Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges
F Khoramnejad, E Hossain - arXiv preprint arXiv:2405.17454, 2024 - arxiv.org
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative AI (GAI) …
significant challenges to using traditional optimization techniques. Generative AI (GAI) …
Large generative ai models for telecom: The next big thing?
The evolution of generative artificial intelligence (GenAI) constitutes a turning point in
reshaping the future of technology in different aspects. Wireless networks in particular, with …
reshaping the future of technology in different aspects. Wireless networks in particular, with …
Genetic algorithms in wireless networking: techniques, applications, and issues
In recent times, wireless access technology is becoming increasingly commonplace due to
the ease of operation and installation of untethered wireless media. The design of wireless …
the ease of operation and installation of untethered wireless media. The design of wireless …
[PDF][PDF] Integrating Deep Reinforcement Learning in 6G Edge Environments: Towards Intelligent Network Optimization
R Raftopoulos - iris.unict.it
The rapid evolution of wireless communication technologies has led to the emergence of 6G
networks, which promise unprecedented levels of connectivity, capacity, and intelligence …
networks, which promise unprecedented levels of connectivity, capacity, and intelligence …
AI-enabled future wireless networks: Challenges, opportunities, and open issues
M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …
in the way future wireless network resources are managed. Indeed, when application …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study
As the next-generation wireless communication system, Sixth-Generation (6G) technologies
are emerging, enabling various mobile edge networks that can revolutionize wireless …
are emerging, enabling various mobile edge networks that can revolutionize wireless …
Empowering Wireless Networks with Artificial Intelligence Generated Graph
In wireless communications, transforming network into graphs and processing them using
deep learning models, such as Graph Neural Networks (GNNs), is one of the mainstream …
deep learning models, such as Graph Neural Networks (GNNs), is one of the mainstream …
AI-Generated Network Design: A Diffusion Model-based Learning Approach
The future networks pose intense demands for intelligent and customized designs to cope
with the surging network scale, dynamically time-varying environments, diverse user …
with the surging network scale, dynamically time-varying environments, diverse user …
Five facets of 6G: Research challenges and opportunities
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …
turned their attention to the exploration of radical next-generation solutions. At this early …