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
Optimizing the end-to-end performance of reliable flows over wireless links
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Performance evaluation of UDP lite for cellular video
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
A Markov-based channel model algorithm for wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
A Markov-based channel model algorithm for wireless networks
Wireless Networks
Markov-based modeling of wireless local area networks
MSWIM '03 Proceedings of the 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Modeling frame-level errors in GSM wireless channels
Performance Evaluation - Internet performance symposium (IPS 2002)
Cross-layer protocol design for real-time multimedia applications over 802.11 b networks
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Optimizing wireless multimedia transmissions through cross layer design
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Analysis and modeling of errors at the 802.11b link layer
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
The MPEG-4 fine-grained scalable video coding method for multimediastreaming over IP
IEEE Transactions on Multimedia
Error control for receiver-driven layered multicast of audio andvideo
IEEE Transactions on Multimedia
An improved UDP protocol for video transmission overInternet-to-wireless networks
IEEE Transactions on Multimedia
Video multicast using layered FEC and scalable compression
IEEE Transactions on Circuits and Systems for Video Technology
Markov and multifractal wavelet models for wireless MAC-to-MAC channels
Performance Evaluation
Survival of the fittest: an active queue management technique for noisy packet flows
Advances in Multimedia
A distribution-based approach to anomaly detection and application to 3G mobile traffic
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On performance modeling of ad hoc routing protocols
EURASIP Journal on Wireless Communications and Networking
Graph-Theoretic Complexity Reduction for Markovian Wireless Channel Models
Wireless Personal Communications: An International Journal
Distribution-Based anomaly detection in network traffic
DataTraffic Monitoring and Analysis
OFDM Error Floor Prediction in a Small-Time-Dispersion Channel
Wireless Personal Communications: An International Journal
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Wireless local area networks suffer from frequent bit-errors that result in Medium Access Control (MAC) layer packet drops. Bandwidth and media quality constraints of real-time applications necessitate analysis and modeling at the "MAC-to-MAC wireless channel". In this paper, we propose and evaluate stochastic models for the 802.11b MAC-to-MAC bit-error process. We propose an Entropy Normalized Kullback-Leibler (ENK) measure to accurately evaluate the performance of the models. We employ this measure to demonstrate that the traditional full-state Markov chains of order-10 and order-9 are required for accurate representation of the channel at 2 and 5.5 Mbps, respectively. However, the complexity of this modeling paradigm increases exponentially with respect to the order. For many real-time and non-real-time applications, which require (or could benefit significantly from) accurate modeling, the high complexity of full-state high-order Markov models makes them impractical or virtually ineffective. Thus, we propose two new linear-complexity models, which we refer to as the short-term energy model (SEM) and the zero-crossing model (ZCM). These models, which constitute the most important contribution of this paper, constrain the complexity to increase linearly with the model order. We illustrate that the linear-complexity models, while yielding orders of magnitude reduction in complexity, provide a performance comparable to that of the exponential complexity full-state models. Within the linear-complexity context, we illustrate that the zero-crossing model perform better than its short-term energy counterpart. Finally, for varying window sizes and due to its low complexity, we show that the zero-crossing model can be adapted in real-time. Such an adaptive model provides accurate channel modeling and characterization for rate adaptive applications.