关键词: 异构网络, 全频谱接入, 网络接入, 动态频谱分配

Abstract: How to achieve efficient allocation of dynamically coupled frequency spectrum resources to meet user traffic demands in heterogeneous network overlapping coverage scenarios is an important challenge for next-generation wireless communication networks. This paper comprehensively considers the difference of spectral attributes in the network domain and the diversification of user domain requirements. With the goal of maximizing the total bandwidth obtained by users, spectrum resource allocation is modeled as a nonlinear multi-constraint conditional 0-1 integer programming problem, and two solving methods are designed and implemented. Firstly, a simplified method based on the improved Hungarian algorithm is designed. By simplifying the constraints, the complex model is transformed into a standard form 0-1 programming, and the Hungarian algorithm is improved to effectively solve the complex spectrum allocation problem. Secondly, an improved genetic algorithm is designed, which uses elitism to preserve excellent individuals, fuses primary network interference constraints and sub-user requirements into fitness assessment to correct non-conforming genes for iteratively evolving to excellent individuals. Finally, the performance of the proposed methods and the particle swarm optimization method are compared by experiments. The experimental results show that the simplification method has a greater efficiency advantage, while the improved genetic algorithm can obtain a greater bandwidth.

Key words: heterogeneous networks, full spectrum access, network access, dynamic spectrum allocation