Alex Mathew, International Journal of Computer Science and Mobile Computing, Vol.10 Issue.3, March- 2021, pg. 26-31 © 2021, IJCSMC All Rights Reserved 26 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 7.056 IJCSMC, Vol. 10, Issue. 3, March 2021, pg.26 – 31 Artificial Intelligence and Cognitive Computing for 6G Communications & Networks Alex Mathew Department of Cybersecurity, Bethany College, USA amathew@bethanywv.edu DOI: 10.47760/ijcsmc.2021.v10i03.003 Abstract— With the fast improvement of smart infrastructures and terminals, as well as an enhanced applications (such as augmented and virtual reality, holographic projection and remote surgery) with vivid prerequisites, modern networks (forthcoming 5G and 4G networks) will most likely be unable to satisfy the rapidly rising traffic needs. Likewise, efforts from both the scholarly and academia realm have effectively been put to the examination on 6G systems. Lately, man-made intelligence (AI) has been widely used as another worldview for the plan and enhancement of 6G systems with an undeniable degree of knowledge. Accordingly, the paper proposes AI-empowered architecture engineering for 6G systems to acknowledge information discovery, intelligent service provisioning, mechanic system adjustment, and smart resource management where the network architecture if segregated in four layers: smart application layer, intelligent control layer, information search and logic layer, and intelligent sensing layer. The article further survey and examine the uses of AI techniques for 6G organizations and expand how to utilize the AI procedures to efficiently and viably streamline the exaction of networks, including smart spectrum management, handover management, intelligent mobility, and AI-empowered mobile edge computing. The paper also highlights crucial future study directions and possible solutions for 6G networks such as energy management, hardware development, algorithms robustness, and computation efficiency. Keywords— 6G networks, Artificial Intelligence, Remote networks, device-to-device (D2D) technologies, and massive machine-type communications (mMTC) I. INTRODUCTION Wireless systems have developed from the 1G system to the impending 5G frameworks with varied considerations such as spectrum utilization, coverage, energy efficiency, reliability, end-to-end latency, and data rate. 5G systems have three fundamental kinds of utilization situations: low latency communication (URLLC) to account for the underpinning diverse services (Letaief et al., 2019). Therefore, device-to-device (D2D) technologies, massive multiple-input multiple-output (MIMO), and technologies including millimeter-wave (mmWave) are used to offer customers better services (QoS) and nature of involvement (QoE), as well as to enhance the network productivity.