Symbol detection with network coding in wireless channels
Article
| Article Title | Symbol detection with network coding in wireless channels |
|---|---|
| ERA Journal ID | 5068 |
| Article Category | Article |
| Authors | Cao, Lei (Author) and Xiang, Wei (Author) |
| Journal Title | IEEE Communications Letters |
| Journal Citation | 17 (8), pp. 1528-1531 |
| Number of Pages | 4 |
| Year | 2013 |
| Place of Publication | United States |
| ISSN | 1089-7798 |
| 1558-2558 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/LCOMM.2013.062113.130314 |
| Web Address (URL) | https://ieeexplore.ieee.org/document/6550871 |
| Abstract | For multi-sources transmitting to a common sink with assistance of relays where network coding is used, different symbols may experience different fading and noise levels, and there is a need to calculate the average symbol detection error probability at the receiver. In this letter, we present a method that closely bounds the error performance when log-likelihood ratio (LLR) detection is used. The method integrates two techniques including the union bound based on the bit-level input-output weight enumerate function (IOWEF) in coding and the maximum ratio combining (MRC) in diversity analysis. The method is applicable to any network coding matrix used at relay. |
| Keywords | diversity; input-output weight enumerate function; network coding; union bound |
| ANZSRC Field of Research 2020 | 400607. Signal processing |
| 400604. Network engineering | |
| 461301. Coding, information theory and compression | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | University of Mississippi, United States |
| School of Mechanical and Electrical Engineering | |
| Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q20zz/symbol-detection-with-network-coding-in-wireless-channels
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