A deep learning approach for LoS/NLoS identification via PRACH in UAV-assisted public safety networks

vastutusandmed
Davide Scazzoli, Maurizio Magarini, Luca Reggiani, Yannick Le Moullec, Muhammad Mahtab Alam
allikas
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, August 31 - September 3, 2020 in London, United Kingdom : proceedings
ilmumiskoht
Danvers
kirjastus/väljaandja
ilmumisaasta
leheküljed
6 p
konverentsi nimetus, aeg
IEEE 31st International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), August 31 - September 3, 2020
konverentsi toimumispaik
London, United Kingdom
ISSN
1558-2612
ISBN
978-1-7281-4490-0
märkused
Bibliogr.: 21 ref
keel
inglise
Scazzoli, D., Magarini, M., Reggiani, L., Le Moullec, Y., Mahtab Alam, M. A deep learning approach for LoS/NLoS identification via PRACH in UAV-assisted public safety networks // 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, August 31 - September 3, 2020 in London, United Kingdom : proceedings. Danvers : IEEE, 2020. 6 p.