Multi-source mobile video streaming with proactive caching and D2D communication

Siris, Vasilios A.; Dimopoulos, Dimitrios

doi:10.1109/wowmom.2015.7158219

Cited by 17 publications

(5 citation statements)

References 22 publications

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“…Small cells will probably have an important role in the support of video streaming [91]. Recently, many operators have considered small cell deployment, including microcells, picocells and femtocells in indoor/outdoor regions, residential districts, and hotspot areas.…”

Section: ) Femtocachingmentioning

confidence: 99%

Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey

et al. 2019

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The proliferation of the mobile Internet and connected devices, which offer a variety of services at different levels of performance is a major challenge for the fifth generation of wireless networks and beyond. Innovative solutions are needed to leverage recent advances in machine storage/memory, context awareness, and edge computing. Cache-enabled networks and techniques such as edge caching are envisioned to reduce content delivery times and traffic congestion in wireless networks. Only a few contents are popular, accounting for the majority of viewers, so caching them reduces the latency and download time. However, given the dynamic nature of user behavior, the integration of popularity prediction into caching is of paramount importance to better network utilization and user satisfaction. In this paper, we first present an overview of caching in wireless networks and then provide a detailed comparison of traditional and popularity-based caching. We discuss the attributes of videos and the evaluation criteria of caching policies. We summarize some of the recent work on proactive caching, focusing on prediction strategies. Finally, we provide insight into the potential opportunities and challenges as well as some open research problems enable the realization of efficient deployment of popularity-based caching as part of the next-generation mobile networks. INDEX TERMS 5G, cache-enabled networking, popularity prediction, proactive caching, videos popularity.

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Section: ) Femtocachingmentioning

confidence: 99%

Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey

et al. 2019

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“…Research has also been conducted on utilizing D2D communication to provide P2P video streaming in cellular networks. In (Siris and Dimopoulos 2015), multi-source video streaming was proposed. In this system users can connect through WiFi direct to exchange video contents.…”

Section: Technical Backgroundmentioning

confidence: 99%

Dash-Based Device-to-Device Video Streaming for Cellular Networks with High User Density

Al-Habashna

Wainer

2018

2018 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)

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Supporting video streaming services and providing high Quality of Experience (QoE) to end users have become main concerns for cellular network operators. In this work, we present an architecture for improving the QoE of video streaming in cellular networks with high user density. The architecture employs progressive caching of video contents, Dynamic Adaptive Streaming over HTTP (DASH), and Device-to-Device (D2D) communication. The Base-Station (BS) controls the progressive caching process of video contents and the Peer-to-Peer (P2P) transmission of video segments among User Equipments (UEs). We present two different implementations of the architecture. The implementations differ in the employed approach for video contents caching and distribution over the UEs. We use the Discrete EVent System Specification (DEVS) formalism to build a model for the proposed architecture in an LTE-A network and use the model to study the performance achieved by the proposed architecture in terms of many video streaming QoE metrics.As video streaming is becoming the most popular application over cellular networks, providing reliable video streaming service is a key to differentiated competitiveness. As such, it is important to evaluate the quality of the video streaming service as perceived by the end user. Hence, quality measure has shifted from Quality of Service (QoS) to QoE. There are many factors that are used to measure video streaming QoE. The number of video rebufferings is an important factor. Increasing the number of rebufferings significantly reduces video streaming QoE, and hence, it should be avoided as much as possible. Initial delay is another factor that also reduces video streaming QoE. Video bit rate is a measurement of the amount of data in one second of the video. As the video bit rate increases, the video quality increases, which increases the QoE. Related workD2D communication allows two UEs that are within proximity of each other to communicate without routing the traffic through the BS and the network infrastructure. This direct communication between UEs can be utilized to improve the capacity of cellular networks and improve the achieved data rates. D2D communication can also be utilized to extend the cell coverage and improve the service for users at the celledge. As such, D2D communication is one of the main technologies in the Fifth Generation (5G) cellular networks (Agiwal, Roy, and Saxena 2016). Much research has been conducted in recent years on D2D communication and developing applications for it in cellular networks (Asadi, Wang, and Mancuso 2014).

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“…Projects related include I-CAN, UMOBILE, RIFE, and, GreenICN etc. [8,11,12,50]. Figure 4 presents the typical caching framework based on hybrid networks, in which caches are placed in MBSs, SBSs, APs and user devices in radio access networks.…”

Section: Caching Framework Based On Hybrid Networkmentioning

confidence: 99%

Information-centric mobile caching network frameworks and caching optimization: a survey

Jin

Zhao

et al. 2017

J Wireless Com Network

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The demand for content oriented service and compute-intensive service stimulates the shift of current cellular networks to deal with the explosive growth in mobile traffic. Information centric mobile caching network architectures have emerged in Information-Centric Networking as well as mobile cellular and ad-hoc networks deployed with caches. Caching optimization based on information centric mobile caching has become the key issue, and several significant research challenges remain to be addressed before its widespread adoption. In this paper, a brief survey on Information centric mobile caching network architecture and caching optimization is presented, including cache placement in different mobile wireless network architectures, the taxonomy of cache insertion and eviction policies, the modeling behavior of caching networks as well as caching optimization based on network centric and user centric metrics, and typical applications based on mobile caching. Finally, the research directions and open challenges are investigated.

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Multi-source mobile video streaming with proactive caching and D2D communication

Cited by 17 publications

References 22 publications

Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey

Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey

Dash-Based Device-to-Device Video Streaming for Cellular Networks with High User Density

Information-centric mobile caching network frameworks and caching optimization: a survey

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