Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges

CX Wang, M Di Renzo, S Stanczak… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
5G wireless communication networks are currently being deployed, and B5G networks are
expected to be developed over the next decade. AI technologies and, in particular, ML have …

Artificial intelligence for 6G networks: Technology advancement and standardization

MK Shehzad, L Rose, MM Butt… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …

Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …

Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations

C Zhang, YL Ueng, C Studer… - IEEE Journal on Emerging …, 2020 - ieeexplore.ieee.org
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …

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 …

Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

The roadmap to 6G: AI empowered wireless networks

KB Letaief, W Chen, Y Shi, J Zhang… - IEEE communications …, 2019 - ieeexplore.ieee.org
The recent upsurge of diversified mobile applications, especially those supported by AI, is
spurring heated discussions on the future evolution of wireless communications. While 5G is …

Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

Big AI models for 6G wireless networks: Opportunities, challenges, and research directions

Z Chen, Z Zhang, Z Yang - arXiv preprint arXiv:2308.06250, 2023 - arxiv.org
Recently, big artificial intelligence (AI) models represented by chatGPT have brought an
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …