Multimedia data broadcasting strategies

Pekowsky, S.; Andorfer, A.

doi:10.1109/35.917516

Cited by 8 publications

(5 citation statements)

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“…Zeng-Yuan Yang et al [16] presented a broadcasting scheme that shows the relationship between the delay and the minimum bandwidth requirement. Stuart Pekowsky et al [17] presented an overview of multimedia data broadcasting strategies.…”

Section: Related Workmentioning

confidence: 99%

Popularity based bandwidth allocation for video broadcast/multicast over wireless networks

et al. 2011

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Recently, video broadcast/multicast over wireless networks has created a significant interest in the field of wireless communication. However, the wireless resources have limitations to broadcast/multicast many video sessions at the same time with the best quality. Hence, during the video transmission through wireless networks, it is very important to make the best utilization of the limited bandwidth. When the system bandwidth is not sufficient to allocate the demanded bandwidth for all of the active broadcasting/multicasting video sessions, instead of allocating equal bandwidth to each of them, our proposed scheme allocates bandwidth per video session based on popularity of the video program. Using the mathematical and simulation analyses, we show that the proposed scheme maximizes average user satisfaction level. The simulation results also indicate that a large number of subscribers can receive a significantly improved quality of video. To improve the video quality for large number of subscribers, the only tradeoff is that a very few subscribers receive slightly degraded video quality.

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Section: Related Workmentioning

confidence: 99%

Popularity based bandwidth allocation for video broadcast/multicast over wireless networks

et al. 2011

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“…In the rest of this paper, we can study the scaling of group broadcast capacity with the number of antennas for This allows us to get a lower bound on capacity which is obtained using time-sharing C > K max log(l + min h*Bhi) (11) B>O Tr(B)<P K i > log (1 + Pmin (12) l.e.,C > log (1 + P(1 -X)2)…”

Section: Kmnmentioning

confidence: 99%

“…More common is the situation that one group of users would be interested in one stream of data, another group with another stream, and so on. An example where this might occur is digital audio and video broadcast where there is a limited number of shows and users are classified according to the shows they are interested in [10], [1 1], [12]. We will refer to such a scenario as the group-broadcast systems.…”

Section: Introductionmentioning

confidence: 99%

On the Capacity Scalings of the Multiple Antenna Group-Broadcast Systems

Amir

Al-Naffouri

Hassibi

2007

2007 IEEE International Symposium on Information Theory

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Abstract-In this paper, we consider a multi-user system called the group-broadcast system. In this scenario the users are divided into different groups. Users in each group are interested in a common information independent from that of other groups. Such a situation occurs for example in digital audio and video broadcast systems where the users are divided into various groups according to the shows they are interested in. The paper first obtains upper and lower bounds for the sum rate capacity. Then it looks at system capacity for the large number of users regime and fixed number of antennas. Finally, the case when the number of users and antennas grow simultaneously is studied. It is shown that in order to achieve a constant rate per user the number of transmit antennas should scale at least logarithmically in the number of users.

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“…The goal of DVB is to introduce digital television (D-TV) broadcasting using satellite transmission (DVB-S), cable technology (DVB-C), and terrestrial transmission (DVB-T) [1], [2]. DVB will most likely be the successor to the traditional television in many countries [3]. This allows for the broadcasting of multimedia data streams as well as transmission of video streams.…”

Section: Introductionmentioning

confidence: 99%

A Video Streaming File Server Framework for Digital Video Broadcasting Environments

Kim¹,

Lee

2005

IEICE Transactions on Information and Systems

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This letter presents the design and implementation of a video streaming file server system, which has been implemented in the context of a distributed digital multimedia broadcasting environment that has been prototyped. To make a performance analysis of file systems and distributed object services for continuous media (CM) provisioning, we validate the performance of the system against that of a conventional file system, Unix file system, through an experimental evaluation.

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Multimedia data broadcasting strategies

Cited by 8 publications

References 0 publications

Popularity based bandwidth allocation for video broadcast/multicast over wireless networks

Popularity based bandwidth allocation for video broadcast/multicast over wireless networks

On the Capacity Scalings of the Multiple Antenna Group-Broadcast Systems

A Video Streaming File Server Framework for Digital Video Broadcasting Environments

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