URLLC in beyond 5G and 6G networks: an interference management perspective

Siddiqui, M. U. A., Abumarshoud, H. , Bariah, L., Muhaidat, S., Imran, M. A. and Mohjazi, L. (2023) URLLC in beyond 5G and 6G networks: an interference management perspective. IEEE Access, 11, pp. 54639-54663. (doi: 10.1109/ACCESS.2023.3282363)

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Ultra-reliable and low-latency communications (URLLC) is one of the cornerstone services of fifth-generation and beyond (B5G) wireless networks. The URLLC use cases demand strict block error probability and very low-latency targets, and thus even a small 32 byte of payload corruption could be detrimental to the user experience and the overall system performance. Ideally, the current heterogeneous network model and innovative technologies have paved the way for the seamless optimization of B5G URLLC applications. Yet, unprecedented interference issues due to the uncoordinated nature of modern wireless networks, innovative radio access techniques, and frequency reuse methods can significantly affect the performance of the URLLC systems. Therefore, the understanding and mitigation of all types of interference associated with each URLLC technology, deployment scenario, and wireless transmission mode are prudent. In this regard, many authors have recently presented interpretative and analytical studies on the management of interference issues, however, the discussion was limited to application-centric approaches and earlier research trends. In this review article, we primarily discuss different types of interference challenges related to the URLLC systems using contemporary designs, frameworks, access modes, and enabling technologies for B5G and sixth-generation (6G) communication networks. We present state-of-the-art research work, in-depth analysis of interference problems, and guidance on the futuristic 6G URLLC technologies and communication networks. This study intends to provide a holistic vision of B5G/6G URLLC systems, their empirical aspects, limitations, essential techniques, and an outlook toward future research avenues.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Bariah, Dr Lina and Siddiqui, Maraj Uddin Ahmed and Imran, Professor Muhammad and Abumarshoud, Dr Hanaa and Mohjazi, Dr Lina
Authors: Siddiqui, M. U. A., Abumarshoud, H., Bariah, L., Muhaidat, S., Imran, M. A., and Mohjazi, L.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:IEEE Access
ISSN (Online):2169-3536
Published Online:02 June 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in IEEE Access 11:54639-54663
Publisher Policy:Reproduced under a Creative Commons License

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