认知无线电网络中基于需求拍卖竞价的频谱分配算法

在认知无线电网络中,为了实现对频谱资源更加高效合理的分配,对原有基于拍卖模型的分配算法进行改进。引入供求理论加入需求因子和补贴函数,提出了一种基于需求拍卖竞价的认知无线电频谱分配算法。根据拍卖模型及动态频谱分配的特点,使用基于需求的系统总体效用最优的分配准则。在估价时考虑到了认知用户对频谱需求情况的不同,优先分配需求急迫的认知用户并对无线环境较差的用户进行竞价补贴以确保相对公平。通过仿真验证结果表明,本算法较之前提出算法在系统效用方面基本相当,公平性得到了明显提高,复杂度也得到了降低,提升了系统的整体效能。

Spectrum Allocation Algorithm for Cognitive Radio Networks Based on Auction of Demand

In the cognitive radio network, it is introduced that is supply and demand theory for achieving more efficient and rational allocation of spectrum resources. It improve the original auction-based allocation algorithm, adding demand factors and subsidies function, and a new demand-based auction bid cognitive radio spectrum allocation algorithm is proposed. According to the characteristics of auction model and dynamic spectrum allocation, it uses allocation criteria that the overall system utility based on demand is optimal, taking into account to the demand of different users to the spectrum in valuing. The user have the priority to allocate spectrum resources of cognitive users, that is urgent to spectrum and in a poor wireless environments. The simulation results show that the system usefulness of algorithm is roughly equal with proposed algorithm to compare with it, and fairness has been significantly improved to enhance overall system performance.