Design of OFDM-IM system based on IRS-assisted

Mengmeng ZHAO; Liming HE; Fangfang LIU

doi:10.11959/j.issn.1000-0801.2023136

您当前的位置：

首页 >

文章列表页 >

Design of OFDM-IM system based on IRS-assisted

Research and Development | 更新时间：2024-06-05

- Design of OFDM-IM system based on IRS-assisted
- Telecommunications Science Vol. 39, Issue 7, Pages: 59-67(2023)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023136
  CLC： TN929
- Published Online：2023-07，
  
  Published：20 July 2023
- 稿件说明：
移动端阅览
Mengmeng ZHAO, Liming HE, Fangfang LIU. Design of OFDM-IM system based on IRS-assisted[J]. Telecommunications science, 2023, 39(7): 59-67.
DOI：

Mengmeng ZHAO, Liming HE, Fangfang LIU. Design of OFDM-IM system based on IRS-assisted[J]. Telecommunications science, 2023, 39(7): 59-67. DOI： 10.11959/j.issn.1000-0801.2023136.

摘要

索引调制（index modulation，IM）和智能反射面（intelligent reflecting surface，IRS）是新兴的移动通信技术。为了提高传统正交频分复用（orthogonal frequency division multiplexing，OFDM）系统的可靠性，设计一种基于 IRS 的索引调制正交频分复用（orthogonal frequency division multiplexing-index modulation， OFDM-IM）系统。首先，使用空间调制和频域调制设计OFDM-IM系统，增大子载波间的欧几里得距离。其次，通过建立等效电路模型，设计实用的IRS模型。最后，使用交替优化算法联合优化接入点（access point， AP）的主动发射功率和IRS处的被动波束形成。仿真结果表明，基于IRS辅助的OFDM-IM系统与基准方案相比，其误符号率（symbol error rate，SER）或误码率（bit error rate，BER）可以降低60%～90%，在较高信噪比情况下，系统SER或BER可达到1.0×10

-6

，这说明IM和IRS技术的引入优化了端到端通信系统的链路传输质量。此外，以基于IRS辅助的OFDM-IM系统为标准，仿真结果证明了IRS模型和IM中各参数对系统的影响，并得出了系统中各模型参数要根据信道状态信息（channel state information，CSI）合理选择的结论。

Abstract

Index modulation (IM) and intelligent reflecting surface (IRS) are emerging mobile communication technologies.In order to improve the reliability of traditional orthogonal frequency division multiplexing (OFDM) system

an orthogonal frequency division multiplexing with index modulation (OFDM-IM) system based on IRS-assisted was designed.Firstly

the OFDM-IM system was designed by using spatial modulation and frequency domain modulation to increase the Euclidean distance betwe

en subcarriers.Then

by establishing an equivalent circuit model

a practical IRS model was obtained.Finally

an alternating optimization algorithm was used to optimize the active transmission power of the access point (AP) and passive beamforming of the IRS jointly.The simulation results show that compared to the benchmark scheme

the symbol error rate (SER) or bit error rate (BER) of the OFDM-IM system based on IRS-assisted can be reduced by 60%～90%.Especially in the case of high signal-to-noise ratio

the SER or BER of the system can reach 1.0×10

-6

which indicates that the introduction of IM and IRS technologies has optimized the link transmission quality of end-to-end communication system.In addition

based on the IRS-assisted OFDM-IM system as the standard

simulations are conducted to demonstrate the impact of various parameters from the IRS model and IM.It concludes that the parameters in the system should be selected reasonably according to channel state information (CSI).

关键词

Keywords

references

LI Q , WEN M W , CLERCKX B , et al . Subcarrier index modulation for future wireless networks:principles,applications,and challenges [J ] . IEEE Wireless Communications , 2020 , 27 ( 3 ): 118 - 125 .

LUO J S , WANG S L , WANG F G . Joint transmitter-receiver spatial modulation design via minimum Euclidean distance maximization [J ] . IEEE Journal on Selected Areas in Communications , 2019 , 37 ( 9 ): 1986 - 2000 .

CAO R , LEI X , XIAO Y , et al . Space-frequency index modulation for combating ICI in intelligent mobility communications [J ] . IEEE Access , 2020 ( 8 ): 21272 - 21281 .

ZHANG S Y , SHAHRRAVA B . Polar-coded OFDM with index modulation [J ] . IEEE Access , 2020 ( 9 ): 237 - 247 .

姚建文 , 王楠 . 智能反射面:大有前景的6G技术 [J ] . 电信快报 , 2020 ( 7 ): 8 - 13 .

YAO J W , WANG N . Intelligent reflector—a promising 6G technology [J ] . Telecommunications Information , 2020 ( 7 ): 8 - 13 .

ZHENG B X , WU Q Q , ZHANG R . Intelligent reflecting surface-assisted multiple access with user pairing:NOMA or OMA? [J ] . IEEE Communications Letters , 2020 , 24 ( 4 ): 753 - 757 .

WANG P L , FANG J , DUAN H P , et al . Compressed channel estimation for intelligent reflecting surface-assisted millimeter wave systems [J ] . IEEE Signal Processing Letters , 2020 ( 27 ): 905 - 909 .

ZHAN L , ZHAO H , ZHANG W H , et al . Performance analysis and node selection of intelligent reflecting surface-aided visible light communication for parallel vehicles [J ] . Wireless Communications and Mobile Computing , 2022 : 1 - 11 .

朱政宇 , 侯庚旺 , 黄崇文 , 等 . 基于并行 CNN 的 RIS 辅助D2D保密通信系统资源分配算法 [J ] . 通信学报 , 2022 , 43 ( 3 ): 172 - 179 .

ZHU Z Y , HOU G W , HUANG C W , et al . Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN [J ] . Journal on Communications , 2022 , 43 ( 3 ): 172 - 179 .

KUMAR V , FLANAGAN M F , KWAN N D W , et al . On the secrecy rate under statistical QoS provisioning for RIS-assisted MISO wiretap channel [C ] // Proceedings of 2021 IEEE Global Communications Conference (GLOBECOM) . Piscataway:IEEE Press , 2022 : 1 - 6 .

ABEYWICKRAMA S , ZHANG R , YUEN C . Intelligent reflecting surface:practical phase shift model and beamforming optimization [C ] // Proceedings of ICC 2020 - 2020 IEEE International Conference on Communications (ICC) . Piscataway:IEEE Press , 2020 : 1 - 6 .

CAI W H , LI H Y , LI M , et al . Practical modeling and beamforming for intelligent reflecting surface aided wideband systems [J ] . IEEE Communications Letters , 2020 , 24 ( 7 ): 1568 - 1571 .

HIDIR E K , BASAR E , CIRPAN H A . On practical RIS-aided OFDM with index modulation [J ] . IEEE Access , 2023 ( 11 ): 13113 - 13120 .

WU Q Q , ZHANG S W , ZHENG B X , et al . Intelligent reflecting surface-aided wireless communications:a tutorial [J ] . IEEE Transactions on Communications , 2021 , 69 ( 5 ): 3313 - 3351 .

JUNG M , SAAD W , DEBBAH M , et al . On the optimality of reconfigurable intelligent surfaces (RISs):passive beamforming,modulation,and resource allocation [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 7 ): 4347 - 4363 .

LI H Y , CAI W H , LIU Y , et al . Intelligent reflecting surface enhanced wideband MIMO-OFDM communications:from practical model to reflection optimization [J ] . IEEE Transactions on Communications , 2021 , 69 ( 7 ): 4807 - 4820 .

徐勇军 , 高正念 , 王茜竹 , 等 . 基于智能反射面辅助的无线供电通信网络鲁棒能效最大化算法 [J ] . 电子与信息学报 , 2022 , 44 ( 7 ): 2317 - 2324 .

XU Y J , GAO Z N , WANG Q Z , et al . Robust energy efficiency maximization algorithm for intelligent reflecting surface-aided wireless powered-communication networks [J ] . Journal of Electronics ＆ Information Technology , 2022 , 44 ( 7 ): 2317 - 2324 .

ÖZDOGAN Ö , BJÖRNSON E , LARSSON E G . Intelligent reflecting surfaces:physics,propagation,and pathloss modeling [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 5 ): 581 - 585 .

BUDIMAN A , SUGIHARTONO , ARSENO D . PAPR reduction by data subcarriers and null subcarriers switching [C ] // Proceedings of 2015 1st International Conference on Wireless and Telematics (ICWT) . Piscataway:IEEE Press , 2016 : 1 - 5 .

朱政宇 , 王梓晅 , 徐金雷 , 等 . 智能反射面辅助的未来无线通信:现状与展望 [J ] . 航空学报 , 2022 , 43 ( 2 ): 198 - 212 .

ZHU Z Y , WANG Z X , XU J L , et al . Future wireless communication assisted by intelligent reflecting surface:state of art and prospects [J ] . Acta Aeronauticaet Astronautica Sinica , 2022 , 43 ( 2 ): 198 - 212 .

Views

191

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

IRS-assisted D2D system resource allocation and RCG beamforming optimization in H-CRAN

IRS-assisted full-duplex ISAC system beamforming design

A signal design method for LEO satellite communication and navigation integration based on optimized CCSK modulation

A genetic algorithm based method of optimizing dispersion matrix for RDSM system

Energy-efficiency priority based beamforming design and optimization in IRS-assisted SWIPT system

Related Author

BAO Jianrong

WU Jun

XUE Jishou

XU Xiaorong

TAO Yu

CHEN Qianbin

FANG Jiacheng

XIN Yanan

Related Institution

School of Communication Engineering, Hangzhou Dianzi University

School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications

School of Electronics and IoT Engineering, Chongqing Industry Polytechnic College

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications

Department of Electrical and Computer Engineering, Concordia University, Montreal H3G1M8

⁰