The invention provides a resource allocation optimization method based on mobility prediction in a heterogeneous network, and belongs to the technical field of communication. The method comprises thefollowing steps of clustering the historical moving track of a user; using the clustering result as the main position of the user; obtaining the demanding condition of the user on the network resourcein each main position; modeling the historical moving track of the user into a two-order HMM model; dividing the whole prediction region into the corresponding moving state according to the main position; using the main position as a hidden state value; using the time as the explicit state; using the two-order HMM prediction model to predict the next position of the user; according to the prediction position, arranging a target base station for performing allocation on the user equipment according to requirements by combining the network resource requirements of the user in the position. In the heterogeneous communication network, a mobile prediction technology is used for optimizing the resource allocation process, the continuous communication service of the user is ensured; the serviceexperience of the user is well improved; the network resource utilization rate is improved.