Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential Detection
Near-Capacity Irregular Convolutional Coded Cooperative Differential Linear Dispersion Codes Using Multiple-Symbol Differential 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 the choice of activated relays and the DLDC's rate allocation. More specifically, the system has the freedom to activate a range of DLDCs depending on both the number of relays available in the network, as well as on their position, throughput and complexity considerations.
173-176
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 Detection.
IEEE Signal Processing Letters, 18 (3), .
(In Press)
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 the choice of activated relays and the DLDC's rate allocation. More specifically, the system has the freedom to activate a range of DLDCs depending on both the number of relays available in the network, as well as on their position, throughput and complexity considerations.
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05682393.pdf
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Accepted/In Press date: 2011
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 272000
URI: http://eprints.soton.ac.uk/id/eprint/272000
PURE UUID: 2aa4c25b-ec8c-4e8b-b4cc-833bf5f384d3
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Date deposited: 09 Feb 2011 17:22
Last modified: 15 Mar 2024 02:57
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Contributors
Author:
Chao Xu
Author:
Soon Ng
Author:
Lajos Hanzo
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