Practical Source- Network Decoding

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Gerhard Maierbacher (Author) FEUP; J. Barros (Author) FEUP; M. Medard (Author) FEUP

Conference proceedings International

Title: 2009 6TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS 2009)

Pages: 283-287

6th IEEE International Symposium on Wireless Communication Systems (ISWCS 09)

Siena, ITALY, SEP 07-10, 2009

Indexing

ISI Web of Science

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

DOI: 10.1109/ISWCS.2009.5285249

Abstract (EN): When correlated sources are to be communicated over a network to more than one sink, joint source-network coding is, in general, required for information theoretically optimal transmission. Whereas on the encoder side simple randomized schemes based on linear codes suffice, the decoder is required to perform joint source-network decoding which is computationally expensive. Focusing on maximum a-posteriori decoders (or, in the case of continuous sources, conditional mean estimators), we show how to exploit (structural) knowledge about the network topology as well as the source correlations giving rise to an efficient decoder implementation (in some cases even with linear dependency on the number of nodes). In particular, we show how to statistically represent the overall system (including the packets) by a factor-graph on which the sum-product algorithm can be run. A proof-of-concept is provided in the form of a working decoder for the case of three sources and two sinks.

Language: English

Type (Professor's evaluation): Scientific