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 trans...

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Published inIEEE transactions on communications Vol. 73; no. 5; pp. 2921 - 2935
Main Authors Yuan, Dingli, Tan, Zhiquan, Huang, Zhongyi
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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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> <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> <tex-math notation="LaTeX">T_{\mathrm {v}} </tex-math></inline-formula> (<inline-formula> <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> <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> <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> <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> <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.
AbstractList 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> <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> <tex-math notation="LaTeX">T_{\mathrm {v}} </tex-math></inline-formula> (<inline-formula> <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> <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> <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> <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> <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.
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 [Formula Omitted] is referred to as an urgent message, while the other one with a decoding deadline [Formula Omitted] ([Formula Omitted]) is referred to as a less urgent message. We consider the scenario where [Formula Omitted] and propose a non-trivial achievable region [Formula Omitted] 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 [Formula Omitted]. 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 [Formula Omitted], proving that it is the largest one obtained from all the rate pairs under the merging method.
Author Tan, Zhiquan
Huang, Zhongyi
Yuan, Dingli
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Snippet In a real-time transmission scenario, messages are transmitted through a channel that is subject to packet loss. The destination must recover the messages...
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SubjectTerms Codes
Coding
Deadlines
Decoding
Delays
Encoding
Forward error correction
Forward error correction (FEC)
maximum distance separable (MDS) codes
Merging
Messages
Multiplexing
Real time
Redundancy
sliding window
streaming codes
Streams
Vectors
Title Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel With Burst and Random Erasures
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