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Near-Capacity Transceiver Design Using Exit-Curve Fitting: Three-Stage Turbo Detection of Irregular Convolutional Coded Joint Sphere-Packing Modulation and Space-Time Coding

Alamri, O., Wang, J., Ng, S.X., Yang, L.-L. and Hanzo, L. (2007) Near-Capacity Transceiver Design Using Exit-Curve Fitting: Three-Stage Turbo Detection of Irregular Convolutional Coded Joint Sphere-Packing Modulation and Space-Time Coding At IEEE ICC 2007, United Kingdom. 24 - 28 Jun 2007. , pp. 4028-4033.

Record type: Conference or Workshop Item (Paper)

Abstract

Conventional two-stage turbo-detected schemes typically suffer from a Bit Error Rate (BER) floor, preventing them from achieving infinitesimally low BER values, especially, when the inner coding stage is of non-recursive nature. We circumvent this deficiency by proposing a three-stage turbo-detected Sphere Packing (SP) aided Space-Time Block Coding (STBC) STBC-SP scheme, where a rate-1 recursive inner precoder is employed to avoid having a BER floor. The convergence behaviour of this serially concatenated scheme is investigated with the aid of 3D Extrinsic Information Transfer (EXIT) Charts. Furthermore, the capacity of the STBC-SP scheme is shown and an algorithm is proposed for calculating a tighter upper bound on the maximum achievable bandwidth efficiency. The proposed three-stage turbo-detected scheme operates within about 1.0 dB of the capacity and within 0.5 dB of the maximum achievable bandwidth efficiency limit.

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More information

Published date: 2007
Additional Information: Event Dates: 24-28 June 2007
Venue - Dates: IEEE ICC 2007, United Kingdom, 2007-06-24 - 2007-06-28
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264582
URI: http://eprints.soton.ac.uk/id/eprint/264582
PURE UUID: 7f1d0454-fb46-4da6-9891-1017e3ba8fad
ORCID for L.-L. Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 23 Sep 2007
Last modified: 18 Jul 2017 07:34

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Contributors

Author: O. Alamri
Author: J. Wang
Author: S.X. Ng
Author: L.-L. Yang ORCID iD
Author: L. Hanzo

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