Primary transmitter discovery based on image processing in cognitive radio

Abstract

The subject of secondary spectrum usage has been a hot research topic for some time now. Secondary users should be able to detect available primary frequency bands and use these spectrum opportunities without causing any harmful interference to primary users. The aim of this paper is to propose a new methodology, based on image processing techniques, which combines a number of sensed samples at different random geographical positions collected by secondary sensors, in order to build a map with the positions and coverage areas of the different primary transmitters. The results can be used to discover frequencies that can be used by a secondary market without causing interference to primary receivers and without any type of cooperation between primary and secondary networks. © 2009 Springer Berlin Heidelberg.