A Cross-Layer Design Approach using MIMO System for Wireless Networks

Srimathi Mathialagan, S. Shanmugavel
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引用次数: 4

Abstract

Transmission of video summary frames through wireless networks needs higher bandwidth with less delay and distortion constraints as continuous media playback is necessary at the receiver. So the joint optimization of application layer with lower layers is necessary to meet certain QoS requirements. In this paper, we propose a Cross-layer design approach that jointly optimizes the physical layer, data link layer and application layer for the transmission of video summary frames through wireless networks based on MIMO transmit/receive diversity with AMC at the physical layer and ARQ at the data link layer and source coding at the application layer. We model the finite-state Markov chain(FSMC) for the physical layer service and based on that, we then characterize the Lagrangian relaxation and Dynamic programming to find the optimal shortest path. The source coding as well as retransmission requests are based on the channel-state information (CSI) and the system controller is implemented in all the three physical, data-link and application layers. The numerical results revealed that our proposed cross-layer model with MIMO diversity schemes can efficiently achieve the distortion gain with same delay budget.
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无线网络MIMO系统的跨层设计方法
通过无线网络传输视频摘要帧需要更高的带宽和更少的延迟和失真限制,因为接收器需要连续的媒体播放。因此,为了满足一定的QoS要求,需要对应用层和下层进行联合优化。本文提出了一种基于MIMO收发分集的无线网络视频摘要帧传输的跨层设计方法,在物理层采用AMC,数据链路层采用ARQ,应用层采用源编码,对物理层、数据链路层和应用层进行共同优化。建立了物理层服务的有限状态马尔可夫链(FSMC)模型,并在此基础上对拉格朗日松弛和动态规划进行了表征,以寻找最优最短路径。源编码和重传请求基于信道状态信息(CSI),系统控制器在所有三个物理层、数据链路层和应用层中实现。数值结果表明,采用MIMO分集方案的跨层模型可以在相同的延迟预算下有效地获得失真增益。
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