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) JIPS(Journal of Information Processing Systems) 제17권 제4호
- 발행연도
- 2021.8
- 수록면
- 721 - 736 (16page)
- DOI
- 10.3745/JIPS.01.0079
이용수
초록· 키워드
오류제보하기
For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm ofcomputing and communication resources based on reinforcement learning is proposed. The energyconsumption of task execution is defined as the maximum energy consumption of each user's task execution inthe system. Considering the constraints of task unloading, power allocation, transmission rate and calculationresource allocation, the problem of joint task unloading and resource allocation is modeled as a problem ofmaximum task execution energy consumption minimization. As a mixed integer nonlinear programmingproblem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcementlearning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basisof reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment.
Based on the algorithm of reinforcement learning and joint allocation of communication resources, the jointoptimization of data task unloading and power control strategy is carried out for each terminal device, and thelocal computing model and task unloading model are built. The simulation results show that the total taskcomputation cost of the proposed algorithm is 5%?10% less than that of the two comparison algorithms underthe same task input. At the same time, the total task computation cost of the proposed algorithm is more than5% less than that of the two new comparison algorithms.
목차
등록된 정보가 없습니다.
참고문헌 (7)
참고문헌 신청
P. Mach / 2017 / Mobile edge computing : a survey on architecture and computation offloading / IEEE Communications Surveys & Tutorials 19(3):1628~1656
Y. Mao / 2017 / A survey on mobile edge computing : the communication perspective / IEEE Communications Surveys & Tutorials 19(4):2322~2358
Z. Wei / 2018 / Dynamic edge computation offloading for internet of things with energy harvesting : a learning method / IEEE Internet of Things Journal 6(3):4436~4447
T. Q. Dinh / 2017 / Offloading in mobile edge computing : task allocation and computational frequency scaling / IEEE Transactions on Communications 65(8):3571~3584
Z. Zhang / 2019 / Collaborative task offloading with computation result reusing for mobile edge computing / The Computer Journal 62(10):1450~1462
Y. Mao / 2017 / A survey on mobile edge computing : the communication perspective / IEEE Communications Surveys & Tutorials 19(4):2322~2358
Z. Wei / 2018 / Dynamic edge computation offloading for internet of things with energy harvesting : a learning method / IEEE Internet of Things Journal 6(3):4436~4447
T. Q. Dinh / 2017 / Offloading in mobile edge computing : task allocation and computational frequency scaling / IEEE Transactions on Communications 65(8):3571~3584
Z. Zhang / 2019 / Collaborative task offloading with computation result reusing for mobile edge computing / The Computer Journal 62(10):1450~1462
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Dynamic Resource Allocation for Edge Computing: Cell-Free vs Cellular MEC Systems
한국통신학회 학술대회논문집
2022 .06
-
LEO Satellite MEC Networks: Joint Offloading and Resource Allocation using Deep Reinforcement Learning
한국통신학회 학술대회논문집
2024 .06
-
Delay optimization in MEC federation environment based on QoS level and resource allocation using Deep Learning method
한국통신학회 학술대회논문집
2023 .02
-
Joint Resource Allocation and Task Offloading in Space-Aerial-Assisted MEC System
한국정보과학회 학술발표논문집
2022 .06
-
[학부생 논문] Mobile Edge Computing (MEC) 개념을 이용한 MEC 동영상 서비스 구현
한국정보과학회 학술발표논문집
2017 .12
-
MEC 서버를 이용한 자율주행 서비스 연구
제어로봇시스템학회 국내학술대회 논문집
2023 .06
-
5G를 위한 MEC 기술동향
[ETRI] 전자통신동향분석
2016 .02
-
Computation Offloading with Resource Allocation Based on DDPG in MEC
JIPS(Journal of Information Processing Systems)
2024 .04
-
Microsoft Azure의 Edge Computing을 통한 MEC 오프로딩 비율 결정 및 알고리즘 실증 분석
대한전자공학회 학술대회
2022 .11
-
5G MEC 환경에서의 마이크로 코어 네트워크에 관한 연구
한국통신학회 학술대회논문집
2020 .02
-
Energy-Efficient User Association and Resource Allocation in MEC-Enabled UAV-Assisted Network
한국정보과학회 학술발표논문집
2020 .07
-
Federated Deep Reinforcement Learning for Intelligent Joint Resource Allocation in Cell-Free Mobile Edge Computing Network
한국통신학회 학술대회논문집
2022 .02
-
사용자 유사도 기반 Cooperative MEC 콘텐츠 캐싱
한국통신학회논문지
2020 .12
-
사용자 중심 네트워크 기반 MEC 콘텐츠 캐싱
한국정보과학회 학술발표논문집
2020 .07
-
5G MEC 기술 및 표준화 동향
한국정보기술학회지
2020 .06
-
A Distributed Resource Allocation Game with Task centric Association in MEC enabled Ultra-Dense Networks
한국정보과학회 학술발표논문집
2019 .06
-
The impact of Sentence model based subword embeddings for a dialog system5G multi-access edge computing cooperation announcement on the telecom operators’ firm value
[ETRI] ETRI Journal
2022 .08
-
A Transport Theoretic Approach for Computational Task Migration in Multi-Access Edge Computing
Journal of KIISE
2019 .10
-
5G MEC 기반 산업 시설물 에너지 통합 관리 효율화 방안 연구
한국에너지학회 학술발표회
2023 .10
-
산업 현장에서 5G MEC 기반의 원격 협업 시스템 연구
한국통신학회 학술대회논문집
2023 .02
이 논문의 저자 정보
최근 본 자료
댓글(0)
0