CLIFT: a Cross-Layer InFormation Tool to perform cross-layer analysis based on real physical traces

TL;DR

This paper introduces CLIFT, a software tool that translates real physical traces into network simulations to enable accurate cross-layer analysis, especially for 4G satellite communication scenarios.

Contribution

The paper presents a novel software tool that integrates real physical traces into network simulations for detailed cross-layer performance analysis.

Findings

Enables realistic cross-layer analysis using real physical traces.

Provides detailed metrics for link and transport layer interactions.

Focuses on 4G satellite communication scenarios.

Abstract

Considering real physical (MAC/PHY) traces inside network simulations is a complex task that might lead to complex yet approximated models. However, realistic cross-layer analysis with the upper layer and in particular the transport layer cannot be driven without considering the MAC/PHY level. In this paper, we propose to cope with this problem by introducing a software that translates real physical events from a given trace in order to be used inside a network simulator such as $ns$-2. The main objective is to accurately perform analysis of the impact of link layer reliability schemes (obtained by the use of real physical traces) on transport layer performance. We detail the internal mechanisms and the benefits of this software with a focus on 4G satellite communications scenarios and present the resulting metrics provided by CLIFT to perform consistent cross-layer analysis.