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
200 publications
Rui Wang
176 publications
Rui Zhang
163 publications
Hao Chen
158 publications
Wei Xu
157 publications
Yang Yang
139 publications
Walid Saad
138 publications
Dusit Niyato
133 publications
Bo Zhang
133 publications
Mehdi Bennis
130 publications
Yan Zhang
128 publications

On Optimal Quantization in Sequential Detection

The problem of designing optimal quantization rules for sequential detec...
07/28/2021 ∙ by Michael Fauß, et al. ∙ 0 ∙ share

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Next-Generation Multiple Access Based on NOMA with Power Level Modulation

To cope with the explosive traffic growth of next-generation wireless co...
07/27/2021 ∙ by Xinyue Pei, et al. ∙ 0 ∙ share

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Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference

We study a distributed machine learning problem carried out by an edge s...
07/25/2021 ∙ by Howard H. Yang, et al. ∙ 0 ∙ share

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Quality of Service Guarantees for Physical Unclonable Functions

We consider a secret key agreement problem in which noisy physical unclo...
07/12/2021 ∙ by Onur Günlü, et al. ∙ 0 ∙ share

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Federated Learning over Energy Harvesting Wireless Networks

In this paper, the deployment of federated learning (FL) is investigated...
06/16/2021 ∙ by Rami Hamdi, et al. ∙ 0 ∙ share

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Blockchain and 6G: The Future of Secure and Ubiquitous Communication

The future communication will be characterized by ubiquitous connectivit...
06/10/2021 ∙ by Ali Hussain Khan, et al. ∙ 0 ∙ share

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Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling

Data clustering is an instrumental tool in the area of energy resource m...
06/02/2021 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

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Advantages of NOMA for Multi-User BackCom Networks

Ambient backscatter communication (BackCom) is faced with the challenge ...
05/31/2021 ∙ by Zhiguo Ding, et al. ∙ 0 ∙ share

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On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels

Blockchain assisted federated learning (BFL) has been intensively studie...
05/31/2021 ∙ by Xiumei Deng, et al. ∙ 0 ∙ share

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Federated Learning for Industrial Internet of Things in Future Industries

The Industrial Internet of Things (IIoT) offers promising opportunities ...
05/31/2021 ∙ by Dinh C Nguyen, et al. ∙ 18 ∙ share

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Minimax Robust Detection: Classic Results and Recent Advances

This paper provides an overview of results and concepts in minimax robus...
05/20/2021 ∙ by Michael Fauß, et al. ∙ 0 ∙ share

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PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies

We propose a novel reinforcement learning based framework PoBRL for solv...
05/18/2021 ∙ by Andy Su, et al. ∙ 0 ∙ share

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Reliable and Secure Short-Packet Communications

Exploiting short packets for communications is one of the key technologi...
05/13/2021 ∙ by Chen Feng, et al. ∙ 0 ∙ share

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A Rate-Distortion Framework for Characterizing Semantic Information

A rate-distortion problem motivated by the consideration of semantic inf...
05/10/2021 ∙ by Jiakun Liu, et al. ∙ 0 ∙ share

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Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

Owing to the low communication costs and privacy-promoting capabilities,...
05/10/2021 ∙ by Chuan Ma, et al. ∙ 7 ∙ share

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Present and Future of Reconfigurable Intelligent Surface-Empowered Communications

Signal processing and communication communities have witnessed the rise ...
05/03/2021 ∙ by Ertugrul Basar, et al. ∙ 0 ∙ share

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Intelligent Reflective-Transmissive Metasurfaces for Full-Dimensional Communications: Principles, Technologies, and Implementation

The recent development of metasurfaces has shown the potential to signif...
04/26/2021 ∙ by Hongliang Zhang, et al. ∙ 0 ∙ share

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Designing IRS-Aided MIMO Systems for Secrecy Enhancement

Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-ou...
04/22/2021 ∙ by Saba Asaad, et al. ∙ 0 ∙ share

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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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