摘要
建立了认知异构无线网络的系统模型。基于该模型,以网络效益最大化为目标,考虑接入网的频谱需求,接入网之间的干扰和对应异构网络不同接入技术的多粒度重叠信道之间的干扰约束条件,将频谱资源分配建模为非线性约束0-1整数规划问题,进而提出基于克隆选择的认知异构网络中动态频谱分配算法,并在该算法中设计了一种新的能够同时考虑接入网频谱需求和多粒度信道频谱资源的抗体整数编码方式。仿真结果表明,所提算法相比于贪婪分配算法,增加了网络效益,提高了频谱使用效率。
The system model of cognitive heterogeneous wireless networks was given. Based on this system model, the problem of dynamic spectrum allocation was formulated as a constrained O-1 integer programming with maximizing the network utility in mind, and considering the demand for spectrum from various radio access networks the interference between them and heterogeneous granularity channels because of the fact that different radio access technologies use channels with different widths. An intelligent algorithm named clone selection algorithm was applied to solve this prob- lem within which a new coding scheme for the antibody was proposed based on the demand for spectrum and heteroge- neous granularity channels. Simulation results show that the proposed method could improve the network utility and spectrum utilization compared with greedy allocation algorithm.
出处
《通信学报》
EI
CSCD
北大核心
2012年第7期59-66,共8页
Journal on Communications
基金
国家杰出青年科学基金资助项目(60725105)
国家重点基础研究发展计划("973"计划)基金资助项目(2009CB320404)
长江学者和创新团队发展计划基金资助项目(IRT0852)
高等学校创新引智计划基金资助项目(B08038)~~
关键词
认知异构无线网络
动态频谱分配
克隆选择算法
多粒度信道频谱资源
网络效益
cognitive heterogeneous wireless networks
dynamic spectrum allocation
clone selection algorithm
hetero-geneous granularity channels
network utility
