Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134095
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: Low-complexity zero-forcing equalization for MIMO SC-FDMA terahertz communications
Author: Shehata, M.
Wang, K.
Withayachumnankul, W.
Citation: IEEE transactions on systems, man, and cybernetics. Systems, 2021, pp.1-5
Publisher: IEEE
Publisher Place: online
Issue Date: 2021
ISBN: 9781728184395
ISSN: 2168-2216
Conference Name: 2021 Fourth International Workshop on Mobile Terahertz Systems (IWMTS) (5 Jul 2021 - 6 Jul 2021 : Essen, Germany)
Statement of
Responsibility: 
Mohamed Shehata, Ke Wang, Withawat Withayachumnankul
Abstract: Multiple input-multiple output (MIMO) transmission diversity has proven to be a spectrally-efficient technique that multiplies the capacities of band-limited wireless channels. However, employing this technique to the inherently bandwidth-generous terahertz technologies results in massive data volumes, which calls for computationally-affordable signal processing techniques. In this paper, we propose an implementation for zero-forcing (ZF) equalizers in single-carrier frequency domain multiple access (SC-FDMA) MIMO systems operating at terahertz frequencies, where the high-speed processing of massive data is of paramount importance. The proposed method explores the sparseness of the MIMO channel matrix to reduce the computational complexity. Simulation results show that the proposed equalizer is comparable to the conventional ZF equalizer in terms of the bit error rate (BER), with a much lower computational complexity. The proposed equalization approach can be considered as a potentially significant step towards the implementation of real-time terahertz communications applications.
Keywords: Frequency domain equalization (FDE), multiple input-multiple output (MIMO), single carrier-frequency division multiple access (SC-FDMA), terahertz communications, zeroforcing (ZF)
Rights: ©2021 Crown
DOI: 10.1109/IWMTS51331.2021.9486747
Grant ID: http://purl.org/au-research/grants/arc/DP180103561
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.