期刊论文

中文

计算机工程与科学

1007-130X

2014

36

9

1672-1677

10.3969/j.issn.1007-130X.2014.09.008

国家自然科学基金资助项目（61073186）；

本校为其他机构

频谱分配是认知无线电中的重要问题,而传统的频谱分配算法并未考虑频谱的差异性.提出一种基于免疫克隆优化算法、考虑频谱差异性的频谱分配算法,算法引入可信度矩阵对频谱的时间差异性进行建模.进行约束处理时,通过差异性算子(DCSO)的使用能将可信度更高的频谱分配给认知用户,从而提高系统的总收益.对于冲突激烈的认知用户,使用公平性算子(FCSO)能够增加它们被分配频谱资源的可能性,从而提高系统的公平性效益.仿真实验表明,相较于传统的免疫克隆优化算法、颜色敏感算法和遗传算法,本算法能显著增加网络的总收益、可信度,提高网络的公平性.

Spectrum allocation is an important issue in cognitive radio, but the spectrum difference is rarely discussed in traditional spectrum allocation algorithms. A new spectrum allocation algorithm is proposed, which is based on Immune-Clonal-Selection （ICS） and takes account of the spectrum difference. A reliability matrix is introduced to model the time difference of spectrum. The algorithm shows a rise in total network bandwidth by using the Difference-Constraint Satisfaction Operator when two cognitive users have interference using the same sp...