| Year |
Citation |
Score |
| 2020 |
Lin M, Zhao Y. Artificial intelligence-empowered resource management for future wireless communications: A survey China Communications. 17: 58-77. DOI: 10.23919/Jcc.2020.03.006 |
0.389 |
|
| 2017 |
li J, Zhao Y, Tao C, Ai B. System Design and Calibration for Wideband Channel Sounding With Multiple Frequency Bands Ieee Access. 5: 781-793. DOI: 10.1109/Access.2017.2649679 |
0.36 |
|
| 2015 |
Li J, Zhao Y, Zhang J, Jiang R, Tao C, Tan Z. Radio channel measurements and analysis at 2.4/5GHz in subway tunnels China Communications. 12: 36-45. DOI: 10.1109/Cc.2015.7084382 |
0.387 |
|
| 2012 |
Zhao Y, Morales-Tirado L. Cognitive Radio: Forging ahead from Concept, Testbed to Large-Scale Deployment Journal of Communications. 7: 514-523. DOI: 10.4304/Jcm.7.7.514-523 |
0.47 |
|
| 2012 |
Liu L, Tao C, Zhou T, Zhao Y, Yin X, Chen H. A highly efficient channel sounding method based on cellular communications for high-speed railway scenarios Eurasip Journal On Wireless Communications and Networking. 2012. DOI: 10.1186/1687-1499-2012-307 |
0.409 |
|
| 2012 |
Li J, Zhao Y. Radio environment map-based cognitive Doppler spread compensation algorithms for high-speed rail broadband mobile communications Eurasip Journal On Wireless Communications and Networking. 2012: 263. DOI: 10.1186/1687-1499-2012-263 |
0.465 |
|
| 2010 |
He A, Bae KK, Newman TR, Gaeddert J, Kim K, Menon R, Morales-Tirado L, Neel J, Zhao Y, Reed JH, Tranter WH. A survey of artificial intelligence for cognitive radios Ieee Transactions On Vehicular Technology. 59: 1578-1592. DOI: 10.1109/Tvt.2010.2043968 |
0.474 |
|
| 2010 |
Zhao Y, Mao S, Reed JH, Huang Y. Utility function selection for streaming videos with a cognitive engine testbed Mobile Networks and Applications. 15: 446-460. DOI: 10.1007/S11036-009-0200-7 |
0.494 |
|
| Show low-probability matches. |