Joint precoding and pre-equalization for faster-than-nyquist transmission over multipath fading channels

Wen, S., Liu, G., Liu, C., Qu, H., Zhang, L. and Imran, M. A. (2022) Joint precoding and pre-equalization for faster-than-nyquist transmission over multipath fading channels. IEEE Transactions on Vehicular Technology, 71(4), pp. 3948-3963. (doi: 10.1109/TVT.2022.3146423)

Abstract

Faster-than-Nyquist signaling (FTNS) has emerged as a promising technique to increase communication capacity in bandwidth-limited channels. However, the presence of FTN-induced inter-symbol interference (FTN-ISI) in the received observations, is detrimental to channel estimation (CE) and data detection in terms of computational complexity and performance. This paper copes with these problems by incorporating linear pre-equalization (LPE) and composite precoding formed by linear spectral precoding and Tomlinson-Harashima precoding (THP), into the FTNS. Specifically, LPE completely pre-equalizes the FTN-ISI, while spectral precoding resolves the LPE-caused signal spectral broadening by introducing proper artificial ISI, which is pre-equalized by THP. Channel-induced ISI, as the only ISI component in the observations, is estimated and equalized using the classical frequency-domain low-complexity schemes. We show that there are four advantages of the LPE-aided CE over the CE designed for the FTN transmissions without FTN-ISI pre-equalization, namely lower pilot overhead, simpler yet optimal pilot sequence design, lower mean-squared error of CE, and more robust against the FTN-ISI. Simulation results show that our scheme improves the performance of CE and detection, compared to existing FTN frequency-domain CE and equalization schemes.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei and Imran, Professor Muhammad and Liu, Chengxiang
• Authors: Wen, S., Liu, G., Liu, C., Qu, H., Zhang, L., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering
• Journal Name: IEEE Transactions on Vehicular Technology
• Publisher: IEEE
• ISSN: 0018-9545
• ISSN (Online): 1939-9359
• Published Online: 27 January 2022
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in IEEE Transactions on Vehicular Technology 71(4): 3948-3963
• Publisher Policy: Reproduced in accordance with the publisher copyright policy