… The proposal is shown to outperform the traditional Q learning solutions in both computational
efficiency and system capacity. In [39], an uplink user association problem for energy har…

… learning algorithms, more flexible input mechanism [19], etc. To meet these urges, … learning
applications in wireless networks has drawn lots of interests. DL equips the wireless network …

… COMMUNICATIONS In this section, we first overview the motivation behind developing
ANN solutions for wireless communications and networking problems. Then, we introduce the …

… suitable machine learning solutions for their specific … learning algorithms based on their
target WSN challenges, so as to encourage the adoption of existing machine learning solutions …

An industry-wide paradigm change has been sparked by the growth of Internet of Things (IoT)-based
Wireless Sensor Networks (WSNs), which has made reliable and effective routing …

… on the network layer attacks because they are more diverse than other layer attacks. We
review a number of studies proposing machine learning solutions pertaining to network layer …

… This book contains some architectural solutions of wireless network and its variations. …
wireless network. The main aim of this book is to enhance the applications of the wireless network …

… Then, we provide potential technical solutions to address these challenges. Furthermore, a
case … data is provided to illustrate the feasibility and effectiveness of the suggested solutions. …

… machine learning solutions to endow wireless networks with … the topic of machine learning
for wireless network design. The … , from machine learning and wireless communications, that …

… This trend is reflected in machine learning (ML) based solutions to problems ranging
from radio access technology (RAT) selection [8] to malware detection [9], as well as the …