scholarly journals Optimal Resource Allocation and VCG Auction-Based Pricing for H.264 Scalable Video Quality Maximization in 4G Wireless Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Shreyans Parakh ◽  
Aditya K. Jagannatham
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Closed Form Solution ◽  
Wireless Systems ◽  
Superior Performance ◽  
Adaptive Modulation And Coding ◽  
Scalable Video ◽  
Time Frequency ◽  
4G Wireless ◽  
Vcg Auction

We present novel schemes for optimal OFDMA bitrate allocation towards video quality maximization in H.264 scalable video coding (SVC)-based 4G wireless systems. We use the rate and quality models for video characterization of the SVC extension of the H.264/AVC and develop the framework for optimal scalable video transmission. Subsequently, we derive the closed form solution of the optimal H.264 scalable video quantization parameter for sum video quality maximization in unicast and multicast 4G WiMAX adaptive modulation and coding (AMC) scenarios. We also formulate a Vickrey-Clarke-Groves (VCG) auction-based time-frequency (TF) resource pricing scheme for dynamic bitrate allocation and simultaneous prevention of video quality degradation by malicious users for H.264-based scalable video transmission. Simulation results demonstrate that application of the proposed optimal 4G OFDMA schemes for unicast/multicast video quality maximization yield significantly superior performance in comparison to fixed rate video agnostic allocation.

scholarly journals Integer-Linear-Programing Optimization in Scalable Video Multicast with Adaptive Modulation and Coding in Wireless Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Dongyul Lee ◽  
Chaewoo Lee
Keyword(s):  
Resource Allocation ◽  
Video Streaming ◽  
Adaptive Modulation ◽  
Scalable Video Coding ◽  
Video Quality ◽  
System Throughput ◽  
Adaptive Modulation And Coding ◽  
Scalable Video ◽  
Wireless Multimedia ◽  
Channel Conditions

The advancement in wideband wireless network supports real time services such as IPTV and live video streaming. However, because of the sharing nature of the wireless medium, efficient resource allocation has been studied to achieve a high level of acceptability and proliferation of wireless multimedia. Scalable video coding (SVC) with adaptive modulation and coding (AMC) provides an excellent solution for wireless video streaming. By assigning different modulation and coding schemes (MCSs) to video layers, SVC can provide good video quality to users in good channel conditions and also basic video quality to users in bad channel conditions. For optimal resource allocation, a key issue in applying SVC in the wireless multicast service is how to assign MCSs and the time resources to each SVC layer in the heterogeneous channel condition. We formulate this problem with integer linear programming (ILP) and provide numerical results to show the performance under 802.16 m environment. The result shows that our methodology enhances the overall system throughput compared to an existing algorithm.

Robust Video Transmission for H.264 Scalable Video Coding System over Error-Prone Networks

2011 ◽  
Vol 58-60 ◽  
pp. 1554-1559
Author(s):  
Chou Chen Wang ◽  
Wei Han Chen ◽  
Yan Lin Lu ◽  
Jia Wei Wu
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Unequal Error Protection ◽  
Scalable Video ◽  
Coding System ◽  
Error Protection ◽  
Transmission Scheme ◽  
Rs Code

In this paper, we develop a novel robust scheme of two-dimensional unequal error protection (2-D UEP) for the H.264 scalable video coding (SVC) with a combined temporal and quality (SNR) scalability over packet-erasure channel. To avoid the waste of bits and obtain the best rate allocation, we propose a threshold-based UEP (TH-UEP) scheme. The proposed TH-UEP designs a predefined threshold according to the length of packet and the error correcting ability of RS code to achieve the best allocation. In addition, the proposed scheme also derives a simple mathematical model to reduce computational load of the best allocation. Experimental results demonstrate that the proposed H.264 video transmission scheme can provide strong robustness and video quality improvement when compared to other 2-D UEP schemes.

Online Measurement-Based Adaptive Scalable Video Transmission in Energy Harvesting Aided Wireless Systems

2017 ◽  
Vol 66 (7) ◽  
pp. 6231-6245 ◽  
Author(s):  
Jian Yang ◽  
Weizhe Cai ◽  
Yongyi Ran ◽  
Hongsheng Xi ◽  
Lajos Hanzo
Keyword(s):  
Energy Harvesting ◽  
Video Transmission ◽  
Wireless Systems ◽  
Scalable Video ◽  
Online Measurement

scholarly journals QoS Assured Multi-rate H.264 Scalable Video Multi-cast with Network Coding in Lossy Networks

1970 ◽  
Vol 7 (1) ◽  
pp. 15-20
Author(s):  
Wuttipong Kumwilaisak ◽  
Saran Tarnoi
Keyword(s):  
Network Coding ◽  
Video Transmission ◽  
Video Quality ◽  
Theoretical Data ◽  
Scalable Video ◽  
Lossy Networks ◽  
Qos Guarantee ◽  
Data Rates ◽  
End To End ◽  
Scalable Video Multicast

This paper proposes a new multi-rate H.264 scalable video multicast in lossy network using network coding. We first prioritize video layer based on its effect to the end-to-end video quality. Each video layer is routed via the path obtained from the optimization framework under the constraints on quality of service (QoS) guarantees. The data transmissions of lower layers, which are more important for decoding process in video reproduction, are assigned to more reliable paths with QoS guarantee to further improve user’s experience. Different destinations may receive different numbers of video layers depending on their network resources. The bottleneck in the network is resolved by using network coding technique to ensure that all destinations can receive the data rates equaling their theoretical data rates, i.e., max flows. The network coding is only applied within the same layer to ensure its QoS guarantee. Simulation and numerical results under randomly generated networks show the advantage of the proposed scheme in terms of objective and subject qualities of the end-to-end video transmission.

scholarly journals Optimal H.264 Scalable Video Scheduling Policies for 3G/4G Wireless Cellular and Video Sensor Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Vamseedhar R. Reddyvari ◽  
Aditya K. Jagannatham
Keyword(s):  
Wireless Networks ◽  
Sensor Networks ◽  
Video Quality ◽  
Scalable Video ◽  
End User ◽  
Scheduling Policies ◽  
4G Wireless ◽  
Video Sensor Networks ◽  
Video Sensor

We consider the problem of optimal H.264 scalable video scheduling, with an objective of maximizing the end-user video quality while ensuring fairness in 3G/4G broadband wireless networks and video sensor networks. We propose a novel framework to characterize the video quality-based utility of the H.264 temporal and quality scalable video layers. Subsequently, we formulate the scalable video scheduling framework as a Markov decision process (MDP) for long-term average video utility maximization and derive the optimal index based-scalable video scheduling policies ISVP and ISVPF towards video quality maximization. Further, we extend this framework to multiuser and multisubchannel scenario of 4G wireless networks. In this context, we propose two novel schemes for long-term streaming video quality performance optimization based on maximum weight bipartite and greedy matching paradigms. Simulation results demonstrate that the proposed algorithms achieve superior end-user video experience compared to competing scheduling policies such as Proportional Fairness (PF), Linear Index Policy (LIP), Rate Starvation Age policy (RSA), and Quality Proportional Fair Policy (QPF).

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