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Results for “"Cheng‐Xiang Wang"”

27 results

A Novel 3D Space-Time-Frequency Non-Stationary Channel Model for 6G THz Indoor Communication Systems

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Jun Wang, Cheng‐Xiang Wang, Jie Huang, Haiming Wang

Journal: arXiv (Cornell University)Year: 2020Citations: 1

Terahertz (THz) communication is now being considered as one of possible technologies for the sixth generation (6G) communication systems. In this paper, a novel three-dimensional (3D) space-time-frequency non-stationary massive multiple-input multiple-output (MIMO) channel model for 6G THz indoor c...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Performance Analysis of Holographic MIMO Communication Systems with Propagation and Radio Channel Models

Verified

Yinglan Bu, Jie Huang, Yue Yang, Chen Huang et al.

Year: 2025

The holographic multiple-input multiple-output (MIMO) transmission allows for a compact arrangement of antenna elements within a limited aperture and can achieve efficient analog beamforming (ABF). However, the optimal array element density in terms of the overall system performance still needs to b...

Physical SciencesEngineeringElectrical and Electronic Engineering
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A Novel VLC Positioning Method Upon Retroreflective OIRS-Assisted Optical Communications

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Yulin Wang, Xiping Wu, Cheng‐Xiang Wang, Gan Zheng et al.

Year: 2025

An indoor visible light communication (VLC) positioning system is proposed to address line-of-sight (LoS) blockage in complex environments. The system integrates optical intelligent reflecting surfaces (OIRSs) with retroreflectors to form a bidirectional light path: LED to OIRS, then to the retroref...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Optimal Power Allocation for NOMA-Based Satellite Networks Under Delay QoS Constraints

Verified

Xiaojuan Yan, Cheng‐Xiang Wang, Kang An, Jinwei Wu

Year: 2025

In this paper, a system capacity maximization problem of power domain non-orthogonal multiple access (NOMA) based satellite networks is proposed to determine the power control scheme. Specifically, under the constraints of both users’ various delay quality-of-service (QoS) requirements and minimum r...

Physical SciencesEngineeringAerospace Engineering
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Channel Modeling and Characteristics Analysis of UAV-to-Ground Communication Systems with Random UAV Trajectories

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Pinhan Chen, Cheng‐Xiang Wang, Hengtai Chang, Zhen Lv

Year: 2025

To achieve the ambitious goals of global-coverage, complete applications, and all-spectra in the sixth generation (6G) mobile networks, channel modeling and characteristics analysis are crucial. This paper proposes an unmanned aerial vehicle (UAV)-to-ground channel model with massive multipleinput m...

Physical SciencesEngineeringAerospace Engineering
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An Improved Triplet-Based Channel Charting Algorithm for Positioning via Covariance Feature

Verified

Wu Yang, Yuhang Pan, Jianghan Ji, Cheng‐Xiang Wang et al.

Year: 2025

Traditional geometry-based positioning methods (GPMs) suffer from low accuracy in non-line-of-sight (NLOS) environments, while fingerprint-based methods (FPMs) encounter high maintenance costs due to the need for continuous database updates. As an emerging unsupervised technique, channel charting ca...

Physical SciencesEngineeringElectrical and Electronic Engineering
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An ECA–ResNet‐Based Intelligent Communication Scenario Identification Algorithm for 6G Wireless Communications

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Wenqi Zhou, Cheng‐Xiang Wang, Chen Huang, Rui Feng et al.

Journal: International Journal of Intelligent SystemsYear: 2024

The sixth generation (6G) wireless communication envisions global coverage, all spectra, and full applications, which correspondingly creates many new communication scenarios. As the foundation of 6G communication system design, network planning, and optimization, more intelligent scenario identific...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surfaces with Practical Phase Shifts

Verified

Yingzhuo Sun, Cheng‐Xiang Wang, Jie Huang, Jun Wang

Journal: arXiv (Cornell University)Year: 2021

In this paper, a three-dimensional (3D) geometry based stochastic model (GBSM) for a massive multiple-input multiple-output (MIMO) communication system employing practical discrete intelligent reflecting surface (IRS) is proposed. The proposed channel model supports the scenario where both transceiv...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surface

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Yingzhuo Sun, Cheng‐Xiang Wang, Jie Huang, Jun Wang

Journal: arXiv (Cornell University)Year: 2020

As one of the key technologies for the sixth generation (6G) mobile communications, intelligent reflecting surface IRS) has the advantages of low power consumption, low cost, and simple design methods. But channel modeling is still an open issue in this field currently. In this paper, we propose a t...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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A Non-Stationary VVLC MIMO Channel Model for Street Corner Scenarios

Verified

Qingshan Chen, Cheng‐Xiang Wang, Jian Sun, Wensheng Zhang et al.

Journal: arXiv (Cornell University)Year: 2020

In recent years, the application potential of visible light communication (VLC) technology as an alternative and supplement to radio frequency (RF) technology has attracted people's attention. The study of the underlying VLC channel is the basis for designing the VLC communication system. In this pa...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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BER Performance of Spatial Modulation Systems Under a Non-Stationary Massive MIMO Channel Model

Verified

Yu Fu, Cheng‐Xiang Wang, Xuming Fang, Li Yan et al.

Journal: arXiv (Cornell University)Year: 2020

In this paper, the bit error rate (BER) performance of spatial modulation (SM) systems is investigated both theoretically and by simulation in a non-stationary Kronecker-based massive multiple-input-multiple-output (MIMO) channel model in multi-user (MU) scenarios. Massive MIMO SM systems are consid...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Deep Reinforcement Learning for Dynamic Spectrum Sensing and Aggregation in Multi-Channel Wireless Networks

Verified

Yunzeng Li, Wensheng Zhang, Cheng‐Xiang Wang, Jian Sun et al.

Journal: arXiv (Cornell University)Year: 2020

In this paper, the problem of dynamic spectrum sensing and aggregation is investigated in a wireless network containing N correlated channels, where these channels are occupied or vacant following an unknown joint 2-state Markov model. At each time slot, a single cognitive user with certain bandwidt...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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