Mobile CDN enhancements for QoE-improved content delivery in mobile operator networks

Yousaf, Faqir Zarrar; Liebsch, Marco; Maeder, Andreas; Schmid, Stefan

doi:10.1109/mnet.2013.6485091

Cited by 31 publications

(33 citation statements)

References 10 publications

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“…Last but not least, NDN architecture and offloading mobile network traffic by in-network caching were discussed in previous works of [2,15]. Different from them, in this paper, the NDN and LTE are newly designed in OPNET, and real trace Internet traffic is utilized in the simulation.…”

Section: Related Workmentioning

confidence: 99%

“…While the requirements of rich multimedia contents using smart phones and tablets continue increasing over time [1], the current capacity mobile backhaul networks as well as the bandwidth of Internet have a lot of challenges to cope with the practical growing traffic due to the centralized architecture [2]. Related with the exponent growth of mobile traffic, a skewness of popularity content characteristic was found.…”

Section: Introductionmentioning

confidence: 99%

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Offloading Lte Data Traffic With Named-Data Networking Integration

Dũng¹

2018

JST

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Nowadays, mobile Internet becomes increasingly popular and the number of mobile users is growing exponentially. With a traditional clients-server connection, servers are usually in overload state by a huge number of users accessing the service at the same time. Moreover, in a century of "green" Internet technology, it should be more effective in content distribution for a huge number of users. Named-Data Networking (NDN) had been proposed as the promising solution for above problem, which is a content name-oriented approach to disseminate content to edge gateways/routers. In NDN, popular contents are cached at routers for a certain time, and the previously queried one can be reused for multiple times to save bandwidth. In this paper, we propose a solution for Long Term Evolution (LTE) mobile network based on the concept of NDN. By OPNET Modeler simulation, we carry out the evaluation in realistic mobile network with a huge number of mobility LTE mobile stations access to a single server, where content names and content sizes are obtained from real trace of Internet traffic. The obtained results show that Evolved Packet Core (EPC) caching scheme can helps to further increases the quality of service as well as offloads server traffic significantly.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Offloading Lte Data Traffic With Named-Data Networking Integration

Dũng¹

2018

JST

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“…An improved QoE through application-level scheduling in mobile content distribution network (CDN) was proposed in [13,35]. The scheduling algorithm leverages the information from the locally available transport and application layer, such as TCP session statistics and content encoding rates, and the information from the mobile infrastructure components, such as congestion levels or subscriber information, to provide a fair distribution of bandwidth among mobile users.…”

Section: Playback Smoothness As Quality Metricmentioning

confidence: 99%

“…For instance, new streaming protocols [7], streaming proxy [8], and cache management [9] have been proposed to improve the streaming bitrate. Cross-layer optimization [10], rate adaptation algorithms [11], buffer management [12], and scheduling algorithms [13,14] have been suggested to improve the smoothness of playbacks. In terms of video quality perceived by end users, on one hand, researchers and developers are investigating into enhancing common objective quality metrics [e.g., PSNR, Structural Similarity Metric (SSIM), and Video Quality Metric (VQM)] [15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

QoE in video streaming over wireless networks: perspectives and research challenges

Bai

et al. 2015

Wireless Netw

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The deployment of 3G/LTE networks and advancements in smart mobile devices had led to high demand for multimedia streaming over wireless network. The rapid increasing demand for multimedia content poses challenges for all parties in a multimedia streaming system, namely, content providers, wireless network service providers, and smart device makers. Content providers and mobile network service providers are both striving to improve their streaming services while utilizing advancing technologies. Smart device makers endeavor to improve processing power and displays for better viewing experience. Ultimately, the common goal shared by content providers, network service providers, and smart device manufactures is to improve the QoE for users. QoE is both an objective and a subjective metric measuring the streaming quality experience by end users. It may be measured by streaming bitrate, playback smoothness, video quality metrics like Peak to Signal Noise Ratio, and other user satisfaction factors. There have been efforts made to improve the streaming experiences in all these aspects. In this paper, we conducted a survey on existing literatures on QoE of video streaming to gain a deeper and more complete understanding of QoE quality metrics. The goal is to inspire new research directions in defining better QoE and improving QoE in existing and new streaming services such as adaptive streaming and 3D video streaming.

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“…Having described various deployments of CDN for mobile networks, studies in Reference [25] show that there is a significant benefit in bringing the content inside the mobile networks. The improvement is achieved by combining information including user preference, device preference, location, and flow information as part of mobile CDN delivery.…”

Section: Mobile Cdn Use Case Deploymentmentioning

confidence: 99%