528 citations · 3.2k across the 54 of their papers we have counts for
35 papers · 1 filter
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…
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…
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…
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…
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…
Near Interference-Free Space-Time User Scheduling for MmWave Cellular Network
Ziyuan Sha, Siyu Chen, Zhaocheng Wang
The highly directional beams applied in millimeter wave (mmWave) cellular networks make it possible to achieve near interference-free (NIF) transmission under judiciously designed…
Channel Feedback Based on AoD-Adaptive Subspace Codebook in FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Byonghyo Shim +2
Channel feedback is essential in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. Unfortunately, previous work on multiuser MIMO has shown…
Channel Estimation for mmWave Massive MIMO Based Access and Backhaul in Ultra-Dense Network
Zhen Gao, Linglong Dai, Zhaocheng Wang
Millimeter-wave (mmWave) massive MIMO used for access and backhaul in ultra-dense network (UDN) has been considered as the promising 5G technique. We consider such an heterogeneous…
On the Performance of Channel Statistics-Based Codebook for Massive MIMO
Wenqian Shen, Linglong Dai, Yu Zhang +1
The channel feedback overhead for massive MIMO systems with a large number of base station (BS) antennas is very high, since the number of feedback bits of traditional codebooks sc…
Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
Zhen Gao, Linglong Dai, Zhaocheng Wang +1
This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) sy…
Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels
Zhen Gao, Linglong Dai, Chen Hu +1
Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that…
Near-Optimal Signal Detector Based on Structured Compressive Sensing for Massive SM-MIMO
Zhen Gao, Linglong Dai, Chenhao Qi +2
Massive spatial modulation (SM)-MIMO, which employs massive low-cost antennas but few power-hungry transmit radio frequency (RF) chains at the transmitter, is recently proposed to…
Joint Channel Training and Feedback for FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Yi Shi +2
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance ga…
Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Byonghyo Shim +2
Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhe…
Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
Zhen Gao, Linglong Dai, Wei Dai +2
Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel estim…
On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs
Jiayi Zhang, Linglong Dai, Shengyang Sun +1
The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input mul…
Structured Compressive Sensing Based Superimposed Pilot Design in Downlink Large-Scale MIMO Systems
Zhen Gao, Linglong Dai, Zhaocheng Wang
Large-scale multiple-input multiple-output (MIMO) with high spectrum and energy efficiency is a very promising key technology for future 5G wireless communications. For large-scale…
Priori-Information Aided Iterative Hard Threshold: A Low-Complexity High-Accuracy Compressive Sensing Based Channel Estimation for TDS-OFDM
Zhen Gao, Chao Zhang, Zhaocheng Wang +1
This paper develops a low-complexity channel estimation (CE) scheme based on compressive sensing (CS) for time-domain synchronous (TDS) orthogonal frequency-division multiplexing (…
Robust Preamble Design for Synchronization, Signaling Transmission and Channel Estimation
Zhen Gao, Chao Zhang, Zhaocheng Wang
The European second generation digital video broadcasting standard (DVB-T2) introduces a P1 symbol. This P1 symbol facilitates the coarse synchronization and carries 7-bit transmis…
Compressive Sensing Based Multi-User Detector for the Large-Scale SM-MIMO Uplink
Zhen Gao, Linglong Dai, Zhaocheng Wang +2
Conventional spatial modulation (SM) is typically considered for transmission in the downlink of small-scale MIMO systems, where a single one of a set of antenna elements (AEs) is…
MmWave Massive MIMO Based Wireless Backhaul for 5G Ultra-Dense Network
Zhen Gao, Linglong Dai, De Mi +3
Ultra-dense network (UDN) has been considered as a promising candidate for future 5G network to meet the explosive data demand. To realize UDN, a reliable, Gigahertz bandwidth, and…
Asymptotic Orthogonality Analysis of Time-Domain Sparse Massive MIMO Channels
Zhen Gao, Linglong Dai, Chau Yuen +1
The theoretical analysis of downlink massive MIMO usually assumes the ideal Gaussian channel matrix with asymp- totic orthogonality of channel vectors associated with different use…
Super-Resolution Sparse MIMO-OFDM Channel Estimation Based on Spatial and Temporal Correlations
Zhen Gao, Linglong Dai, Zhaohua Lu +2
This letter proposes a parametric sparse multiple input multiple output (MIMO)-OFDM channel estimation scheme based on the finite rate of innovation (FRI) theory, whereby super-res…