Отрывок: The calculation equation of the real-time mapping probability is: data packets of frame I , data packets of frame P , data packets of frame B, I ac low high low P ac low t high low B ac low high low T qlen AC T AC AC T qlen ACp T AC AC T qlen AC T AC AC         where pt is the real-time mapping probability; TI, NP, TB are the number of data packets of frame I, P and B, re- spectively; T is the total number of packets; qlenac is the average length of all queues. ...
Название : Cross-layer optimization technology for wireless network multimedia video
Авторы/Редакторы : Xia, W.
Ключевые слова : wireless network
video transmission
cross-layer optimization
quality of service
Дата публикации : Авг-2020
Издательство : Новая техника
Библиографическое описание : 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.
Серия/номер : 44;4
Аннотация : 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.
URI (Унифицированный идентификатор ресурса) : https://dx.doi.org/10.18287/2412-6179-CO-620
http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Crosslayer-optimization-technology-for-wireless-network-multimedia-video-85562
Другие идентификаторы : Dspace\SGAU\20200913\85562
Располагается в коллекциях: Журнал "Компьютерная оптика"

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