Reshaping Intelligent Business and Industry

31Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios

SHILPA MEHTA¹, XUE JUN LI¹, SURJEET DALAL²

¹ Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand

² College of Computing Science and Information Technology, Teerthanker Mahaveer University, Moradabad, U.P., India

Email: [e-mail], [e-mail], [e-mail]

Abstract

Radio spectrum is the most valuable wireless communication resource. With recent advancements in the internet of things (IoT), it is critical to gather spectrum usage information as the emerging devices are anticipated to utilize the radio spectrum in an efficient and intelligent manner. Furthermore, it is necessary to carefully select a radio architecture that not only accommodates a specific wireless standard but also offers high flexibility and scalability. As a result, software-defined radios (SDRs) are becoming increasingly popular since they allow for convenient switching between various modes by reliable reconfiguration of the radio front-end with different software. The development trend of wireless systems also expects SDRs to function intelligently to respond to a dynamic radio environment, where artificial intelligence (AI) plays an important role. This chapter starts with an introduction to SDR, followed by several popular SDR architectures. Then, it discusses the benefits and shortcomings of SDR-IoT-based architectures. ...