Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment

TT Nguyen, N Yoza-Mitsuishi, R Caromi - IEEE Access, 2023 - ieeexplore.ieee.org
In the spectrum sharing band, unlicensed devices are managed by automated frequency
coordination (AFC) systems to protect incumbent services from interference. Thus, it is …
被引用次数：4 相关文章

[引用][C] Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment

TT Nguyen, N Yoza-Mitsuishi, R Caromi - IEEE Access, 2023 - ui.adsabs.harvard.edu
Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment - NASA/ADS Now on
home page ads icon ads Enable full ADS view NASA/ADS Deep Learning for Path Loss …
[PDF] nist.gov

[PDF][PDF] Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment

TT NGUYEN, N YOZA-MITSUISHI, R CAROMI - tsapps.nist.gov
In the 6 GHz spectrum sharing band, unlicensed devices are managed by automated
frequency coordination (AFC) systems to protect incumbent services from interference. Thus …

Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment

TT Nguyen, NY Mitsuishi, R Caromi - 2023 - nist.gov
In the 6 GHz spectrum sharing band, unlicensed devices are managed by automated
frequency coordination (AFC) systems to protect incumbent services from interference. Thus …

[引用][C] Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment

TT Nguyen, NY Mitsuishi, R Caromi - 2023 - nist.gov