Scalable learning paradigms for data-driven wireless communication

Y Xu, F Yin, W Xu, CH Lee, J Lin… - IEEE Communications …, 2020 - ieeexplore.ieee.org
The marriage of wireless big data and machine learning techniques revolutionizes wireless
systems by introducing data-driven philosophy. However, the ever exploding data volume …

Communication-efficient and distributed learning over wireless networks: Principles and applications

J Park, S Samarakoon, A Elgabli, J Kim… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

Communication-efficient and distributed learning over wireless networks: Principles and applications

J Park, S Samarakoon, A Elgabli, J Kim… - arXiv preprint arXiv …, 2020 - arxiv.org
Machine learning (ML) is a promising enabler for the fifth generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. 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 …

Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks

MG Kibria, K Nguyen, GP Villardi, O Zhao… - IEEE …, 2018 - ieeexplore.ieee.org
The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …

Wireless communications in the era of big data

S Bi, R Zhang, Z Ding, S Cui - IEEE communications magazine, 2015 - ieeexplore.ieee.org
The rapidly growing wave of wireless data service is pushing against the boundary of our
communication network's processing power. The pervasive and exponentially increasing …

When machine learning meets big data: A wireless communication perspective

Y Liu, S Bi, Z Shi, L Hanzo - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
We have witnessed an exponential growth in commercial data services, which has led to the
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …

Distributed learning in wireless networks: Recent progress and future challenges

M Chen, D Gündüz, K Huang, W Saad… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing

W Xu, Z Yang, DWK Ng, M Levorato… - IEEE journal of …, 2023 - ieeexplore.ieee.org
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …