Research Article
Strengthening Radio Environment Maps with Primary-User Statistical Patterns for Enhancing Cognitive Radio Operation
@INPROCEEDINGS{10.4108/icst.crowncom.2011.245909, author={Faouzi Bouali and Oriol Sallent and Jordi Perez-Romero and Ramon Agusti}, title={Strengthening Radio Environment Maps with Primary-User Statistical Patterns for Enhancing Cognitive Radio Operation}, proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={5}, keywords={cognitive radio radio environment map primary user}, doi={10.4108/icst.crowncom.2011.245909} }- Faouzi Bouali
Oriol Sallent
Jordi Perez-Romero
Ramon Agusti
Year: 2012
Strengthening Radio Environment Maps with Primary-User Statistical Patterns for Enhancing Cognitive Radio Operation
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2011.245909
Abstract
In order to increase spectrum utilization efficiency, CRs (Cognitive Radios) have been introduced to reuse white spaces left unused by legacy services under the strict constraint of not interfering them. In order to fulfill this constraint while optimising spectrum utilisation, it is important to get knowledge about primary-user activity in order to devise proper strategies for secondary user operation. In this context, this paper proposes to strengthen Radio Environment Maps (REM)with statistical patterns of primary systems that capture among others temporal dependence structures between activity (ON) and inactivity (OFF) periods. Convergence times for the different statistics are analysed. Then, a set of novel spectrum selection criteria exploiting these statistics are proposed and assessed to benchmark the usefulness of primary statistical patterns retained in the REM. Results show that significant performance gains can be achieved in terms of a reduction in the number of required spectrum hand-overs.
