Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

M Khani, S Jamali, MK Sohrabi… - Transactions on …, 2024 - Wiley Online Library
This paper reviews recent research on resource allocation in 5G cloud‐based radio access
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …

An enhanced deep reinforcement learning-based slice acceptance control system (EDRL-SACS) for cloud–radio access network

M Khani, S Jamali, MK Sohrabi - Physical Communication, 2023 - Elsevier
Abstract In 5G networks, Network Slicing (NS) allows service providers (SPs) to create
customized standalone networks on shared platforms provided by infrastructure providers …

Two-stage domain adaptation for infrared ship target segmentation

T Zhang, H Shen, S ur Rehman, Z Liu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Ship target segmentation in infrared scenes has always been a hot topic, since it is an
important basis and prerequisite for infrared-guided weapons to reliably capture and …

[HTML][HTML] A novel routing optimization strategy based on reinforcement learning in perception layer networks

H Tan, T Ye, S ur Rehman, O ur Rehman, S Tu… - Computer Networks, 2023 - Elsevier
Wireless sensor networks have become incredibly popular due to the Internet of Things'(IoT)
rapid development. IoT routing is the basis for the efficient operation of the perception-layer …

Intrusion detection using federated attention neural network for edge enabled internet of things

X Song, Q Ma - Journal of Grid Computing, 2024 - Springer
Edge nodes, which are expected to grow into a multi-billion-dollar market, are essential for
detection against a variety of cyber threats on Internet-of-Things endpoints. Adopting the …

Design and performance evaluation of a novel metamaterial broadband THz filter for 6G applications

AA Althuwayb, N Rashid, OI Elhamrawy… - Frontiers in …, 2023 - frontiersin.org
Terahertz (THz) radiation, which has applications in the imaging of objects, non-destructive
testing, satellite communication, medical diagnostics, and biosensing, has generated a great …

100Gb/s coherent optical secure communication over 1000 km based on analog-digital hybrid chaos

Y Wu, Z Zhang, H Luo, L Deng, Q Yang, X Dai, D Liu… - Optics …, 2023 - opg.optica.org
In recent years, the transmission capacity of chaotic secure communications has been
greatly expanded by combining coherent detection and multi-dimensional multiplexing …

A service-categorized security scheme with physical unclonable functions for internet of vehicles

NB Halima, AS Alluhaidan, MZ Khan, MS Husain… - Journal of Big Data, 2023 - Springer
In smart cities, communication and information exchange for the Internet of Vehicles rely on
open and closed infrastructures along the roadside. Secure communications rely on the …

Complex-valued hyperchaos-assisted vector-valued artificial neural key coordination for improving security in the Industrial Internet of Things

T Hai, A Sarkar, M Aksoy, MZ Khan… - Engineering Applications of …, 2024 - Elsevier
This paper presents an innovative solution to the key exchange problem in the Industrial
Internet of Things (IIoT) implementation. Communication between connected devices must …

Deep reinforcement learning and markov decision problem for task offloading in mobile edge computing

X Gao, MC Ang, SA Althubiti - Journal of Grid Computing, 2023 - Springer
Abstract Mobile Edge Computing (MEC) offers cloud-like capabilities to mobile users,
making it an up-and-coming method for advancing the Internet of Things (IoT). However …