239 citations · 296 across the 16 of their papers we have counts for
17 papers
Hierarchically Block-Sparse Recovery With Prior Support Information
Liyang Lu, Haochen Wu, Wenbo Xu +2
We provide new recovery bounds for hierarchical compressed sensing (HCS) based on prior support information (PSI). A detailed PSI-enabled reconstruction model is formulated using v…
Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Shuhao Zeng, Haobo Zhang, Boya Di +5
Integrated sensing and communication (ISAC) is envisioned as a key technology in 6G networks, owing to its potential for high spectral and cost efficiency. As a promising solution…
MIMO Pinching-Antenna-Aided SWIPT
Haoyun Li, Zhonghao Lyu, Yulan Gao +2
Pinching-antenna systems (PASS) have recently emerged as a promising technology for improving wireless communications by establishing or strengthening reliable line-of-sight (LoS)…
Pinching-Antenna Systems (PASS) Aided Over-the-air Computation
Zhonghao Lyu, Haoyun Li, Yulan Gao +2
Over-the-air computation (AirComp) enables fast data aggregation for edge intelligence applications. However the performance of AirComp can be severely degraded by channel misalign…
Generative Diffusion Model Driven Massive Random Access in Massive MIMO Systems
Keke Ying, Zhen Gao, Sheng Chen +2
Massive random access is an important technology for achieving ultra-massive connectivity in next-generation wireless communication systems. It aims to address key challenges durin…
Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids
Yexiang Chen, Subhash Lakshminarayana, H. Vincent Poor
Machine learning (ML)-based detectors have been shown to be effective in detecting stealthy false data injection attacks (FDIAs) that can bypass conventional bad data detectors (BD…
Unsourced Random Access in MIMO Quasi-Static Rayleigh Fading Channels: Finite Blocklength and Scaling Law Analyses
Junyuan Gao, Yongpeng Wu, Giuseppe Caire +3
This paper considers the unsourced random access (URA) problem with a random and unknown number of active users in multiple-input multiple-output (MIMO) quasi-static Rayleigh fadin…
LoS Blockage in Pinching-Antenna Systems: Curse or Blessing?
Zhiguo Ding, H. Vincent Poor
This letter is to investigate the impact of line-of-sight (LoS) blockage on pinching-antenna systems. Analytical results are developed for both single-user and multi-user cases to…
Over-the-Air Fair Federated Learning via Multi-Objective Optimization
Shayan Mohajer Hamidi, Ali Bereyhi, Saba Asaad +1
In federated learning (FL), heterogeneity among the local dataset distributions of clients can result in unsatisfactory performance for some, leading to an unfair model. To address…
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Dengyu Wu, Jiechen Chen, Bipin Rajendran +2
Inspired by biological processes, neuromorphic computing leverages spiking neural networks (SNNs) to perform inference tasks, offering significant efficiency gains for workloads in…
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning
Siya Chen, Chee Wei Tan, Xiangping Zhai +1
The next-generation radio access network (RAN), known as Open RAN, is poised to feature an AI-native interface for wireless cellular networks, including emerging satellite-terrestr…
OFDMA-FL: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface
Shuyan Hu, Xin Yuan, Wei Ni +3
Federated learning (FL) can suffer from a communication bottleneck when deployed in mobile networks, limiting participating clients and deterring FL convergence. The impact of prac…
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour, Walid Saad, Merouane Debbah +2
Semantic communication is viewed as a revolutionary paradigm that can potentially transform how we design and operate wireless communication systems. However, despite a recent surg…
Fast-Convergent Federated Learning
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour +3
Federated learning has emerged recently as a promising solution for distributing machine learning tasks through modern networks of mobile devices. Recent studies have obtained lowe…
Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA
Yanyu Cheng, Kwok Hung Li, Yuanwei Liu +2
Intelligent reflecting surfaces (IRSs) are envisioned to provide reconfigurable wireless environments for future communication networks. In this paper, both downlink and uplink IRS…
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator
Alex Dytso, H. Vincent Poor
This paper considers estimation of a random variable in Poisson noise with signal scaling coefficient and dark current as explicit parameters of the noise model. Specifically, the…
NOMA Meets Finite Resolution Analog Beamforming in Massive MIMO and Millimeter-Wave Networks
Zhiguo Ding, Linglong Dai, Robert Schober +1
Finite resolution analog beamforming (FRAB) has been recognized as an effective approach to reduce hardware costs in massive multiple-input multiple-output (MIMO) and millimeter-wa…