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
$\alpha$-OMC: Cost-Aware Deep Learning for Mobile Network R..:
, In:
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
,
Bega, Dario
;
Gramaglia, Marco
;
Fiore, Marco
.. - p. 423-428 , 2019
Link:
https://doi.org/10.1109/INFCOMW.2019.8845178
RT T1
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
: T1
$\alpha$-OMC: Cost-Aware Deep Learning for Mobile Network Resource Orchestration
UL https://suche.suub.uni-bremen.de/peid=ieee-8845178&Exemplar=1&LAN=DE A1 Bega, Dario A1 Gramaglia, Marco A1 Fiore, Marco A1 Banchs, Albert A1 Costa-Perez, Xavier YR 2019 K1 Forecasting K1 Resource management K1 5G mobile communication K1 Economics K1 Neurons SP 423 OP 428 LK http://dx.doi.org/https://doi.org/10.1109/INFCOMW.2019.8845178 DO https://doi.org/10.1109/INFCOMW.2019.8845178 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)