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author:

Li, Ran (Li, Ran.) [1] | Chen, Pingping (Chen, Pingping.) [2] (Scholars:陈平平) | Chen, Feng (Chen, Feng.) [3] (Scholars:陈锋)

Indexed by:

CPCI-S EI

Abstract:

Video transmission services on wireless networks are extremely severely affected by wireless network packet loss. It cannot meet the high-quality requirements of real-time video services. Traditional remedial measures adopt error recovery strategies such as Negative-ACKnowledge character (NACK), Forward Error Correction (FEC), and Hybrid Automatic Repeat reQuest (HARQ), these cannot well meet the increasingly stringent needs of users in time-varying networks. This article first analyzes three commonly used anti-packet loss strategies in real-time video transmission, and takes into account the performance effects of different strategies in the aspects of delay, quality, and transmission efficiency. Moreover, we propose an adaptive anti-packet strategy selection algorithm based on the three schemes. We establish a unified system delay model and adopts channel response measures in different link delay performance environments. Experimental results show that the proposed algorithm can dynamically select the optimal antipacket loss solution more sensitively, and optimize the data transmission efficiency on the premise of ensuring the video quality.

Keyword:

adaptive anti-packet strategy FEC HARQ NACK video transmission

Community:

  • [ 1 ] [Li, Ran]Fuzhou Univ, Dept Elect Informat, Fuzhou, Peoples R China
  • [ 2 ] [Chen, Pingping]Fuzhou Univ, Dept Elect Informat, Fuzhou, Peoples R China
  • [ 3 ] [Chen, Feng]Fuzhou Univ, Dept Elect Informat, Fuzhou, Peoples R China

Reprint 's Address:

  • 李然

    [Li, Ran]Fuzhou Univ, Dept Elect Informat, Fuzhou, Peoples R China

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Source :

2021 15TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT)

ISSN: 2326-828X

Year: 2021

Page: 151-156

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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