Coping with communication gray zones in IEEE 802.11b based ad hoc networks
WOWMOM '02 Proceedings of the 5th ACM international workshop on Wireless mobile multimedia
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Experimental evaluation of wireless simulation assumptions
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
IEEE Transactions on Mobile Computing
Measurement-based approaches for accurate simulation of 802.11-based wireless networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
A new approach to simulating PHY, MAC and routing
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Measurement-based frame error model for simulating outdoor Wi-Fi networks
IEEE Transactions on Wireless Communications
Error modeling schemes for fading channels in wireless communications: A survey
IEEE Communications Surveys & Tutorials
Autoregressive modeling for fading channel simulation
IEEE Transactions on Wireless Communications
Quality-Aware Routing Metrics for Time-Varying Wireless Mesh Networks
IEEE Journal on Selected Areas in Communications
Throughput and PER estimates harnessing link-layer measurements for indoor 802.11n WLAN
Computer Standards & Interfaces
Replication of the bursty behavior of indoor WLAN channels
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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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.