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Towards Sustainable ICT: Sparse Ubiquitous Networks based on Reconfigurable Intelligent Surfaces

迈向可持续信息通信技术：基于可重构智能表面的稀疏无处不在的网络

基本信息

批准号：
EP/W035588/1
负责人：
Yuanwei Liu
金额：
$ 36万
依托单位：
Queen Mary University of London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FW035588%2F1
关键词：
Towards Sustainable ICT Sparse Ubiquitous

项目摘要

The ever-increasing demand for ubiquitous wireless communication services with high data rate, low latency, and high reliability is considered unsustainable from an environmental perspective. In particular, the emerging high-rate services in the millimetre-wave (mmWave) range require a large number of base stations to cover larger areas or urban environments, which leads to a significant increase in the consumption of energy and resources.Several ideas exist to improve these networks without the need for additional base stations; in particular, reconfigurable intelligent surfaces (RIS) have recently been proposed as sustainable alternatives for many application scenarios. The main idea is to intelligently reflect otherwise unused and wasted signals back onto a path to the user, to improve overall coverage and throughput. However, such RISs typically require a large number of actively tunable components to dynamically redirect the reflections towards the users. The associated energy consumption prevents sustainability from being ensured in this way.This project builds on the idea of enhancing the wireless links via smart reconfigurable surfaces, but it adds an important key ingredient to actually achieve sustainability, while providing the needed improvement for wireless service coverage: sparsity. Sparse placement of tunable components on these reconfigurable surfaces, then referred to as sparse reconfigurable intelligent surfaces (SRISs), results in significant energy efficiency improvement. Beyond that, employing sparsity also in the deployment of these SRISs, further improves sustainability, by minimizing both manufacturing costs and used resources as well as overall energy consumption.Key components of the projects include the development of physics-based models of SRIS and a holistic design methodology based on combining ideas from metasurface design and sparsification, channel modelling via efficiency-enhancing electromagnetic simulation techniques, and optimisation of resource allocation and deployment (via modern convex optimisation and relaxation as well as artificial intelligence (AI)-based methods) to maximize SRIS improvement. Prototypes and measurements will prove the working concepts.This project will pave the way toward future high-performance wireless networks that are energy-efficient and sustainable by design.

从环境的角度来看，对无处不在的高数据速率、低延迟和高可靠性无线通信服务日益增长的需求被认为是不可持续的。特别是新兴的毫米波（mmWave）范围内的高速率业务，需要大量的基站来覆盖更大的区域或城市环境，这导致能源和资源的消耗显著增加。有几个想法可以改善这些网络，而不需要额外的基站；特别是，可重构智能表面（RIS）最近被提出作为许多应用场景的可持续替代方案。其主要思想是智能地将未使用和浪费的信号反射回用户的路径上，以提高总体覆盖和吞吐量。然而，这样的RISs通常需要大量的主动可调组件来动态地将反射重定向到用户。相关的能源消耗阻碍了以这种方式确保可持续性。该项目建立在通过智能可重构表面增强无线链路的想法之上，但它增加了一个重要的关键因素，以实际实现可持续性，同时为无线服务覆盖提供必要的改进：稀疏性。在这些可重构表面上稀疏放置可调组件，然后称为稀疏可重构智能表面（SRISs），可以显著提高能源效率。除此之外，在这些SRISs的部署中也采用了稀疏性，通过最大限度地降低制造成本和使用的资源以及总体能耗，进一步提高了可持续性。该项目的关键组成部分包括开发基于物理的SRIS模型和基于结合超表面设计和稀疏化思想的整体设计方法，通过提高效率的电磁仿真技术进行通道建模，以及优化资源分配和部署（通过现代凸优化和放松以及基于人工智能（AI）的方法），以最大限度地改进SRIS。原型和测量将证明工作概念。该项目将为未来高效节能和可持续设计的高性能无线网络铺平道路。