Artificial Intelligent Techniques for Wireless Communication and Networking

20Artificial Intelligence in Wireless Communication

Prashant Hemrajani, Vijaypal Singh Dhaka, Manoj Kumar Bohra^* and Amisha Kirti Gupta

Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India

Abstract

Wireless communications and networking technology have developed rapidly in the past few years. As Artificial Intelligence (AI) technique is utilized, the network becomes more self-operational, self-configurational, and self-managed. Upcoming generations of wireless networks should be able to provide highly reliable and low-latency communication. Integrating fundamental concepts of artificial intelligence (AI) and machine learning into the wireless systems and user devices can become a big achievement. Artificial intelligence can help manage network systems more efficiently and make them autonomous as well, while significantly enhancing the performance. The current advances in machine learning and wireless communication technologies are a big breakthrough for future networks, which are expected to be reliable and intelligent.

Wireless communication infrastructure is an essential part of data transmission for the Internet of Things (IoT) also. 5G wireless systems and higher generation systems have the potential to provide services with high-range connectivity, ultra-high data speeds, low latency, high security, and extremely low energy consumption. To achieve this only AI can support the automation of the network systems. Applications of ...