Delay-Complexity Trade-Off of Random Linear Network Coding in Wireless Broadcast
In wireless broadcast, random linear network coding (RLNC) over GF(<inline-formula> <tex-math notation="LaTeX">2^{L} </tex-math></inline-formula>) is known to asymptotically achieve the optimal completion delay with increasing <inline-formula> <tex-math not...
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| Veröffentlicht in: | IEEE transactions on communications Jg. 68; H. 9; S. 5606 - 5618 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
IEEE
01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Schlagworte: | |
| ISSN: | 0090-6778, 1558-0857 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | In wireless broadcast, random linear network coding (RLNC) over GF(<inline-formula> <tex-math notation="LaTeX">2^{L} </tex-math></inline-formula>) is known to asymptotically achieve the optimal completion delay with increasing <inline-formula> <tex-math notation="LaTeX">L </tex-math></inline-formula>. However, the high decoding complexity hinders the potential applicability of RLNC schemes over large GF(<inline-formula> <tex-math notation="LaTeX">2^{L} </tex-math></inline-formula>). In this paper, a comprehensive analysis of completion delay and decoding complexity is conducted for field-based systematic RLNC schemes in wireless broadcast. In particular, we prove that the RLNC scheme over GF(2) can also asymptotically approach the optimal completion delay per packet when the packet number goes to infinity. Moreover, we introduce a new method, based on circular-shift operations, to design RLNC schemes which avoid multiplications over large GF(<inline-formula> <tex-math notation="LaTeX">2^{L} </tex-math></inline-formula>). Based on both theoretical and numerical analyses, the new RLNC schemes turn out to have a much better trade-off between completion delay and decoding complexity. In particular, numerical results demonstrate that the proposed schemes can attain average completion delay just within 5% higher than the optimal one, while the decoding complexity is only about 3 times the one of the RLNC scheme over GF(2). |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 0090-6778 1558-0857 |
| DOI: | 10.1109/TCOMM.2020.3001133 |