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
Using Deep Reinforcement Learning for 5G RAN Slicing Resour..:
, In:
2023 9th International Conference on Computer and Communications (ICCC)
,
Ma, Ding
;
Wang, Yang
;
Wu, Sai
. - p. 1164-1169 , 2023
Link:
https://doi.org/10.1109/ICCC59590.2023.10507505
RT T1
2023 9th International Conference on Computer and Communications (ICCC)
: T1
Using Deep Reinforcement Learning for 5G RAN Slicing Resource Allocation in New Power Load Management System
UL https://suche.suub.uni-bremen.de/peid=ieee-10507505&Exemplar=1&LAN=DE A1 Ma, Ding A1 Wang, Yang A1 Wu, Sai A1 Wang, Wanqiao YR 2023 SN 2837-7109 K1 5G mobile communication K1 Heuristic algorithms K1 Simulation K1 Power system dynamics K1 Load management K1 Regulation K1 Real-time systems K1 new power load management system K1 communication requirements K1 5G K1 network slicing K1 deep reinforcement learning K1 resource allocation SP 1164 OP 1169 LK http://dx.doi.org/https://doi.org/10.1109/ICCC59590.2023.10507505 DO https://doi.org/10.1109/ICCC59590.2023.10507505 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)