b'Mingzhe Chen'

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

The next-generation of wireless networks will enable many machine learni...
04/05/2021 ∙ by Mingzhe Chen, et al. ∙ 41 ∙ share

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Reinforcement Learning for Minimizing Age of Information in Real-time Internet of Things Systems with Realistic Physical Dynamics

In this paper, the problem of minimizing the weighted sum of age of info...
04/04/2021 ∙ by Sihua Wang, et al. ∙ 0 ∙ share

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Lifelong Learning for Minimizing Age of Information in Internet of Things Networks

In this paper, a lifelong learning problem is studied for an Internet of...
03/29/2021 ∙ by Zhenzhen Gong, et al. ∙ 0 ∙ share

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Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems

Limited radio frequency (RF) resources restrict the number of users that...
03/05/2021 ∙ by Chuanhong Liu, et al. ∙ 0 ∙ share

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Learning to Decode Protograph LDPC Codes

The recent development of deep learning methods provides a new approach ...
02/07/2021 ∙ by Jincheng Dai, et al. ∙ 0 ∙ share

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Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles

A new federated learning (FL) framework enabled by large-scale wireless ...
02/05/2021 ∙ by Tengchan Zeng, et al. ∙ 0 ∙ share

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Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks

In this paper, the problem of enhancing the quality of virtual reality (...
01/29/2021 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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A Comprehensive Survey on 6G Networks:Applications, Core Services, Enabling Technologies, and Future Challenges

The fifth-generation (5G) of cellular networks use revolutionary and evo...
01/29/2021 ∙ by Amin Shahraki, et al. ∙ 0 ∙ share

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Federated Learning for 6G: Applications, Challenges, and Opportunities

Traditional machine learning is centralized in the cloud (data centers)....
01/05/2021 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication

In this paper, the optimization of deploying unmanned aerial vehicles (U...
12/24/2020 ∙ by Yihan Cang, et al. ∙ 0 ∙ share

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Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks

In this paper, the problem of the trajectory design for a group of energ...
12/06/2020 ∙ by Ye Hu, et al. ∙ 0 ∙ share

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Joint Location and Power Optimization for THz-enabled UAV Communications

In this paper, the problem of unmanned aerial vehicle (UAV) deployment a...
11/02/2020 ∙ by Luyao Xu, et al. ∙ 0 ∙ share

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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

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