Goodness-of-fit techniques
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Simulation
Fitting world-wide web request traces with the EM-algorithm
Performance Evaluation - Special issue: Internet performance and control of network systems
DRiVE-ing to the Internet: Dynamic Radio for IP services in Vehicular Environments
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
Fitting Mixtures of Exponentials to Long-Tail Distributions to Analyze Network Performance Models
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
A Novel Approach for Fitting Probability Distributions to Real Trace Data with the EM Algorithm
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
A measurement-based model for dynamic spectrum access in WLAN channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
On the performance of cognitive access with periodic spectrum sensing
Proceedings of the 2009 ACM workshop on Cognitive radio networks
Distributed spectrum sensing and access in cognitive radio networks with energy constraint
IEEE Transactions on Signal Processing
Measurement based capacity scavenging via whitespace modeling in wireless networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Energy-efficient detection of intermittent interference in wireless sensor networks
International Journal of Sensor Networks
Delay analysis for cognitive radio networks with random access: a fluid queue view
INFOCOM'10 Proceedings of the 29th conference on Information communications
Capacity scavenging in wireless networks: a comparative study
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
ZiFi: wireless LAN discovery via ZigBee interference signatures
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Model based bandwidth scavenging for device coexistence in wireless LANs
ICDCN'11 Proceedings of the 12th international conference on Distributed computing and networking
An overview of spectrum occupancy models for cognitive radio networks
NETWORKING'11 Proceedings of the IFIP TC 6th international conference on Networking
Activity pattern impact of primary radio nodes on channel selection strategies
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
Full length article: Empirical time and frequency domain models of spectrum use
Physical Communication
Estimation of expectable network quality in wireless mesh networks
IFIP'12 Proceedings of the 2012 international conference on Networking
Fast track article: Bandwidth scavenging for device coexistence in pervasive computing systems
Pervasive and Mobile Computing
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In this work we are concerned with dynamically sharing the spectrum in the time-domain by exploiting whitespace between the bursty transmissions of a primary user, represented by an 802.11b-based wireless LAN (WLAN). For deriving such schemes we need to establish a model of the WLAN's medium access as to predict its behavior accurately. Moreover, a balance between accuracy and complexity needs to be struck as to render the model useful in practice. We emphasize that our model is based on actual measurements at 2.4GHz using a vector signal analyzer. We have shown previously that a semi-Markov model is a viable approach for modeling the busy/idle durations. In the present paper we extend our results by (i) expanding the measurement setup and looking at more realistic traffic scenarios, (ii) providing a better approximation to the distribution of the idle durations, and (iii) fitting a phasetype approximation to arrive at a computationally simpler description. The goodness-of-fit of the proposed models is evaluated using the Kolmogorov-Smirnov test.