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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Vydané v:	IEEE communications letters Ročník 18; číslo 2; s. 249 - 252
Hlavní autori:	Kron, Johannes, Alajaji, Fady, Skoglund, Mikael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.02.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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Popis
Shrnutí:	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.
Bibliografia:	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