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Cross-layer optimization technology for wireless network multimedia video
W. Xia 1

1 Network and Information Management Center, Bengbu University, Bengbu, Anhui 233030, China

 PDF, 2064 kB

DOI: 10.18287/2412-6179-CO-620

Pages: 582-588.

Full text of article: English language.

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.

Citation:
Xia W. Cross-layer optimization technology for wireless network multimedia video. Computer Optics 2020; 44(4): 582-588. DOI: 10.18287/2412-6179-CO-620.

Acknowledgements:
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).

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