Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Learning mechanisms are essential for the attainment of experience and knowledge in
cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states [1] …

Cognitive radio (CR) has been considered as a potential candidate for addressing the
spectrum scarcity problem of future wireless networks. Since its conception, several …

We have all probably heard the complaints that the radio spectrum is too crowded to
introduce any new wireless services, and that the limiting factor behind development of …

Cognitive radios are expected to play an important role in capturing the constantly growing
traffic interest on remote networks. To improve the usage of the radio range, a cognitive …

Recent innovation, growth, and deployment of internet of things (IoT) networks are changing
the daily life of people. 5G networks are widely deployed around the world, and they are …

Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

The estimation of critical parameters and catching the relationship between allocated
resources, link reliability, and transmission latency to save communication resources for …

Cognitive Radio (CR) has received tremendous interest during the past decade from almost
all research disciplines in wireless communications. Meanwhile, companies across the …