Minimizing Zapping Delay Using Adaptive Channel Switching with Personalized Electronic Program Guide

Adeliyi, Timothy T.; Olugbara, Oludayo O.; Parbanath, Steven

doi:10.1155/2021/6686576

Cited by 2 publications

(2 citation statements)

References 31 publications

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“…However, the subscribers are not switching to the adjacent channel all the time. Two research studies conducted by Khosroshahi et al and Adeliyi et al [7,17] to propose a technique for predicting the subscriber's desired channel to prepare the next channel in advance and then minimize the zapping delay. Another field of research has been focused on improving the video encoding techniques to minimize the zapping time as demonstrated by Joo et al [18].…”

Section: Related Workmentioning

confidence: 99%

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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Section: Related Workmentioning

confidence: 99%

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

Kareem¹,

Mahmood²,

Al-Falahy³

2022

MMEP

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“…In the end, the BDSN model is intended to be used in the implementation of tailored product recommendations, with the accuracy and interpretability of the model having been tested on a publicly available dataset. e model is then applied to the suggestion module of the mobile-based product display system, which is the final step [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Interaction Design of Mobile-Based Product Display System

2022

Mathematical Problems in Engineering

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Merchandise display design is a type of targeted design that involves the planning and implementation of merchandising, product display, visual communication, and the display of the retail environment in order to increase sales and suit the needs of both producers and customers. In this paper, we propose a mobile-based merchandise display system for the needs of merchandise display and virtual reality shopping in e-commerce. First, this paper analyzes the characteristics of several VR technologies and applies the WebVR 3D interaction engine to realize the online 3D virtual display of real-world and physical products to provide real-time interaction. Furthermore, this paper proposes a behavioral delay shared network model that fully combines historical browsing information to make accurate browsing recommendations to users. For computing the user’s interest representation, the model provides behavioral delay gated recurrent neural units. Finally, to provide a solution for mobile e-commerce apps, the behavioral delayed shared network model is implemented into the display system’s recommendation module.

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Minimizing Zapping Delay Using Adaptive Channel Switching with Personalized Electronic Program Guide

Cited by 2 publications

References 31 publications

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

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

Interaction Design of Mobile-Based Product Display System

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