Abstract: The important principle of Cognitive Ｒadio system is to guarantee the communication quality of licensed users． In order to improve the communication quality of licensed users，the inter-carrier interference between licensed users and un-licensed users must be effectively suppressed． A multi-objective optimization
based interference suppression algorithm for Cognitive Ｒadio is proposed． By analyzing the interference energy of the licensed users in the spectrum pooling，the algorithm locates the subcarrier sequence which produces the maximum interference to the licensed users in the un-licensed user's subcarrier． Under the premise of meeting the data transmission rate target of the un-licensed users，masking these maximum interference subcarriers effectively
suppress the interference energy of the system． The simulation results show that the new interference suppression parallel algorithm can obviously reduce the interference and make licensed users obtain better bit error rate performance．

Key words: interference suppression, spectrum pooling, multi-object