Analog Coded SoftCast: A Network Slice Design for Multimedia Broadcast/Multicast

Tan, Bin; Wu, Jun; Liu, Ying; Cui, Hao; Yu, Wei; Chen, Chang Wen

doi:10.1109/tmm.2017.2733303

Cited by 26 publications

(12 citation statements)

References 34 publications

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“…[25] replaced the power allocation scheme in SoftCast with bit allocations, while Ref. [26], [27] combined the benefit of SoftCast and conventional digital video coding by considering an analog-digital hybrid coding scheme. In [28], the authors proposed an optimal channel and power allocation scheme under fast fading channels.…”

Section: B Soft Video Transmissionmentioning

confidence: 99%

Joint Power and Channel Resource Optimization in Soft Multi-View Video Delivery

Zhang

Mao

2019

IEEE Access

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Existing wireless multi-view video (MVV) transmission schemes use digital compression to achieve a better coding efficiency. However, the digital schemes suffer from the cliff effect, which refers to the phenomenon that the video quality is a step function of wireless channel quality. In this paper, we first consider a soft MVV transmission scheme where the correlations between the interview data and texturedepth data are exploited by a 5-dimensional discrete cosine transform (5D-DCT). The linearly transformed 5D-DCT signals are modulated in an analog manner so that the video quality gracefully improves when the channel quality becomes better. The cumbersome bit and rate controls in digital solutions are replaced by simple power controls. Second, as with the increase of the number of cameras and data depths, the data size of MVV increases linearly. To reduce the heavy data traffic in soft MVV transmission, we proposed efficient resource (bandwidth and power) allocation algorithms. Simulations results demonstrate that the proposed distortion-resource (DR) optimization algorithm can ensure a best viewing quality under a resource constraint and the proposed resource-distortion (RD) optimization algorithm can minimize the resource usage for a target video quality requirement. Third, the impact of power control across texture and depth frame and the impact of view positions on synthesized virtual view quality are investigated. The efficacy of the proposed algorithm on both the reference viewpoint as well as the virtual viewpoint is verified via simulations. INDEX TERMS Soft video delivery, SoftCast, multi-view video, resource allocation.

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Section: B Soft Video Transmissionmentioning

confidence: 99%

Joint Power and Channel Resource Optimization in Soft Multi-View Video Delivery

Zhang

Mao

2019

IEEE Access

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“…The authors propose 5G based on network slicing with the coexistence of dedicated as well as shared slices in the network. Bin et al [19] present a network slice design for the multicast/broadcast of ultra high definition (UHD) video to achieve higher network efficiency and improved QoE. Nakao et al [20], Taleb et al [21], and Zhang et al [22] improve the flexibility of network resource allocation and the capacity of 5G networks based on network slicing and discuss the potential of network slicing to provide the appropriate customization and highlight the relevant technology challenges.…”

Section: Related Workmentioning

confidence: 99%

Optimal VNFs Placement in CDN Slicing Over Multi-Cloud Environment

Benkacem

Taleb

Bagaa

et al. 2018

IEEE J. Select. Areas Commun.

104

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This paper introduces a content delivery network as a service (CDNaaS) platform that allows dynamic deployment and life-cycle management of virtual content delivery network (CDN) slices running across multiple administrative cloud domains. The CDN slice consists of four virtual network function (VNF) types, namely virtual transcoders, virtual streamers, virtual caches, and a CDN-slice-specific Coordinator for the management of the slice resources across the involved cloud domains. To create an efficient CDN slice, the optimal placement of its composing VNFs using adequate amount of virtual resources for each VNF is of vital importance. In this vein, this paper devises mechanisms for allocating an appropriate set of VNFs for each CDN slice to meet its performance requirements and minimize as much as possible the incurred cost in terms of allocated virtual resources. A mathematical model is developed to evaluate the performance of the proposed mechanisms. We first formulate the VNF placement problem as two Linear Integer problem models, aiming at minimizing the cost and maximizing the quality of experience (QoE) of the virtual streaming service. By applying the bargaining game theory, we ensure an optimal tradeoff solution between the cost efficiency and QoE. Extensive simulations are conducted to evaluate the effectiveness of the proposed models in achieving their design objectives and encouraging results are obtained.

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“…Furthermore, the SoftCast based scheme also has been employed into satellite remote-sensing image transmission [38] and cloud image/video transmission over wireless channels [39]. A novel network slice design is proposed in [40], which consists of a rateless source compression scheme and an analog-coded SoftCast scheme. Cost-distortion optimization and resource control is conducted to use resources more efficiently for SoftCast [41].…”

Section: Softcast-like Uncoded and Hybrid Visual Transmissionmentioning

confidence: 99%

Block DCT Based Optimization for Wireless SoftCast of Depth Map

et al. 2019

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With the recent emergence of naked-eye 3D mobile devices, the 3D video-based applications on the mobile terminal are showing great potential. However, the conventional transmission scheme based on separate source coding and channel coding may fail in the broadcast and mobile scenarios due to the drastic changes in wireless channel condition. Recently, an uncoded transmission scheme called SoftCast was introduced, which shows efficient performance for wireless 2D video transmission. However, it may not work well for 3D video wireless transmission, especially for the depth maps. Based on the piecewise smoothness of depth maps, we propose an uncoded wireless depth map transmission scheme, which incorporates three customized components of optimization into the SoftCast framework. First, compared with the framelevel discrete cosine transform (DCT) used in 2D video SoftCast, the mean removed block-based DCT is preferred as the decorrelation transform for depth maps to accommodate its piecewise smooth property, which also facilitates the following subsequent optimization. Second, view synthesis distortion-based chunk dropping is utilized for more efficient power allocation in the case of limited bandwidth, where the block DCT provides a better estimation for synthesis distortion. Third, inter-block DCT coefficients are rearranged to form chunks in terms of minimizing the intra-chunk variance, further enhancing the chunk-level power allocation efficiency. The experimental results demonstrate that the proposed scheme can provide superior performance than the state-of-the-art SoftCast methods while achieving graceful synthesis quality transition within a wide channel signal-to-noise ratio range.

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Analog Coded SoftCast: A Network Slice Design for Multimedia Broadcast/Multicast

Cited by 26 publications

References 34 publications

Joint Power and Channel Resource Optimization in Soft Multi-View Video Delivery

Joint Power and Channel Resource Optimization in Soft Multi-View Video Delivery

Optimal VNFs Placement in CDN Slicing Over Multi-Cloud Environment

Block DCT Based Optimization for Wireless SoftCast of Depth Map

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