返回信息流学校:英国莱斯特大学工程学院
招收:博士,2名;
入学时间:2021年3月,6月,9月
申请截止时间: 待定
项目介绍:该项目是由AI驱动的用于高动态网络的资源调度领域。无处不在的智能无线连接对于未来6G系统中的未来大规模工业任务,服务,资产和设备至关重要。该项目旨在利用AI驱动的多主体深度强化学习(DRL)来进行大规模机器类型通信之外的资源分配,并利用包括太赫兹和光无线通信(OWC)在内的新频谱链路来提高容量方面的性能包括未来工业网络的可靠性,可靠性和延迟,欢迎有兴趣并且背景接近的同学申请该博士生项目。课题组将全力支持申请,帮助撰写申请书,以及修改csc申请材料。导师人非常nice,对学生经常1对1悉心指导。
联系导师:
Yue.Zhang@leicester.ac.uk
https://www2.le.ac.uk/departments/engineering/people/academic-staff/yue-zhang/index
PhD: AI Driven Grant free and Cell-Free Massive MIMO with massive D2D Clusters
This PhD project is to work on 6G systems. You will be involved in new waveform design for the THz channel and AI enabled resource scheme for GF NOMA with CF massive MIMO over the high dynamic D2D clusters. This project is to develop a resource allocation scheme includes the dynamic precoding, accurate beamforming, intelligent user pairing, channel estimation, beam scheduler and high accurate positioning using multi-agent deep reinforcement learning scheme over Cell-free massive D2D clusters. Furthermore, this project is to design a radio waveform dedicated for THz. THz is faced with more difficult challenges, such as higher phase noise (PN), extreme propagation loss, high atmospheric absorption in certain frequencies, lower power amplifier (PA) efficiency, and strict transmitted power spectral density regulatory requirements, when compared to lower frequency bands.
This is an opportunity to join a group of leading specialists in digital communications group specifically to work on 5G systems and beyond. You will be in collaboration with the EU Horizon 2020 project “Bring Reinforcement-learning Into Radio Light Network for Massive Connections”(6G BRAINS) partners towards 6G networks
Informal enquiries: Yue.Zhang@leicester.ac.uk
https://www2.le.ac.uk/departments/engineering/people/academic-staff/yue-zhang/index
这是一条镜像帖。来源:北邮人论坛 / go-abroad / #373900同步于 2020/12/30
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(代发)海外校友招收博士生
hippo
2020/12/30镜像同步0 回复
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