H. Vincent Poor

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Princeton University

Michael Henry Strater University Professor at Princeton University, Professor of Electrical Engineering at Princeton University, Dean, School of Engineering & Applied Science at Princeton University from 2006-2016, Founding Director, Keller Center for Innovation in Engineering Education at Princeton University from 2005-2006, George Van Ness Lathrop Professor in Engineering at Princeton University from 2003-2005, Professor of Electrical & Computer Engineering at University of Illinois at Urbana-Champaign from 1977-1990

Featured Co-authors

Wei Chen
177 publications
Rui Wang
176 publications
Rui Zhang
163 publications
Wei Xu
146 publications
Hao Chen
141 publications
Walid Saad
134 publications
Yang Yang
133 publications
Dusit Niyato
126 publications
Bo Zhang
124 publications
Mehdi Bennis
122 publications
Jun Li
111 publications

A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems

This paper investigates a novel intelligent reflecting surface (IRS)-bas...
04/19/2021 ∙ by Meng Hua, et al. ∙ 0 ∙ share

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No-Pain No-Gain: DRL Assisted Optimization in Energy-Constrained CR-NOMA Networks

This paper applies machine learning to optimize the transmission policy ...
04/13/2021 ∙ by Zhiguo Ding, et al. ∙ 0 ∙ share

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NOMA for Next-generation Massive IoT: Performance Potential and Technology Directions

Broader applications of the Internet of Things (IoT) are expected in the...
04/11/2021 ∙ by Yifei Yuan, et al. ∙ 0 ∙ share

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Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps

Eigenvector perturbation analysis plays a vital role in various statisti...
04/07/2021 ∙ by Gen Li, et al. ∙ 8 ∙ share

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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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A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications

Consider a channel Y= X+ N where X is an n-dimensional random vector, a...
04/05/2021 ∙ by Alex Dytso, et al. ∙ 0 ∙ share

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Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Mobile edge computing (MEC) has been envisioned as a promising paradigm ...
04/05/2021 ∙ by Dinh C Nguyen, et al. ∙ 0 ∙ 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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Federated Learning: A Signal Processing Perspective

The dramatic success of deep learning is largely due to the availability...
03/31/2021 ∙ by Tomer Gafni, et al. ∙ 0 ∙ share

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Active RIS vs. Passive RIS: Which Will Prevail in 6G?

From 1G to 5G, wireless channels have been traditionally considered to b...
03/28/2021 ∙ by Zijian Zhang, et al. ∙ 0 ∙ share

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Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks

The effective deployment of connected vehicular networks is contingent u...
03/13/2021 ∙ by Juntong Liu, et al. ∙ 0 ∙ share

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Spatial Equalization Before Reception: Reconfigurable Intelligent Surfaces for Multi-path Mitigation

Reconfigurable intelligent surfaces (RISs), which enable tunable anomalo...
03/08/2021 ∙ by Hongliang Zhang, 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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MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning

In many contemporary applications such as healthcare, finance, robotics,...
02/23/2021 ∙ by DiJia Su, et al. ∙ 0 ∙ share

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Reconfigurable Intelligent Surfaces in 6G: Reflective, Transmissive, or Both?

Reconfigurable intelligent surfaces (RISs) have attracted wide interest ...
02/13/2021 ∙ by Shuhao Zeng, et al. ∙ 0 ∙ share

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On the Application of BAC-NOMA to 6G umMTC

This letter studies the application of backscatter communications (BackC...
02/12/2021 ∙ by Zhiguo Ding, et al. ∙ 0 ∙ share

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Delay-Phase Precoding for Wideband THz Massive MIMO

Benefiting from tens of GHz bandwidth, terahertz (THz) communication is ...
02/10/2021 ∙ by Linglong Dai, 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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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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Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization

Federated learning (FL), as a type of distributed machine learning frame...
01/28/2021 ∙ by Kang Wei, et al. ∙ 12 ∙ share

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Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

Federated learning (FL), as a distributed machine learning paradigm, pro...
01/18/2021 ∙ by Jun Li, et al. ∙ 14 ∙ share

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Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness

Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
01/06/2021 ∙ by Jinle Zhu, et al. ∙ 0 ∙ share

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Context-Aware Security for 6G Wireless The Role of Physical Layer Security

Sixth generation systems are expected to face new security challenges, w...
01/05/2021 ∙ by Arsenia Chorti, 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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Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA

Non-orthogonal multiple access (NOMA) is a key technology to enable mass...
01/02/2021 ∙ by Sami Khairy, et al. ∙ 1 ∙ share

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A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations

Recently, there has been a surge of interest in adopting deep neural net...
12/21/2020 ∙ by Yexiang Chen, et al. ∙ 0 ∙ share

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Reconfigurable Intelligent Surface assisted Multi-user Communications: How Many Reflective Elements Do We Need?

Reconfigurable intelligent surfaces (RISs) consisting of multiple reflec...
12/19/2020 ∙ by Hongliang Zhang, et al. ∙ 0 ∙ share

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6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

We are on the cusp of a new era of connected autonomous vehicles with un...
12/14/2020 ∙ by Md. Noor-A-Rahim, 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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On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes

In this paper, we study the uplink channel throughput performance of a p...
11/28/2020 ∙ by Animesh Yadav, et al. ∙ 0 ∙ share

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Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks

This paper studies an edge intelligence-based IoT network in which a set...
11/25/2020 ∙ by Yong Xiao, et al. ∙ 0 ∙ share

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Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges

After a century of relative stability of the electricity industry, exten...
11/22/2020 ∙ by Wayes Tushar, et al. ∙ 0 ∙ share

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Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications

This paper characterizes the performance of massive multiuser spatial mo...
11/13/2020 ∙ by Ali Bereyhi, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff

In most Internet of Things (IoT) networks, edge nodes are commonly used ...
10/23/2020 ∙ by Xiongwei Wu, et al. ∙ 0 ∙ share

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Fading Boundaries: On a Nonparametric Variant of the Kiefer–Weiss Problem

A nonparametric variant of the Kiefer–Weiss problem is proposed and inve...
10/22/2020 ∙ by Michael Fauß, et al. ∙ 0 ∙ share

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Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems

Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
10/21/2020 ∙ by Jinle Zhu, et al. ∙ 0 ∙ share

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Blind Federated Edge Learning

We study federated edge learning (FEEL), where wireless edge devices, ea...
10/19/2020 ∙ by Mohammad Mohammadi Amiri, et al. ∙ 5 ∙ share

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Fundamentals of Physical Layer Anonymous Communications: Sender Detection and Anonymous Precoding

In the era of big data, anonymity is recognized as an important attribut...
10/18/2020 ∙ by Zhongxiang Wei, et al. ∙ 0 ∙ share

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Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers

This work studies secure transmission in intelligent reflecting surfaces...
10/15/2020 ∙ by Ali Bereyhi, et al. ∙ 0 ∙ share

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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

Big data, including applications with high security requirements, are of...
10/02/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Towards Self-learning Edge Intelligence in 6G

Edge intelligence, also called edge-native artificial intelligence (AI),...
10/01/2020 ∙ by Yong Xiao, et al. ∙ 0 ∙ share

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Matrix-Monotonic Optimization Part II: Multi-Variable Optimization

In contrast to Part I of this treatise [1] that focuses on the optimizat...
09/24/2020 ∙ by Chengwen Xing, et al. ∙ 0 ∙ share

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Learning Mixtures of Low-Rank Models

We study the problem of learning mixtures of low-rank models, i.e. recon...
09/23/2020 ∙ by Yanxi Chen, et al. ∙ 22 ∙ share

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When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

Motivated by the advancing computational capabilities of wireless end us...
09/20/2020 ∙ by Chuan Ma, et al. ∙ 0 ∙ share

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A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning

As one of the key communication scenarios in the 5th and also the 6th ge...
09/13/2020 ∙ by Changyang She, et al. ∙ 0 ∙ share

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Power Efficiency, Overhead, and Complexity Tradeoff in IRS-Assisted Communications – Quadratic Phase-Shift Design

In this paper, we focus on large intelligent reflecting surfaces (IRSs) ...
09/13/2020 ∙ by Vahid Jamali, et al. ∙ 0 ∙ share

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Smart Meter Data Privacy

Smart grids (SGs) promise to deliver dramatic improvements compared to t...
09/02/2020 ∙ by Giulio Giaconi, et al. ∙ 0 ∙ share

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Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity

The capacity of finite state channels (FSCs) has been established as the...
08/30/2020 ∙ by Holger Boche, et al. ∙ 0 ∙ share

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Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic

Edge nodes (ENs) in Internet of Things commonly serve as gateways to cac...
08/30/2020 ∙ by Xiongwei Wu, et al. ∙ 0 ∙ share

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Convergence of Federated Learning over a Noisy Downlink

We study federated learning (FL), where power-limited wireless devices u...
08/25/2020 ∙ by Mohammad Mohammadi Amiri, et al. ∙ 4 ∙ share

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