A Stochastic Geometry Model for Cognitive Radio Networks

Nguyen Tien Viet (1) , François Baccelli (2, 3, 1)

1 TREC - Theory of networks and communications
2 University of Texas at Austin [Austin]
3 LINCS - Laboratory of Information, Network and Communication Sciences

We propose a probabilistic model based on stochastic geometry to analyze cognitive radio in a large wireless network with randomly located users sharing the medium with carrier sensing multiple access. Analytical results are derived on the impact of the interaction between primary and secondary users, on their medium access probability, coverage probability and throughput. These results can be seen as the continuation of the theory of priorities in queueing theory to spatial processes. They give insight into the guarantees that can be offered to primary users and more generally on the possibilities offered by cognitive radio to improve the effectiveness of spectrum utilization in such networks.

Mots clés: stochastic geometry; multiple access; queueing theory; Poisson point process; Matérn point process

Domaines: Réseaux et télécommunications [cs.NI]

Nguyen Tien Viet, François Baccelli. A Stochastic Geometry Model for Cognitive Radio Networks. The Computer Journal, 2012, 55 (5), pp.534-552. ⟨10.1093/comjnl/bxr049⟩. ⟨hal-00940539⟩