计算机工程与应用2019，Vol.55Issue(4)：101-111,11.DOI:10.3778/j.issn.1002-8331.1807-0208
异构无线网络密集部署场景下高效网络接入及频谱分配
Efficient Network Access and Spectrum Allocation in Dense Deployment of Heterogeneous Wireless Networks
摘要
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 program-ming, 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.关键词
异构网络/全频谱接入/网络接入/动态频谱分配Key words
heterogeneous networks/ full spectrum access/ network access/ dynamic spectrum allocation分类
信息技术与安全科学引用本文复制引用
董晓庆..异构无线网络密集部署场景下高效网络接入及频谱分配[J].计算机工程与应用,2019,55(4):101-111,11.基金项目
广东省重大科技专项(No.2015B010104005) （No.2015B010104005）
广东省科技计划项目(No.2016A020209012,No.2017B090901019,No.2015A010103015) （No.2016A020209012,No.2017B090901019,No.2015A010103015）
国家自然科学基金(No.61502110) （No.61502110）
广东省自然科学基金(No.2014A030307014) （No.2014A030307014）
广东省教育厅创新强校项目(No.2015KQNCX096) （No.2015KQNCX096）
潮州市科技计划项目(No.2015GY13). （No.2015GY13）
