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Shihi Chen - One of the best experts on this subject based on the ideXlab platform.

  • a near optimal qoe driven Power Allocation Scheme for scalable video transmissions over mimo systems
    IEEE Journal of Selected Topics in Signal Processing, 2015
    Co-Authors: Xiang Chen, Chung Nan Lee, Jenq-neng Hwang, Shihi Chen
    Abstract:

    The rapid increasing demands of wireless multimedia applications have boosted the developments of video delivery technologies with cross-layer designs, driven by optimizing quality of experiences (QoEs) of end users. In this paper, a near optimal Power Allocation Scheme, targeting at maximizing QoE, is proposed for transmitting scalable video coding (SVC) based videos over multi-input multi-output (MIMO) systems. Both transmission errors in the physical (PHY) layer and video source coding characteristics in the application (APP) layer are jointly considered in the proposed Scheme. A near optimal solution is achieved by decomposing the original optimization problem into several convex optimization sub-problems. Detailed algorithms with corresponding theoretical reasoning are provided. Since forward error corrections (FEC) techniques are widely implemented in modern wireless communication systems, the proposed Scheme is further extended to the systems with Reed–Solomon (RS) code and a more practical approach with different modulation and coding Schemes (MCSs). The near optimality of our proposed Scheme, in terms of measured utilities, is shown by comparing with the exhaustive searched optimal solutions. Simulations with real H.264 SVC video traces demonstrate the effectiveness of our proposed Scheme by comparing with other existing Schemes in terms of well-accepted video quality assessment methods, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) index.

Xiang Chen - One of the best experts on this subject based on the ideXlab platform.

  • a near optimal qoe driven Power Allocation Scheme for scalable video transmissions over mimo systems
    IEEE Journal of Selected Topics in Signal Processing, 2015
    Co-Authors: Xiang Chen, Chung Nan Lee, Jenq-neng Hwang, Shihi Chen
    Abstract:

    The rapid increasing demands of wireless multimedia applications have boosted the developments of video delivery technologies with cross-layer designs, driven by optimizing quality of experiences (QoEs) of end users. In this paper, a near optimal Power Allocation Scheme, targeting at maximizing QoE, is proposed for transmitting scalable video coding (SVC) based videos over multi-input multi-output (MIMO) systems. Both transmission errors in the physical (PHY) layer and video source coding characteristics in the application (APP) layer are jointly considered in the proposed Scheme. A near optimal solution is achieved by decomposing the original optimization problem into several convex optimization sub-problems. Detailed algorithms with corresponding theoretical reasoning are provided. Since forward error corrections (FEC) techniques are widely implemented in modern wireless communication systems, the proposed Scheme is further extended to the systems with Reed–Solomon (RS) code and a more practical approach with different modulation and coding Schemes (MCSs). The near optimality of our proposed Scheme, in terms of measured utilities, is shown by comparing with the exhaustive searched optimal solutions. Simulations with real H.264 SVC video traces demonstrate the effectiveness of our proposed Scheme by comparing with other existing Schemes in terms of well-accepted video quality assessment methods, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) index.

  • A near optimal QoE-driven Power Allocation Scheme for SVC-based video transmissions over MIMO systems
    2014 IEEE International Conference on Communications ICC 2014, 2014
    Co-Authors: Xiang Chen, Chiung-ying Wang, Jenq-neng Hwang, Chung Nan Lee
    Abstract:

    In this paper, we propose a near optimal Power Allocation Scheme, which maximizes the quality of experience (QoE), for scalable video coding (SVC) based video transmissions over multi-input multi-output (MIMO) systems. This Scheme tries to optimize the received video quality according to video frame-error-rate (FER), which may be caused by either transmission errors in physical (PHY) layer or video coding structures in application (APP) layer. Due to the complexity of the original optimization problem, we decompose it into several sub-problems, which can then be solved by classic convex optimization methods. Detailed algorithms with corresponding theoretical derivations are provided. Simulations with real video traces demonstrate the effectiveness of our proposed Scheme.

Chung Nan Lee - One of the best experts on this subject based on the ideXlab platform.

  • a near optimal qoe driven Power Allocation Scheme for scalable video transmissions over mimo systems
    IEEE Journal of Selected Topics in Signal Processing, 2015
    Co-Authors: Xiang Chen, Chung Nan Lee, Jenq-neng Hwang, Shihi Chen
    Abstract:

    The rapid increasing demands of wireless multimedia applications have boosted the developments of video delivery technologies with cross-layer designs, driven by optimizing quality of experiences (QoEs) of end users. In this paper, a near optimal Power Allocation Scheme, targeting at maximizing QoE, is proposed for transmitting scalable video coding (SVC) based videos over multi-input multi-output (MIMO) systems. Both transmission errors in the physical (PHY) layer and video source coding characteristics in the application (APP) layer are jointly considered in the proposed Scheme. A near optimal solution is achieved by decomposing the original optimization problem into several convex optimization sub-problems. Detailed algorithms with corresponding theoretical reasoning are provided. Since forward error corrections (FEC) techniques are widely implemented in modern wireless communication systems, the proposed Scheme is further extended to the systems with Reed–Solomon (RS) code and a more practical approach with different modulation and coding Schemes (MCSs). The near optimality of our proposed Scheme, in terms of measured utilities, is shown by comparing with the exhaustive searched optimal solutions. Simulations with real H.264 SVC video traces demonstrate the effectiveness of our proposed Scheme by comparing with other existing Schemes in terms of well-accepted video quality assessment methods, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) index.

  • A near optimal QoE-driven Power Allocation Scheme for SVC-based video transmissions over MIMO systems
    2014 IEEE International Conference on Communications ICC 2014, 2014
    Co-Authors: Xiang Chen, Chiung-ying Wang, Jenq-neng Hwang, Chung Nan Lee
    Abstract:

    In this paper, we propose a near optimal Power Allocation Scheme, which maximizes the quality of experience (QoE), for scalable video coding (SVC) based video transmissions over multi-input multi-output (MIMO) systems. This Scheme tries to optimize the received video quality according to video frame-error-rate (FER), which may be caused by either transmission errors in physical (PHY) layer or video coding structures in application (APP) layer. Due to the complexity of the original optimization problem, we decompose it into several sub-problems, which can then be solved by classic convex optimization methods. Detailed algorithms with corresponding theoretical derivations are provided. Simulations with real video traces demonstrate the effectiveness of our proposed Scheme.

Guo Jin - One of the best experts on this subject based on the ideXlab platform.

  • Selection of Cooperative Node and Power Allocation Scheme Based on DF
    Computer Science, 2007
    Co-Authors: Guo Jin
    Abstract:

    For wireless communication systems, especially for single antenna node wireless communication systems, cooperative communication techniques can improve system performance effectively. Selection of cooperative node and cooperative Scheme are two basic problems for cooperative communication. For the goal of capacity maximum, based on DF, the problems including selection of cooperative node and Power Allocation Scheme are researched this paper, results show that when certain conditions are satisfied and reasonable Power Allocation Scheme is adopted system capacity can be improved availably.

K. A. Narayanankutty - One of the best experts on this subject based on the ideXlab platform.

  • A Strategic Power Allocation Scheme for Opportunistic Communication in Cognitive Radio Networks
    2011 International Conference on Internet Technology and Applications, 2011
    Co-Authors: S. Punitha Priya, Suresh Babu Libi, M. Y. Nandhitaa, Susan Joy Noelle, R. Preethikhaa, M. Nair Rohini, K. A. Narayanankutty
    Abstract:

    Distributed cognitive radio network shares the spectrum with the primary network. Generally the aim is to maximize the number of secondary users in the network without degrading the primary network's performance. For this, we use a distributed Power Allocation Scheme in this paper. The Power of the secondary users is found using the Power Allocation algorithm and substituted into the utility functions of the primary and secondary users. The simulation results prove that the Power Allocation algorithm maximizes the throughput of the network without causing much interference to the primary network