Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2022.2084588
Inter-node compression with LDPC joint source–channel coding for highly correlated sources
Marwa Ben Abdessalem
; National Engineering School of Tunis, SysCom Laboratory, University of Tunis El Manar, Tunis, Tunisia
Amin Zribi
; ICT Department, Higher Institute of Communication Technologies (ISETCom), Ariana, Tunisia
Ammar Bouallègue
; National Engineering School of Tunis, SysCom Laboratory, University of Tunis El Manar, Tunis, Tunisia
Sažetak
This paper investigates a new communication system where two nodes want to disseminate highly correlated contents to a single destination and can be applied for densely deployed wireless sensors networks applications. Motivated by their capacity-achieving performance and existing practical implementations, the proposed communication scheme is fully based on Low-Density Parity-Check (LDPC) codes for data compression and channel coding. More specifically, we consider a network of two correlated binary sources with two orthogonal communication phases. Data are encoded at the first source with an LDPC channel code and broadcast in the first phase. Based on the first source received data, the second source computes the correlation vector and applies a Joint Source–Channel (JSC) LDPC code, which output is communicated in the second phase. At the receiver, the whole network is mapped on a joint factor graph over which an iterative message-passing joint decoder is proposed. The aim of the joint decoder is to exploit the residual correlation between the sources for better estimation. Simulation results are investigated and compared to the theoretical limits and to an LDPC-based distributed coding system where no inter-node compression is applied.
Ključne riječi
Data compression; distributed system; correlated sources; LDPC codes; joint source/channel coding
Hrčak ID:
287874
URI
Datum izdavanja:
13.6.2022.
Posjeta: 286 *