Interference-aware resource allocation algorithm in multicarrier-based cognitive radio networks

Interference between users is a significant issue for resource allocation in cognitive radio(CR) networks. The interference induced by the secondary users(SUs) to the primary users(PUs) derives from two aspects: out-of-band leakage(OOBL), spectrum sensing error(SSE). Filter bank multicarrier(FBMC) has small out-of-band leakage and high spectral efficiency in comparison with that of the orthogonal frequency division multiplexing(OFDM). In this paper, a resource allocation algorithm with considering SSEs in CR networks is proposed. The interference model is established first and then the proposed algorithm is divided into two steps, power is allocated to SUs under both interference constraints and total power budget. Simulation results based on FBMC and OFDM systems show that the proposed algorithm causes less interference to the PUs than that of the algorithm without considering OOBL, the performance of FBMC in interference and throughput is better than OFDM in CR networks.