摘要
为提高认知小蜂窝网络(CSSN)的系统容量,本文基于博弈论框架分析了上行链路中频谱、小蜂窝基站和功率的动态分配行为.传统的频谱分配方案只考虑了异质网路中相互独立频带间的最优分配,而没有考虑可重叠频段间的分配模式和上行链路资源的联合优化.基于此,本文提出了一种具有频带可交叉特性的联合分配模型.通过引入干扰温度限制、全新的干扰算子和记忆因子构造了一种新型的上行注水功率算法.仿真结果表明,基于博弈理论的动态选择特性和干扰温度的干扰避免准则,本算法可以有效提高CSCN的吞吐量和鲁棒性.
In order to improve the capacity of the cognitive small cell network （CSCN）,this paper analyzed the dynamic al-location of the spectrum,small cell base stations （SBS）and transmission power in the uplink based on the game theory.The tradi-tional allocation scheme only considered the optimal allocation among independent frequency bands in heterogeneous networks,with-out taking into account the mutually overlapped frequency bands and the joint resource allocation in the uplink.For this reason,the joint optimal allocation etiquette is proposed.The interference temperature constraints,the new interference operator and the memory factor were introduced in the new uplink water-filling algorithm.Based on the characteristic of dynamic selection and the interfer-ence avoidance rule of interference temperature.Simulation results show that our algorithm can effectively improve the throughput and robustness of the CSCN.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2015年第10期1911-1917,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61371091
No.61301228)
高等学校博士学科点专项科研基金(No.20132125110006)
中央高校基本科研业务费专项基金
大连海事大学优秀科技创新团队培育计划(No.3132013334)
