文章摘要
朱圣铭,杨霄鹏,刘东健,卫星.基于干扰效率的星地认知网络功率分配算法[J].空军工程大学学报:自然科学版,2021,22(3):62-67
基于干扰效率的星地认知网络功率分配算法
A Power Allocation Algorithm for Satellite Terrestrial Cognitive Networks Based on Interference Efficiency
  
DOI:
中文关键词: 卫星认知无线电  干扰效率  能量效率  功率控制
英文关键词: satellite cognitive radio  interference efficiency  energy efficiency  power control
基金项目:
作者单位
朱圣铭,杨霄鹏,刘东健,卫星 1.空军工程大学信息与导航学院 西安 710077 2.93088部队 内蒙古赤峰 024000 3.93811部队 兰州 730030 
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中文摘要:
      针对Underlay模式基于能量效率的功率控制算法未能准确反映次用户与主用户之间干扰性能导致系统容量下降的问题,综合考虑次用户能量有限及卫星链路和地面链路的差异性,定义干扰效率为认知卫星用户总的传输速率与地面基站接收到的干扰的比值,建立了基于干扰效率的星地认知网络上行链路功率分配模型,在此基础上提出一种基于干扰效率的功率分配算法。通过引入干扰门限约束及信干噪比约束条件,利用非线性分式规划理论和拉格朗日对偶法求解出最优功率。仿真结果表明:该算法能在较好满足次用户通信质量的前提下,有效减少对主用户的干扰,提升系统的干扰效率。
英文摘要:
      Aimed at the problem that the Underlay mode power control algorithm based on energy efficiency fails to accurately reflect the interference performance between the secondary users and the primary users resulting in system capacity degradation, the interference efficiency is defined as the ratio of the total transmission rate of the cognitive satellite user to the interference received by the terrestrial base station, taking into consideration of the limited energy of the secondary users and the difference between the satellite link and the terrestrial link, an interference efficiency based uplink power allocation model for satellite ground cognitive networks is established. On the basis of the above mentioned, an interference efficiency based power allocation algorithm is proposed. By introducing the interference threshold constraint and the signal to noise ratio constraint, the optimal power is solved by using the nonlinear fractional programming theory and the Lagrange duality method. The simulation results show that the algorithm in this paper can effectively reduce the interference to the primary user and improve the interference efficiency of the system under conditions of premise in satisfaction of the communication quality of secondary user.
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