Abstract

We propose a novel channel model to be used for simulating indoor wireless propagation environments. An extensive measurement campaign was carried out to assess the performance of different transport protocols over 802.11 links. This enabled us to better adjust our approach, which is based on an autoregressive filter. One of the main advantages of this proposal lies in its ability to reflect the "bursty" behavior which characterizes indoor wireless scenarios, having a great impact on the behavior of upper layer protocols. We compare this channel model, integrated within the Network Simulator (ns-2) platform, with other traditional approaches, showing that it is able to better reflect the real behavior which was empirically assessed.

Highlights

  • The advent and relevant growth of wireless LANs is behind the tremendous research activity which has recently been seen in this type of technologies

  • Following the same ideas as the previously discussed measurement campaign, the main goal with UDP traffic is to assess the raw behavior of the wireless channel, without considering the influence that particular procedures employed by higher layer protocols (e.g., TCP) might have

  • AR 20 (c) which, it does not reflect any randomness in the perceived SNR, is widely used by the scientific community; this approach, together with the hard threshold originally used by the simulator to decide whether the incoming frame was erroneous or not, leads to a very deterministic wireless channel, which might not be appropriate for certain types of analysis

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Summary

Introduction

The advent and relevant growth of wireless LANs is behind the tremendous research activity which has recently been seen in this type of technologies. In order to ensure trustworthy results and to obtain performances similar to the ones which would be expected over real environments, it is really important to mimic, as accurately as possible, the conditions of real networks. In this sense, one of the most crucial aspects is the use of appropriate and reliable channel models. Many of the network simulation frameworks are criticized because of their lack of proper wireless channel models, since the results they offer about the performances of different protocols or algorithms are usually extrapolated to real life

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