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A framework and source model for design and evaluation of Robust Header Compression

机译:鲁棒头压缩设计和评估的框架和源模型

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摘要

Robust Header Compression (ROHC) is a specification being developed by the Internet Engineering Task Force (IETF) for compressing protocol headers robustly over wireless channels to improve bandwidth efficiency. Traditionally, header compression schemes are designed based on qualitative descriptions of source headers. This is inadequate because qualitative descriptions do not precisely describe the effect of different source and deployment scenarios, and it is difficult to perform optimization using this methodology. In addition, due to the use of qualitative descriptions, most studies on header compression performance do not take into account the tradeoff between performance metrics such as robustness and compression efficiency. In this paper, we present a modeling framework for header compression. For the first time, a source model is developed to study header compression. Modeling the way packets are generated from a source with multiple concurrent flows, the source model captures the real-world behavior of the IP Identification header field. By varying the parameters in the source and channel models of our framework, different source and deployment scenarios can be modeled. We use the framework to define and establish the relationship between performance metrics, offering new perspectives to their current definitions. We then introduce the objective of scheme design and the notion of optimal schemes. Based on this new paradigm, we present a novel way to study the tradeoff dependencies between performance metrics. We demonstrate how a scheme can be designed to optimize tradeoffs based on the desired level of performance.
机译:健壮的报头压缩(ROHC)是Internet工程任务组(IETF)开发的一种规范,用于在无线信道上稳固地压缩协议报头,以提高带宽效率。传统上,头压缩方案是基于源头的定性描述而设计的。这是不充分的,因为定性描述不能精确描述不同源和部署方案的影响,并且使用此方法很难执行优化。另外,由于使用定性描述,大多数有关头压缩性能的研究都没有考虑性能指标(如鲁棒性和压缩效率)之间的折衷。在本文中,我们提出了用于标头压缩的建模框架。首次开发了源模型来研究报头压缩。对具有多个并发流的源生成数据包的方式进行建模,源模型将捕获IP标识头字段的实际行为。通过更改我们框架的源模型和通道模型中的参数,可以对不同的源模型和部署方案进行建模。我们使用该框架来定义和建立性能指标之间的关系,从而为它们的当前定义提供新的视角。然后,我们介绍了方案设计的目的和最佳方案的概念。基于此新范例,我们提出了一种新颖的方法来研究性能指标之间的权衡依赖关系。我们演示了如何根据期望的性能水平设计一种方案来优化折衷方案。

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