M
Mingzhe Chen
Researcher at Princeton University
Publications - 136
Citations - 10654
Mingzhe Chen is an academic researcher from Princeton University. The author has contributed to research in topics: Wireless network & Resource allocation. The author has an hindex of 31, co-authored 136 publications receiving 5831 citations. Previous affiliations of Mingzhe Chen include Beijing University of Posts and Telecommunications & The Chinese University of Hong Kong.
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A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
TL;DR: This article identifies the primary drivers of 6G systems, in terms of applications and accompanying technological trends, and identifies the enabling technologies for the introduced 6G services and outlines a comprehensive research agenda that leverages those technologies.
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Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience
TL;DR: In this article, the problem of proactive deployment of cache-enabled unmanned aerial vehicles (UAVs) for optimizing the quality of experience (QoE) of wireless devices in a cloud radio access network is studied.
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A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks
TL;DR: In this paper, a joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm.
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Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
TL;DR: This paper constitutes the first holistic tutorial on the development of ANN-based ML techniques tailored to the needs of future wireless networks and overviews how artificial neural networks (ANNs)-based ML algorithms can be employed for solving various wireless networking problems.
Posted Content
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
TL;DR: In this paper, the authors present a holistic, forward-looking vision that defines the tenets of a 6G system and provide concrete recommendations for the roadmap toward 6G. But, despite recent 6G initiatives, the fundamental architectural and performance components of the system remain largely undefined.