Resource allocation optimization method based on mobility prediction in heterogeneous network

Abstract

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.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a resource allocation optimization method based on mobility prediction in a heterogeneous network. Background technique [0002] With the rapid growth of mobile data traffic in the communication network, in order to meet the growing needs of users, femtocells are deployed in large numbers, forming a heterogeneous communication network with existing macro base stations. However, the transmission power of femtocells is low, the coverage area is small, and the deployment is often very dense. Due to the mobile characteristics of users, user equipment will frequently switch between different base stations, and the communication network needs to constantly re-allocate resources for users. In order to ensure the continuity of user services, mobility prediction technology is introduced to optimize resource allocation by predicting user locations in advance and combining user service...

AI Technical Summary

Problems solved by technology

[0021] Aiming at mobility prediction in heterogeneous scenarios, there are problems such as unreasonable calculation and inaccurate prediction when using HMM model for prediction, and the situation that the user's demand for network resources changes at different times and places is not considered, etc., the present invention Provides a resource allocation optimization method based on mobility prediction in a heterogeneous network, which considers the actual needs of users for resources in different locations, and optimizes the network resource allocation of user equipment when switching between indoor femto base stations , to ensure continuous service for communication users

Images