A resource allocation optimization method based on mobility prediction in heterogeneous networks

Abstract

The invention provides a resource allocation optimization method based on mobility prediction in a heterogeneous network, which belongs to the technical field of communication. The method includes: clustering the historical moving track of the user, using the clustering result as the main location of the user, and obtaining the user's demand for network resources at each main location; modeling the historical moving track of the user as a second-order HMM model , the entire prediction area is divided into corresponding mobile states according to the main position, the main position is taken as the value of the hidden state, and the explicit state is time, and the second-order HMM prediction model is used to predict the user's next position; according to the predicted position, Combined with the user's network resource requirements at the location, the target base station is arranged to allocate user equipment on demand. In the heterogeneous communication network, the present invention introduces the mobility prediction technology to optimize the resource allocation process, ensures the continuous communication service of the user, better improves the service experience of the user, and improves the utilization rate of network resources.

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...

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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

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