Search Results for author: Zhangdui Zhong

Found 12 papers, 0 papers with code

A Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels

no code implementations1 Mar 2024 Zhengyu Zhang, Ruisi He, Bo Ai, Mi Yang, Yong Niu, Zhangdui Zhong, Yujian Li, Xuejian Zhang, Jing Li

However, some important features of ISAC channels have not been well characterized, for example, most existing ISAC channel models consider communication channels and sensing channels independently, whereas ignoring correlation under the consistent environment.

RIS-assisted High-Speed Railway Integrated Sensing and Communication System

no code implementations19 Aug 2023 Panpan Li, Yong Niu, Hao Wu, Zhu Han, Guiqi Sun, Ning Wang, Zhangdui Zhong, Bo Ai

One technology that has the potential to improve wireless communications in years to come is integrated sensing and communication (ISAC).

A 3D Modeling Method for Scattering on Rough Surfaces at the Terahertz Band

no code implementations5 May 2023 Ben Chen, Ke Guan, Danping He, Pengxiang Xie, Zhangdui Zhong, Jianwu Dou, Shahid Mumtaz, Wael Bazzi

In this paper, a three-dimensional (3D) stochastic model is proposed to characterize the THz scattering on rough surfaces.

5G for Railways: the Next Generation Railway Dedicated Communications

no code implementations7 Jul 2022 Ruisi He, Bo Ai, Zhangdui Zhong, Mi Yang, Ruifeng Chen, Jianwen Ding, Zhangfeng Ma, Guiqi Sun, Changzhu Liu

It is thus necessary for railways to replace the current 2G-based technology with the next generation railway dedicated communication system with improved capacity and capability, and the 5G for railways (5G-R) technology is a promising solution for further intelligent railways.

Artificial intelligence enabled radio propagation for communications-Part II: Scenario identification and channel modeling

no code implementations24 Nov 2021 Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch, Buon Kiong Lau, Katsuyuki Haneda, Bo Liu, Cheng-Xiang Wang, Mi Yang, Claude Oestges, Zhangdui Zhong

This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels.

Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization

no code implementations24 Nov 2021 Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch, Buon Kiong Lau, Katsuyuki Haneda, Bo Liu, Cheng-Xiang Wang, Mi Yang, Claude Oestges, Zhangdui Zhong

To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artificial intelligence techniques.

Cluster-based Characterization and Modeling for UAV Air-to-Ground Time-Varying Channels

no code implementations26 Aug 2021 Zhuangzhuang Cui, Ke Guan, Claude Oestges, César Briso-Rodríguez, Bo Ai, Zhangdui Zhong

With the deep integration between the unmanned aerial vehicle (UAV) and wireless communication, UAV-based air-to-ground (AG) propagation channels need more detailed descriptions and accurate models.

Clustering

Coalition Game Based Full-duplex Popular Content Distribution in mmWave Vehicular Networks

no code implementations29 Jan 2021 Yibing Wang, Hao Wu, Yong Niu, Zhu Han, Bo Ai, Zhangdui Zhong

We evaluate the proposed scheme by extensive simulations in mmWave vehicular networks.

Fairness Information Theory Networking and Internet Architecture Information Theory

Channel Modeling for UAV Communications: State of the Art, Case Studies, and Future Directions

no code implementations12 Dec 2020 Zhuangzhuang Cui, Ke Guan, César Briso-Rodríguez, Bo Ai, Zhangdui Zhong, Claude Oestges

As essential aerial platforms, unmanned aerial vehicles (UAVs) play an increasingly important role in broad wireless connectivity and high-data-rate transmission for future communication systems.

Coverage Probability Analysis of IRS-Aided Communication Systems

no code implementations6 Dec 2020 Zhuangzhuang Cui, Ke Guan, Jiayi Zhang, Zhangdui Zhong

The intelligent reflective surface (IRS) technology has received many interests in recent years, thanks to its potential uses in future wireless communications, in which one of the promising use cases is to widen coverage, especially in the line-of-sight-blocked scenarios.

Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth

no code implementations29 Oct 2020 Wei Chen, BoWen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong

Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications.

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