640 citations · 5.3k across the 160 of their papers we have counts for
19 papers · 2 filters
Communication and Localization with Extremely Large Lens Antenna Array
Jie Yang, Yong Zeng, Shi Jin +2
Achieving high-rate communication with accurate localization and wireless environment sensing has emerged as an important trend of beyond-fifth and sixth generation cellular system…
Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems
Weicong Chen, Xi Yang, Shi Jin +1
Recently, reconfigurable intelligent surfaces (RISs) have drawn intensive attention to enhance the coverage of millimeter wave (mmWave) communication systems. However, existing wor…
Adaptive Bit Partitioning for Reconfigurable Intelligent Surface Assisted FDD Systems with Limited Feedback
Weicong Chen, Chao-Kai Wen, Xiao Li +1
In frequency division duplexing systems, the base station (BS) acquires downlink channel state information (CSI) via channel feedback, which has not been adequately investigated in…
Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-cell Massive MIMO Systems
Jiajia Guo, Chao-Kai Wen, Shi Jin
The potentials of massive multiple-input multiple-output (MIMO) are all based on the available instantaneous channel state information (CSI) at the base station (BS). Therefore, th…
Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems
Jiajia Guo, Tong Chen, Shi Jin +3
The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division Duplex (FDD) mode can be fully exploited when the downlink Channel State Information (CS…
A Fine-Grained Analysis of mmWave Heterogeneous Networks
Le Yang, Fu-Chun Zheng, Shi Jin
A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference-plus-noise-ratio…
On Meta Distribution and Local Delay for Cache-Enabled Networks with Random DTX: Analysis and Optimization
Le Yang, Fu-Chun Zheng, Yi Zhong +1
A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference ratio (SIR) for t…
A Survey of Prototype and Experiment for UAV Communications
Qingheng Song, Yong Zeng, Jie Xu +1
Unmanned aerial vehicle (UAV) communications have attracted significant attention from both academia and industry. To facilitate the large-scale usage of UAVs for various applicati…
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
Hengtao He, Mengjiao Zhang, Shi Jin +2
Massive multiuser multiple-input multiple-output (MU-MIMO) has been the mainstream technology in fifth-generation wireless systems. To reduce high hardware costs and power consumpt…
Spatio-Temporal Analysis of Cellular Networks with Cell-Center/Edge Users
Le Yang, Fu-Chun Zheng, Shi Jin
Emergence of various types of services has brought about explosive growth of traffic as well as diversified traffic characteristics in the cellular networks. To have a comprehensiv…
Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback
Yaqiong Zhao, Wei Xu, Jindan Xu +3
In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. T…
On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains
Jindan Xu, Yucheng Wang, Wei Xu +3
This paper considers a multiuser massive multiple-input multiple-output uplink with the help of an analog amplify-and-forward relay. The base station equips a large array of …
Joint Optimal Software Caching, Computation Offloading and Communications Resource Allocation for Mobile Edge Computing
Wanli Wen, Ying Cui, Tony Q. S. Quek +2
As software may be used by multiple users, caching popular software at the wireless edge has been considered to save computation and communications resources for mobile edge comput…
Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO
Zheng Cao, Wan-Ting Shih, Jiajia Guo +2
In frequency division duplex mode of massive multiple-input multiple-output systems, the downlink channel state information (CSI) must be sent to the base station (BS) through a fe…
MIMO Detection for Reconfigurable Intelligent Surface-Assisted Millimeter Wave Systems
Xi Yang, Chao-Kai Wen, Shi Jin
Millimeter wave (mmWave) band, or high frequencies such as THz, has large undeveloped band of spectrum. However, wireless channels over the mmWave band usually have one or two path…
Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks
Wanli Wen, Chenxi Liu, Yaru Fu +3
In this paper, we propose a novel secure random caching scheme for large-scale multi-antenna heterogeneous wireless networks, where the base stations (BSs) deliver randomly cached…
Adversarial Attack on DL-based Massive MIMO CSI Feedback
Qing Liu, Jiajia Guo, Chao-Kai Wen +1
With the increasing application of deep learning (DL) algorithms in wireless communications, the physical layer faces new challenges caused by adversarial attack. Such attack has s…
Deep Learning Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction
Yu Han, Mengyuan Li, Shi Jin +2
This paper proposes a model-driven deep learning-based downlink channel reconstruction scheme for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems…
Enabling Panoramic Full-Angle Reflection via Aerial Intelligent Reflecting Surface
Haiquan Lu, Yong Zeng, Shi Jin +1
This paper proposes a new three dimensional (3D) networking architecture enabled by aerial intelligent reflecting surface (AIRS) to achieve panoramic signal reflection from the sky…