Joint Source-Channel Coding and Optimization for Layered Video Broadcasting to Heterogeneous Devices

Ji, Wen; Zhu, Li; Chen, Yiqiang

doi:10.1109/tmm.2011.2177645

Cited by 51 publications

(30 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A recent study [105] considered broadcast receivers with diverse display capabilities and channel conditions. An objective (temporal-spatial rate) distortion metric was used based on Principal Component Analysis distance between frames and optimal layer broadcasting policy was obtained to maximize the broadcasting utility.…”

Section: Eai Endorsed Transactions Onmentioning

confidence: 99%

User-Centric Energy-Efficient Multimedia Multicast/Broadcast Solutions: A Survey

Singhal¹,

De²

2015

ICST Transactions on Ubiquitous Environments

View full text Add to dashboard Cite

Multimedia multicast/broadcast transmissions provide simultaneous access to a common service to the heterogeneous user equipments (UEs) with different device and channel characteristics. One of the major challenges to the service providers is the exponential growth of energy-constrained UEs. In this context, the optimization of multimedia multicast/broadcast transmissions that consider the constraints imposed by the UEs is a major concern of the service providers to ensure high Quality of Experience levels to the customers with diverse constraints. This paper presents an overview of the multimedia multicast/broadcast challenges and open issues, identifies the main factors and the associated constraints that impact the multimedia transmission, and provides a comprehensive classification, comparison, and analysis of the state-of-the-art user-centric, energyefficient multimedia multicast/broadcast approaches.

show abstract

Section: Eai Endorsed Transactions Onmentioning

confidence: 99%

User-Centric Energy-Efficient Multimedia Multicast/Broadcast Solutions: A Survey

Singhal¹,

De²

2015

ICST Transactions on Ubiquitous Environments

View full text Add to dashboard Cite

show abstract

“…Also, the quality of received video and the effect of channel condition were not studied in this work. A recent study [16] considered broadcast receivers with diverse display capabilities and channel conditions. An objective (temporal-spatial rate) distortion metric was used based on Principal Component Analysis distance between frames and optimal layer broadcasting policy was obtained to maximize the broadcasting utility.…”

Section: A Motivation and Related Workmentioning

confidence: 99%

“…Another factor to be considered is the inherent nature of real-time applications based on multimedia, that have strict Quality of Service (QoS) requirement and are most power-hungry. To this end, there have been a few recent studies that address the receiver energy constraints [15], [17] and the display limitations based source and channel rate adaptation [16]. Intuitively, all these are user-end constraints.…”

Section: A Motivation and Related Workmentioning

confidence: 99%

User heterogeneity and priority adaptive multimedia broadcast over wireless

Singhal

Gupta

2014

2014 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

This paper presents an adaptive SVC (scalable video coding) multimedia broadcast framework for the heterogeneous wireless mobile receivers with varying display resolutions, battery constraints, channel conditions, and service subscription priorities. In a bid to achieve optimal performance two variants of optimizations, namely, Subscriber-count Maximizing Adaptive SVC Rate and Energy Saving (SM-ASRES) scheme and Revenue Maximizing ASRES (RM-ASRES) are formulated. In SM-ASRES, the optimization of multimedia encoding parameters is focused toward maximizing the number of served subscribers based only on user capability and channel conditions. On the other hand, RM-ASRES additionally considers subscribers' priority for multimedia broadcast adaptation. Energy saving at the user equipment is a result of time slicing approach at the transmission stage. As compared to the conventional broadcast schemes, the proposed user adaptive framework shows an appreciable improvement in quality of user experience and increased energy saving for hand-held mobile users, along with an increased revenue when employing RM-ASRES.Index Terms-User adaptive multimedia broadcast, scalable video coding, heterogeneous users, energy saving, quality of user experience, revenue maximization, subscription priority.

show abstract

“…They compute the network error parameters after FEC decoding and derive the global set of equations that lead to optimal dynamic rate allocation. In a more recent work [13], Ji et al studied on the optimization approach of JSCC for layered video broadcasting to heterogeneous devices. The objective is to achieve maximum overall receiving quality of the heterogeneous quality of service (QoS) receivers.…”

Section: Joint Source-channel Codingmentioning

confidence: 99%

“…To address the challenging problems, joint sourcechannel coding (JSCC) has proven to be an effective solution in designing error-resilient wireless video transmission systems [12,13]. However, one major problem with the existing JSCC approaches (e.g., [14,15]) is that they consider the network between the server and the client as a single transport link [16].…”

Section: Introductionmentioning

confidence: 99%

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

Shang

Huang

et al. 2013

J Wireless Com Network

View full text Add to dashboard Cite

This paper investigates mobile video delivery in a heterogeneous wireless network from a video server to a multi-homed client. Joint source-channel coding (JSCC) has proven to be an effective solution for video transmission over bandwidth-limited, error-prone wireless networks. However, one major problem with the existing JSCC approaches is that they consider the network between the server and the client as a single transport link. The situation becomes more complicated in the context of multiple available links because involving a low-bandwidth, highly lossy, or long-delay wireless network in the transmission will only degrade the video quality. To address the critical problem, we propose a novel flow rate allocation-based JSCC (FRA-JSCC) approach that includes three key phases: (1) forward error correction redundancy estimation under loss requirement, (2) source rate adaption under delay constraint, and (3) dynamic rate allocation to minimize end-to-end video distortion. We present a mathematical formulation of JSCC to optimize video quality over multiple wireless channels and provide comprehensive analysis for channel distortion. We evaluate the performance of FRA-JSCC through emulations in Exata and compare it with the existing schemes. Experimental results show that FRA-JSCC outperforms the competing models in improving the video peak signal-to-noise ratio as well as in reducing the end-to-end delay.

show abstract

Joint Source-Channel Coding and Optimization for Layered Video Broadcasting to Heterogeneous Devices

Cited by 51 publications

References 58 publications

User-Centric Energy-Efficient Multimedia Multicast/Broadcast Solutions: A Survey

User-Centric Energy-Efficient Multimedia Multicast/Broadcast Solutions: A Survey

User heterogeneity and priority adaptive multimedia broadcast over wireless

Joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

Contact Info

Product

Resources

About