Auction-Based Throughput Maximization in Cognitive Radio Networks Under Interference Constraint

Cognitive radio is an emerging technique to improve the utilization of radio frequency spectrum in wireless communication networks. That is, spectrum efficiency can be increased significantly by giving opportunistic access of the frequency bands to a group of cognitive users to whom the band has not been licensed. In this paper, as a cross layer application (MAC and physical layers) of graph theory, we consider the problem of throughput maximization of spectrum allocation in cognitive radio networks under interference constraint. We propose a novel auction-based channel allocation mechanism which tries to maximize both total and primary users’ utilities while satisfying signal to interference ratio constraint on primary receivers so that transmitted packets will be successfully received, without controlling secondary user powers. For comparison we discuss a greedy algorithm as well, however, one that does not handle interference issue. In order to compare results of proposed and greedy algorithms, we propose net throughput by taking into account outage probability of primary receiver. Simulation results show that exposing higher SINR (outage) threshold not only decreases total gain and primary users’ utilities but also worsens channel distribution performance. On the other hand adding auction mechanism significantly increases total gain throughput and primary user’ s utility. Particularly, up to SINR threshold values of 20dBs, auction provides outstanding performance and proposed algorithm has total throughput results close to those of the greedy one even though no interference constraint is H. M. Karaca (B) · S. Zafer Dicle Department of Electrical and Electronics Engineering, Dokuz Eylul University, Tinaztepe Kampusu, 35160 Buca, İzmir, Turkey e-mail: [email protected] S. Zafer Dicle e-mail: [email protected] T. Kurt PlusOneMinusOne, KOSGEB TEKMER, Bogazici University, Bebek, Istanbul, Turkey e-mail: [email protected] E. Anarim Department ofElectrical andElectronicsEngineering,BogaziciUniversity, 34342Bebek, Istanbul, Turkey e-mail: [email protected]