Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel With Burst and Random Erasures

In a real-time transmission scenario, messages are transmitted through a channel that is subject to packet loss. The destination must recover the messages within the required deadline. In this paper, we consider a setup where two different types of messages with distinct decoding deadlines are transmitted through a channel model that introduces either one burst erasure of length at most B, or N random erasures in any fixed-sized sliding window. The message with a short decoding deadline <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {u}}$ </tex-math></inline-formula> is referred to as an urgent message, while the other one with a decoding deadline <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {v}}$ </tex-math></inline-formula> (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {v}} \gt T_{\mathrm {u}}$ </tex-math></inline-formula>) is referred to as a less urgent message. We consider the scenario where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {v}} \gt T_{\mathrm {u}} + B$ </tex-math></inline-formula> and propose a non-trivial achievable region <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {R}$ </tex-math></inline-formula> for the aforementioned channel model. We propose a novel merging approach to encode two message streams of different urgency levels into a single flow and present explicit constructions for encoding, contributing to the establishment of the achievability of region <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {R}$ </tex-math></inline-formula>. Our comprehensive analysis demonstrates that this region encompasses the rate pairs of existing encoding schemes and coincides with the capacity region in burst channel scenarios. Lastly, we investigate the property of the achievable region <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {R}$ </tex-math></inline-formula>, proving that it is the largest one obtained from all the rate pairs under the merging method.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2024-11-05
DOI
https://doi.org/10.1109/tcomm.2024.3492098
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel With Burst and Random Erasures

Zhiquan Tan, Zhongyi Huang, Dingli Yuan
IEEE Transactions on Communications
Cooperative Communication and Network Coding
article

Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel With Burst and Random Erasures

Zhiquan Tan, Zhongyi Huang, Dingli Yuan
article en

Abstract

In a real-time transmission scenario, messages are transmitted through a channel that is subject to packet loss. The destination must recover the messages within the required deadline. In this paper, we consider a setup where two different types of messages with distinct decoding deadlines are transmitted through a channel model that introduces either one burst erasure of length at most B, or N random erasures in any fixed-sized sliding window. The message with a short decoding deadline <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {u}}$ </tex-math></inline-formula> is referred to as an urgent message, while the other one with a decoding deadline <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {v}}$ </tex-math></inline-formula> (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {v}} \gt T_{\mathrm {u}}$ </tex-math></inline-formula>) is referred to as a less urgent message. We consider the scenario where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$T_{\mathrm {v}} \gt T_{\mathrm {u}} + B$ </tex-math></inline-formula> and propose a non-trivial achievable region <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {R}$ </tex-math></inline-formula> for the aforementioned channel model. We propose a novel merging approach to encode two message streams of different urgency levels into a single flow and present explicit constructions for encoding, contributing to the establishment of the achievability of region <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {R}$ </tex-math></inline-formula>. Our comprehensive analysis demonstrates that this region encompasses the rate pairs of existing encoding schemes and coincides with the capacity region in burst channel scenarios. Lastly, we investigate the property of the achievable region <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {R}$ </tex-math></inline-formula>, proving that it is the largest one obtained from all the rate pairs under the merging method.

IEEE Transactions on CommunicationsVol. 73(5)
Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Cooperative Communication and Network Coding
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