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On Efficient Packet-Switched Wireless Networking: A Markovian Approach to Trans-Layer Design and Optimization of ROHC

机译:高效的分组交换无线网络:马尔可夫方法的ROHC跨层设计和优化

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摘要

In packet-switched radio links, the little known Robust Header Compression (ROHC) has become an integral part of many wireless and particularly cellular communication networks. To strengthen existing schemes, this paper aims to improve ROHC performance in terms of payload efficiency for U-mode compression under poor wireless channel conditions. We first consider the parameter optimization of current ROHC systems, for which we propose a Markov compressor model suitable for realistic unidirectional (U-mode) ROHC. We present both the steady-state analysis and the transient behavior analysis of the ROHC. More generally, we propose a novel trans-layer ROHC design concept by exploiting lower cellular network layer status information to adaptively control header compression without dedicated feedbacks. Considering practical delay and inaccuracy when acquiring lower layer information, we develop a ROHC control framework in terms of a partially observable Markov decision process. Our results demonstrate the strength of our Markov ROHC compressor model in characterizing both stationary and transient behaviors, and the significant advantage of the proposed trans-layer ROHC design approach.
机译:在分组交换无线链路中,鲜为人知的“鲁棒报头压缩”(ROHC)已成为许多无线,尤其是蜂窝通信网络不可或缺的一部分。为了加强现有方案,本文旨在在不良无线信道条件下针对U模式压缩的有效载荷效率方面提高ROHC性能。我们首先考虑当前ROHC系统的参数优化,为此我们提出了适合于实际单向(U模式)ROHC的马尔可夫压缩机模型。我们介绍了ROHC的稳态分析和瞬态行为分析。更一般而言,我们提出了一种新颖的跨层ROHC设计概念,即利用较低的蜂窝网络层状态信息来自适应地控制报头压缩,而无需专用反馈。考虑到获取下层信息时的实际延迟和不准确性,我们根据部分可观察到的马尔可夫决策过程开发了ROHC控制框架。我们的结果证明了我们的Markov ROHC压缩机模型在表征平稳和瞬态行为方面的优势,以及所提出的跨层ROHC设计方法的显着优势。

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