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Artificial Intelligence and Cognitive Computing for 6G Communications & Networks

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.10, No. 3)

Publication Date:

Authors : ;

Page : 26-31

Keywords : 6G networks; Artificial Intelligence; Remote networks; device-to-device (D2D) technologies; and massive machine-type communications (mMTC);

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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.

Last modified: 2021-03-17 01:17:30