摘要
针对认知异构蜂窝网络中下行链路的能耗问题,本文提出一种基于非合作博弈模型的功率控制算法,通过对次网络基站的功率控制和总功率限制抑制跨层干扰。同时该算法将功率控制问题转化为关于价格因子的一元线性问题求解家庭基站最优发射功率,在保证主网络的用户服务质量的同时有效提升了网络能量效率。
Aiming at the energy consumption problem of downlink in cognitive heterogeneous cellular networks,a power control algorithm based on non-cooperative game model is proposed in this paper.The cross layer interference is suppressed by limiting power and the total power of the secondary network base station.At the same time,the algorithm transforms the power control problem into a linear problem about the price factor to solve the optimal transmitting power of the cognitive femtocell base station,which can ensure the user service quality of the primary network and effectively improve the energy efficiency of the cognitive network.
作者
吕威
张羽
李一兵
LYU Wei;ZHANG Yu;LI Yibing(China Unicom(Heilongjiang)Industrial Internet Company Limited,Harbin 150001,China;College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《应用科技》
CAS
2020年第6期1-4,共4页
Applied Science and Technology
基金
黑龙江省自然科学基金面上项目(F2017004)
国家重点仪器研发项目(2016YFF0102806).
关键词
认知异构蜂窝网
非合作博弈
能量效率
功率控制
干扰抑制
价格因子
cognitive heterogeneous cellular network
non-cooperative game
energy efficiency
power control
interference suppression
price factor
