Synchronized multimedia streaming on the iPhone platform with network coding

Vingelmann,; Fitzek,; Pedersen,; Heide,; Charaf, Hassan

doi:10.1109/ccnc.2011.5766632

Cited by 31 publications

(23 citation statements)

References 9 publications

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“…However, for short block lengths that we focus on, the asymptotic behavior does not say much about the decoding complexity. In several recent papers, the decoding complexity and possibilities of practical implementation of RLC is investigated [8], [9], [32], [34]. In [32], the study focused on streaming server solutions, and using optimized algorithms and GPU it is demonstrated that RLC with 128 blocks and large symbol sizes can achieve encoding rates up to 294 Mbps and decoding rates up to 254 Mbps.…”

Section: Simulated Eep Performance Of Raptor and Rlc Codesmentioning

confidence: 99%

“…The major limitation of the application of RLC is the decoding complexity of GE decoding, which is polynomial in the number of symbols. However, for short lengths of the source messages (in the order of up to 256 symbols) and small GF, the decoding complexity is acceptable (see [8], [9], [12] and references therein). Moreover, as shown later in the paper, there is no performance penalty for using short-length codes as compared to standard rateless codes.…”

Section: Raptor Codes and Rlcmentioning

confidence: 99%

“…RLC show near-optimal performance even for very low codeword lengths, but suffer from high decoding complexity of the Gaussian Elimination (GE) decoder as the codeword length increases. However, for real-time video transmission, RLC is usually applied over short chunks of video data (called generations) thus working in the domain of practically implementable codeword lengths [8], [9]. In addition, as multihop and cooperative communications are becoming increasingly popular in emerging wireless network architectures, introduction of RLC may serve as a step forward towards exploring the benefits of network coding [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unequal error protection for data partitioned H.264/AVC video broadcasting

Nazir

Vukobratović

Stanković

et al. 2014

Multimed Tools Appl

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Application Layer Forward Error Correction (AL-FEC) is becoming a popular addition to protocols for real-time video delivery over IP-based wireless networks. In particular, rateless codes are identified as suitable solution for AL-FEC due to their flexibility and capacity-approaching performance. Since each part of video data is not equally important for video reconstruction, it is beneficial to group it based on its importance, and then provide different degree of protection using Unequal Error Protection (UEP). Data partitioning (DP) is one such low-cost feature in H.264/AVC enabling partitioning of video data based on its importance. We propose schemes for the DP H.264/AVC video transmission using Raptor and Random Linear Codes (RLC) and investigate their performance as AL-FEC solutions in Digital Video Broadcasting. We provide comparisons between optimized Non-Overlapping Window RLC and Expanding Window (EW) RLC, which are two effective UEP RLC strategies. The results using realistic channel traces show viability of the EW RLC as a promising solution for multimedia broadcast applications.

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Section: Simulated Eep Performance Of Raptor and Rlc Codesmentioning

confidence: 99%

Section: Raptor Codes and Rlcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unequal error protection for data partitioned H.264/AVC video broadcasting

Nazir

Vukobratović

Stanković

et al. 2014

Multimed Tools Appl

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“…The RLC encoding can be repeated at the transmitter in a rateless fashion, until the receiver collects enough encoded packets to decode the source message using the Gaussian elimination (GE) decoding. GE decoding introduces complexity limitations on the message length K. However, for real-time interactive multimedia applications, small values of K are acceptable for practical deployment [24,25].…”

Section: Vukobratović and Stanković Eurasip Journal On Wireless Commumentioning

confidence: 99%

Multi-user video streaming using unequal error protection network coding in wireless networks

Vukobratović

Stanković

2012

J Wireless Com Network

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In this article, we investigate a multi-user video streaming system applying unequal error protection (UEP) network coding (NC) for simultaneous real-time exchange of scalable video streams among multiple users. We focus on a simple wireless scenario where users exchange encoded data packets over a common central network node (e.g., a base station or an access point) that aims to capture the fundamental system behaviour. Our goal is to present analytical tools that provide both the decoding probability analysis and the expected delay guarantees for different importance layers of scalable video streams. Using the proposed tools, we offer a simple framework for design and analysis of UEP NC based multi-user video streaming systems and provide examples of system design for video conferencing scenario in broadband wireless cellular networks.

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“…Furthermore, network coding is utilized as an effective mechanism to recover losses and errors with minimum communication overhead in wireless networks [18]. Towards multimedia streaming, Vingelmann et al applied NC to stream video content among a group of iPhone devices [19].…”

Section: Related Workmentioning

confidence: 99%

Optimal rate allocation and scheduling in cooperative streaming

Zakerinasab

Wang

2014

39th Annual IEEE Conference on Local Computer Networks

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Abstract-The demand for multimedia streaming, especially from mobile devices, is growing rapidly, mostly due to the increasing deployment of broadband cellular technologies and the growing computing power on modern mobile devices. While cellular carriers strive to meet the demand, mobile devices are challenged by the variable transmission rate in wireless channels and limited battery capacity. To this end, we propose an energyefficient cooperative streaming system. In the proposed system, mobile devices collectively stream a copy of the multimedia content from the source over cellular links. The devices form a cooperative group and share received content with each other over short-range links. The design of the system is guided by the optimal rate allocation and scheduling (RAS) algorithm that determines the amount of data and the data to be transmitted on each link. The actual data scheduled to be transmitted on each link is delivered in coded form for efficient loss detection and recovery. Overall, the system minimizes both the streaming traffic in the cellular network and the energy consumed by streaming applications on mobile devices. Our experimental results show that significant energy saving is achieved in the proposed system. Moreover, our RAS algorithm prolongs the streaming session for the entire cooperative group. I. INTRODUCTIONThe demand for high quality video streaming on mobile devices grows along with the deployment of 3G/4G technologies and the increasing computing power on mobile devices. Currently, video streaming traffic accounts for more than 53% of the cellular Internet traffic, and is expected to reach 66% in the next four years [1]. While cellular carriers strive to meet the expected growth, mobile devices are also challenged by the variable transmission rate in wireless channels and limited battery capacity. Reducing the loss rate and bandwidth fluctuation is a straightforward, but not easy, way to improve cellular networks for multimedia streaming. The alternative approach is to encourage cooperation among mobile devices by utilizing short-range links such as WiFi and Bluetooth [2]. The use of short-range links in addition to cellular links not only alleviates the workload in cellular networks, but also increases the overall link capacity around individual mobile devices.The cooperative system is formed by groups of mobile devices that are within the same WiFi network and are interested in viewing the same video at the same time. As shown in Fig. 1, there are groups of mobile devices, where within each group the mobile devices communicate over short-range (WiFi, in this case) links and form a swarming session to exchange multimedia content received from the cellular network [2]. In this cooperative streaming system, mobile devices of the same group contact the source regarding the video of their interest. The video source prepares and serves the multimedia content over cellular links. Upon receiving the multimedia content, a mobile device broadcasts the content in the local shortrange n...

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Synchronized multimedia streaming on the iPhone platform with network coding

Cited by 31 publications

References 9 publications

Unequal error protection for data partitioned H.264/AVC video broadcasting

Unequal error protection for data partitioned H.264/AVC video broadcasting

Multi-user video streaming using unequal error protection network coding in wireless networks

Optimal rate allocation and scheduling in cooperative streaming

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