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20142026
most citedSpatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

528 citations · 3.2k across the 54 of their papers we have counts for

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19 papers · 1 filter

eess.SP2026

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…

eess.SP2026

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024

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…

eess.SP2024★ 1 cited

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…

eess.SP2024★ 16 cited

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…

eess.SP2023★ 1 cited

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…

eess.SP2023

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…

eess.SP2023★ 1 cited

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).…

eess.SP2022

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…

eess.SP2021★ 1 cited

Waveform Design for Joint Sensing and Communications in Millimeter-Wave and Low Terahertz Bands

Tianqi Mao, Jiaxuan Chen, Qi Wang +3

The convergence of sensing and communication in the millimeter-wave (mmWave) and low terahertz (THz) bands has been envisioned as a promising technology, since it incorporates high…