Research Article
On the use of POMDP for Spectrum Selection in Cognitive Radio Networks
@INPROCEEDINGS{10.4108/icst.crowncom.2013.251983, author={Alessandro Raschell\'{a} and Jordi P\^{e}rez-Romero and Oriol Sallent and Anna Umbert}, title={On the use of POMDP for Spectrum Selection in Cognitive Radio Networks}, proceedings={8th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={ICST}, proceedings_a={CROWNCOM}, year={2013}, month={11}, keywords={spectrum selection partially observable markov decision process (pomdp)}, doi={10.4108/icst.crowncom.2013.251983} }
- Alessandro Raschellà
Jordi Pérez-Romero
Oriol Sallent
Anna Umbert
Year: 2013
On the use of POMDP for Spectrum Selection in Cognitive Radio Networks
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2013.251983
Abstract
Dynamic Spectrum Access is a key capability of Cognitive Radio (CR) networks to increase the efficiency in the use of the available spectrum resources. In this respect, this paper focuses on the spectrum selection problem when a number of radio links has to be established in a CR network to support applications with different bit rate requirements. A novel strategy based on a Partially Observable Markov Decision Process (POMDP) is proposed, whose target is to maximize a reward function that reflects the suitability of the available spectrum blocks to the application requirements. The proposed strategy combines partial observations of the interference state in the different spectrum blocks together with a statistical characterization of the interference dynamics. Thanks to this feature, the performance comparison of the algorithm against different reference strategies reveals that it achieves a very similar performance than a strategy operating under full knowledge of the real interference state of all the spectrum blocks, while at the same time it has much less requirements in terms of measurement needs and associated signaling.