基于拍卖理论的认知物联网频谱分配策略

A spectrum allocation scheme for cognitive Internet of Things based on an auction theory

在认知物联网中,为了保证网络的运行提出了1种基于拍卖理论的认知物联网频谱分配策略。活跃认知用户根据效用函数估计空闲认知用户的感知行为所能带来的收益,并进行出价,获胜者得到使用空闲认知用户感知到的空闲频段的资格,空闲认知用户得到与出价相等的收益。同时考虑认知物联网在传输量拍卖与满意度拍卖中的不同需求,通过分析认知物联网基于第二价格封闭拍卖模型的网络收益,设计出1种预算受限、存在预留价格及基站调节机制等多个限制条件下的拍卖策略。仿真结果表明,在认知物联网中基于拍卖理论的认知物联网频谱分配策略比其他算法拥有更好的传输性能。

To ensure the operation of cognitive loT, it is necessary to solve the ownership problem of vacant channels which is de- tected by inactive secondary users. Considering the self-interest of secondary users, this paper presents a spectrum allocation scheme for cognitive Internet of Things based on an auction theory. Active secondary users bid for the detection behavior based on the utility function, and the user who gives the highest offer will obtain the channels＇ information. The payoffs of transmission volume action and satisfaction degree action were studied under the second-price auction mode. An auction algorithm based on the reserve price, budget constraint and base station regulation strategy was proposed. The numerical simulation results showed that the scheme based on auction algorithm can achieve higher performance compared with other schemes.