Ramirez-Gutierrez, R, Zhang, L, Yang, L-L et al. (1 more author) (2017) LR based pre-coding aided spatial modulation with sub-optimal detection for V2X communications. In: Wireless Communication Systems (ISWCS), 2017 International Symposium on. ISWCS 2017 – 14th International Symposium on Wireless Communication Systems, 28-31 Aug 2017, Bologna, Italy. IEEE , pp. 117-121. ISBN 978-1-5386-2913-0
Abstract
In this manuscript, a novel transmit pre-coding matrix generation method and a linear decoding scheme are proposed for the generalised pre-coding aided spatial modulation (GPSM) system. The GPSM scheme proposed recently is a new multiple input multiple output (MIMO) transmission technique, which conveys information by activating a subset of receive antennas with the aid of transmit pre-coding. This scheme seems to be suitable in V2X since the base station only transmits data to certain users/vehicles. The proposed pre-coding matrix is based on the lattice reduction (LR) principle and provides significant performance improvement over the original pre-coding design in GPSM. Furthermore, as the GPSM in large-scale antenna systems, which is a trend in future communication systems, might be too complex to be implemented with the maximum likelihood (ML) detection, a linear decoding method is proposed to reduce the implementation complexity. Our studies show that the performance degradation caused by the linear detector can be compensated by the proposed LR based pre-coding. As a result, the LR based GPSM with linear detection is capable of achieving the comparable performance as that of the original GPSM scheme employing ML detection, while with significantly decreased detection complexity.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, 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. |
Keywords: | Receiving antennas; Detectors; MIMO; Lattices; Complexity theory; Transmitting antennas |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number EPSRC EP/H040536/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Apr 2018 09:54 |
Last Modified: | 17 May 2018 11:56 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISWCS.2017.8108094 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130096 |