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 …

Machine learning for physical layer in 5G and beyond wireless networks: A survey

J Tanveer, A Haider, R Ali, A Kim - Electronics, 2021 - mdpi.com
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …

[Retracted] Machine Learning‐Based Intelligent Wireless Communication System for Solving Real‐World Security Issues

J Alanya-Beltran, R Raut, S Patil… - Security and …, 2022 - Wiley Online Library
The intelligent wireless system focuses on integrating with the advanced technologies like
machine learning and related approaches in order to enhance the performance, productivity …

[图书][B] Fundamentals of network planning and optimisation 2G/3G/4G: evolution to 5G

AR Mishra - 2018 - books.google.com
Updated new edition covering all aspects of network planning and optimization This
welcome new edition provides comprehensive coverage of all aspects of network planning …

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 …

Survey of wireless big data

L Qian, J Zhu, S Zhang - Journal of Communications and …, 2017 - ieeexplore.ieee.org
Wireless big data describes a wide range of massive data that is generated, collected and
stored in wireless networks by wireless devices and users. While these data share some …

A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems

A Salh, L Audah, NSM Shah, A Alhammadi… - IEEE …, 2021 - ieeexplore.ieee.org
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …

[PDF][PDF] Machine Learning-Assisted Sensing Techniques for Integrated Communications and Sensing in WLANs: Current Status and Future Directions.

S Shao, M Fan, C Yu, Y Li, X Xu, H Wang - Progress In Electromagnetics …, 2022 - jpier.org
Sensing is a key basis for building an intelligent environment. Using channel state
information (CSI) from the IEEE 802.11 physical layer in the wireless local access networks …

Transfer learning for wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu… - Proceedings of the …, 2022 - ieeexplore.ieee.org
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …