A comprehensive survey on moving networks
The unprecedented increase in the demand for mobile data, fuelled by new emerging
applications and use-cases such as high-definition video streaming and heightened online …
applications and use-cases such as high-definition video streaming and heightened online …
Design guidelines for blockchain-assisted 5G-UAV networks
Fifth generation (5G) wireless networks are designed to meet various end-user quality of
service (QoS) requirements through high data rates (typically of gigabits per second) and …
service (QoS) requirements through high data rates (typically of gigabits per second) and …
Urldeepdetect: A deep learning approach for detecting malicious urls using semantic vector models
Abstract Malicious Uniform Resource Locators (URLs) embedded in emails or Twitter posts
have been used as weapons for luring susceptible Internet users into executing malicious …
have been used as weapons for luring susceptible Internet users into executing malicious …
A multi-stage resource-constrained spectrum access mechanism for cognitive radio IoT networks: Time-spectrum block utilization
Extravagant demands for wireless communications have resulted in the shortage of
spectrum, such that unlicensed spectrum bands are overcrowded, whereas licensed bands …
spectrum, such that unlicensed spectrum bands are overcrowded, whereas licensed bands …
UAV-assisted vehicular communication for densely crowded environments
Connected and Autonomous Electric Vehicles (CAEVs) are becoming a feature of our roads
in the imminent future. This disruptive technology is likely to enhance the way we get around …
in the imminent future. This disruptive technology is likely to enhance the way we get around …
Learning centric wireless resource allocation for edge computing: Algorithm and experiment
Edge intelligence is an emerging network architecture that integrates sensing,
communication, computing components, and supports various machine learning …
communication, computing components, and supports various machine learning …
High bandwidth green communication with vehicles by decentralized resource optimization in integrated access backhaul 5G networks
H Alghafari, MS Haghighi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, moving networks, including mobile small cells (MSCs), have been introduced to
improve the QoS experienced by users inside public transport and connected vehicles …
improve the QoS experienced by users inside public transport and connected vehicles …
Federated learning-based trajectory prediction for dynamic resource allocation in moving small cell networks
S Zafar, S Jangsher, A Zafar - Vehicular Communications, 2024 - Elsevier
With the evolution of fifth generation (5G) of mobile communication, vehicular edge
computing (VEC) and moving small cell (MSC) network are gaining attention because of …
computing (VEC) and moving small cell (MSC) network are gaining attention because of …
Federated learning for resource allocation in vehicular edge computing-enabled moving small cell networks
S Zafar, S Jangsher, A Zafar - Vehicular Communications, 2024 - Elsevier
Moving networks comprising of moving small cells (MoSCs) is an emerging technology that
provide ubiquitous connectivity to the cellular users in vehicular environment. MoSCs are …
provide ubiquitous connectivity to the cellular users in vehicular environment. MoSCs are …
EPS-TRA: Energy efficient peer selection and time switching ratio allocation for SWIPT-enabled D2D communication
MS Khan, S Jangsher, M Aloqaily… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This paper considers device-to-device (D2D) network with Simultaneous Wireless
Information and Power Transfer (SWIPT) enabled devices to ensure self-sustained …
Information and Power Transfer (SWIPT) enabled devices to ensure self-sustained …