Research Article
Robust and Low-Complexity Cooperative Spectrum Sensing via Low-Rank Matrix Recovery in Cognitive Vehicular Networks
| Parameter | Value |
| Road length (Highway) | 1000 m |
| Road length | W-E: 1000 m | (Road intersection in Urban) | N-S: 800 m |
| Lanes (Highway) | 4-lanes |
| Lanes (Road intersection in Urban) | 4-lanes |
| Traffic light timing | cycle = 100 s | (Road intersection in Urban) | red = 50 s, green = 50 s |
| Traffic flow (Highway) | 0-3000 veh/h |
| Traffic flow | NS-SS: 0-1800 veh/h | (Road intersection in Urban) | ES-WS: 0-2700 veh/h |
| Speed limit (Highway) | 50 m/s (180 km/h) |
| Speed limit (Urban) | 20 m/s (72 km/h) |
| SU mobility model | Wiedemann model [23] |
| Number of subbands | 20 |
| Bandwidth of each subband BW | 200 kHz |
| Single/noise power | 27dBm/-110dBm |
| ā | 100 |
| Sample time | 0.1ms |
| The path-loss exponent | 2-6 |
| shadowing dB-spread | 2-20 dB |
| Simulation step for VISSIM | 0.1s |
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