异构蜂窝网络中用户非均匀分布的CRE和eICIC优化  

Jointly Optimize CRE and eICIC in Heterogeneous Cellular Networks with Non-Uniform User Distribution

作　　者：谭志远[1] 陈磊[1] 李曦[1] 纪红[1] 

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《北京邮电大学学报》2017年第2期11-15,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家科技重大专项项目(2016ZX03001017);国家自然科学基金面上项目(61671088)

摘　　要：在假设用户均匀分布的场景中,联合优化小区范围扩展(CRE)和增强型小区间干扰协调(e ICIC)不适用用户分布非均匀的实际场景.考虑到用户非均匀分布的特点,提出了相应的CRE和e ICIC联合优化方案.考虑到建模的复杂性,使用了斯坦伯格博弈建模CRE和e ICIC的联合优化过程,将宏基站作为领导者决定e ICIC策略,将pico基站作为跟随者决定CRE策略,进而提出一种求解算法,以获得斯坦伯格博弈均衡解.仿真结果表明了所提出的斯坦伯格均衡解算法的收敛性及有效性.As the effective methods to solve the load balance and interference control problem in heterogeneous cellular networks （HCN）, cell range expansion （CRE） and enhanced inter-cell interference （eICIC） attract the attention of many researchers.However, most of the current works are under the assumption of uniform user distribution for simplicity, which is not applicable for the non-uniform user distribution scene.We intend to jointly optimize CRE and eICIC in HCN with non-uniform user distribution.Due to the complexity of the optimization problem, Stackelberg Game is used to model the optimization process of CRE and eICIC where macro base station （MBS） decides the eICIC strategy as leader and small cell base stations decide the respective CRE scheme as followers.Moreover, a solution algorithm is proposed to achieve the Stackelberg equilibrium （SE）.The simulation results show the convergence of our proposed algorithm of SE and the effectiveness of our proposed solution.

关 键 词：小区范围扩展 增强型小区间干扰协调 异构蜂窝网络 斯坦伯格博弈 

分 类 号：TN929.53[电子电信—通信与信息系统]