S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile applications and services, resulted in unprecedented infrastructure requirements for mobile …
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new challenges on the 5G network cybersecurity defense system, resource management …
A Alsudani, HM Marhoon - Evolution (N. Y), 2022 - academia.edu
Besides the evolution of wireless communications and their across-the-board utilise due to the many advantages they provide, on other hand, microstrip antennas have been popular …
Z Haider, SM Muztazhar Gilani, T Jamal… - Security and …, 2022 - Wiley Online Library
The real‐time monitoring and autonomous decision making through unmanned aerial vehicles (UAVs) are the potential applications of future networks. Vertical handover in future …
Q Wu, W Wang, P Fan, Q Fan, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks to the nearby VEC server …
J Liu, A Nazeri, C Zhao, E Abuhdima… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
With the development of 5G networks and advanced communication technologies, connected vehicles (CV) are becoming an increasingly important aspect of the future of …
SY Huang, SS Chen, MX Chen, YC Chang, HC Chao - Sensors, 2022 - mdpi.com
With the low latency, high transmission rate, and high reliability provided by the fifth- generation mobile communication network (5G), many applications requiring ultra-low …
In order to improve safety and decrease accidents, VANET and Internet of Things were combined to create the concept of the Internet of Vehicles (IoV). In the IoV, a variety of …
MA Yadav, Y Li, G Fang, B Shen - 2022 IEEE 2nd International …, 2022 - ieeexplore.ieee.org
To solve the problem of spectrum scarcity and spectrum under-utilization in wireless networks, we propose a double deep Q-network based reinforcement learning algorithm for …