Resource allocation method based on genetic operation in heterogeneous network convergence scenes

Abstract

The invention provides a resource allocation method based on genetic operation in heterogeneous network convergence scenes. The resource allocation method mainly comprises three stages of establishment of an optimized objective function, genetic operation processing and wireless network resource allocation. The resource allocation method comprises the following steps: firstly, establishing the optimized objective function and constraint conditions required to be met by the optimized objective function according to obtained heterogeneous network resource information, the number of mobile terminals, business types and QoS (Quality of Service) thereof; then, mapping the optimized objective function to a fitness function of genetic operation, initializing the population and setting genetic parameters, and finding out an individual with the maximum fitness value as an optimal resource allocation scheme after a series of iterative operations such as selection, intersection, heteromorphosis and population regeneration; finally, allocating the optimal resource blocks for each business request of the mobile terminals according to the optimal resource allocation scheme obtained by genetic operation. The method provided by the invention solves the problems that the resource utilization rate and the network effectiveness can be maximized in a heterogeneous network and the optimal resource allocation of business service quality is also met.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a resource allocation method based on genetic calculation in a heterogeneous network fusion scene aimed at maximizing resource utilization and network utility. Background technique [0002] The rapid development of wireless communication technology has formed a heterogeneous communication network. In the scenario where multiple access technologies, networking methods, and wireless terminals coexist, the organic integration of multiple wireless communication technologies is an inevitable trend of technological development and is also the An effective way to optimize the use of network resources and guarantee the best user service quality. With the popularization of broadband wireless applications, wireless resources are becoming increasingly scarce, and resource allocation technology has become one of the key technologies to realize heterogeneous network i...

AI Technical Summary

Problems solved by technology

Traditional resource allocation methods based on user mobility and service characteristics cannot be effectively applied to ubiquitous networks. These algorithms usually only consider one type of service, and do not consider the scenario of supporting multiple services and the impact of resource allocation on network performance and user QoS. important role

Existing resource allocation methods in heterogeneous networks are often only considered from the user side or only from the network side, lacking a clear grasp of network resources and service characteristics, resulting in many deficiencies in resource allocation, unable to adapt to the dynamics of network resources Variation and Different QoS Requirements

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