Optimal filter length and zero padding length design for Universal Filtered Multi-carrier (UFMC) system

Zhang, L., Ijaz, A., Xiao, P., Wang, K., Qiao, D. and Imran, M. A. (2019) Optimal filter length and zero padding length design for Universal Filtered Multi-carrier (UFMC) system. IEEE Access, 7, pp. 21687-21701. (doi:10.1109/ACCESS.2019.2898322)

Zhang, L., Ijaz, A., Xiao, P., Wang, K., Qiao, D. and Imran, M. A. (2019) Optimal filter length and zero padding length design for Universal Filtered Multi-carrier (UFMC) system. IEEE Access, 7, pp. 21687-21701. (doi:10.1109/ACCESS.2019.2898322)

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Abstract

Universal filtered multi-carrier (UFMC) systems offer flexibility of filtering arbitrary number of subcarriers to suppress out of band emission while keeping the orthogonality between subcarriers and robustness to transceiver imperfections. Such properties enable it as a promising candidate waveform for the Internet of Things communications. However, subband filtering may affect system performance and capacity in a number of ways. In this paper, we first propose the conditions for interference-free one-tap equalization and corresponding signal model in the frequency domain for the UFMC system. The impact of subband filtering on the system performance is analyzed in terms of average signal-to-noise ratio, capacity and bit error rate (BER), and compared with the orthogonal frequency division multiplexing system. This is followed by filter length selection strategies to provide guidelines for system design. Next, by taking carrier frequency offset, timing offset, insufficient guard interval between symbols, and filter tail cutting (TC) into consideration, an analytical system model is established. In addition, a set of optimization criteria in terms of filter length and guard interval/filter TC length subject to various constraints is formulated to maximize the system capacity. The numerical results show that the analytical and corresponding optimal approaches match the simulation results, and the proposed equalization algorithms can significantly improve the BER performance.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei and Imran, Professor Muhammad
Authors: Zhang, L., Ijaz, A., Xiao, P., Wang, K., Qiao, D., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Access
Publisher:IEEE
ISSN:2169-3536
ISSN (Online):2169-3536
Published Online:08 February 2019
Copyright Holders:Copyright © 2019 IEEE
First Published:First published in IEEE Access 7: 21687-21701
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3044810Resource Orchestration for Diverse Radio SystemsLei ZhangEngineering and Physical Sciences Research Council (EPSRC)EP/S02476X/1ENG - Systems Power & Energy