Simultaneous Stream Transmission Methods for Free Viewpoint TV: A Comparative Study

Hussain, Mudassar; Alhazmi, Abdurahman Hassan A; Amin, Rashid; Anjum, Muhammad Almas; Tahir, Ali

doi:10.14569/ijacsa.2019.0100774

Cited by 1 publication

(2 citation statements)

References 25 publications

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“…[8] Channel identification 37% [11] Additional multicast stream 21% [18] Channel distribution and video encoding 26% [19] Prediction-based prejoin mechanism 30%…”

Section: Performance Evaluation and Discussionmentioning

confidence: 99%

“…Li et al [10] studied the viewing behavior of the user to measure the potential factors that can affect channel changes. Likewise, Hussain et al [11] proposed pre-join methods to decrease the time of multicast operation of channel zapping via selecting the next most likely channel of the user. Sarni et al [12] suggested a low-quality stream to gain faster random-access point detection in groups of pictures.…”

Section: Related Workmentioning

confidence: 99%

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Performance Evaluation of IPTV Zapping Time Reduction Using Edge Processing of Fog RAN

Kareem¹,

Mahmood²,

Al-Falahy³

2022

MMEP

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Internet Protocol Television (IPTV) is a promising technology that can provide TV broadcast services everywhere and anytime in next-generation wireless networks. However, channel zapping delay time between two successive channel switches is one of the key metrics that may hinder viewers' satisfaction with the IPTV system. Several factors are contributed to prolonging the switching delay such as the delay of the access link that could be generated by the underlying network. In this paper, the minimization of the zapping delay is investigated using the concept of Fog Radio Access Networks (F-RAN) architecture. F-RAN will bring the access points closer to end users (cloud edge). This merit can be utilized an advantageous aspect for minimizing the zapping time of IPTV system due to the low latency communication over F-RAN architecture. To testify the improvement in the IPTV system, an experimental investigation method is applied based on various simulation scenarios. This would be achieved via identifying the problem of the zapping time from the correlated literature, followed by examining the associated causes for this delay. Furthermore, the F-RAN architecture has been proposed as a solution to the part of Zapping Time (ZT) latency that originates from the communication architecture. Additionally, the simulation design is developed based on assessment of two types of cellular architectures, which are the full centralized processing C-RAN and the distributed edge processing F-RAN architecture. The performance evaluation is measured based on the comparison of zapping delay time in both of the F-RAN architecture with the corresponding full centralized C-RAN architecture. Simulation results demonstrate a noticeable reduction in the zapping time with the F-RAN compared to the virtualized C-RAN architecture. Hence, the zapping delay time can be optimized with the application of F-RAN architecture.

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“…[8] Channel identification 37% [11] Additional multicast stream 21% [18] Channel distribution and video encoding 26% [19] Prediction-based prejoin mechanism 30%…”

Section: Performance Evaluation and Discussionmentioning

confidence: 99%