The Experts below are selected from a list of 785688 Experts worldwide ranked by ideXlab platform

Kuang Wang - One of the best experts on this subject based on the ideXlab platform.

  • WCNC - Cross-Layer Design for Wireless Video Stream Transmission
    2010 IEEE Wireless Communication and Networking Conference, 2010
    Co-Authors: Zheng Wang, Huifang Chen, Lei Xie, Kuang Wang
    Abstract:

    To provide reliable video stream transmission over wireless networks, we propose a Cross-Layer Design model in this paper. In the proposed model, the adaptive modulation and coding parameters at the physical layer, the ARQ parameters at the data link layer and the application-layer forward error correction (A-FEC) parameters at the application layer are jointly Designed. Our objective is to maximize the number of correctly decodable frames in a group of picture (GOP) according to the channel conditions and the GOP structure of the video stream. We also present a low-complexity bandwidth allocation algorithm for the A-FEC. The effectiveness of the proposed bandwidth allocation algorithm and the Cross-Layer Design model was shown in the simulation results.

Mehul Motani - One of the best experts on this subject based on the ideXlab platform.

  • Cross-Layer Design: a survey and the road ahead
    IEEE Communications Magazine, 2005
    Co-Authors: V. Srivastava, Mehul Motani
    Abstract:

    Of late, there has been an avalanche of Cross-Layer Design proposals for wireless networks. A number of researchers have looked at specific aspects of network performance and, approaching Cross-Layer Design via their interpretation of what it implies, have presented several Cross-Layer Design proposals. These proposals involve different layers of the protocol stack, and address both cellular and ad hoc networks. There has also been work relating to the implementation of Cross-Layer interactions. It is high time that these various individual efforts be put into perspective and a more holistic view be taken. In this article, we take a step in that direction by presenting a survey of the literature in the area of Cross-Layer Design, and by taking stock of the ongoing work. We suggest a definition for Cross-Layer Design, discuss the basic types of Cross-Layer Design with examples drawn from the literature, and categorize the initial proposals on how Cross-Layer interactions may be implemented. We then highlight some open challenges and new opportunities for Cross-Layer Design. Designers presenting Cross-Layer Design proposals can start addressing these as they move ahead.

  • BROADNETS - The road ahead for Cross-Layer Design
    2nd International Conference on Broadband Networks 2005., 1
    Co-Authors: V. Srivastava, Mehul Motani
    Abstract:

    Of late, there has been an avalanche of Cross-Layer Design proposals for wireless networks. A number of researchers have looked at specific aspects of the network performance and, by approaching Cross-Layer Design as per their interpretation of what it implies, presented several Cross-Layer Design proposals involving different layers of the protocol stack. There have also been works relating to the implementation of Cross-Layer interactions. It is high time that these various individual efforts be put into perspective and a more holistic view be taken. This paper is a step in that direction. In this paper, we take stock of the existing work in the area of Cross-Layer Design. We do so by suggesting a definition for Cross-Layer Design, by creating a taxonomy of the existing Cross-Layer Design proposals, and by categorizing the initial proposals on how Cross-Layer interactions can be implemented. We then extract the key insights from the current literature regarding which layers need to be coupled and in what ways. Finally, we highlight some open challenges and new opportunities for Cross-Layer Design that Designers can start addressing as they move forward.

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

  • A theoretical framework for interaction measure and sensitivity analysis in Cross-Layer Design
    ACM Transactions on Modeling and Computer Simulation, 2010
    Co-Authors: Haiyan Luo, Hai-feng Guo
    Abstract:

    Cross-Layer Design has become one of the most effective and efficient methods to provide Quality of Service (QoS) over various communication networks, especially over wireless multimedia networks. However, current research on Cross-Layer Design has been carried out in various piecemeal approaches, and lacks a methodological foundation to gain in-depth understanding of complex Cross-Layer behaviors such as multiscale temporal-spatial behavior, leading to a Design paradox and/or unmanageable Design problems. In this article, we propose a theoretical framework for quantitative interaction measures, which is further extended to sensitivity analysis by quantifying the contribution made by each Design variable and by the interactions among them on the Design objective. Thus, the proposed framework can significantly enhance our capability for Cross-Layer behavior characterization and provide Design insights for future Design. Furthermore, a case study on Cross-Layer optimized wireless multimedia communications has been adopted to illustrate major Cross-Layer Design trade-offs and validate the proposed framework. Both analytical and experimental results show the correctness and effectiveness of the proposed framework.

  • Quantitative Dynamic Interdependency Measure and Significance Analysis for Cross-Layer Design under
    2007
    Co-Authors: Hai-feng Guo
    Abstract:

    Interdependency among system parameters may significantly affect the performance metric of interest for cross- layer Design and optimization. However, it is very difficult to derive the interdependency among system parameters in a dynamic complex networking system due to uncertainty of data observation and system modeling. Furthermore, current Cross-Layer Design normally includes many system parameters, making the multidimensional Cross-Layer optimization problem very difficult to solve. In this research, we will propose a new approach for dynamic interdependency measure and significance analysis in Cross-Layer Design and optimization. The major contributions made in this paper are: 1) interdependency among system parameters under uncertainties is measured by using non- additive measure theory; 2) quantitative significance analysis is proposed for dynamically identifying what system parameters have the most significant effect on the performance metrics of interest for system objective function; and 3) we develop a new fast multidimensional optimization method for Cross-Layer Design based on dynamic interdependency measure and significance analysis. We show the effectiveness and feasibility of the proposed approach for Cross-Layer Design and optimization in IEEE 802.11 WLANs.

  • ICCCN - Quantitative Dynamic Interdependency Measure and Significance Analysis for Cross-Layer Design under Uncertainty
    2007 16th International Conference on Computer Communications and Networks, 2007
    Co-Authors: Hai-feng Guo
    Abstract:

    Interdependency among system parameters may significantly affect the performance metric of interest for Cross-Layer Design and optimization. However, it is very difficult to derive the interdependency among system parameters in a dynamic complex networking system due to uncertainty of data observation and system modeling. Furthermore, current Cross-Layer Design normally includes many system parameters, making the multidimensional Cross-Layer optimization problem very difficult to solve. In this research, we proposed a new approach for dynamic interdependency measure and significance analysis in Cross-Layer Design and optimization. The major contributions made in this paper are: (1) interdependency among system parameters under uncertainties is measured by using non-additive measure theory; (2) quantitative significance analysis is proposed for dynamically identifying what system parameters have the most significant effect on the performance metrics of interest for system objective function; and (3) we develop a new fast multidimensional optimization method for Cross-Layer Design based on dynamic interdependency measure and significance analysis. We show the effectiveness and feasibility of the proposed approach for Cross-Layer Design and optimization in IEEE 802.11 WLANs.

Xudong Wang - One of the best experts on this subject based on the ideXlab platform.

  • Cross-Layer Design in wireless mesh networks
    IEEE Transactions on Vehicular Technology, 2008
    Co-Authors: Xudong Wang
    Abstract:

    The conventional layered-protocol architecture does not provide optimal performance for wireless mesh networks (WMNs). The method of optimization decomposition of the protocol stack can achieve optimal network performance. This method usually results in a clean-slate protocol architecture that is different from the protocol architecture of WMNs. Such a difference actually demonstrates the need for a Cross-Layer Design. Specific features pertaining to WMNs also show the need for Cross-Layer optimization across different protocol layers. In this paper, motivations for Cross-Layer Design in WMNs are stated first. Moreover, Cross-Layer optimization schemes and algorithms between different protocol layers are investigated with an objective of shedding light on open research problems and new approaches. Guidelines for carrying out Cross-Layer Design in WMNs are also provided in this paper.

Zheng Wang - One of the best experts on this subject based on the ideXlab platform.

  • WCNC - Cross-Layer Design for Wireless Video Stream Transmission
    2010 IEEE Wireless Communication and Networking Conference, 2010
    Co-Authors: Zheng Wang, Huifang Chen, Lei Xie, Kuang Wang
    Abstract:

    To provide reliable video stream transmission over wireless networks, we propose a Cross-Layer Design model in this paper. In the proposed model, the adaptive modulation and coding parameters at the physical layer, the ARQ parameters at the data link layer and the application-layer forward error correction (A-FEC) parameters at the application layer are jointly Designed. Our objective is to maximize the number of correctly decodable frames in a group of picture (GOP) according to the channel conditions and the GOP structure of the video stream. We also present a low-complexity bandwidth allocation algorithm for the A-FEC. The effectiveness of the proposed bandwidth allocation algorithm and the Cross-Layer Design model was shown in the simulation results.