Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

A Alhammadi, I Shayea, AA El-Saleh… - … Journal of Intelligent …, 2024 - Wiley Online Library
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

[HTML][HTML] Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

C Chen, H Zhang, J Hou, Y Zhang, H Zhang, J Dai… - Biomimetics, 2023 - mdpi.com
With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …

Whale optimization-orchestrated Federated Learning-based resource allocation scheme for D2D communication

NK Jadav, S Tanwar - Ad Hoc Networks, 2024 - Elsevier
Abstract Device-to-Device (D2D) communication plays a prominent role in mobile data
offloading from the cellular infrastructure (eg, base station). This paradigm empowers user …

Federated Learning for 6G HetNets' Physical Layer Optimization: Perspectives, Trends, and Challenges

IA Bartsiokas, PK Gkonis… - … of Information Science …, 2025 - igi-global.com
This chapter presents a survey that focuses on the implementation of federated learning (FL)
techniques in sixth generation (6G) networks' physical layer (PHY) to meet the increasing …

Federated Learning with Privacy-Preserving Incentives for Aerial Computing Networks

P Wang, Y Yang, W Sun, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the help of artificial intelligence (AI) model, aerial computing can help analyze and
predict the network dynamics and support intelligent decision-making to improve the …

[图书][B] Edge Intelligent Computing Systems in Different Domains

B Picano, R Fantacci - 2024 - books.google.com
This book provides a comprehensive and systematic exploration of next-generation Edge
Intelligence (EI) Networks. It delves deep into the critical design considerations within this …

Investigating Federated Learning Implementation Challenges in 6G Network

S Paul - 2024 Fourth International Conference on Advances in …, 2024 - ieeexplore.ieee.org
The rapid progress and deployment beyond 5G and moving towards a 6G network demand
the stipulation for network intelligence by applying advanced ML-driven approaches. The …

Edge Intelligent Computing Enabled Federated Learning in 6G Wireless Systems

B Picano, R Fantacci - Edge Intelligent Computing Systems in Different …, 2023 - Springer
Federated Learning (FL) methodologies are expected to enable a huge number of
applications according to intelligent distributed frameworks based on machine learning. In …

Emerging Technologies for Edge Intelligent Computing Systems

B Picano, R Fantacci - Edge Intelligent Computing Systems in Different …, 2023 - Springer
Future next generation networks are expected to outline a wide class of ambitious
challenges, mainly concerning the handling and fulfillment of requirements imposed by …

[PDF][PDF] Machine and Deep Learning Algorithms for Radio Resource Management in 5G and Beyond Networks

Ι Μπαρτσιώκας - 2023 - dspace.lib.ntua.gr
Abstract Fifth-generation (5G) and beyond (B5G) wireless communications systems have
been established to support the exponential growth rate of mobile data traffic and dense …