Name
Abstract | ||
|---|---|---|
In this letter, a novel angular sampling method–random offset sampling (ROS) is proposed for the simulation of ray-based physical reference channel models. This new method employs an asymmetrical random angular offset to the equal power sampling method, which makes the simulated channel match the spatial–temporal characteristics of the reference channel model more exactly. It is shown that this new method can make better utilization of the symmetrical property of power angular spectrum distributions with very limited sampling sinusoids, especially performing pretty well in case of small angular spread. With small modifications, ROS can be directly embedded in the state-of-the-art standardized channel simulation models. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/lwc.2019.2918787 | IEEE Wireless Communications Letters |
Keywords | Field | DocType |
Correlation,Sampling methods,Channel models,Laplace equations,Simulation,Complexity theory,Measurement | Channel models,Mathematical optimization,Communication channel,Algorithm,Simulation modeling,Emulation,Sampling (statistics),Angular spectrum method,Mathematics,Offset (computer science) | Journal |
Volume | Issue | ISSN |
8 | 5 | 2162-2337 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiang Zhang | 1 | 167 | 15.28 |
| Zhiqiang Yuan | 2 | 1 | 1.03 |
| Lei Tian | 3 | 87 | 12.96 |
| Jianhua Zhang | 4 | 716 | 91.23 |