245 citations · 729 across the 27 of their papers we have counts for
27 papers
Curved Beam Enabled Wireless Communications: Modeling, Analysis and Optimization
Jiawei Yao, Xiaoren Xu, Walid Saad +1
In this paper, the problem of using curved beams to improve wireless communication performance in the presence of a blockage is studied. In particular, a transmitter equipped with…
Transformer based Collaborative Reinforcement Learning for Fluid Antenna System (FAS)-enabled 3D UAV Positioning
Xiaoren Xu, Hao Xu, Dongyu Wei +3
In this paper, a novel Three dimensional (3D) positioning framework of fluid antenna system (FAS)-enabled unmanned aerial vehicles (UAVs) is developed. In the proposed framework, a…
Sensing Safety Analysis for Vehicular Networks with Integrated Sensing and Communication (ISAC)
Tingyu Shui, Walid Saad, Mingzhe Chen
Integrated sensing and communication (ISAC) emerged as a key feature of next-generation 6G wireless systems, allowing them to achieve high data rates and sensing accuracy. While pr…
Resilient Vehicular Communications under Imperfect Channel State Information
Tingyu Shui, Walid Saad, Ye Hu +1
Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting qualit…
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
Sihua Wang, Mingzhe Chen, Cong Shen +2
In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digi…
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks
Sihua Wang, Mingzhe Chen, Christopher G. Brinton +3
This paper considers improving wireless communication and computation efficiency in federated learning (FL) via model quantization. In the proposed bitwidth FL scheme, edge devices…
Positioning Using Visible Light Communications: A Perspective Arcs Approach
Zhiyu Zhu, Caili Guo, Rongzhen Bao +3
Visible light positioning (VLP) is an accurate indoor positioning technology that uses luminaires as transmitters. In particular, circular luminaires are a common source type for V…
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
Yongjeong Oh, Yo-Seb Jeon, Mingzhe Chen +1
In this paper, a new communication-efficient federated learning (FL) framework is proposed, inspired by vector quantized compressed sensing. The basic strategy of the proposed fram…
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission
Lunan Sun, Yang Yang, Mingzhe Chen +3
Joint source and channel coding (JSCC) for image transmission has attracted increasing attention due to its robustness and high efficiency. However, the existing deep JSCC research…
A Comprehensive Survey on 6G Networks:Applications, Core Services, Enabling Technologies, and Future Challenges
Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran +1
Cellular Internet of Things (IoT) is considered as de facto paradigm to improve the communication and computation systems. Cellular IoT connects massive number of physical and virt…
Joint Location, Bandwidth and Power Optimization for THz-enabled UAV Communications
Luyao Xu, Ming Chen, Mingzhe Chen +4
In this paper, the problem of unmanned aerial vehicle (UAV) deployment, power allocation, and bandwidth allocation is investigated for a UAV-assisted wireless system operating at t…
6G White Paper on Machine Learning in Wireless Communication Networks
Samad Ali, Walid Saad, Nandana Rajatheva +24
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications
Yining Wang, Mingzhe Chen, Zhaohui Yang +2
In this paper, the problem of dynamical deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities for optimizing the energy efficie…
Analysis of Memory Capacity for Deep Echo State Networks
Xuanlin Liu, Mingzhe Chen, Changchuan Yin +1
In this paper, the echo state network (ESN) memory capacity, which represents the amount of input data an ESN can store, is analyzed for a new type of deep ESNs. In particular, two…
Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach
Xuanlin Liu, Mingzhe Chen, Changchuan Yin
In this paper, the problem of trajectory design of unmanned aerial vehicles (UAVs) for maximizing the number of satisfied users is studied in a UAV based cellular network where the…
Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach
Mingzhe Chen, Walid Saad, Changchuan Yin +1
In this paper, the problem of wireless virtual reality (VR) resource management is investigated for a wireless VR network in which VR contents are sent by a cloud to cellular small…
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
Walid Saad, Mehdi Bennis, Mingzhe Chen
The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Every…
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks
Mingzhe Chen, Omid Semiari, Walid Saad +2
In this paper, the problem of enhancing the virtual reality (VR) experience for wireless users is investigated by minimizing the occurrence of breaks in presence (BIP) that can det…
Echo-Liquid State Deep Learning for Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs
Mingzhe Chen, Walid Saad, Changchuan Yin
In this paper, the problem of content caching and transmission is studied for a wireless virtual reality (VR) network in which unmanned aerial vehicles (UAVs) capture videos on liv…
Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks
Mingzhe Chen, Walid Saad, Changchuan Yin
In this paper, the problem of joint caching and resource allocation is investigated for a network of cache-enabled unmanned aerial vehicles (UAVs) that service wireless ground user…
Echo State Transfer Learning for Data Correlation Aware Resource Allocation in Wireless Virtual Reality
Mingzhe Chen, Walid Saad, Changchuan Yin +1
In this paper, the problem of data correlation-aware resource management is studied for a network of wireless virtual reality (VR) users communicating over cloud-based small cell n…
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
Mingzhe Chen, Ursula Challita, Walid Saad +2
Next-generation wireless networks must support ultra-reliable, low-latency communication and intelligently manage a massive number of Internet of Things (IoT) devices in real-time,…
Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks
Mingzhe Chen, Walid Saad, Changchuan Yin
In this paper, the problem of resource management is studied for a network of wireless virtual reality (VR) users communicating using an unmanned aerial vehicle (UAV)-enabled LTE-U…
Virtual Reality over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management
Mingzhe Chen, Walid Saad, Changchuan Yin
In this paper, the problem of resource management is studied for a network of wireless virtual reality (VR) users communicating over small cell networks (SCNs). In order to capture…