Mixed numerologies interference analysis and inter-numerology interference cancellation for windowed OFDM systems

Zhang, X., Zhang, L. , Xiao, P., Ma, D., Wei, J. and Xin, Y. (2018) Mixed numerologies interference analysis and inter-numerology interference cancellation for windowed OFDM systems. IEEE Transactions on Vehicular Technology, 67(8), pp. 7047-7061. (doi: 10.1109/TVT.2018.2826047)

Abstract

Extremely diverse service requirements are one of the critical challenges for the upcoming fifth-generation (5G) radio access technologies. As a solution, mixed numerologies transmission is proposed as a new radio air interface by assigning different numerologies to different subbands. However, coexistence of multiple numerologies induces the inter-numerology interference (INI), which deteriorates the system performance. In this paper, a theoretical model for INI is established for windowed orthogonal frequency division multiplexing (W-OFDM) systems. The analytical expression of the INI power is derived as a function of the channel frequency response of interfering subcarrier, the spectral distance separating the aggressor and the victim subcarrier, and the overlapping windows generated by the interferer's transmitter windows and the victim's receiver window. Based on the derived INI power expression, a novel INI cancellation scheme is proposed by dividing the INI into a dominant deterministic part and an equivalent noise part. A soft-output ordered successive interference cancellation (OSIC) algorithm is proposed to cancel the dominant interference, and the residual interference power is utilized as effective noise variance for the calculation of log-likelihood ratios (LLRs) for bits. Numerical analysis shows that the INI theoretical model matches the simulated results, and the proposed interference cancellation algorithm effectively mitigates the INI and outperforms the state-of-the-art W-OFDM receiver algorithms.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei
• Authors: Zhang, X., Zhang, L., Xiao, P., Ma, D., Wei, J., and Xin, Y.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Transactions on Vehicular Technology
• Publisher: IEEE
• ISSN: 0018-9545
• ISSN (Online): 1939-9359
• Published Online: 12 April 2018
• Copyright Holders: Copyright © 2018 IEEE
• First Published: First published in IEEE Transactions on Vehicular Technology 67(8):7047-7061
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher