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Mixed-numerology Signals Transmission and Interference Cancellation for Radio Access Network Slicing

Yang, Bowen, Zhang, Lei, Onireti, Oluwakayode, Xiao, Pei, Imran, Muhammad Ali and Tafazolli, Rahim (2020) Mixed-numerology Signals Transmission and Interference Cancellation for Radio Access Network Slicing IEEE Transactions on Wireless Communications. pp. 1-14.

Mixed-numerology Signals Transmission - AAM.pdf - Accepted version Manuscript

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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: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Yang, Bowen
Onireti, Oluwakayode
Imran, Muhammad
Date : 28 April 2020
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/TWC.2020.2989399
Copyright Disclaimer : © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Radio access network slicing (RAN slicing); Generalized circular convolution property; Inter-service/slice-band-interference (ISBI); Multi-service; Multi/mixed-numerology
Depositing User : Clive Harris
Date Deposited : 28 May 2020 13:25
Last Modified : 28 May 2020 13:25

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