XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges
C. Liaskos, A. Tsioliaridou, K. Georgopoulos, G. Morianos, S. Ioannidis, I. Salem, D. Manessis, S. Schmid D. Tyrovolas, S. A. Tegos, P. -V. Mekikis, P. D. Diama… 展开作者
C. Liaskos, A. Tsioliaridou, K. Georgopoulos, G. Morianos, S. Ioannidis, I. Salem, D. Manessis, S. Schmid D. Tyrovolas, S. A. Tegos, P. -V. Mekikis, P. D. Diamantoulakis, A. Pitilakis, N. Kantartzis, G. K. Karagiannidis A. Tasolamprou, O. Tsilipakos, M. Kafesaki, I. F. Akyildiz, A. Pitsillides, M. Pateraki, M. Vakalellis, I. Spais
We present a new approach to Extended Reality (XR), denoted as iCOPYWAVES, which seeks to offer naturally low-latency operation and cost-effectiveness, overcoming the critical scalability issues faced by existing solutions. iCOPYWAVES is enabled by emerging PWEs, a recently proposed technology in wireless communications. Empowered by intelligent (meta)surfaces, PWEs transform the wave propagation phenomenon into a software-defined process. We leverage PWEs to i) create, and then ii) selectively copy the scattered RF wavefront of an object from one location in space to another, where a machine learning module, accelerated by FPGAs, translates it to visual input for an XR headset using PWEdriven, RF imaging principles (XR-RF). This makes for an XR system whose operation is bounded in the physical layer and, hence, has the prospects for minimal end-to-end latency. Over large distances, RF-to-fiber/fiber-to-RF is employed to provide intermediate connectivity. The paper provides a tutorial on the iCOPYWAVES system architecture and workflow. A proof-of-concept implementation via simulations is provided, demonstrating the reconstruction of challenging objects in iCOPYWAVES produced computer graphics.
Metasurfaces-Enabled Wave Computing for Future Wireless Systems: Opportunities and Challenges
Institute for Communication Systems, University of Surrey（萨里大学通信系统研究所）；Universidad de Oviedo（奥维耶多大学）；National and Kapodistrian University of Athens（雅典国立卡波迪斯特里亚斯大学）；University of Illinois Chicago（伊利诺伊大学芝加哥分校）；Centre for Wireless Innovation, Queen’s University Belfast（贝尔法斯特女王大学无线创新中心）
Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies
Greater Bay Area Innovation Research Institute of BIT（北京理工大学粤港澳大湾区创新研究院）；Beihang University（北京航空航天大学）；Tsinghua University（清华大学）；ZTE Corporation（中兴通讯股份有限公司）；Imperial College London（伦敦帝国理工学院）；Shanghai Jiao Tong University（上海交通大学）；Aristotle University of Thessaloniki（塞萨洛尼基亚里士多德大学）
Exploiting Structural Flexibility in SIM-Enabled Communications: From Adaptive Inter-Layer Spacing to Fully Morphable Layers
University College Dublin（都柏林大学学院）；New York University Abu Dhabi (NYUAD)（阿布扎比纽约大学）；Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes（巴黎萨克雷大学、法国国家科学研究中心、中央理工-高等电力学院、信号与系统实验室）；King’s College London, Centre for Telecommunications Research – Department of Engineering（伦敦国王学院，电信研究中心-工程系）
Beyond the Limits of Rigid Arrays: Flexible Intelligent Metasurfaces for Next-Generation Wireless Networks
University College Dublin（都柏林大学学院）；New York University Abu Dhabi (NYUAD)（纽约大学阿布扎比分校）；Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes（巴黎萨克雷大学、法国国家科学研究中心、中央苏佩莱克学院、信号与系统实验室）；King’s College London, Centre for Telecommunications Research – Department of Engineering（伦敦国王学院，电信研究中心-工程系）
Beijing University of Posts and Telecommunications（北京邮电大学）；University of Science and Technology Beijing（北京科技大学）；Tsinghua University（清华大学）；Fudan University（复旦大学）；Nanyang Technological University（南洋理工大学）
A Survey on Stacked Intelligent Metasurfaces: Fundamentals, Recent Advances, and Challenges
University of Luxembourg（卢森堡大学）；National Institute of Technology Warangal（瓦朗加尔国立技术学院）；National and Kapodistrian University of Athens（雅典国家与卡波迪斯特里阿斯大学）；University of Illinois Chicago（伊利诺伊大学芝加哥分校）
