2 citations · 3 across the 28 of their papers we have counts for
37 papers
Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach
Muah Kim, Shuangyang Li, Tayyebeh Jahani-Nezhad +2
Integrated sensing and communication (ISAC) enables joint communication and sensing using a shared waveform, but its signal design is challenging due to the inherent trade-off betw…
Exploiting Mutual Coupling Structure for Channel Estimation of Active RIS-Assisted Links
Simon Tarboush, Pinjun Zheng, Hadi Sarieddeen +2
Accurate channel modeling and estimation of active reconfigurable intelligent surface (RIS)-assisted links with densely integrated elements are essential to fully unleashing this t…
Learning-based near- versus far-field boundaries for ultra-massive MIMO communications
Simon Tarboush, Nour Kouzayha, Hadi Sarieddeen +2
Signal processing techniques for wireless communications and sensing fundamentally differ between near-field and far-field propagation regimes. Accurately identifying the applicabl…
Prior-Aided Masked Vector Quantization CSI Feedback for FDD Massive MIMO Systems
Yi Song, Tianyu Yang, Kangda Zhi +4
Downlink channel state information (CSI) feedback is a key bottleneck in frequency-division duplex (FDD) massive MIMO systems, as the user equipment (UE) must convey its estimated…
Environment-Aware Diffusion Model for Massive MIMO-OFDM Channel Estimation
Wanchen Hu, Jie Yang, Yi Song +4
This paper proposes an environment-aware diffusion based channel estimation in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems…
Low-Complexity Near-Field Channel Estimation and Subcarrier-Cooperative Hybrid Precoding for Wideband XL-MIMO OFDM Systems
Kangda Zhi, Tianyu Yang, Songyan Xue +2
This paper addresses both accurate near-field channel acquisition and scalable precoding for wideband extremely large aperture MIMO (XL-MIMO) OFDM systems, with particular focus on…
Learning-Aided Short Code Design for ISAC based on MIMO-OFDM
Mingcheng Nie, Shuangyang Li, Geng Wang +5
This paper proposes a deep learning (DL)-based coded waveform design for integrated sensing and communications (ISAC), enabling flexible trade-offs between communication reliabilit…
On A Unified Cramér-Rao Bound Framework for Joint Delay-Doppler Estimation with Multi-Carrier Waveforms
Zi-Jie Wang, Xudong Wang, Giuseppe Caire
In this work, we derive the Cramér-Rao bound for joint Delay-doppler estimation with multi-carrier waveforms
Spectral-Efficient MIMO-OFDM: Low-Complexity Solution based on Random Multiplexing
Jie Yang, Wanchen Hu, Yi Song +5
This paper presents a low-complexity precoded MIMO-OFDM system for achieving improved spectral efficiency (SE) via intentionally compressing information symbols among subcarriers.…
Semantic Reconstruction and 3-D Detection via Learned Multi-Pair Fusion in RF Imaging
Amir Rezaei, Wen-Xin Pan, Giuseppe Caire
We consider a multistatic radio-frequency imaging problem with anisotropy, in which the reflection from a point depends on the positions of the transmit (Tx) and receive (Rx) array…
A Novel Cross-Domain Channel Estimation Scheme for OFDM
Mingcheng Nie, Ruoxi Chong, Shuangyang Li +5
In this paper, we propose a novel cross-domain channel estimation (CDCE) algorithm for orthogonal frequency division multiplexing (OFDM) systems, leveraging the unique characterist…
Information-Theoretic Secure Aggregation in Decentralized Networks
Xiang Zhang, Zhou Li, Shuangyang Li +3
Motivated by the increasing demand for data security in decentralized federated learning (FL) and stochastic optimization, we formulate and investigate the problem of information-t…
Faster-than-Nyquist Signaling for Next-Generation Wireless: Principles, Applications, and Challenges
Shuangyang Li, Melda Yuksel, Tongyang Xu +4
Future wireless networks are expected to deliver ultra-high throughput for supporting emerging applications. In such scenarios, conventional Nyquist signaling may falter. As a reme…
Hybrid Iterative Detection for OTFS: Interplay between Local L-MMSE and Global Message Passing
Ruohai Yang, Shuangyang Li, Han Yu +3
Orthogonal time frequency space (OTFS) modulation has emerged as a robust solution for high-mobility wireless communications. However, conventional detection algorithms, such as li…
Near-Field 3D Localization and MIMO Channel Estimation with Sub-Connected Planar Arrays
Kangda Zhi, Tianyu Yang, Songyan Xue +1
This paper investigates the design of channel estimation and 3D localization algorithms in a challenging scenario, where a sub-connected planar extremely large-scale multiple-input…
Near-Field Imaging by Exploiting Frequency Correlation in Wireless Communication Networks
Tianyu Yang, Kangda Zhi, Shuangyang Li +1
In this work, we address the near-field imaging under a wideband wireless communication network by exploiting both the near-field channel of a uniform linear array (ULA) and the im…
On the Sensing Capacity of Gaussian "Beam-Pointing" Channels with Block Memory and Feedback
Siyao Li, Shuangyang Li, Giuseppe Caire
Driven by the demands of high-frequency wireless communications in 5G and 6G systems (e.g., mmWave, sub-THz), we explore a state-dependent {\em Gaussian beam-pointing} (GBP) channe…
On Secrecy Capacity of Binary Beampointing Channels with Block Memory and Feedback
Siyao Li, Mingzhe Chen, Shuangyang Li +1
This paper investigates the secrecy capacity of the binary beampointing (BBP) channel with block memory and feedback, a simplified yet insightful model for millimeter-wave (mmWave)…
Near-Field Integrated Imaging and Communication in Distributed MIMO Networks
Kangda Zhi, Tianyu Yang, Shuangyang Li +3
In this work, we propose a general framework for wireless imaging in distributed MIMO wideband communication systems, considering multi-view non-isotropic targets and near-field pr…
Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience
Xiang Zhang, Zhou Li, Shuangyang Li +3
In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across…
Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
Shuangyang Li, Fan Liu, Yifeng Xiong +4
In this paper, we provide an analytical study of single-carrier faster-than-Nyquist (FTN) signaling for integrated sensing and communications (ISAC). Our derivations show that FTN…
Discrete Codebook Design for Self-interference Suppression in mmWave ISAC
Guang Chai, Zhibin Yu, Thomas Wagner +2
This paper presents discrete codebook synthesis methods for self-interference (SI) suppression in a mmWave device, designed to support full-duplex (FD) integrated sensing and commu…
Complexity-Scalable Near-Optimal Transceiver Design for Massive MIMO-BICM Systems
Jie Yang, Wanchen Hu, Yi Jiang +4
Future wireless networks are envisioned to employ multiple-input multiple-output (MIMO) transmissions with large array sizes, and therefore, the adoption of complexity-scalable tra…
A Comparison among Single Carrier, OFDM, and OTFS in mmWave Multi-Connectivity Downlink Transmissions
Fabian Göttsch, Shuangyang Li, Lorenzo Miretti +2
In this paper, we perform a comparative study of common wireless communication waveforms, namely the single carrier (SC), orthogonal frequency-division multiplexing (OFDM), and ort…