Optimal resource allocation for Medium Grain Scalable video transmission over MIMO channels

Hamidouche, Wassim; Olivier, Christian; Pousset, Yannis; Perrine, Clency

doi:10.1016/j.jvcir.2013.01.002

Cited by 8 publications

(13 citation statements)

References 27 publications

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“…Not specified (subcarrier) OFDM-MIMO (multiuser) [6] × Not specified OFDM-MIMO (multiuser-fairness) [7] 4…”

Section: Video Transmission Techniques In Mimomentioning

confidence: 99%

“…It was believed that maximizing transmission rate (capacity) is equivalent to maximizing the quality (e.g., [4]- [6]). However, the discrepancy between them has been recognized and thus direct measures of video quality have been adopted recently (e.g., minimizing distortions [7], maximizing QoE [8]). In addition, PSNR was frequently used as a measure of video quality, whereas more perceptually meaningful measures such as SSIM began to be used (e.g., [8]).…”

Section: Video Transmission Techniques In Mimomentioning

confidence: 99%

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QoE-Aware Scalable Video Transmission in MIMO Systems

et al. 2017

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Abstract-An important concept in wireless systems has been quality of experience (QoE)-aware video transmission. Such communications are considered not only connection-based communications but also content-aware communications, since the video quality is closely related to the content itself. It becomes necessary therefore for video communications to utilize a cross-layer design (also known as joint source and channel coding). To provide efficient methods of allocating network resources, the wireless network uses its cross-layer knowledge to perform unequal error protection (UEP) solutions. In this article, we summarize the latest video transmission technologies that are based on scalable video coding (SVC) over multiple-input multiple-output (MIMO) systems with cross-layer designs. To provide insight into video transmission in wireless networks, we investigate UEP solutions in the delivering of video over massive MIMO systems. Our results show that in terms of quality of experience (QoE), SVC layer prioritization, which was considered important in the prior work, is not always beneficial in massive MIMO systems; consideration must be given to the content characteristics.

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“…Not specified (subcarrier) OFDM-MIMO (multiuser) [6] × Not specified OFDM-MIMO (multiuser-fairness) [7] 4…”

Section: Video Transmission Techniques In Mimomentioning

confidence: 99%

Section: Video Transmission Techniques In Mimomentioning

confidence: 99%

QoE-Aware Scalable Video Transmission in MIMO Systems

et al. 2017

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“…Equation (5) shows that the compute of the precoding coefficient is proportional to the parameter transmission values ( 1 σj 2 , m and r). Accordingly, the research of combining variables can be stopped, when the power constraint is not more available.…”

Section: Proceedings Of the 2014 Ieee Iccsmentioning

confidence: 99%

“…This scheme provides better performances compared to the recent precoder solutions [4]. Subsequently, [5] suggested another optimal power allocation solution for adaptive H.264/SVC video transmission over MIMO channel. In this work, the distortion of the video is minimized by an optimization problem containing both variables : the continuous and the discrete variable.…”

Section: Introductionmentioning

confidence: 99%

“…Our objective in this work is to develop a less complex method which could compute the optimal system variables minimizing the ratedistortion criteria. What differentiate our contribution from [5] is the non-use of Kuhn and Tucker programming to find out the optimal precoding coefficients. The idea is to adaptively control the following variables which are the Error Code Correcter (ECC) capacity, the modulation orders and the MIMO power allocation in order to minimize the total distortion of the receive video.…”

Section: Introductionmentioning

confidence: 99%

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Low-complexity and optimal resource allocation scheme for scalable video transmission over realistic noisy MIMO channels

Kambou¹,

Perrine²,

Pousset³

et al. 2014

2014 IEEE International Conference on Communication Systems

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International audienceWe investigate a joint source-channel coding solution for H.264/SVC video transmission over noisy MIMO channels. To exploit the channel diversity, we use a closed-loop MIMO scheme, which allows the decomposition of the MIMO channel into several hierarchical SISO subchannels. The scalable video bit stream is divided into hierarchical quality layers (base layer and enhancement layers) which are passing through the SISO subchannels. For each subchannel, an adaptive modulation, an unequal error protection and an unequal power allocation are provided according to the channel state information. The contribution of our work is to provide an optimal and low-complexity method that jointly parameterizes the system elements connected to the video contents and the physical layer. The performance of our proposal is evaluated over a realistic noisy MIMO channel. The results disclose that the proposed solution optimizes the complexity and performs an optimal resource allocation to achieve the best QoS in term of PSNR regardless of the severity of channel conditions

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