Low-Delay Joint Source-Channel Mappings for the Gaussian MAC

The bivariate Gaussian multiterminal source coding problem with transmission over the Gaussian multiple-access channel is studied. We propose the use of low-delay joint source - channel mappings and show how performance saturation, which is unavoidable with linear transmission, can be overcome by op...

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Bibliographic Details
Published in:IEEE communications letters Vol. 18; no. 2; pp. 249 - 252
Main Authors: Kron, Johannes, Alajaji, Fady, Skoglund, Mikael
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.02.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Access methods and protocols, osi model
Algorithm design and analysis
Applied sciences
Coding, codes
correlated sources
Correlation
Exact sciences and technology
Gaussian multiple-access channel
Information, signal and communications theory
Joint source-channel coding
Joints
low-delay transmission
mean square error
multi-terminal source coding
Receivers
Signal and communications theory
Signal to noise ratio
Source coding
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Transmission and modulation (techniques and equipments)
Access control
Performance evaluation
Multiple access
Joint source-channel coding
Source coding
Gaussian multiple-access channel
Gaussian channel
Saturation
multi-terminal source coding
Mapping
Signalling
Joint source channel coding
Optimization
Mean square error
correlated sources
Error detection
Delay time
Error correction
Soft decision
Multiple channel
low-delay transmission
ISSN:1089-7798, 1558-2558, 1558-2558
Online Access:Get full text
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Description
Summary:The bivariate Gaussian multiterminal source coding problem with transmission over the Gaussian multiple-access channel is studied. We propose the use of low-delay joint source - channel mappings and show how performance saturation, which is unavoidable with linear transmission, can be overcome by optimizing the mappings. The optimized mappings are in general nonlinear and perform a combination of hard and soft decision signaling for the error-resilient transmission of analog data.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
1558-2558
DOI:10.1109/LCOMM.2013.120413.132088