硕士期间看过的论文

卫星边缘计算

Zhang, Zhenjiang, Wenyu Zhang, and Fan-Hsun Tseng. “Satellite mobile edge computing: Improving QoS of high-speed satellite-terrestrial networks using edge computing techniques.” IEEE network 33.1 (2019): 70-76.
综述性文章，简述了目前边缘计算的问题。

Xie, Renchao, et al. “Satellite-terrestrial integrated edge computing networks: architecture, challenges, and open issues.” Ieee Network 34.3 (2020): 224-231.
综述性文章，提出了一种新的架构

Kim, Taeyeoun, and Jihwan P. Choi. “Performance analysis of satellite server mobile edge computing architecture.” 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). IEEE, 2020.APA
证明了在卫星上卸载计算的延迟比返回陆地云数据中心更低。

Denby, Bradley, and Brandon Lucia. “Orbital edge computing: Nanosatellite constellations as a new class of computer system.” Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems. 2020.
在轨边缘计算，使用纳米卫星作为计算卫星，提出了一种新架构和仿真框架。顶会论文。

Yan, Lei, et al. “SatEC: A 5G satellite edge computing framework based on microservice architecture.” Sensors 19.4 (2019): 831.
提出了一种卫星边缘计算框架（基于java）。

Wang, Yuxuan, et al. “A game-theoretic approach to computation offloading in satellite edge computing.” IEEE Access 8 (2019): 12510-12520.
卫星边缘计算中计算卸载的博弈方法。考虑了卫星上的间歇性通信，使用博弈论寻找纳什均衡的方式寻找最佳卸载策略。部分卸载。

Zhu, Dali, et al. “Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks.” 2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021.
星地边缘计算网络中基于深度强化学习的任务分流。CCF-C。基于地面DROO算法做的一篇论文，地面上的文章为CCF-A。

Zhan, Yufeng, et al. “A deep reinforcement learning based offloading game in edge computing.” IEEE Transactions on Computers 69.6 (2020): 883-893.
边缘计算中基于深度强化学习的卸载游戏。CCF-A。博弈论+强化学习，部分卸载。

[Tang, Ming, and Vincent WS Wong. “Deep reinforcement learning for task offloading in mobile edge computing systems.” IEEE Transactions on Mobile Computing (2020).]
移动边缘计算系统中任务卸载的深度强化学习。CCF-A。一种基于DRL的计算卸载方案。0/1卸载。

推荐系统

Wang, Pengfei, et al. “KERL: A knowledge-guided reinforcement learning model for sequential recommendation.” Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval. 2020.