The University of Southampton
University of Southampton Institutional Repository

Reduced-Complexity Noncoherently Detected Differential Space-Time Shift Keying

Reduced-Complexity Noncoherently Detected Differential Space-Time Shift Keying
Reduced-Complexity Noncoherently Detected Differential Space-Time Shift Keying
Motivated by the recent development of Spatial Modulation (SM) and Differential Space-Time Shift Keying (DSTSK), we propose a reduced-complexity Conventional Differential Detector (CDD) as well as its reduced-complexity Multiple-Symbol Differential Sphere Detector (MSDSD) counterpart for DSTSK. Both schemes operate on a symbol-by-symbol basis in order to reduce the complexity of the classic block-by-block-based CDD and MSDSD, whilst still approaching the optimum performance of the full-search-based Maximum Likelihood (ML) detector. More explicitly, we carefully consider the objective function to be used for decoding the index of the specific antenna activated by taking into account the particular modulation scheme employed. Our simulation results demonstrate that the proposed CDD and MSDSD designed for DSTSK guarantee a significant complexity reduction compared to the classic block-based decoders, especially for high-rate DSTSK schemes, which is achieved without a performance penalty.
1505-1510
Xu, Chao
349b7322-fd17-4fcd-a49f-c62afe284d50
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xu, Chao
349b7322-fd17-4fcd-a49f-c62afe284d50
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Xu, Chao, Sugiura, Shinya, Ng, Soon and Hanzo, Lajos (2011) Reduced-Complexity Noncoherently Detected Differential Space-Time Shift Keying. WCNC 2011, Cancun, Mexico. 27 - 30 Mar 2011. pp. 1505-1510 . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

Motivated by the recent development of Spatial Modulation (SM) and Differential Space-Time Shift Keying (DSTSK), we propose a reduced-complexity Conventional Differential Detector (CDD) as well as its reduced-complexity Multiple-Symbol Differential Sphere Detector (MSDSD) counterpart for DSTSK. Both schemes operate on a symbol-by-symbol basis in order to reduce the complexity of the classic block-by-block-based CDD and MSDSD, whilst still approaching the optimum performance of the full-search-based Maximum Likelihood (ML) detector. More explicitly, we carefully consider the objective function to be used for decoding the index of the specific antenna activated by taking into account the particular modulation scheme employed. Our simulation results demonstrate that the proposed CDD and MSDSD designed for DSTSK guarantee a significant complexity reduction compared to the classic block-based decoders, especially for high-rate DSTSK schemes, which is achieved without a performance penalty.

Text
PID1618201.pdf - Other
Download (166kB)

More information

Accepted/In Press date: 10 January 2011
Additional Information: Event Dates: 28-31 March 2011
Venue - Dates: WCNC 2011, Cancun, Mexico, 2011-03-27 - 2011-03-30
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271933
URI: http://eprints.soton.ac.uk/id/eprint/271933
PURE UUID: 70f2d9aa-f182-4b33-aad4-7c872156dc70
ORCID for Soon Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 21 Jan 2011 11:41
Last modified: 29 Sep 2020 01:33

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×