528 citations · 3.2k across the 54 of their papers we have counts for
54 papers
Adaptive -Perturbed AFDM Waveform Design for Integrated Sensing and Communication
Shiqi Cui, Fan Zhang, Yuanshuo Gang +3
Affine frequency division multiplexing (AFDM) is a promising waveform for integrated sensing and communication (ISAC) systems owing to its superior performance in time--frequency d…
DAFT-s-AFDM Enabled ISAC Systems: Ambiguity Function Analysis and Waveform Design
Shiqi Cui, Tianqi Mao, Fan Zhang +3
Discrete affine Fourier transform spread affine frequency division multiplexing (DAFT-s-AFDM) is a promising waveform for integrated sensing and communication (ISAC) due to its low…
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…
Vision-Intelligence-Enabled Beam Tracking for Cross-Interface Optical Wireless Communication between Underwater and Low-Altitude Platforms
Jiayue Liu, Tianqi Mao, Leyu Cao +4
The rapid expansion of oceanic applications such as underwater surveillance and mineral exploration is driving the need for real-time wireless backhaul of massive observational dat…
New Paradigm for Unified Near-Field and Far-Field Wireless Communications
Zhaocheng Wang, Haochen Wu, Yuanbin Chen +1
Current Type I and Type II codebooks in fifth generation (5G) wireless communications are limited in supporting the coexistence of far-field and near-field user equipments, as they…
Unified Far-Field and Near-Field in Holographic MIMO: A Wavenumber-Domain Perspective
Yuanbin Chen, Xufeng Guo, Gui Zhou +3
This article conceives a unified representation for near-field and far-field holographic multiple-input multiple-output (HMIMO) channels, addressing a practical design dilemma: "Wh…
Multi-Beam Integrated Sensing and Communication: State-of-the-Art, Challenges and Opportunities
Yinxiao Zhuo, Tianqi Mao, Haojin Li +4
Integrated sensing and communication (ISAC) has been envisioned as a critical enabling technology for the next-generation wireless communication, which can realize location/motion…
Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network
Minghui Wu, Zhen Gao, Zhaocheng Wang +3
Near-space airship-borne communication network is recognized to be an indispensable component of the future integrated ground-air-space network thanks to airships' advantage of lon…
Holographic MIMO Systems, Their Channel Estimation and Performance
Yuanbin Chen, Ying Wang, Zhaocheng Wang +1
Holographic multiple-input multiple-output (MIMO) systems constitute a promising technology in support of next-generation wireless communications, thus paving the way for a smart p…
TypeII-CsiNet: CSI Feedback with TypeII Codebook
Yiliang Sang, Ke Ma, Yang Ming +2
The latest TypeII codebook selects partial strongest angular-delay ports for the feedback of downlink channel state information (CSI), whereas its performance is limited due to the…
Sub-6GHz Assisted mmWave Hybrid Beamforming with Heterogeneous Graph Neural Network
Zhaohui Huang, Zhaocheng Wang, Sheng Chen
In next-generation communications, sub-6GHz and millimeter-wave (mmWave) links typically coexist, with the sub-6GHz link always active and the mmWave link active when high-rate tra…
Channel Estimation for AFDM With Superimposed Pilots
Kai Zheng, Miaowen Wen, Tianqi Mao +2
The recent proposed affine frequency division multiplexing (AFDM) employing a multi-chirp waveform has shown its reliability and robustness in doubly selective fading channels. In…
Knowledge and Data Dual-Driven Channel Estimation and Feedback for Ultra-Massive MIMO Systems under Hybrid Field Beam Squint Effect
Kuiyu Wang, Zhen Gao, Sheng Chen +5
Acquiring accurate channel state information (CSI) at an access point (AP) is challenging for wideband millimeter wave (mmWave) ultra-massive multiple-input and multiple-output (UM…
Wavenumber Domain Sparse Channel Estimation in Holographic MIMO
Xufeng Guo, Yuanbin Chen, Ying Wang +2
In this paper, we investigate the sparse channel estimation in holographic multiple-input multiple-output (HMIMO) systems. The conventional angular-domain representation fails to c…
Near-Field Channel Estimation in Dual-Band XL-MIMO with Side Information-Assisted Compressed Sensing
Haochen Wu, Liyang Lu, Zhaocheng Wang
Near-field communication comes to be an indispensable part of the future sixth generation (6G) communications at the arrival of the forth-coming deployment of extremely large-scale…
Near-Field Communications with Block-Dominant Compressed Sensing: Fundamentals, Approaches, and Future Directions
Liyang Lu, Ke Ma, Yue Wang +1
In the context of extremely large-scale antenna arrays deployed in sixth-generation (6G) mobile networks, near-field (NF) communications have gained considerable attention. Unlike…
Block-Sparse Tensor Recovery
Liyang Lu, Zhaocheng Wang, Zhen Gao +2
This work explores the fundamental problem of the recoverability of a sparse tensor being reconstructed from its compressed embodiment. We present a generalized model of block-spar…
Cross-Domain Dual-Functional OFDM Waveform Design for Accurate Sensing/Positioning
Fan Zhang, Tianqi Mao, Ruiqi Liu +3
Orthogonal frequency division multiplexing (OFDM) has been widely recognized as the representative waveform for 5G wireless networks, which can directly support sensing/positioning…
Improving the Performance of R17 Type-II Codebook with Deep Learning
Ke Ma, Yiliang Sang, Yang Ming +3
The Type-II codebook in Release 17 (R17) exploits the angular-delay-domain partial reciprocity between uplink and downlink channels to select part of angular-delay-domain ports for…
Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback
Ke Ma, Yiliang Sang, Yang Ming +3
Deep learning based channel state information (CSI) feedback in frequency division duplex systems has drawn much attention in both academia and industry. In this paper, we focus on…
Doppler-Resilient Design of CAZAC Sequences for mmWave/THz Sensing Applications
Fan Zhang, Tianqi Mao, Zhaocheng Wang
Ultra-high-resolution target sensing has emerged as a key enabler for various cutting-edge applications, which can be realized by utilizing the millimeter wave/terahertz frequencie…
Joint Block-Sparse Recovery Using Simultaneous BOMP/BOLS
Liyang Lu, Zhaocheng Wang, Sheng Chen
We consider the greedy algorithms for the joint recovery of high-dimensional sparse signals based on the block multiple measurement vector (BMMV) model in compressed sensing (CS).…
Downlink Massive MIMO Channel Estimation via Deep Unrolling : Sparsity Exploitations in Angular Domain
An Chen, Wenbo Xu, Liyang Lu +1
In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massi…
Deep Learning for Beam-Management: State-of-the-Art, Opportunities and Challenges
Ke Ma, Zhaocheng Wang, Wenqiang Tian +2
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) communications provide one of the most promising technologies for next-generation wireless networks. To compensat…