dc.creator | Argyriou A., Alay Ö., Palantas P. | en |
dc.date.accessioned | 2023-01-31T07:32:54Z | |
dc.date.available | 2023-01-31T07:32:54Z | |
dc.date.issued | 2017 | |
dc.identifier | 10.1016/j.phycom.2017.05.003 | |
dc.identifier.issn | 18744907 | |
dc.identifier.uri | http://hdl.handle.net/11615/70773 | |
dc.description.abstract | In this paper, we develop accurate distortion models for the lossy transmission of two correlated sources in a multiple access Rayleigh fading channel. We focus on a class of real-life communication systems, where the source and channel coders have already been designed separately and can only be configured during the system operation. We investigate three different source coding schemes: distributed source coding (DSC), layered source coding, and independent compression through quantization. With the later scheme the sources are jointly decoded with minimum mean square error (MMSE) estimation at the receiver. We also consider two different transmission schemes: Orthogonal transmissions and interfering transmissions decoded with a successive interference cancellation (SIC) decoder. Our final closed-form analytical models are used to determine the optimal combination of source coding and transmission schemes, as well as their optimal configuration. Hence, we exercise joint source and channel coding (JSCC) by optimizing the system configuration. Through simulations, we first validate the analytical model and illustrate the performance of different schemes. Finally, we demonstrate the JSCC gains achieved by our system. © 2017 Elsevier B.V. | en |
dc.language.iso | en | en |
dc.source | Physical Communication | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019666923&doi=10.1016%2fj.phycom.2017.05.003&partnerID=40&md5=c055d4fc3f77348cc726f7122319e49f | |
dc.subject | Analytical models | en |
dc.subject | Codes (symbols) | en |
dc.subject | Communication channels (information theory) | en |
dc.subject | Decoding | en |
dc.subject | Fading channels | en |
dc.subject | Mean square error | en |
dc.subject | Optimization | en |
dc.subject | Rayleigh fading | en |
dc.subject | Trellis codes | en |
dc.subject | Wireless sensor networks | en |
dc.subject | Correlated data | en |
dc.subject | Distributed source coding | en |
dc.subject | Interference cancellation | en |
dc.subject | Multiple access channels | en |
dc.subject | Performance Model | en |
dc.subject | Multiple access interference | en |
dc.subject | Elsevier B.V. | en |
dc.title | Modeling the lossy transmission of correlated sources in multiple access fading channels | en |
dc.type | journalArticle | en |