Name
Abstract | ||
|---|---|---|
Random linear network coding is a promising coding scheme to increase the robustness and reliability of network systems. However, one of its major drawbacks is the high computational complexity. Sparse Network Coding (SNC) was proposed to reduce the computational complexity at the expense of larger communication overhead. However, the performance evaluation of SNC is still a major research topic d... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCOMM.2019.2896626 | IEEE Communications Letters |
Keywords | Field | DocType |
Sparse matrices,Decoding,Probability distribution,Mathematical model,Analytical models,Network coding,Computational complexity | Linear network coding,Computer science,Algorithm,Real-time computing,Coding (social sciences),Robustness (computer science),Probability distribution,Decoding methods,Sparse matrix,Computational complexity theory | Journal |
Volume | Issue | ISSN |
23 | 4 | 1089-7798 |
Citations | PageRank | References |
2 | 0.40 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadi Sehat | 1 | 2 | 1.75 |
| Peyman Pahlevani | 2 | 62 | 6.98 |