지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) Journal of Information Processing Systems Vol.20 No.2
- 발행연도
- 2024.4
- 수록면
- 226 - 238 (13page)
- DOI
- 10.3745/JIPS.03.0194
이용수
초록· 키워드
오류제보하기
Recently, multi-access edge computing (MEC) has emerged as a promising technology to alleviate thecomputing burden of vehicular terminals and efficiently facilitate vehicular applications. The vehicle canimprove the quality of experience of applications by offloading their tasks to MEC servers. However, channelconditions are time-varying due to channel interference among vehicles, and path loss is time-varying due tothe mobility of vehicles. The task arrival of vehicles is also stochastic. Therefore, it is difficult to determine anoptimal offloading with resource allocation decision in the dynamic MEC system because offloading is affectedby wireless data transmission. In this paper, we study computation offloading with resource allocation in thedynamic MEC system. The objective is to minimize power consumption and maximize throughput whilemeeting the delay constraints of tasks. Therefore, it allocates resources for local execution and transmissionpower for offloading. We define the problem as a Markov decision process, and propose an offloading methodusing deep reinforcement learning named deep deterministic policy gradient. Simulation shows that, comparedwith existing methods, the proposed method outperforms in terms of throughput and satisfaction of delayconstraints.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Dynamic Offloading Policy for Multi-user MEC System using Deep Reinforcement Learning
한국통신학회 학술대회논문집
2020 .08
-
Joint Resource Allocation and Task Offloading in Space-Aerial-Assisted MEC System
한국정보과학회 학술발표논문집
2022 .06
-
Dynamic Computation Offloading Based on Q-Learning for UAV-Based Mobile Edge Computing
스마트미디어저널
2023 .04
-
Microsoft Azure의 Edge Computing을 통한 MEC 오프로딩 비율 결정 및 알고리즘 실증 분석
대한전자공학회 학술대회
2022 .11
-
Task Offloading in UAV-Assisted MEC Systems to Maximize User Satisfaction
한국통신학회 학술대회논문집
2024 .11
-
MEC 서버를 이용한 자율주행 서비스 연구
제어로봇시스템학회 국내학술대회 논문집
2023 .06
-
LEO Satellite MEC Networks: Joint Offloading and Resource Allocation using Deep Reinforcement Learning
한국통신학회 학술대회논문집
2024 .06
-
Strategy for Task Offloading of Multi-user and Multi-server Based on Cost Optimization in Mobile Edge Computing Environment
JIPS(Journal of Information Processing Systems)
2021 .01
-
Delay-aware Computation Offloading Based-on Task Segmentation for IIoT System
한국통신학회 학술대회논문집
2019 .11
-
모바일 엣지 컴퓨팅(MEC)을 위한 BiLSTM을 이용한 심층 강화 학습 기반 태스크 오프로딩 알고리즘
멀티미디어학회논문지
2024 .08
-
A Survey on Task Offloading and Resource Allocation in LEO satellite- Enabled MEC Networks Using DRL
한국통신학회 학술대회논문집
2024 .11
-
Energy-Efficient Offloading and User Association in UAV-assisted Vehicular Ad Hoc Network
한국통신학회 APNOMS
2020 .09
-
Coded Computation 기반 위성 네트워크에서의 Task Offloading 기법
한국통신학회 학술대회논문집
2024 .06
-
Task Offloading for Metaverse based Application
한국통신학회 학술대회논문집
2022 .06
-
Towards Computation Offloading in NOMA-assisted Multi-Access Edge Computing
한국정보과학회 학술발표논문집
2019 .12
-
An Optimized Computation Offloading and Resource Allocation Strategy in Mobile Edge Computing Using Deep Reinforcement Learning
한국정보과학회 학술발표논문집
2022 .06
-
엣지 컴퓨팅에서의 지연 시간을 고려한 task offloading 기법 연구
한국통신학회 학술대회논문집
2019 .01
-
Performance and Energy aware Switch Mechanism in Mobile Computation Offloading
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2017 .06
-
모바일 엣지 컴퓨팅 환경에서의 태스크 오프로딩 알고리즘
한국통신학회논문지
2021 .02
-
Game Theory Based Dynamic Computation Offloading in MEC-Enabled Vehicular Networks
정보과학회 컴퓨팅의 실제 논문지
2022 .04
최근 본 자료
댓글(0)
0