Deep Reinforcement Learning based Energy Efficient Resource Allocation for Wireless Powered Edge Computing Network-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning based Energy Efficient Resource Allocation for Wireless Powered Edge Computing Network

Published:2023-08-18 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)
language:
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Author:

Feng Xiao¹,Jia Jing¹,Wang Tong¹,Li Jihao¹,Xu Haitao²,Li Qianqian³

Affiliation:

1. China Electronics Technology Taiji Group Corporation Limited,Beijing,China

2. Shunde Innovation School University of Science and Technology Beijing,School of Computer and Communication Engineering,Beijing,China

3. Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd.,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10270813/10271092/10271104.pdf?arnumber=10271104

Reference25 articles.

1. Coalitional games for computation offloading in NOMA-enabled multi-access edge computing[J];quoc-viet;IEEE Transactions on Vehicular Technology,2019

2. A generalized nash game for mobile edge computation offloading[C];daniel;2018 6th IEEE International Conference on Mobile Cloud Computing Services and Engineering (MobileCloud),2018

3. Algorithms for simultaneous sparse approximation[C];tropp;EURASIP J App Signal Processing,2006

4. Vehicular task offloading via heat-aware MEC cooperation using game-theoretic method[J];zhu;IEEE Internet of Things Journal,2019

5. Branch and bound and dynamic programming to minimize the total completion times on a single machine with availability constraints[C];imed;2005 IEEE International Conference on Systems Man and Cybernetics,2005

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