基于可重构智能表面的无线扩展现实(XR)集成传感与通信

IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Teng Ma;Yue Xiao;Xia Lei;Ming Xiao
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引用次数: 0

摘要

未来的无线网络将见证无处不在的人机交互,扩展现实(XR)有望成为下一代移动系统的关键场景。在本文中,我们研究了XR中的集成传感和通信(ISAC)框架,其中可重构智能表面(RIS)可以帮助用户(UE)定位和通信。具体而言,提出了一种基于多信号分类(MUSIC)的实用定位算法,并结合特殊设计的RIS配置。在cramsamr - rao下界(CRLB)约束下,提出了UE波束形成器和RIS移相器的联合优化方案,利用梯度投影和流形优化交替优化的方法实现了信道容量最大化。最后,利用仿真结果验证了所提出的定位算法的可行性,并验证了所提优化方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Sensing and Communication for Wireless Extended Reality (XR) With Reconfigurable Intelligent Surface
Future wireless networks will witness ubiquitous human-machine interactions, where extended reality (XR) is expected to be a key scenario in next-generation mobile systems. In this article, we examine the integrated sensing and communication (ISAC) framework in XR, where a reconfigurable intelligent surface (RIS) may assist user (UE) positioning and communication. Specifically, a practical positioning algorithm based on multiple signal classification (MUSIC) with the aid of specially designed RIS configurations is conceived. Furthermore, we formulate the joint optimization of the UE beamformer and RIS phase shifter to maximize the channel capacity under Cramér-Rao lower bound (CRLB) constraints, which is solved by alternating optimization with gradient projection and manifold optimization. Finally, we use simulation results to demonstrate the feasibility of the conceived positioning algorithm and corroborate the effectiveness of the proposed optimization approach.
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来源期刊
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing 工程技术-工程:电子与电气
CiteScore
19.00
自引率
1.30%
发文量
135
审稿时长
3 months
期刊介绍: The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others. The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.
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