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
Deep Learning-Based Intelligent Dual Connectivity for Mobil..:
, In:
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
,
Wang, Chujie
;
Zhao, Zhifeng
;
Sun, Qi
. - p. 1-5 , 2018
Link:
https://doi.org/10.1109/VTCFall.2018.8690554
RT T1
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
: T1
Deep Learning-Based Intelligent Dual Connectivity for Mobility Management in Dense Network
UL https://suche.suub.uni-bremen.de/peid=ieee-8690554&Exemplar=1&LAN=DE A1 Wang, Chujie A1 Zhao, Zhifeng A1 Sun, Qi A1 Zhang, Honggang YR 2018 SN 2577-2465 K1 Logic gates K1 Handover K1 Trajectory K1 Ultra-dense networks K1 History K1 Prediction algorithms K1 Deep Learning K1 LSTM K1 Mobility Prediction K1 Mobility Management K1 Dual Connectivity K1 Ultra-Dense Network SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/VTCFall.2018.8690554 DO https://doi.org/10.1109/VTCFall.2018.8690554 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)