2 citations · 2 across the 11 of their papers we have counts for
11 papers
Rank-Aware Element Grouping for Power-Efficient Multiuser ISAC With an Extremely Large-Scale IRS
Shengsheng Zhang, Ritao Cheng, Zitong Wang +3
We investigate power-efficient multiuser integrated sensing and communication (ISAC) assisted by an element-grouping extremely large-scale intelligent reflecting surface (EG-XL-IRS…
Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Model
Qingxia Feng, Yin Fang, Meng Hua +4
Extremely large-scale multiple-input multiple-output (XL-MIMO) is a key enabling technology for sixth-generation (6G) communication systems. Nevertheless, the increase in array ape…
Adaptive Structured Sparse Bayesian Learning for Near-Field Non-Stationary Channel Estimation in XL-MIMO Systems
Qingxia Feng, Pan Fang, Meng Hua +3
Extremely large-scale multiple-input multiple-output (XL-MIMO) is a key enabler for sixth-generation (6G) communications. However, near-field channel estimation is particularly cha…
JSSAnet: Theory-Guided Subchannel Partitioning and Joint Spatial Attention for Near-Field Channel Estimation
Zhiming Zhu, Shu Xu, Chunguo Li +2
The deployment of extremely large-scale antenna array (ELAA) in sixth-generation (6G) communication systems introduces unique challenges for efficient near-field channel estimation…
A Multi-Scale Spatial Attention Network for Near-field MIMO Channel Estimation
Zhiming Zhu, Shu Xu, Jiexin Zhang +3
The deployment of extremely large-scale array (ELAA) brings higher spectral efficiency and spatial degree of freedom, but triggers issues on near-field channel estimation. Existing…
Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning
Jiexin Zhang, Shu Xu, Chunguo Li +2
Beamforming enhances signal strength and quality by focusing energy in specific directions. This capability is particularly crucial in cell-free integrated sensing and communicatio…
Element-Grouping Strategy for Intelligent Reflecting Surface: Performance Analysis and Algorithm Optimization
Shengsheng Zhang, Taotao Ji, Meng Hua +2
As a revolutionary paradigm for intelligently controlling wireless channels, intelligent reflecting surface (IRS) has emerged as a promising technology for future sixth-generation…
An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback
Xinran Sun, Zhengming Zhang, Luxi Yang
The efficacy of massive multiple-input multiple-output (MIMO) techniques heavily relies on the accuracy of channel state information (CSI) in frequency division duplexing (FDD) sys…
Joint Active and Passive Beamforming for IRS-Aided Wireless Energy Transfer Network Exploiting One-Bit Feedback
Taotao Ji, Meng Hua, Chunguo Li +2
To reap the active and passive beamforming gain in an intelligent reflecting surface (IRS)-aided wireless network, a typical way is to first acquire the channel state information (…
Intelligent Reflecting Surface Aided Target Localization With Unknown Transceiver-IRS Channel State Information
Taotao Ji, Meng Hua, Xuanhong Yan +3
Integrating wireless sensing capabilities into base stations (BSs) has become a widespread trend in the future beyond fifth-generation (B5G)/sixth-generation (6G) wireless networks…
Channel Estimation with Dynamic Metasurface Antennas via Model-Based Learning
Xiangyu Zhang, Haiyang Zhang, Luxi Yang +1
Dynamic Metasurface Antenna (DMA) is a cutting-edge antenna technology offering scalable and sustainable solutions for large antenna arrays. The effectiveness of DMAs stems from th…