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Transmission of Spatio-Temporal Correlated Sources Over Fading Multiple Access Channels With DQLC Mappings

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http://hdl.handle.net/2183/34561
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  • Investigación (FIC) [1678]
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Título
Transmission of Spatio-Temporal Correlated Sources Over Fading Multiple Access Channels With DQLC Mappings
Autor(es)
Fresnedo, Óscar
Suárez-Casal, Pedro
Castedo, Luis
Data
2019-08
Cita bibliográfica
Ó. Fresnedo, P. Suárez-Casal and L. Castedo, "Transmission of Spatio-Temporal Correlated Sources Over Fading Multiple Access Channels With DQLC Mappings," in IEEE Transactions on Communications, vol. 67, no. 8, pp. 5604-5617, Aug. 2019, doi: 10.1109/TCOMM.2019.2912571.
É version de
https://doi.org/ 10.1109/TCOMM.2019.2912571
Resumo
[Abstract]: The design of zero-delay Joint Source-Channel Coding (JSCC) schemes for the transmission of correlated information over fading Multiple Access Channels (MACs) is an interesting problem for many communication scenarios like Wireless Sensor Networks (WSNs). Among the different JSCC schemes so far proposed for this scenario, Distributed Quantizer Linear Coding (DQLC) represents an appealing solution since it is able to outperform uncoded transmissions for any correlation level at high Signal-to-Noise Ratios (SNRs) with a low computational cost. In this paper, we extend the design of DQLC-based schemes for fading MACs considering sphere decoding to make the optimal Minimum Mean Squared Error (MMSE) estimation computationally affordable for an arbitrary number of transmit users. The use of sphere decoding also allows to formulate a practical algorithm for the optimization of DQLC-based systems. Finally, non-linear Kalman Filtering for the DQLC is considered to jointly exploit the temporal and spatial correlation of the source symbols. The results of computer experiments show that the proposed DQLC scheme with the Kalman Filter decoding approach clearly outperforms uncoded transmissions for medium and high SNRs.
Palabras chave
Multiuser channels
Correlation
Mean square error methods
Kalman filter
 
Descrición
© 2019 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/ 10.1109/TCOMM.2019.2912571.
Versión do editor
https://doi.org/ 10.1109/TCOMM.2019.2912571
Dereitos
© 2019 IEEE. All rights reserved. Todos os dereitos reservados.
ISSN
0090-6778

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