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Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Decoding Aided Non-coherent Detection

Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Decoding Aided Non-coherent Detection
Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Decoding Aided Non-coherent Detection
We propose a novel near-capacity Multiple-Symbol Differential Decoding (MSDD) aided cooperative Differential Linear Dispersion Code (DLDC) scheme, which exhibits a high grade of system design flexibility in terms of relays selection and rate allocation. More specifically, 36-component IRregular Convolutional Code (IRCC) encoded and Unity Rate Coded (URC) differential PSK (DPSK) symbols are transmitted from the source node to both the relays and the destination during the first transmission period. Three-stage iterative DPSK MSDD is performed at the relays. Each relay re-encodes the bits and performs DLDC aided transmissions during the second transmission interval. The system has the freedom to choose, which particular DLDC code to use depending on both the number of relays available in the network, as well as on their position, and a range of related throughput and complexity considerations. As a low-complexity design alternative, a single-component Recursive Systematic Convolutional (RSC) code as well as Multiple-Symbol Differential Sphere Decoding (MSDSD) can be employed, if the system cannot afford the decoding complexity of the 36-component IRCC and MSDD scheme.
978-1-61284-231-8
1-5
Xu, Chao
349b7322-fd17-4fcd-a49f-c62afe284d50
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xu, Chao
349b7322-fd17-4fcd-a49f-c62afe284d50
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Xu, Chao, Ng, Soon and Hanzo, Lajos (2011) Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Decoding Aided Non-coherent Detection. ICC 2011, Kyoto, Japan. 05 - 09 Jun 2011. pp. 1-5 .

Record type: Conference or Workshop Item (Other)

Abstract

We propose a novel near-capacity Multiple-Symbol Differential Decoding (MSDD) aided cooperative Differential Linear Dispersion Code (DLDC) scheme, which exhibits a high grade of system design flexibility in terms of relays selection and rate allocation. More specifically, 36-component IRregular Convolutional Code (IRCC) encoded and Unity Rate Coded (URC) differential PSK (DPSK) symbols are transmitted from the source node to both the relays and the destination during the first transmission period. Three-stage iterative DPSK MSDD is performed at the relays. Each relay re-encodes the bits and performs DLDC aided transmissions during the second transmission interval. The system has the freedom to choose, which particular DLDC code to use depending on both the number of relays available in the network, as well as on their position, and a range of related throughput and complexity considerations. As a low-complexity design alternative, a single-component Recursive Systematic Convolutional (RSC) code as well as Multiple-Symbol Differential Sphere Decoding (MSDSD) can be employed, if the system cannot afford the decoding complexity of the 36-component IRCC and MSDD scheme.

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More information

Published date: 11 June 2011
Additional Information: Event Dates: June 5-9, 2011
Venue - Dates: ICC 2011, Kyoto, Japan, 2011-06-05 - 2011-06-09
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271934
URI: http://eprints.soton.ac.uk/id/eprint/271934
ISBN: 978-1-61284-231-8
PURE UUID: dad6eeca-8edf-480b-8b3f-6897db58e379
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 11:48
Last modified: 18 Mar 2024 02:48

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Contributors

Author: Chao Xu
Author: Soon Ng ORCID iD
Author: Lajos Hanzo ORCID iD

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