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On the Performance Analysis of Streaming Codes over the Gilbert-Elliott Channel

Vajha, M and Ramkumar, V and Jhamtani, M and Kumar, PV (2021) On the Performance Analysis of Streaming Codes over the Gilbert-Elliott Channel. In: 2021 IEEE Information Theory Workshop, ITW 2021, 17-21 Oct 2021, Virtual, Online.

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Official URL: https://doi.org/10.1109/ITW48936.2021.9611448


The Gilbert-Elliot (GE) channel is a commonlyaccepted model for packet erasures in networks. Streaming codes are a class of packet-level erasure codes designed to provide reliable communication over the GE channel. The design of a streaming code may be viewed as a two-step process. In the first, a more tractable, delay-constrained sliding window (DCSW) channel model is considered as a proxy to the GE channel. The streaming code is then designed to reliably recover from all erasures introduced by the DCSW channel model. Simulation is typically used to evaluate the performance of the streaming code over the original GE channel, as analytic performance evaluation is challenging. In the present paper, we take an important first step towards analytical performance evaluation. Recognizing that most, efficient constructions of a streaming code are based on the diagonal embedding or horizontal embedding of scalar block codes within a packet stream, this paper provides upper and lower bounds on the block-erasure probability of the underlying scalar block code when operated over the GE channel.A full version of this paper is accessible at 1. © 2021 IEEE.

Item Type: Conference Paper
Publication: 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Embeddings, Channel modelling; Embeddings; Erasure codes; Gilbert-Elliot channel; Gilbert-Elliott channel; In networks; Packet level; Performances analysis; Reliable communication; Sliding Window, Block codes
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 07 Feb 2022 12:15
Last Modified: 07 Feb 2022 12:15
URI: http://eprints.iisc.ac.in/id/eprint/71262

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