DOI: 10.18178/wcse.2020.02.021
Artificial Intelligence based 6G Intelligent IOT: Unfolding an Analytical Concept for Future Hybrid Communication Systems
Abstract— The Internet of Things (IOT) is a new paradigm for wireless communication networks with access to artificial intelligence (AI). The conventional cellular network is experienced with two major issues such as spectrum scarcity and insufficient intelligent autonomous competency. These problems are required to be addressed otherwise it will obstruct the massive deployment of next generation applications. The concept of the next generation communication network, creates the opportunity to design a network with number of sensors in the paradigm of IOT to process large data. In this paper, we present a novel 6G intelligent IOT paradigm to optimize communication channels and process big data intelligently. Firstly, we present the proposed architecture of 6G intelligent IOT paradigm, then we discuss the enabling technologies in relation to our proposed concept. In 6G scenario, AI is not very effective as compared to the physical layer (PHY), however, it provides flexibility and agility to the air interface with enhanced efficiency. We discuss AI based 6G air interface architecture, based on our proposed paradigm. Finally, we evaluate the results through simulation by comparing our propose paradigm with 5G-IOT and 5G intelligent IOT. Simulation results confirm that our proposed paradigm out performs the others.
Index Terms— Artificial intelligence, cognition cycle, deep learning, super massive-MIMO, 6G
Muhammad Haroon Siddiqui, Kiran Khurshid, Imran Rashid, Adnan Ahmed Khan
National University of Sciences and Technology, PAKISTAN
Cite: Muhammad Haroon Siddiqui, Kiran Khurshid, Imran Rashid, Adnan Ahmed Khan, "Artificial Intelligence based 6G Intelligent IOT: Unfolding an Analytical Concept for Future Hybrid Communication Systems," Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering (WCSE 2020), pp. 122-129, Yangon (Rangoon), Myanmar (Burma), February 26-28, 2020.