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Wireless Networks
Erschienen in: Wireless Networks 5/2018

01.12.2016

Efficient scalable video multicast based on network-coded communication

verfasst von: Phuc Chau, Jitae Shin, Jaehoon (Paul) Jeong

Erschienen in: Wireless Networks | Ausgabe 5/2018

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Abstract

In order to increase the efficiency of mobile video transmission in a 5G network, this paper investigates a cooperative multicast of scalable video using network coding with adaptive modulation and coding over dedicated relay-based cellular networks. Different scalable video layers prefer different protection degrees, and user equipments (UEs) in different locations experience different packet loss rates in wireless networks. Guaranteeing that all UEs experience a certain level of video quality is one of the biggest challenges in scalable video multicast. Using the number of satisfied UEs as a metric, the proposed efficient scalable video multicast based on network-coded cooperation (SVM-NC) scheme, combined with adaptive modulation and coding, enhances the attainable system performance under strict time and bandwidth resource constraints for guaranteed smooth playback. Various simulations were performed for performance evaluation. The proposed scheme ensures that the expected percentage of satisfied UEs approximately achieves the maximum number of UEs in a multicast group by using network-coded cooperation over dedicated relay-based cellular networks. In addition, the peak signal-to-noise ratio metric is asymptotic to the maximum performance of high-resolution video quality offered by service providers.
Vorheriger Artikel NS-2 based simulation framework for cognitive radio sensor networks
Nächster Artikel Proportional bandwidth allocation with consideration of delay constraint over IEEE 802.11e-based wireless mesh networks

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Metadaten
Titel
Efficient scalable video multicast based on network-coded communication
verfasst von
Phuc Chau
Jitae Shin
Jaehoon (Paul) Jeong
Publikationsdatum
01.12.2016
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 5/2018
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1409-6

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