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
Proximal Policy Optimization for Energy-Efficient MEC Syste..:
, In:
2024 International Conference on Information Networking (ICOIN)
,
Aung, Pyae Sone
;
Moo Kang, Sun
;
Hong, Choong Seon
- p. 239-244 , 2024
Link:
https://doi.org/10.1109/ICOIN59985.2024.10572179
RT T1 <cTitle>2024 International Conference on Information Networking (ICOIN)</cTitle>: T1 <Title>Proximal Policy Optimization for Energy-Efficient MEC Systems with STAR-RIS Assistance</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10572179&Exemplar=1&LAN=DE A1 Aung, Pyae Sone A1 Moo Kang, Sun A1 Hong, Choong Seon YR 2024 K1 Energy consumption K1 Power control K1 Reconfigurable intelligent surfaces K1 Benchmark testing K1 Energy efficiency K1 Reflection K1 Stability analysis K1 Reconfigurable intelligent surface (RIS) K1 simultaneously transmitting and reflecting RIS (STAR-RIS) K1 mobile edge computing (MEC) K1 proximal policy optimization (PPO) K1 deep reinforcement learning (DRL) SP 239 OP 244 LK http://dx.doi.org/https://doi.org/10.1109/ICOIN59985.2024.10572179 DO https://doi.org/10.1109/ICOIN59985.2024.10572179 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
