Green Optical Wireless Communications Facilitated by Photonic Power Harvesting "GreenCom"

光子能量收集“GreenCom”促进绿色光无线通信

• 批准号: EP/X027511/1
• 负责人: Harald Haas
• 金额: $ 93.24万
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX027511%2F1
• 关键词: Green; Optical; Wireless; Communications; Facilitated

Today, mobile devices such as smartphones and wearables are usually powered by batteries, while a data connection to the internet is provided by radio frequency (RF) signals. The need for the daily charging of our mobile devices is considered a hurdle to scale the number of internet of things (IoT) connections and the large-scale introduction of new devices such as augmented and virtual reality (AR/VR) and industry 4.0 applications. At the same time, the demand for higher data rates and ultra-low latency data connections is set to increase in future sixth generation (6G) cellular networks. The GreenCom project will address both requirements jointly. We are developing optical wireless communication systems that achieve a 10 times higher data rate compared to current wireless systems, while the system harvests energy from the data link as well as the ambient light. The project will unlock new potentials for energy-efficient, ultra-high speed, and ultra-low latency wireless connectivity. The ambitious goals of this project are achieved through an international collaboration with the German Fraunhofer Institute for Solar Energy Systems (ISE) who are world-leading in the development of energy efficient photovoltaic (PV) cells. ISE will develop unique semiconductor devices for combined power harvesting and data reception with unprecedented photovoltaic conversion efficiency and digital data reception capability. The University of Strathclyde's LiFi Research and Development Centre (LRDC) will develop the communication techniques, algorithms and protocols to facilitate optimum energy harvesting and ultra-high data rates and ultra-low latency in a multiuser environment. Scalability of both harvested power and data rates will be achieved by creating parallel transmission links separated in space and by means of different wavelengths. This partnership will create new applications in the fields of future sustainable mobile wireless communications (including optical wireless fronthaul, optical wireless backhaul) as well as smart wireless devices for the Internet of Things (IoT), the Internet of Senses and Industry 4.0 applications, and thereby lay the foundation for a new research area. Joint experimentation within the project will push the performance boundaries of optical wireless multiuser links and will set a new benchmark for simultaneous harvested power and transmitted data rates with 1 W harvested power at 10 m distance and 10 Gb/s link data rate, respectively.

如今，智能手机和可穿戴设备等移动设备通常由电池供电，而互联网的数据连接则由射频 (RF) 信号提供。移动设备的日常充电需求被认为是扩大物联网 (IoT) 连接数量以及大规模引入增强现实和虚拟现实 (AR/VR) 以及工业 4.0 应用等新设备的障碍。与此同时，未来第六代 (6G) 蜂窝网络对更高数据速率和超低延迟数据连接的需求将会增加。 GreenCom 项目将共同满足这两个要求。我们正在开发光学无线通信系统，其数据速率比当前无线系统高 10 倍，同时该系统从数据链路和环境光中收集能量。该项目将释放节能、超高速和超低延迟无线连接的新潜力。该项目的宏伟目标是通过与德国弗劳恩霍夫太阳能系统研究所 (ISE) 的国际合作实现的，该研究所在节能光伏 (PV) 电池的开发方面处于世界领先地位。 ISE 将开发独特的半导体器件，用于组合电力收集和数据接收，具有前所未有的光伏转换效率和数字数据接收能力。斯特拉斯克莱德大学的 LiFi 研究与开发中心 (LRDC) 将开发通信技术、算法和协议，以促进多用户环境中的最佳能量收集以及超高数据速率和超低延迟。通过创建在空间上分离并利用不同波长的并行传输链路，可以实现所收集的功率和数据速率的可扩展性。此次合作将在未来可持续移动无线通信（包括光纤无线前传、光纤无线回传）以及物联网（IoT）、传感互联网和工业4.0应用的智能无线设备领域创造新的应用，以及从而为新的研究领域奠定基础。该项目内的联合实验将突破光学无线多用户链路的性能极限，并将为同步采集功率和传输数据速率设立新基准，分别在 10 m 距离和 10 Gb/s 链路数据速率下采集 1 W 功率。

项目成果

Dual-mode spatial index modulation for MIMO-OWC

MIMO-OWC 的双模空间索引调制

• DOI: http://dx.10.1364/ol.509658
• 发表时间: 2024
• 期刊: Optics Letters
• 影响因子: 3.6
• 作者: Zhong X

Double-Sided Beamforming in VLC Systems Using Omni-Digital Reconfigurable Intelligent Surfaces

使用全数字可重构智能表面的 VLC 系统中的双面波束成形

• DOI: 10.1109/mcom.002.2300043
• 发表时间: 2024-02-01
• 期刊: IEEE Communications Magazine
• 影响因子: 11.2
• 作者: A. Ndjiongue;T. Ngatched;O. Dobre;Harald Haas;Hyundong Shin
• 通讯作者: Hyundong Shin

Joint Position and Orientation Estimation in VCSEL-Based LiFi Networks: A Deep Learning Approach

基于 VCSEL 的 LiFi 网络中的联合位置和方向估计：一种深度学习方法

• DOI: http://dx.10.1109/globecom54140.2023.10436886
• 发表时间: 2023
• 作者: Ahmad R

Efficient capacity enhancement using OFDM with interleaved subcarrier number modulation in bandlimited UOWC systems.

在带限 UOWC 系统中使用 OFDM 和交错子载波数量调制来有效增强容量。

• DOI: http://dx.10.1364/oe.496965
• 发表时间: 2023
• 期刊: Optics express
• 影响因子: 3.8
• 作者: Chen J

Energy and Spectral Efficiency of Multi-Tier LiFi Networks

• DOI: 10.1109/wcnc55385.2023.10118728
• 发表时间: 2023-03-01
• 期刊: 2023 IEEE Wireless Communications and Networking Conference (WCNC)
• 作者: Ahmet Burak Ozyurt;R. Bian;H. Haas;W. Popoola
• 通讯作者: W. Popoola