Machine intelligence techniques for next-generation context-aware wireless networks
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
Machine learning for wireless communications in the Internet of Things: A comprehensive survey
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …
wireless communications than ever before. For this reason, techniques such as spectrum …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
Performance optimizations for wireless wide-area networks: Comparative study and experimental evaluation
We present a comparative performance study of a wide selection of optimization techniques
to enhance application performance in the context of wide-area wireless networks …
to enhance application performance in the context of wide-area wireless networks …
[PDF][PDF] Analysis and design of quality link metrics for routing protocols in Wireless Networks
N Javaid - 2010 - Citeseer
This dissertation endeavors to contribute enhancements in goodputs of the IEEE 802.11-
based Wireless Multi-hop Networks (WMhNs). By performing exhaustive simulations, for the …
based Wireless Multi-hop Networks (WMhNs). By performing exhaustive simulations, for the …
Machine learning techniques and a case study for intelligent wireless networks
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …
support various communication connectivity and services for the huge number of wireless …
Artificial intelligence for 6G networks: Technology advancement and standardization
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 …
design phase for 6G networks. 6G networks will be immensely complex, requiring more …
Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks
The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …
the very diversified service requirements, heterogeneity in applications, devices, and …
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 …
prediction problems in wireless networks. These problems often involve using existing …
6G white paper on machine learning in wireless communication networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …
wireless communication networks will be the backbone of the digital transformation of …