In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Technology of Network & Communication
|
263-266

Spectrum efficiency analysis of large-scale MU-MISO system in spatial correlation channel

Hu Yaowena
Zeng Guigenb
a. College of Telecommunications & Information Engineering, b. Institute of Signal Processing & Transmission, Nanjing University of Posts & Telecommunications, Nanjing 210003, China

Abstract

In the large-scale MU-MISO system, this paper studied the spectral efficiency affected by the channel and power allocation in spatially correlated channels. Firstly, it derived the transmit correlation matrix of the user from steering matrix which was determined by the wave path difference of the transmission signal. Then it established spatial correlation channel under the large-scale shadow fading and the scattering environment with Gaussian distribution. Based on the spatial correlation channel, it simulated the precoding which could reduce the interference between multiple users for the spectral efficiency performance. Finally, this paper proposed a power allocation algorithm that made the spectrum efficiency maximized in the scenario where the transmit power was limited and signal to interference plus noise ratio of each user was limited in receive signal. The simulation shows that the spectral efficiency of RZF precoding in spatially correlated channels is better than that of MRT precoding. And compared with the average power allocation, the spectral efficiency with the proposed algorithm which has strong theoretical and practical significance has the improvement.

Foundation Support

国家自然科学基金面上项目(61471202)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0467
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Technology of Network & Communication
Pages: 263-266
Serial Number: 1001-3695(2020)01-055-0263-04

Publish History

[2020-01-05] Printed Article

Cite This Article

胡耀文, 曾桂根. 空间相关信道下大规模MU-MISO系统频谱效率分析 [J]. 计算机应用研究, 2020, 37 (1): 263-266. (Hu Yaowen, Zeng Guigen. Spectrum efficiency analysis of large-scale MU-MISO system in spatial correlation channel [J]. Application Research of Computers, 2020, 37 (1): 263-266. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)