Machine learning is one of the most exciting recent technologies in Artificial Intelligence.
Learning algorithms in many applications that's we make use of daily. Every time a web …

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

The radio frequency spectrum is getting more congested day by day due to the growth of
wireless devices, applications, and the arrival of fifth generation (5G) mobile …

Due to the increase in industrial applications of Internet of Things (IoT), number of internet
connected devices have been increased accordingly. This has resulted in big challenges in …

The need for faster wireless connectivity is increasing rapidly in all the sectors of the
technologies. Whether it is a patient monitoring system, military application, entertainment …

The increasing demand of wireless applications has put a lot of limitations on the use of
available radio spectrum is limited and precious resource. Many survey of spectrum …

In this chapter, we present the state of the art of the spectrum sensing techniques for
cognitive radio networks as well and their comparisons. The rest of the chapter is organized …

Cognitive radio is a promising technology to meet the requirements of efficient usage of
limited available frequency spectrum for next generation technology and demand for high …

Now a days the telecommunication systems have been concerned as a required for a life,
the number of users are improved therefore the usage of spectrum are increased. From …

In the present day Cognitive Radio has become a realistic option for solution of the spectrum
scarcity problem in wireless communication. One of the most challenging issues in cognitive …