Spectral Prediction: Approaches in Cognitive Radio Networks

摘要

Due to the number of applications in cognitive radio networks, the importance in spectral prediction has been increased, and several applications have been studied within the organization of cognitive networks, decision, sharing, mobility, and sensing. These claims have been exploited, even more, to aim the reduce of delays in the processing of information and to enhance the efficiency of spectrum use. This research intends to provide a survey and a guide on the latest work on spectral prediction, examining state of the art in the inference of the spectrum in cognitive radio networks. For a better understanding of the prediction roll, the main spectrum prediction techniques were summarized, the applications were categorized, and the relevant research challenges were presented in a distributed manner. Accordingly, we considered a qualitative evaluation of different prediction strategies. Furthermore, this paper will offer a general overview to the readers of the current development proposals for the prediction process in heterogeneous wireless networks and identifies new channels to improve the quality of the service without interruptions. The reviewed articles were summarized and divided into the modern communication technologies as well as the research lines to be improved were organized according to the CR architecture.