Elements of information theory
Elements of information theory
A trace-based approach for modeling wireless channel behavior
WSC '96 Proceedings of the 28th conference on Winter simulation
A Markov-based channel model algorithm for wireless networks
Wireless Networks
Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Modeling frame-level errors in GSM wireless channels
Performance Evaluation - Internet performance symposium (IPS 2002)
Markov and multifractal wavelet models for wireless MAC-to-MAC channels
Performance Evaluation
Improving wireless simulation through noise modeling
Proceedings of the 6th international conference on Information processing in sensor networks
What is the right model for wireless channel interference?
IEEE Transactions on Wireless Communications
Markov-based channel characterization for tractable performance analysis in wireless packet networks
IEEE Transactions on Wireless Communications
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Accurate models of wireless channels are a necessary pre-requisite for correct simulation and analysis of wireless protocols, applications and systems. However, commonly used wireless channel models do not correctly capture the characteristics of a real channel mainly because these models ignore either the frame-loss process or the bit-error process. In this paper, we propose a novel two-tier Markov model in which a frame-level model is executed first and the bit-level model is excited only when the frame-level model produces an error. We compare the accuracy of the proposed model with several existing models using four independently collected sets of wireless (802.11 and 802.15.4) residual bit-error traces. We validate the accuracy of the proposed model using the bit-error rate, frame-error rate, cumulative distributions of error and error-free bursts, and information divergence measures. We show that the proposed two-tier Markov model generally provides better accuracy than other models.