摘要
针对传统基于拍卖的认知无线电频谱分配算法中次用户收益低、用户自私性等问题,提出了一种基于分组拍卖的认知无线电频谱分配算法.通过引入分组机制降低了拍卖的复杂度,使系统收益能较快的达到稳定;考虑到频谱分配过程中可能产生干扰问题,本算法设置了干扰半径,确保干扰范围内同一频谱不会分配给不同用户;构建次用户收益函数及竞价函数,在保证系统收益的同时提高了次用户收益;最后,为了抑制次用户拍卖过程中的自私性,建立满足真实性的收费机制,减少用户虚假报价.仿真实验验证了文中算法的合理性和有效性.
This paper proposes a spectrum allocation algorithm based on group auction to solve the problems of low secondary user income and user selfishness in traditional spectrum allocation algorithms based on auction.By introducing grouping mechanism,the complexity of auction is reduced and the system revenue can be stabilized quickly.Considering that the interference may occur in the spectrum allocation process,this algorithm sets the interference radius to ensure that the same spectrum will not be allocated to different users within the interference range.The secondary user revenue function and bidding function are constructed to ensure the system revenue while improving the secondary user revenue.Finally,in order to suppress the selfishness in the auction process of secondary users,a charging mechanism that satisfies the authenticity is established to reduce the false quotation of users.Simulation experiments verify the rationality and effectiveness of the proposed algorithm.
作者
陈浩雷
滕子铭
孙汇阳
张华
Chen Haolei;Teng Ziming;Sun Huiyang;Zhang Hua(Electrical Engineering College,Northeast Electric Power University,Jilin Jilin 132012;College of Communications Engineering,Jilin University,Changchun Jilin 130012;Beijing Electronics Science and Technology Institute Department of Cryptography and Technology,Beijing 100070)
出处
《东北电力大学学报》
2021年第2期72-78,共7页
Journal of Northeast Electric Power University
基金
国家自然科学基金青年科学基金项目(61501107)。
关键词
分组拍卖
频谱分配
自私性
干扰半径
竞价函数
Grouping auction
Spectrum allocation
Selfish
Disturbance radius
Bidding function
