The University of Southampton
University of Southampton Institutional Repository

Switching Threshold and Coding-Rate Optimisation for Turbo Convolutional and Turbo BCH Coded Adaptive Modulation

Switching Threshold and Coding-Rate Optimisation for Turbo Convolutional and Turbo BCH Coded Adaptive Modulation
Switching Threshold and Coding-Rate Optimisation for Turbo Convolutional and Turbo BCH Coded Adaptive Modulation
Decision Feedback Equaliser (DFE) aided turbo coded wideband Adaptive Quadrature Amplitude Modulation (AQAM) is capable of accommodating the temporal channel quality variation of fading channels. A procedure is suggested for determining the AQAM switching thresholds and the specific turbo coding rates capable of maintaining the target BER, while aiming for achieving a high effective Bits Per Symbol (BPS) throughput. Subsequently, the performances of both turbo convolutional (TC) and turbo BCH (TBCH) coded fixed and adaptive modulation schemes are characterised and compared when communication over the COST 207 Typical Urban (TU) wideband fading channel. It was found that at a given throughput the set of TBCH coded fixed modulation schemes considered outperforms the corresponding TC counterparts, when using a high latency turbo and channel interleaver. However, both schemes have a similar performance, when applied in conjunction with adaptive modulation.
2167-2171
Liew, T.H.
a431a389-23f9-4360-9c85-8f4265770636
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Liew, T.H.
a431a389-23f9-4360-9c85-8f4265770636
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Liew, T.H. and Hanzo, L. (2003) Switching Threshold and Coding-Rate Optimisation for Turbo Convolutional and Turbo BCH Coded Adaptive Modulation. VTC'2003 (Spring), Jeju Island, Korea. 22 - 25 Apr 2003. pp. 2167-2171 .

Record type: Conference or Workshop Item (Paper)

Abstract

Decision Feedback Equaliser (DFE) aided turbo coded wideband Adaptive Quadrature Amplitude Modulation (AQAM) is capable of accommodating the temporal channel quality variation of fading channels. A procedure is suggested for determining the AQAM switching thresholds and the specific turbo coding rates capable of maintaining the target BER, while aiming for achieving a high effective Bits Per Symbol (BPS) throughput. Subsequently, the performances of both turbo convolutional (TC) and turbo BCH (TBCH) coded fixed and adaptive modulation schemes are characterised and compared when communication over the COST 207 Typical Urban (TU) wideband fading channel. It was found that at a given throughput the set of TBCH coded fixed modulation schemes considered outperforms the corresponding TC counterparts, when using a high latency turbo and channel interleaver. However, both schemes have a similar performance, when applied in conjunction with adaptive modulation.

Text
thl-lh-vtc03spring.pdf - Other
Download (438kB)

More information

Published date: 2003
Additional Information: Event Dates: 22-25 April 2003
Venue - Dates: VTC'2003 (Spring), Jeju Island, Korea, 2003-04-22 - 2003-04-25
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258397
URI: http://eprints.soton.ac.uk/id/eprint/258397
PURE UUID: f4196606-5112-404f-b636-523aacf97296
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 24 Oct 2003
Last modified: 18 Mar 2024 02:33

Export record

Contributors

Author: T.H. Liew
Author: L. Hanzo ORCID iD

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.

×