Computer Optics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2020, Volume 44, Issue 4, paper published in the English version journal
DOI: https://doi.org/10.18287/2412-6179-CO-620
(Mi co824)
 

This article is cited in 3 scientific papers (total in 3 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Cross-layer optimization technology for wireless network multimedia video

W. Xia

Network and Information Management Center, Bengbu University, Bengbu, Anhui 233030, China
References:
Abstract: With the development of communication technology, wireless Internet has become more and more popular. The traditional network layered protocols cannot meet the increasingly rich network services, especially video. This paper briefly introduced the cross-layer transmission of video in wireless network and the cross-layer optimization algorithm used for improving video transmission quality and improved the traditional cross-layer algorithm. Then, the two cross-layer algorithms were simulated and analyzed on MATLAB software. The results showed that the packet delivery rate, peak signal to noise ratio and downlink throughput of the improved cross-layer algorithm were significantly higher than those of the traditional cross-layer algorithm under the same signal to interference plus noise ratio of receiving users in wireless network; meanwhile, with the increase of signal to interference plus noise ratio of the receiving user, the packet delivery rate and peak signal to noise ratio of the two algorithms increased, and tended to be stable after some signal to interference plus noise ratio, while the throughput of the two algorithms increased linearly. In the established real wireless network, the package delivery rate, peak signal to noise ratio and throughput of video after application of cross-layer algorithm were significantly improved, and the wireless network applying the improved cross-layer algorithm improved more. In summary, compared with the traditional cross-layer algorithm, the improved cross-layer algorithm can better improve the transmission quality of video in wireless network.
Keywords: wireless network, video transmission, cross-layer optimization, quality of service.
Funding agency Grant number
project of Anhui 2017jyxm0542
This paper is one of the periodic achievements of the 2017 provincial major fund teaching and research project of Anhui province, "research on education teaching support function of informatization and digitization campus construction" (project number: 2017jyxm0542).
Received: 20.08.2019
Accepted: 02.12.2019
Document Type: Article
Language: Russian
Citation: W. Xia
Citation in format AMSBIB
\Bibitem{Xia20}
\by W.~Xia
\mathnet{http://mi.mathnet.ru/co824}
\crossref{https://doi.org/10.18287/2412-6179-CO-620}
Linking options:
  • https://www.mathnet.ru/eng/co824
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024