Title | Joint Source-Channel Coding for the Transmission of Correlated Sources over Two-Way Channels |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Weng, Jian-Jian, Alajaji, Fady, Linder, Tamás |
Conference Name | 2019 IEEE International Symposium on Information Theory (ISIT) |
Keywords | adaptive codes, adaptive coding, channel capacity, channel coding, channel noise, combined source-channel coding, composability, Correlation, correlation-preserving coding scheme, Decoding, discrete-memoryless two-way channels, distortion, DM-TWC, genie-aided argument, hybrid coding, hybrid digital-analog coding, Indexes, joint source-channel coding, joint source-channel coding scheme, lossy transmission, Metrics, Network information theory, Propagation losses, pubcrawl, rate-one separate source-channel coding, Resiliency, source-channel system, two-way channels, two-way lossy transmission |
Abstract | A joint source-channel coding (JSCC) scheme based on hybrid digital/analog coding is proposed for the transmission of correlated sources over discrete-memoryless two-way channels (DM-TWCs). The scheme utilizes the correlation between the sources in generating channel inputs, thus enabling the users to coordinate their transmission to combat channel noise. The hybrid scheme also subsumes prior coding methods such as rate-one separate source-channel coding and uncoded schemes for two-way lossy transmission, as well as the correlation-preserving coding scheme for (almost) lossless transmission. Moreover, we derive a distortion outer bound for the source-channel system using a genie-aided argument. A complete JSSC theorem for a class of correlated sources and DM-TWCs whose capacity region cannot be enlarged via interactive adaptive coding is also established. Examples that illustrate the theorem are given. |
DOI | 10.1109/ISIT.2019.8849577 |
Citation Key | weng_joint_2019 |