I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An online deep learning based channel estimation method for..:
, In:
2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
,
Bai, XuDong
;
Peng, Qi
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/VTC2023-Spring57618.2023.10199..
RT T1 <cTitle>2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)</cTitle>: T1 <Title>An online deep learning based channel estimation method for mmWave massive MIMO systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10199214&Exemplar=1&LAN=DE A1 Bai, XuDong A1 Peng, Qi YR 2023 SN 2577-2465 K1 Training K1 Deep learning K1 Vehicular and wireless technologies K1 Simulation K1 Channel estimation K1 Massive MIMO K1 Artificial neural networks K1 channel estimation K1 online deep learning K1 mmWave MIMO SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/VTC2023-Spring57618.2023.10199214 DO https://doi.org/10.1109/VTC2023-Spring57618.2023.10199214 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
