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 …

Deep reinforcement learning‐based resource allocation in multi‐access edge computing

M Khani, MM Sadr, S Jamali - Concurrency and Computation …, 2023 - Wiley Online Library
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …

Three-layer data center-based intelligent slice admission control algorithm for C-RAN using approximate reinforcement learning

M Khani, S Jamali, MK Sohrabi - Cluster Computing, 2024 - Springer
Abstract C-RAN (Cloud Radio Access Network) is a 5G architecture that consists of sites and
three-layer Data Centers (DCs), which include the central office DC, local DC, and regional …

Cyber Digital Twin with Deep Learning Model for Enterprise Products Management

Z Wang - Wireless Personal Communications, 2024 - Springer
Time series abnormalities might be signs of upcoming problems; thus, new computational
anomaly detection techniques are needed for early warning systems and real-time system …

ARL-RA: efficient resource allocation in 5G edge networks: a novel intelligent solution using approximate reinforcement learning algorithm

M Khani, S Jamali, MK Sohrabi - Journal of Communication …, 2021 - jce.shahed.ac.ir
The rapid proliferation of fifth-generation (5G) technology has resulted in a wide range of
applications, posing challenges in managing network resources effectively and efficiently …