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Technology of Network & Communication
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3388-3393

Joint beamforming design based on explicit channel estimation in hybrid IRS assisted massive MISO systems

Li Ye
Wu Tingting
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

For the beamforming design of intelligent reflector assisted large-scale MISO systems, most of the current researches are basing on the fully known channel state information, and do not consider the coupling relationship between the active beamforming matrix at the base station and the reflection coefficient matrix of intelligent reflector. The intelligent reflector assisted channel is a cascade channel, which is difficult to estimate and has high pilot frequency overhead. In view of this, this paper proposed a hybrid intelligent reflective surface architecture containing active and passive components. Firstly, based on the sparse characteristics of millimeter-wave channels, it used the compressed sensing algorithm to estimate the channels, and designed a two-stage convolutional network framework integrating attention mechanism to jointly optimize the reflection coefficient matrix and beamforming matrix with the aim of maximizing and rate. The experimental results show that compared to existing methods, the proposed method can achieve better sum rate performance with fewer pilots, effectively reducing pilot loss and reducing computational time complexity. And when the communication environment changes, the network also has good robustness.

Foundation Support

华为技术有限公司合作项目(YBN2019115054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0118
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Technology of Network & Communication
Pages: 3388-3393
Serial Number: 1001-3695(2023)11-029-3388-06

Publish History

[2023-05-31] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

李烨, 邬婷婷. 混合IRS辅助大规模MISO中基于显性信道估计的联合波束成形设计 [J]. 计算机应用研究, 2023, 40 (11): 3388-3393. (Li Ye, Wu Tingting. Joint beamforming design based on explicit channel estimation in hybrid IRS assisted massive MISO systems [J]. Application Research of Computers, 2023, 40 (11): 3388-3393. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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