Video Delivery Challenges and Opportunities in 4G Networks

Pande, Amit; Ahuja, Vishal; Sivaraj, Rajarajan; Baik, Eilwoo; Mohapatra, Prasant

doi:10.1109/mmul.2013.44

Cited by 28 publications

(8 citation statements)

References 10 publications

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“…In [18], Pande et al detailed some challenges in delivery of multimedia content over 4G networks for several application scenarios. They classified mobile video applications into four broad categories and analyze the current trends, issues, and opportunities of mobile video delivery in cellular networks.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Algorithm for Enhancing MPEG-DASH QoE in eMBMS

Taha

Jiménez

Cánovas

et al. 2018

NPA

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Multimedia streaming is the most demanding and bandwidth hungry application in today's world of Internet. MPEG-DASH as a video technology standard is designed for live or on-demand streams in Internet to deliver better quality content with the fewest dropouts and least possible buffering. Hybrid architecture of DASH and eMBMS have attracted a great attention from the telecommunication industry and multimedia services. It is employed in response to the immense demand of multimedia traffic. However, handover and limited resources are highly affected when they lose segments of the adaptive video streaming while the users are receiving the eMBMS service. It is a problem for service and network providers when they deliver the service because it produces an adverse impact on Quality of Experience (QoE). In this paper, we show a case study to evaluate MPEG-DASH QoE in eMBMS service, by measuring the Quality of Service (QoS) metrics that influence the QoE. We observe the objective metrics like stalling (number, duration and place), buffer length and accumulative video time to assess the QoE. A smart algorithm is developed to predict the rate of the lost segments in multicast adaptive video streaming. The algorithm uses an estimation decision to recover the lost segments from one of the content providers. According to the obtained results based on our proposed algorithm, the user perceived latency is highly decreased in comparison to the traditional approach of MPEG-DASH multicast and unicast when there is high number of users.

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Section: Related Workmentioning

confidence: 99%

Intelligent Algorithm for Enhancing MPEG-DASH QoE in eMBMS

Taha

Jiménez

Cánovas

et al. 2018

NPA

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“…These end points can be published on the network as live streams available for subscription. [19] classify the types of video delivery on mobile broadband networks (4G) into four classes, namely, Video-on-demand (VoD), Video multicast, Video chat and Video uploads. They mention that the type of application and network conditions largely affects the choice and performance of video service.…”

Section: Mec -Enabling Demanding Servicesmentioning

confidence: 99%

Unmanned Aerial Vehicles (UAVs) as on-demand QoS enabler for Multimedia Applications in Smart Cities

Garge¹,

Balakrishna

2018

2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

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The evolution of drones and similar small wingspan UAVs has resulted in their use in many commercial applications. This has allowed investigating the potential use of drones in the context of Internet of Things. In the recent past, there is ample evidence indicating the use of UAVs as a means to supplement mobile infrastructure to extend it for surveillance, monitoring, data collection and providing on-demand network access capabilities. This paper explores the potential of UAVs to act as on-demand QoS enablers for TCP-based applications within Smart Cities, particularly those applications that require low connection delays, reliability and high throughputs such as multimedia streaming. Many multimedia rich applications, such as live streaming, multi-player online gaming are mostly tied down to fixedline broadband infrastructure. Mobile cloud technologies and Mobile Edge Computing (MEC) address the challenge by bringing the computing, storage and networking resources to the edge and integrating with the base station, thereby providing better content delivery. The paper presents a concept of UAV-based aerial MEC, which hosts a TCP-proxy that acts as an 'On-Demand QoS' enabler to TCP-based applications in Smart Cities reducing the overall-connection delays and increasing the throughput thereby enhancing the end-user experience. With the technologies available in literature we demonstrate that a UAVbased aerial MEC with the capability to migrate QoSenabling processes from the edge to the core and edge to the edge, to support mobile applications, is feasible.

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“…Mobile Internet traffic is characterised by an increase in number of subscribers (Pande et al, 2013) and an exponential increase in video content (Trestian et al, 2012) through an increase of both user generated content (Trestian et al, 2011) and access to other services, such as video through mobile networks and devices (Lee et al, 2015). Video content is usually heavier than other types of content and consumes more bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…Although capped billing plans are mostly present in mobile networks, broadband network operators also make use of them (Higginbotham, 2013). Capping the amount of data the user can consume is likely to continue even with the deployment of more powerful networks (Pande et al, 2013;Chih-Lin et al, 2014). Investing in new network technology is seen by mobile network operators as a way to impede congestion, and increase the revenues for network operators by removing unprofitable user behaviour (i.e.…”

Section: Introductionmentioning

confidence: 99%

Video quality vs. mobile data billing plans

Molnar

2016

Telematics and Informatics

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Video Delivery Challenges and Opportunities in 4G Networks

Cited by 28 publications

References 10 publications

Intelligent Algorithm for Enhancing MPEG-DASH QoE in eMBMS

Intelligent Algorithm for Enhancing MPEG-DASH QoE in eMBMS

Unmanned Aerial Vehicles (UAVs) as on-demand QoS enabler for Multimedia Applications in Smart Cities

Video quality vs. mobile data billing plans

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