SWIFT: LARGE: Design and Operating Principles of a Wave-Controlled Holographic MIMO System

SWIFT：LARGE：波控全息 MIMO 系统的设计和操作原理

• 批准号: 2030029
• 负责人: Ender Ayanoglu
• 金额: $ 110万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030029&HistoricalAwards=false
• 关键词: SWIFT; LARGE; Design; Operating; Principles

The capacity of massive multi-input multi-output (MIMO) networks is shown to be theoretically unlimited as the number of antennas grows, provided that the spatial correlation inherent in the propagation channel is exploited. This proposal employs this observation using the assistance of novel “intelligent reflecting surfaces” (IRS) that can adaptively modify the spatial characteristics of the MIMO channel. The overall project goal is to improve spectrum efficiency and co-existence. To achieve this goal, the proposed device employs a metasurface with cells whose reflection properties can be programmed to take an impinging electromagnetic field and reshape the reflected field. For coexistence, a narrow beam of energy impinging on the IRS could be redirected towards a receiver that might otherwise be blocked from the transmission. Furthermore, the IRS can provide very complex reflection patterns to re-equalize the wireless channel links. The novelty of the proposal is the fact that the phase shifts are governed not by individual controls that would require numerous bulky electrical connections, but by electromagnetic waves launched onto thin waveguides on the reflecting surface. Given the boundary conditions of these waveguides, the controlling wave is designed as a linear superposition of periodic modes whose coefficients determine the phase shifts. A prototype of this device will be built and algorithms for its control and the control of the massive MIMO network will be developed.There will be four research activities. In the first, a novel IRS architecture with electromagnetic wave control will be designed. In the second activity, reduced-dimension algorithms for single-cell control of the IRS will be developed, together with corresponding methods for estimating the channel state information. The third activity will focus on the use of machine learning algorithms for incorporating multiple such IRS into a multi-cell setting with many users, in order to optimize the resulting huge number of parameters required for control of the phase shifts as well as channel state information acquisition and control functions such as base station handover. The fourth research activity will focus on testing our novel IRS prototype in a point-to-point MIMO network to demonstrate its ability to improve the link performance by means of the reduced dimension control variables. The development of the proposed IRS and its control will achieve high spectral efficiency while allowing for coexistence of multiple different co-channel networks. At the same time, the proposed IRS will have lower cost, higher energy efficiency, and simpler synchronization properties than alternatives based on relays. Control of the IRS will involve a multi-layer approach for scheduling and resource allocation in order to address issues such as multi-user interference and fairness.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

大规模的多输入多输出（MIMO）网络的容量被证明是理论上无限的天线数量的增长，只要利用固有的空间相关性的传播信道。该建议采用这种观察，使用新的“智能反射表面”（IRS），可以自适应地修改MIMO信道的空间特性的援助。项目的总体目标是提高频谱效率和共存性。为了实现这一目标，所提出的设备采用具有单元的超表面，单元的反射特性可以被编程为接收撞击电磁场并重塑反射场。为了共存，撞击在IRS上的窄能量束可以被重定向到接收器，否则接收器可能被阻止传输。此外，IRS可以提供非常复杂的反射模式以重新均衡无线信道链路。该提议的新奇之处在于，相移不是由需要大量庞大电连接的单独控制来控制，而是由发射到反射表面上的薄波导上的电磁波来控制。给定这些波导的边界条件，控制波被设计为周期模式的线性叠加，其系数确定相移。该设备的原型将被建立，其控制算法和大规模MIMO网络的控制将被开发。将有四个研究活动。第一部份，将设计一种新颖的具有电磁波控制的IRS架构。在第二个活动中，将开发用于IRS的单小区控制的降维算法，以及用于估计信道状态信息的相应方法。第三项活动将集中于使用机器学习算法将多个这样的IRS合并到具有许多用户的多小区设置中，以便优化相移控制以及信道状态信息获取和控制功能（例如基站切换）所需的大量参数。第四个研究活动将集中在测试我们的新IRS原型在点对点MIMO网络中，以证明其能力，以提高链路性能的手段，减少维控制变量。所提出的IRS及其控制的发展将实现高频谱效率，同时允许多个不同的同信道网络的共存。同时，所提出的IRS将具有更低的成本，更高的能量效率，和更简单的同步性能比基于继电器的替代品。IRS的控制将涉及调度和资源分配的多层方法，以解决多用户干扰和公平性等问题。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Channel Estimation With Reconfigurable Intelligent Surfaces--A General Framework

• DOI: 10.1109/jproc.2022.3170358
• 发表时间: 2022-05-09
• 期刊: PROCEEDINGS OF THE IEEE
• 影响因子: 20.6
• 作者: Swindlehurst, A. Lee;Zhou, Gui;Li, Ming
• 通讯作者: Li, Ming

Channel Estimation for RIS-Aided Multi-User mmWave Systems With Uniform Planar Arrays

• DOI: 10.1109/tcomm.2022.3214892
• 发表时间: 2022-08
• 期刊: IEEE Transactions on Communications
• 影响因子: 8.3
• 作者: Zhendong Peng;Gui Zhou;Cunhua Pan;Hong Ren;A. L. Swindlehurst;P. Popovski;Gang Wu

Estimation of Cellular Wireless User Coordinates via Channel Charting and MUSIC

通过频道图表和音乐估计蜂窝无线用户坐标

• DOI: 10.1109/icnc57223.2023.10074200
• 发表时间: 2023
• 期刊: Networking and Communications (ICNC
• 作者: Aly, Amr;Ayanoglu, Ender
• 通讯作者: Ayanoglu, Ender

Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems

基于机器学习的可重构智能表面辅助 MIMO 系统

• DOI: 10.1109/spawc51858.2021.9593256
• 发表时间: 2021
• 期刊: Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC
• 作者: Nguyen, Nhan Thanh;Nguyen, Ly V.;Huynh-The, Thien;Nguyen, Duy H.;Lee Swindlehurst, A.;Juntti, Markku
• 通讯作者: Juntti, Markku

Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems

• DOI: 10.1109/tsp.2022.3158024
• 发表时间: 2022-01-01
• 期刊: IEEE TRANSACTIONS ON SIGNAL PROCESSING
• 影响因子: 5.4
• 作者: Zhou, Gui;Pan, Cunhua;Swindlehurst, A. Lee
• 通讯作者: Swindlehurst, A. Lee