2 citations · 3 across the 28 of their papers we have counts for
13 papers · 1 filter
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…