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521 results on '"Jin Shi"'

12. A Tutorial On Near-Field XL-MIMO Communications Towards 6G

Author

Lu, Haiquan, primary, Zeng, Yong, additional, You, Changsheng, additional, Han, Yu, additional, Zhang, Jiayi, additional, Wang, Zhe, additional, Dong, Zhenjun, additional, Jin, Shi, additional, Wang, Cheng-Xiang, additional, Jiang, Tao, additional, You, Xiaohu, additional, and Zhang, Rui, additional

Published
2024
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28. Modular extremely large-scale array communication: Near-field modelling and performance analysis

Author

Li, Xinrui, Lu, Haiquan, Zeng, Yong, Jin, Shi, and Zhang, Rui

Subjects
FOS: Computer and information sciences, Computer Networks and Communications, Computer Science - Information Theory, Information Theory (cs.IT), Electrical and Electronic Engineering
Abstract

This paper investigates wireless communications based on a new antenna array architecture, termed modular extremely large-scale array (XL-array), where an extremely large number of antenna elements are regularly arranged on a common platform in a modular manner. Each module consists of a flexible/moderate number of antenna elements, and different modules are separated with an inter-module spacing that is typically much larger than the inter-element spacing/signal wavelength for ease of deployment. By properly modelling the variations of signal phase, amplitude and projected aperture across different array modules/elements, we develop the new channel model and analyze the signal-to-noise ratio (SNR) performance of the modular XL-array based communications. Under the practical non-uniform spherical wave (NUSW) model, the closed-form expression of the maximum achievable SNR is derived in terms of key geometric parameters, including the total planar array size, module separation distances along each dimension, as well as the user's location in the three-dimensional (3D) space. Besides, the asymptotic SNR scaling laws are revealed as the number of modules along different dimensions goes to infinity. Moreover, we show that our developed near-field modelling and performance analysis include the existing ones for the collocated XL-array, the far-field uniform plane wave (UPW) model, as well as the one-dimensional (1D) modular extremely large-scale uniform linear array (XL-ULA) as special cases. Extensive simulation results are provided to validate our obtained results., Comment: 30 pages, 10 figures

Published
2023
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36. Multi-Domain Cooperative SLAM: The Enabler for Integrated Sensing and Communications

Author

Yang, Jie, Wen, Chao-Kai, Yang, Xi, Xu, Jing, Du, Tao, and Jin, Shi

Subjects
Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Electrical and Electronic Engineering, Computer Science Applications
Abstract

Simultaneous localization and mapping (SLAM) provides user tracking and environmental mapping capabilities, enabling communication systems to gain situational awareness. Advanced communication networks with ultra-wideband, multiple antennas, and a large number of connections present opportunities for deep integration of sensing and communications. First, the development of integrated sensing and communications (ISAC) is reviewed in this study, and the differences between ISAC and traditional communication are revealed. Then, efficient mechanisms for multi-domain collaborative SLAM are presented. In particular, research opportunities and challenges for cross-sensing, cross-user, cross-frequency, and cross-device SLAM mechanisms are proposed. In addition, SLAM-aided communication strategies are explicitly discussed. We prove that the multi-domain cooperative SLAM mechanisms based on hybrid sensing and crowdsourcing can considerably improve the accuracy of localization and mapping in complex multipath propagation environments through numerical analysis. Furthermore, we conduct testbed experiments to show that the proposed SLAM mechanisms can achieve decimeter-level localization and mapping accuracy in practical scenarios, thereby proving the application prospect of multi-domain collaborative SLAM in ISAC., Comment: Accepted by the IEEE Wireless Communications Magazine

Published
2023
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45. Transmit/Passive Beamforming Design for Multi-IRS Assisted Cell-Free MIMO Networks

Author

Wang, Kewei, Qi, Nan, Guan, Xin, Shi, Qingjiang, Xiao, Ming, Jin, Shi, Wong, Kai Kit, Wang, Kewei, Qi, Nan, Guan, Xin, Shi, Qingjiang, Xiao, Ming, Jin, Shi, and Wong, Kai Kit

Abstract

For beyond fifth-generation and sixth-generation communication, intelligent reflecting surface (IRS)/reconfigurable intelligent surface, and cell-free networks have been proposed as revolutionary technologies, which could significantly improve the connection quality and coverage to meet future communication demands for extremely massive connectivity and high reliability. In this article, a transmit/passive beamforming strategy for multi-IRS assisted cell-free multi-input-multi-output network is proposed to maximize the weighted sum-rate (WSR). Specifically, for passive beamforming of IRS, an elementwise block coordinate descent framework is applied to efficiently solve the unit-modulus constraints and reduce computation complexity greatly. Note that, every variable in our proposed algorithm can be updated with closed-form solutions and our algorithm can be applied with distributed implementation. Both analytical and simulation results demonstrate that, while guaranteeing superiority in WSR performance and information interaction cost, the proposed scheme outperforms the benchmark algorithms with closed-form solutions significantly in terms of complexity cost., QC 20240626

Published
2023
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46. Metasurface-Based Modulation With Enhanced Interference Resilience

Author

Liu, Yijia, Qi, Nan, Pang, Zhibo, Zhang, Xinyu, Wu, Qihui, Jin, Shi, Wong, Kai Kit, Liu, Yijia, Qi, Nan, Pang, Zhibo, Zhang, Xinyu, Wu, Qihui, Jin, Shi, and Wong, Kai Kit

Abstract

Reconfigurable Intelligent Surfaces (RISs) have great potential for Internet of Things (IoT) applications due to their cost-effectiveness and energy-efficiency. However, under the application of RIS, current RIS systems cannot actively predict and avoid interference, as evolving interference signals can dynamically change their frequency bands. To address this issue, we develop a learning-based dynamic RIS spectrum access scheme to avoid interference and enhance wireless transmission reliability. An intelligent metasurface-based modulation (MM) is designed for generating and reflecting anti-interference radio-frequency signals. Specifically, a Dyna-Q algorithm is employed at the RIS controller to learn the frequency of interference signals, which is used to determine the frequency of the carrier signals. Experiments are conducted on the proposed RIS demo system to evaluate its anti-interference capability, and the results show that our scheme leads to an increase of at least 50% in the system throughput. These numerical results demonstrate the effectiveness of proposed scheme., QC 20230706

Published
2023
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