Mixed-numerology signals transmission and interference cancellation for radio access network slicing

Yang, B., Zhang, L. , Onireti, O. , Xiao, P., Imran, M. A. and Tafazolli, R. (2020) Mixed-numerology signals transmission and interference cancellation for radio access network slicing. IEEE Transactions on Wireless Communications, 19(8), pp. 51321-5147. (doi: 10.1109/TWC.2020.2989399)

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Abstract

A clear understanding of mixed-numerology signals multiplexing and isolation in the physical layer is of importance to enable spectrum efficient radio access network (RAN) slicing, where the available access resource is divided into slices to cater to services/users with optimal individual design. In this paper, a RAN slicing framework is proposed and systematically analyzed from a physical layer perspective. According to the baseband and radio frequency (RF) configurations imparities among slices, we categorize four scenarios and elaborate on the numerology relationships of slices configurations. By considering the most generic scenario, system models are established for both uplink and downlink transmissions. Besides, a low out of band emission (OoBE) waveform is implemented in the system for the sake of signal isolation and inter-service/slice-band-interference (ISBI) mitigation. We propose two theorems as the basis of algorithms design in the established system, which generalize the original circular convolution property of discrete Fourier transform (DFT). Moreover, ISBI cancellation algorithms are proposed based on a collaboration detection scheme, where joint slices signal models are implemented. The framework proposed in the paper establishes a foundation to underpin extremely diverse user cases in 5G that implement on a common infrastructure.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Zhang, Dr Lei and Yang, Bowen and Onireti, Oluwakayode
Authors: Yang, B., Zhang, L., Onireti, O., Xiao, P., Imran, M. A., and Tafazolli, R.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Wireless Communications
Publisher:IEEE
ISSN:1536-1276
ISSN (Online):1558-2248
Published Online:28 April 2020
Copyright Holders:Copyright © 2020 IEEE
First Published:First published in IEEE Transactions on Wireless Communications 19(8): 5132-5147
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304481Resource Orchestration for Diverse Radio SystemsLei ZhangEngineering and Physical Sciences Research Council (EPSRC)EP/S02476X/1ENG - Systems Power & Energy