Name
Abstract | ||
|---|---|---|
Building accurate interference maps is critical for performing reliable and efficient spectrum allocation. In this work, we use empirical data to explore the feasibility of using measurement-calibrated propagation models to build accurate interference models. Our work shows that calibrated propagation models generate location-dependent signal prediction errors. Such error pattern leads to conservative conflict graphs that actually improve the reliability of spectrum allocations by reducing the impact of unpredicted accumulative interference. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/DYSPAN.2012.6478150 | DySPAN |
Field | DocType | ISBN |
Graph theory,Graph,Radiowave propagation,Algorithm,Signal prediction,Theoretical computer science,Interference (wave propagation),Frequency allocation,Telecommunication network reliability,Mathematics | Conference | 978-1-4673-4446-3 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xia Zhou | 1 | 1264 | 70.59 |
| Zengbin Zhang | 2 | 536 | 27.05 |
| Gang Wang | 3 | 465 | 25.30 |
| Xiaoxiao Yu | 4 | 47 | 3.74 |
| Ben Y. Zhao | 5 | 6274 | 490.12 |
| Haitao Zheng | 6 | 1073 | 70.54 |