Modeling the lossy transmission of correlated sources in multiple access fading channels

Argyriou, Antonios; Alay, Özgü; Palantas, Panagiotis

doi:10.1016/j.phycom.2017.05.003

Cited by 3 publications

(1 citation statement)

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“…Several extensions have been considered in the literature. For instance, distributed source coding [3]- [5] refers to the case where several sources are encoded separately and must be recovered by one single decoder. On the opposite, Sgarro [6] Section IV of this paper was presented at DCC 2018 and published as a one-page abstract in the proceedings of this conference.…”

Section: Introductionmentioning

confidence: 99%

Rate-storage regions for Extractable Source Coding with side information

Dupraz

Roumy

Maugey

et al. 2019

Physical Communication

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This papers considers the coding of a source X with J decoders, each having access to a different side information Y (j). We define a new source coding problem called Extractable Source Coding with Side Information (ESC-SI). In this problem, the server stores one single coded description of the source, from which J descriptions can be extracted without re-encoding, depending on the side information available at the decoder. We want to minimize both the storage rate of the source on the server, and the J transmission rates from the server to the decoders. We provide the achievable storage-transmission rate regions for lossless source coding of general, non i.i.d., non-ergodic sources, and the achievable storagetransmission rate-distortion regions for lossy source coding for non i.i.d. Gaussian sources. The regions obtained for such general source models provide insightful design guidelines for practical applications.

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Section: Introductionmentioning

confidence: 99%