AI-RAN in 6G Networks State-of-the-Art and Challenges

NA Khan, S Schmid - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
6G is a next-generation cellular communication technology that builds up on existing 5G
networks which are currently rolled out worldwide. Through incorporation of artificial …

Coverage optimization for large-scale mobile networks with digital twin and multi-agent reinforcement learning

H Liu, T Li, F Jiang, W Su… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the exponential growth of mobile users, ensuring high-quality network coverage has
become paramount. Large-scale mobile networks consist of numerous base stations (BSs) …

A Smart Handover Strategy for 5G mmWave Dual Connectivity Networks

VR Gannapathy, R Nordin, NF Abdullah… - IEEE …, 2023 - ieeexplore.ieee.org
The consideration of millimeter wave (mmWave) bands and ultra-dense deployment have
emerged as essential enabling solutions in Fifth Generation (5G) networks. However, these …

An approach for using a tensor-based method for mobility-user pattern determining

IP Ashaev, IA Safiullin, AK Gaysin, AF Nadeev… - Inventions, 2023 - mdpi.com
Modern mobile networks exhibit a complex heterogeneous structure. To enhance the Quality
of Service (QoS) in these networks, intelligent control mechanisms should be implemented …

DRL for handover in 6G-vehicular networks: A survey

A Amaira, H Koubaa, F Zarai - Neurocomputing, 2025 - Elsevier
Abstract 3GPP is working on technology improvements related to sixth-generation (6G)
wireless communication networks to keep pace. 6G networks are being developed as the …

Handover algorithm based on Bayesian-optimized LSTM and multi-attribute decision making for heterogeneous networks

Y Luo, Y Zhang, C Du, H Zhang, Y Liu - Ad Hoc Networks, 2024 - Elsevier
Heterogeneous networks (HetNets) which can satisfy the diverse requirements of future
terminal tasks through providing different network access services for terminals, have …

Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms

MS Adam, NF Abdullah, A Abu-Samah, OA Amodu… - Drones, 2025 - mdpi.com
In disaster-stricken areas, rapid restoration of communication infrastructure is critical to
ensuring effective emergency response and recovery. Swarm UAVs, operating as mobile …

Performance Study in HetNets Using Dual Connectivity and Deep Reinforcement Learning

A Arwa, K Hend, Z Faouzi - 2023 International Symposium on …, 2023 - ieeexplore.ieee.org
The commercialization of 5th generation (5G) technology began in several countries in
2020. However, it takes time to transition to a 5G network. 5G brings new techniques such as …

[PDF][PDF] Advanced Path Optimization for UAV Swarms in Disaster Response Scenarios Using Hybrid Metaheuristic Algorithms

MS Adam, NF Abdullah, A Abu-Samah, OA Amodu… - 2024 - preprints.org
In disaster-stricken areas, rapid restoration of communication infrastructure is critical to
ensuring effective emergency response and recovery. Swarm UAVs, operating as mobile …

Edge enhanced network monitoring using TinyML

I Khan - 2024 - oulurepo.oulu.fi
TinyML (Tiny Machine Learning) is a rapidly evolving field with applications in wireless
communication and edge intelligence. This thesis investigates integrating machine learning …