Genetic algorithms in wireless networking: techniques, applications, and issues
In recent times, wireless access technology is becoming increasingly commonplace due to
the ease of operation and installation of untethered wireless media. The design of wireless …
the ease of operation and installation of untethered wireless media. The design of wireless …
Swarm intelligence for next-generation networks: Recent advances and applications
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
Machine learning paradigms for next-generation wireless networks
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 …
radically new applications, which require a new wireless radio technology paradigm. The …
Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges
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 …
expected to be developed over the next decade. AI technologies and, in particular, ML have …
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 …
in the way future wireless network resources are managed. Indeed, when application …
[图书][B] Genetic algorithms and engineering optimization
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms …
The past decade has witnessed many exciting advances in the use of genetic algorithms …
Machine learning for large-scale optimization in 6g wireless networks
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 …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Artificial neural networks-based machine learning for wireless networks: A tutorial
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
When machine learning meets wireless cellular networks: Deployment, challenges, and applications
U Challita, H Ryden, H Tullberg - IEEE Communications …, 2020 - ieeexplore.ieee.org
AI powered wireless networks promise to revolutionize the conventional operation and
structure of current networks from network design to infrastructure management, cost …
structure of current networks from network design to infrastructure management, cost …
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 …