Machine learning with big data: Challenges and approaches

A L'heureux, K Grolinger, HF Elyamany… - Ieee …, 2017 - ieeexplore.ieee.org
The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

Deep learning for intelligent wireless networks: A comprehensive survey

Q Mao, F Hu, Q Hao - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Deep learning at the mobile edge: Opportunities for 5G networks

M McClellan, C Cervelló-Pastor, S Sallent - Applied Sciences, 2020 - mdpi.com
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing,
storage, and analysis closer to the end user. The increased speeds and reduced delay …

Machine learning for performance prediction in mobile cellular networks

J Riihijarvi, P Mahonen - IEEE Computational Intelligence …, 2018 - ieeexplore.ieee.org
In this paper, we discuss the application of machine learning techniques for performance
prediction problems in wireless networks. These problems often involve using existing …

Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction

Y Arjoune, S Faruque - 2020 10th annual computing and …, 2020 - ieeexplore.ieee.org
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …

At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

Learning-driven wireless communications, towards 6G

MJ Piran, DY Suh - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communication is in its infancy, and its evolving
versions will be launched over the coming years. However, according to exposing the …

Machine learning for 5G and beyond: From model-based to data-driven mobile wireless networks

T Wang, S Wang, ZH Zhou - China Communications, 2019 - ieeexplore.ieee.org
During the past few decades, mobile wireless communications have experienced four
generations of technological revolution, namely from 1G to 4G, and the deployment of the …

Distributed intelligence in wireless networks

X Liu, J Yu, Y Liu, Y Gao, T Mahmoodi… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
The cloud-based solutions are becoming inefficient due to considerably large time delays,
high power consumption, and security and privacy concerns caused by billions of connected …