Resource allocation method based on multi-strategy multi-target joint optimization in dense heterogeneous network

Abstract

The invention discloses a resource allocation method based on multi-strategy multi-target joint optimization in a dense heterogeneous network, belongs to the field of wireless communication, realizes user association, spectrum allocation and power allocation in the dense heterogeneous network by using a multi-strategy multi-target joint optimization method, and is applied to the dense heterogeneous network. According to the method, a resource allocation problem in the dense heterogeneous network is modeled as a multi-objective optimization problem, the energy efficiency and the spectrum efficiency in the dense heterogeneous network are optimized at the same time by taking the minimum rate of a user as a constraint condition, and the rate requirement of the user is ensured; compared with a single-strategy multi-objective optimization method, a multi-strategy multi-objective joint optimization method is adopted to solve a resource allocation strategy, and compared with the single-strategy multi-objective optimization method, the method does not need to allocate a weight to each optimization objective, so that the subjectivity of weight allocation is avoided, and the diversification of allocation strategies can be realized; pareto dominated sorting is repeatedly used in the algorithm, inferior solutions can be deleted in time in the operation process, and the final result only contains the optimal solution.

Description

technical field [0001] The invention belongs to the field of wireless communication, relates to a dense heterogeneous network system, and in particular relates to a resource allocation method. Background technique [0002] Today's world is in the era of ubiquitous connectivity, and the capacity and coverage of next-generation mobile communication networks will continue to increase to support the ever-increasing data traffic, terminal devices, and provide highly reliable seamless connections and high-speed data transmission. How to greatly increase network capacity has become an urgent problem to be solved in future mobile communications. Dense Heterogeneous Network (DHN) technology can effectively improve network capacity and coverage, and is an indispensable key technology. Through high-density deployment of base stations, the signal strength of users in dense heterogeneous networks is improved, and the access situation of edge users is improved. [0003] However, the dep...

AI Technical Summary

Problems solved by technology

This solution method needs to set the weight of each target first, the setting of the target weight is subjective, and there is only one resource allocation strategy for the solution

There are also some studies that optimize energy efficiency and spectral efficiency at the same time [3] , but the solution method adopted has obvious performance defects in convergence or complexity, and cannot significantly improve the energy efficiency and spectral efficiency of the system

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