Unequal Error Protection Random Linear Coding Strategies for Erasure Channels
In this paper, we provide the performance analysis of unequal error protection (UEP) random linear coding (RLC) strategies designed for transmission of source messages containing packets of different importance over lossy packet erasure links. By introducing the probabilistic encoding framework, we...
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| Vydáno v: | IEEE transactions on communications Ročník 60; číslo 5; s. 1243 - 1252 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.05.2012
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0090-6778, 1558-0857 |
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| Abstract | In this paper, we provide the performance analysis of unequal error protection (UEP) random linear coding (RLC) strategies designed for transmission of source messages containing packets of different importance over lossy packet erasure links. By introducing the probabilistic encoding framework, we first derive the general performance limits for the packet-level UEP coding strategies that encode the packets of each importance class of the source message independently (non-overlapping windowing strategy) or jointly (expanding windowing strategy). Then, we demonstrate that the general performance limits of both strategies are achievable by the probabilistic encoding over non-overlapping and expanding windows based on RLC and the Gaussian Elimination (GE) decoding. Throughout the paper, we present a number of examples that investigate the performance and optimization of code design parameters of the expanding window RLC strategy and compare it with the non-overlapping RLC strategy selected as a reference. |
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| AbstractList | In this paper, we provide the performance analysis of unequal error protection (UEP) random linear coding (RLC) strategies designed for transmission of source messages containing packets of different importance over lossy packet erasure links. By introducing the probabilistic encoding framework, we first derive the general performance limits for the packet-level UEP coding strategies that encode the packets of each importance class of the source message independently (non-overlapping windowing strategy) or jointly (expanding windowing strategy). Then, we demonstrate that the general performance limits of both strategies are achievable by the probabilistic encoding over non-overlapping and expanding windows based on RLC and the Gaussian Elimination (GE) decoding. Throughout the paper, we present a number of examples that investigate the performance and optimization of code design parameters of the expanding window RLC strategy and compare it with the non-overlapping RLC strategy selected as a reference. |
| Author | Vukobratovic, D. Stankovic, V. |
| Author_xml | – sequence: 1 givenname: D. surname: Vukobratovic fullname: Vukobratovic, D. email: dejanv@uns.ac.rs organization: Dept. of Power, Electron. & Commun. Eng., Univ. of Novi Sad, Novi Sad, Serbia – sequence: 2 givenname: V. surname: Stankovic fullname: Stankovic, V. email: vladimir.stankovic@eee.strath.ac.uk organization: Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK |
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| Keywords | Performance evaluation Packet switching Design criterion unequal error protection Probabilistic approach Lossy medium Decoding Random coding Optimization random linear coding Linear coding Network coding Error correction |
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| SubjectTerms | Applied sciences Coding Coding, codes Decoding Encoding Error correction codes Exact sciences and technology Forward error correction Germanium Information, signal and communications theory Messages Network coding Packet transmission Probabilistic logic Probabilistic methods Probability theory random linear coding Receivers Signal and communications theory Strategy Studies Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory unequal error protection Upper bound |
| Title | Unequal Error Protection Random Linear Coding Strategies for Erasure Channels |
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