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|Title:||On discretizing the exponential on-off primary radio activities in simulations|
|Authors:||Wang, Z. |
Opportunistic spectrum access
|Source:||Wang, Z.,Chew, Y.H.,Yuen, C. (2011). On discretizing the exponential on-off primary radio activities in simulations. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC : 556-560. ScholarBank@NUS Repository. https://doi.org/10.1109/PIMRC.2011.6140023|
|Abstract:||In opportunistic spectrum access (OSA), secondary radios (SRs) are allowed to access the channel whenever primary radios (PRs) are not transmitting. The PR's spectrum activities are normally assumed to be a 2-state continuous Markov on-off process which can be modeled as two independent exponential random variables. On the other hand, some simulations prefer using a 2-state discrete Markov chain. As SRs periodically sense the channel to determine its availability before transmitting, maintaining the same false alarm and missed detection probabilities is necessary but still insufficient when discretizing the continuous PR on-off process. Earlier work has shown that type II missed detection error, which is a function of spectrum sensing period, occurs because PR, which is sensed to be inactive in the last sensing duration, can become active before the next spectrum sensing is performed. Hence, it is insufficient to simply perform simulation at the time stamp of spectrum sensing period as information about the type II missed detection error will be lost. This paper looks into the context of spectrum sensing on how we should select the time stamp of the simulation, i.e., the transition probabilities of the 2-state discrete Markov chain, so as to approximate the 2-state continuous Markov process without losing any valuable information. We first derive the expression for type II missed detection error based on the discrete PR on-off model. Then we present the method to decide the time stamp of the simulation so that type II missed detection probability is kept within a given error bound. The same approach can be generalized to other probability distributions of the spectrum activities. © 2011 IEEE.|
|Source Title:||IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC|
|Appears in Collections:||Staff Publications|
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