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Hong Zhang

Publications

Citations

Publications by Year

20232023

Co-Authors:

Haipeng DaiSongtao GuoXianlong JiaoMingyan LiYating Wang

Show All Co-Authors (6)

Hong Zhang

Affiliation

School of Information Science and Engineering

Chongqing Jiaotong University

Chongqing, China

Publication Topics

Approximate Ratio,
Baseline Algorithms,
Data Upload,
Decision Variables,
Deep Learning Technology,
Deep Neural Network,
Deep Reinforcement Learning,
E-learning,
Edge Computing,
Edge Server,
Feasible Method,
Feasible Set

Biography

Hong Zhang is currently pursuing the bachelor’s degree in information science and engineering with Chongqing Jiaotong University, Chongqing, China. In 2022, she joined the Research Team of Xianlong Jiao. Her current research interests include the Internet of Things and mobile edge computing.(Based on document published on 7 June 2023).

Publications

Citations

Publications by Year

20232023

Co-Authors:

Haipeng Dai
Songtao Guo
Xianlong Jiao
Mingyan Li
Yating Wang

Show All Co-Authors (6)

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State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China(1)
College of Computer Science, Chongqing University, Chongqing, China(1)
School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, China(1)
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Decision Variables(1)
Deep Learning Technology(1)

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Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading

Xianlong Jiao;Yating Wang;Songtao Guo;Hong Zhang;Haipeng Dai;Mingyan Li;Pengzhan Zhou

IEEE Transactions on Communications

Year: 2023 | Volume: 71, Issue: 9 | Journal Article |

Cited by: Papers (7)

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Deep integration of wireless power transmission and mobile edge computing (MEC) promotes wireless powered MEC to become a new research hotspot in the field of Internet of Things. In this paper, we focus on the joint optimization problem of online offloading decision and charging resource allocation for minimizing task accomplishing time in dynamic time-varying wireless channel scenarios. The optim...Show More

Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading

Xianlong Jiao;Yating Wang;Songtao Guo;Hong Zhang;Haipeng Dai;Mingyan Li;Pengzhan Zhou

IEEE Transactions on Communications

Year: 2023 | Volume: 71, Issue: 9 | Journal Article |

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