On Transmission of Multiresolution Gaussian Sources over Noisy Relay Networks

This paper investigates joint source-channel coding (JSCC) in a decode-and-forward three-node relay network, in which scalable source coding (SSC) is coupled with superposition coding (SPC) to form a layered coding architecture of SSC-SPC. In contrast to any previously reported research using asympt...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on wireless communications Jg. 12; H. 7; S. 3170 - 3179
Hauptverfasser: Ho, J., Pin-Han Ho
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.07.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Access methods and protocols, osi model
Allocations
Applied sciences
Architecture
Asymptotic properties
Channels
Coding
Coding, codes
Decoding
Distortion
Encoding
End-to-end distortion
Error analysis
Error probability
Exact sciences and technology
Information, signal and communications theory
joint source channel coding
relay
Relay networks
Relays
Resource management
scalable video
Signal and communications theory
Signal to noise ratio
Studies
superposition coding
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Wireless communication
Performance evaluation
Relay
Relay network
Error probability
Source coding
Scalability
Transmission protocol
End-to-end distortion
Power allocation
Joint source channel coding
scalable video
Multiresolution analysis
Nodes
Optimization
Mean square error
superposition coding
Numerical simulation
Routing protocols
ISSN:1536-1276, 1558-2248
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper investigates joint source-channel coding (JSCC) in a decode-and-forward three-node relay network, in which scalable source coding (SSC) is coupled with superposition coding (SPC) to form a layered coding architecture of SSC-SPC. In contrast to any previously reported research using asymptotic capacity-based distortion (CBD) measure, we derive the mean-squared error end-to-end distortion (EED) of such JSCC system based on a real-valued Gaussian source, aiming to achieve better precision and practicality for applications in which channels are subject to large error probabilities. The EED evaluation is formulated and applied to demonstrate achievable gains of the SSC-SPC architecture versus a number of conventional approaches. Power allocation optimization is performed based on the developed non-asymptotic EED model and compared to that by using an asymptotic CBD measure in which symbol losses caused by channel error cannot be considered. We demonstrate the performance gaps between results solved from EED versus CBD in our numerical example, and conclude that the optimization using CBD behaves awkwardly in computing proper power allocation configurations in the considered SSC-SPC architecture.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2013.052813.120596