Mingzhe Chen

A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks

In this paper, a joint task, spectrum, and transmit power allocation pro...
07/20/2020 ∙ by Sihua Wang, et al. ∙ 0 ∙ share

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Delay Minimization for Federated Learning Over Wireless Communication Networks

In this paper, the problem of delay minimization for federated learning ...
07/05/2020 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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UVeQFed: Universal Vector Quantization for Federated Learning

Traditional deep learning models are trained at a centralized server usi...
06/05/2020 ∙ by Nir Shlezinger, et al. ∙ 0 ∙ share

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Wireless Communications for Collaborative Federated Learning in the Internet of Things

Internet of Things (IoT) services will use machine learning tools to eff...
06/03/2020 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks

In this paper, the design of an optimal trajectory for an energy-constra...
05/25/2020 ∙ by Ye Hu, et al. ∙ 0 ∙ share

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Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

This paper investigates the problem of resource allocation for a wireles...
05/01/2020 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

In this paper, the problem of minimizing energy and time consumption for...
03/19/2020 ∙ by Sihua Wang, et al. ∙ 0 ∙ share

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Machine Learning for Predictive Deployment of UAVs with Multiple Access

In this paper, a machine learning based deployment framework of unmanned...
03/02/2020 ∙ by Linyan Lu, et al. ∙ 0 ∙ share

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Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) ...
02/19/2020 ∙ by Tengchan Zeng, et al. ∙ 0 ∙ share

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Artificial Intelligence Aided Next-Generation Networks Relying on UAVs

Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aide...
01/28/2020 ∙ by Xiao Liu, et al. ∙ 5 ∙ share

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Convergence Time Optimization for Federated Learning over Wireless Networks

In this paper, the convergence time of federated learning (FL), when dep...
01/22/2020 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Energy Efficient Federated Learning Over Wireless Communication Networks

In this paper, the problem of energy efficient transmission and computat...
11/06/2019 ∙ by Zhaohui Yang, et al. ∙ 13 ∙ share

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A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

In this paper, the problem of training federated learning (FL) algorithm...
09/17/2019 ∙ by Mingzhe Chen, et al. ∙ 1 ∙ share

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Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

In this paper, the problem of optimizing the deployment of unmanned aeri...
09/17/2019 ∙ by Yining Wang, et al. ∙ 5 ∙ share

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Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach

In this paper, the problem of user association and resource allocation i...
08/29/2019 ∙ by Ye Hu, et al. ∙ 0 ∙ share

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Analysis of Memory Capacity for Deep Echo State Networks

In this paper, the echo state network (ESN) memory capacity, which repre...
06/11/2019 ∙ by Xuanlin Liu, et al. ∙ 0 ∙ share

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Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication

In this paper, the problem of maximizing the wireless users' sum-rate fo...
06/10/2019 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)

A novel approach that combines visible light communication (VLC) with un...
05/10/2019 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

The ongoing deployment of 5G cellular systems is continuously exposing t...
02/26/2019 ∙ by Walid Saad, et al. ∙ 0 ∙ share

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Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach

In this paper, the problem of trajectory design of unmanned aerial vehic...
02/18/2019 ∙ by Xuanlin Liu, et al. ∙ 0 ∙ share

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Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

In this paper, the problem of wireless virtual reality (VR) resource man...
02/14/2019 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

In this paper, the problem of enhancing the virtual reality (VR) experie...
12/04/2018 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs

Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be in...
04/15/2018 ∙ by Ursula Challita, et al. ∙ 0 ∙ share

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Echo-Liquid State Deep Learning for 360^∘ Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs

In this paper, the problem of content caching and transmission is studie...
04/10/2018 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

In this paper, the problem of joint caching and resource allocation is i...
01/29/2018 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Echo State Transfer Learning for Data Correlation Aware Resource Allocation in Wireless Virtual Reality

In this paper, the problem of data correlation-aware resource management...
11/25/2017 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks

Next-generation wireless networks must support ultra-reliable, low-laten...
10/09/2017 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Mingzhe Chen

Featured Co-authors

H. Vincent Poor

Wei Xu

Walid Saad

Yang Yang

Mehdi Bennis

Yonina C. Eldar

Mérouane Debbah

Xiao Liu

Yuanwei Liu

Lajos Hanzo

Yining Wang

A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks

Delay Minimization for Federated Learning Over Wireless Communication Networks

UVeQFed: Universal Vector Quantization for Federated Learning

Wireless Communications for Collaborative Federated Learning in the Internet of Things

Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

Machine Learning for Predictive Deployment of UAVs with Multiple Access

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs

Convergence Time Optimization for Federated Learning over Wireless Networks

Energy Efficient Federated Learning Over Wireless Communication Networks

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach

Analysis of Memory Capacity for Deep Echo State Networks

Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication

Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs

Echo-Liquid State Deep Learning for 360^∘ Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs

Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

Echo State Transfer Learning for Data Correlation Aware Resource Allocation in Wireless Virtual Reality

Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks