Abstract: A GA(Genetic Algorithm) based C-IoT(Cognitive Internet of Things) power adaptive PIS( Partial Interference Steering) algorithm is proposed for the interference management problem in C-IoT(Cognitive Internet of Things) systems under the concurrent spectrum access model. The algorithm can improve the spectrum fficiency of the system while ensuring the quality of service for both the PU ( Primary User) and the CU (Cognitive User). The simulation results show that the algorithm can converge quickly in seeking the optimal spectral efficiency of the system and calculate the optimal transmitting power of the PU and CU desired signals. In the scenario where the relative positions of the primary transmitter, PU and CU are determined, the optimal spatial distribution of the cognitive transmitters with access to the authorized spectrum can be solved based on the average degree of constraint violation D_{cv_ave} by the users.

Key words: cognitive internet of things; , interference steering; , genetic algorithm; , power allocation