Traffic Pattern Prediction Based Spectrum Sharing for Cognitive Radios
Xiukui Li, Seyed A. Reza Zekavat · InTech eBooks · 2009
In this chapter, traffic models and traffic prediction techniques which can be implemented in secondary (cognitive) users are discussed. Methods are introduced for secondary users to evaluate the probability of channel being available for a given time period in different situations. Comparing the evaluated probability of channel availability with a threshold, secondary users can determine whether to use a channel. The threshold maintains a trade-off between the channel switching rate and call blocking rate of secondary users, the interference on primary users and spectrum reuse efficiency. In addition, the probability that there is a successful secondary user's transmission at one time instance is examined, and cooperative prediction techniques are briefly introduced. Finally, the application of the traffic pattern prediction technique in spectrum sharing is discussed.