Intelligent reflecting surface design for 6G-assited Internet of things

Zhaorui WANG; Liang LIU; Hang LI; Shuguang CUI

doi:10.11959/j.issn.2096-3750.2020.00160

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Intelligent reflecting surface design for 6G-assited Internet of things

Theory and Technology | 更新时间：2024-06-05

- Intelligent reflecting surface design for 6G-assited Internet of things
- Chinese Journal on Internet of Things Vol. 4, Issue 2, Pages: 84-95(2020)
- 作者机构：
  
  1. 中国香港理工大学，香港
  2. 中国香港中文大学（深圳），广东深圳 518172
  3. 深圳市大数据研究院，广东深圳 518172
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2020.00160
  CLC： TN919
- Published：30 June 2020，
  
  Published Online：2020-06，
- 稿件说明：
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ZHAORUI WANG, LIANG LIU, HANG LI, et al. Intelligent reflecting surface design for 6G-assited Internet of things. [J]. Chinese journal on internet of things, 2020, 4(2): 84-95.
DOI：

ZHAORUI WANG, LIANG LIU, HANG LI, et al. Intelligent reflecting surface design for 6G-assited Internet of things. [J]. Chinese journal on internet of things, 2020, 4(2): 84-95. DOI： 10.11959/j.issn.2096-3750.2020.00160.

摘要

在未来6G无线蜂窝通信网络中，基站需要为分布在各个角落的海量物联网设备提供无缝连接。受限于位置因素，很多物联网设备与基站之间的通信链路由于障碍物的阻挡变得不可靠，这对于在6G时代实现物联网万物互联是一大阻碍。为了解决该难题，分析了在6G物联网中使用智能反射表面这一新技术以增加用户信号在基站端强度的可能性。具体而言，在考虑信道估计开销的前提下，聚焦物联网设备上行通信传输功率最小化问题。一方面，在配备中小规模天线的基站系统中，提出了迭代算法以联合优化用户传输功率、智能反射表面反射系数和基站波束成形。另一方面，在配备大规模天线的基站系统中，提出了具有闭式表达式的用户传输功率、智能反射表面反射系数和基站波束成形设计以降低其应用复杂度。仿真结果验证了智能反射表面在6G物联网中增加网络连接能力的巨大潜力。

Abstract

In the era of the 6G cellular networks

the base station (BS) should be able to provide seamless connectivity for a large number of Internet of things (IoT) devices distributed in various areas.However

constrained by their locations

some IoT devices may possess unreliable communication channels to the BS due to the obstacles between them.It is a big obstacle on the roadmap towards the massively connected IoT networks in the era of 6G .To tackle this challenge

the possibility was studied to employ the newly emerging technique of intelligent reflecting surface (IRS) for enhancing the strength of the IoT devices’ signals at the BS.Specifically

the transmit power minimization problem in an uplink IoT communication system was focused on

where the overhead for channel estimation was taken into account.On one hand

for the case where the BS was equipped with a small or moderate number of antennas

an iterative algorithm was proposed to jointly optimize the user power allocation

the IRS reflecting coefficients

and the BS beamforming vectors.On the other hand

for the case where the BS had a massive number of antennas

i.e.

massive multiple-input multiple-output (MIMO)

a low-complexity design of the user power allocation

the IRS reflecting coefficients

and the BS beamforming vectors was provided in a closed-form.Numerical results validate the great potential of IRS for enhancing massive connectivity in the future 6G-assisted IoT networks.

关键词

智能反射表面6G物联网资源优化大规模天线技术

Keywords

intelligent reflecting surface6GInternet of thingsresource allocationmassive MIMO technology

references

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