Millimeter-wave communication for internet of vehicles: status, challenges, and perspectives

KZ Ghafoor, L Kong, S Zeadally… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles has attracted a lot of attention in the automotive industry and
academia recently. We are witnessing rapid advances in vehicular technologies that …

Cmt-sctp and mptcp multipath transport protocols: A comprehensive review

P Tomar, G Kumar, LP Verma, VK Sharma… - Electronics, 2022 - mdpi.com
A huge amount of generated data is regularly exploding into the network by the users
through smartphones, laptops, tablets, self-configured Internet-of-things (IoT) devices, and …

Machine learning prediction approach to enhance congestion control in 5G IoT environment

IA Najm, AK Hamoud, J Lloret, I Bosch - Electronics, 2019 - mdpi.com
The 5G network is a next-generation wireless form of communication and the latest mobile
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …

Optimizing network security with machine learning and multi-factor authentication for enhanced intrusion detection

RK Mahmood, AI Mahameed, NQ Lateef… - Journal of Robotics …, 2024 - journal.umy.ac.id
This study examines the utilization of machine learning methodologies and multi-factor
authentication (MFA) to bolster network security, specifically targeting network intrusion …

Efficient compressive sensing based sparse channel estimation for 5G massive MIMO systems

I Khan, D Singh - AEU-International Journal of Electronics and …, 2018 - Elsevier
Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …

Spectral and energy efficient low-overhead uplink and downlink channel estimation for 5G massive MIMO systems

I Khan, MH Zafar, MT Jan, J Lloret, M Basheri, D Singh - Entropy, 2018 - mdpi.com
Uplink and Downlink channel estimation in massive Multiple Input Multiple Output (MIMO)
systems is an intricate issue because of the increasing channel matrix dimensions. The …

A new development of FDOSM based on a 2-tuple fuzzy environment: Evaluation and benchmark of network protocols as a case study

RM Maher, MM Salih, HA Hussein, MA Ahmed - Computers, 2022 - mdpi.com
Multicriteria decision-making (MCDM) is one of the most common methods used to select
the best alternative from a set of available alternatives. Many methods in MCDM are …

Fuzzy-weightedzero-inconsistency, FWZIC, Multi-criteria Decision Making, MCDM, Weighting Methods, Fuzzy Set

MM Salih, RA Yousif - Iraqi Journal for Computer …, 2024 - ijcsm.researchcommons.org
Researchers in various fields have consistently used Multi-Criteria Decision-Making
(MCDM) methods for discipline improvement, employing both standard and novel …

Congestion Control Prediction Model for 5G Environment Based on Supervised and Unsupervised Machine Learning Approach

MBM Kamel, IA Najm, AK Hamoud - IEEE Access, 2024 - ieeexplore.ieee.org
With the emergence of 5G technology, congestion control become a vital and main
challenge to be addressed in order to have efficient communication. There are several …

Vehicular ad hoc networks: Growth and survey for three layers

A Saad, AT Rahem, AJ Hussein, AA Mohammed - 2017 - earsiv.cankaya.edu.tr
A vehicular ad hoc network (VANET) is a mobile ad hoc network that allows wireless
communication between vehicles, as well as between vehicles and roadside equipment …