A survey on resource management in joint communication and computing-embedded SAGIN

Q Chen, Z Guo, W Meng, S Han, C Li… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …

Evolution of RAN Architectures Towards 6G: Motivation, Development, and Enabling Technologies

J Chen, X Liang, J Xue, Y Sun, H Zhou… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In this survey paper, we first provide insights on the evolution of radio access networks
(RANs) through investigating the existing paradigms and future trends towards 6G. We then …

Multi-band wireless communication networks: Fundamentals, challenges, and resource allocation

S Aboagye, MA Saeidi, H Tabassum… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper explores the evolution of wireless communication networks from utilizing the sub-
6 GHz spectrum and the millimeter wave frequency band to incorporating extremely high …

Network Selection over 5G-Advanced Heterogeneous Networks Based on Federated Learning and Cooperative Game Theory

CC González, EF Pupo, E Iradier… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
5G-Advanced and Beyond claims a 3D ecosystem with cooperation between terrestrial and
non-terrestrial networks to achieve seamless coverage, improve capacity, and enable …

Energy-efficient joint resource allocation for heterogeneous cellular networks with wireless backhauls

J Ma, H Gao, L Guo, H Li - AEU-International Journal of Electronics and …, 2024 - Elsevier
The extensive utilization of wireless services, coupled with the exponential surge in data
traffic, has triggered substantial energy consumption. Thereby, growing attentions have …

Using QoE Metric as a Decision Criterion in Multimedia Heterogeneous Network Optimization: Challenges and Research Perspectives

MHH Omar, K Justin P… - Journal of Computer …, 2024 - Wiley Online Library
This article explores the growing importance of the QoE (Quality of Experience) metric as a
fundamental criterion in the optimization of heterogeneous multimedia networks. We explore …

MM-SDVN: Efficient Mobility Management Scheme for Optimal Network Handover in Software Defined Vehicular Network

C Fan, J Cui, H Zhong, I Bolodurina… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Providing high-quality network services for vehicles is a challenge because of the fast-
moving character of the vehicles. To address the shortcomings of traditional centralized and …

From External Interaction to Internal Inference: An Intelligent Learning Framework for Spectrum Sharing and UAV Trajectory Optimization

R Ding, F Zhou, Q Wu, DWK Ng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communication is of crucial importance in realizing
heterogeneous practical wireless application scenarios. However, it is susceptible to the …

[HTML][HTML] Reinforcement learning-based unmanned aerial vehicle trajectory planning for ground users' mobility management in heterogeneous networks

Y Ullah, M Roslee, SM Mitani, M Sheraz, F Ali… - Journal of King Saud …, 2024 - Elsevier
The surge of data traffic in wireless networks necessitates the provision of high-quality data
services to meet users' satisfaction levels. However, the limited spectral resources of the …

A Collaborative Multi-agent Deep Reinforcement Learning-based Wireless Power Allocation with Centralized Training and Decentralized Execution

A Kopic, E Perenda, H Gacanin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Despite the success of Deep Reinforcement Learning (DRL) in radio-resource management
within multi-cell wireless networks, applying it to power allocation in ultra-dense 5G and …