent sensing scheme for autonomous vehicles activity tracking beyond 5g networks

D Reebadiya, T Rathod, R Gupta, S Tanwar… - Peer-to-Peer Networking …, 2021 - Springer
For the past few years, the automation of transportation becomes a hot research topic for
smart cities. Intelligent Transportation System (ITS) aims to manage and optimize the traffic …

Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G

A Mekrache, A Bradai, E Moulay, S Dawaliby - Vehicular Communications, 2022 - Elsevier
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …

Computing paradigms in emerging vehicular environments: A review

L Silva, N Magaia, B Sousa… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Determining how to structure vehicular network environments can be done in various ways.
Here, we highlight vehicle networks' evolution from vehicular ad-hoc networks (VANET) to …

Deep-learning-based intelligent intervehicle distance control for 6G-enabled cooperative autonomous driving

X Chen, S Leng, J He, L Zhou - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Research on the sixth-generation cellular networks (6G) is gaining huge momentum to
achieve ubiquitous wireless connectivity. Connected autonomous vehicles (CAVs) is a …