摘要
针对异构密集网络中宏基站对微基站用户干扰严重、用户业务变化剧烈,以及系统边缘频谱效率低下的问题,提出了一种基于业务感知的增强型小区间干扰协调算法。该算法首先利用离散马尔可夫调制过程对用户业务进行建模;然后提出了一种基于部分可观察马尔可夫决策过程的感知算法来感知用户业务变化;最后在感知结果的基础上提出了一种适应用户业务变化的动态ABS调整方案。仿真结果表明,所提方案有效地提升了系统边缘频谱效率,同时用户平均丢包率也得到了显著的下降。
Aiming to address the serious interference problem with the user traffic changing severely and improve the low cell edge spectrum efficiency of the heterogeneous dense network,this paper proposed an enhanced inter-cell interference coordination algorithm based on traffic-aware.This scheme built the traffic model based on the discrete Markov modulated Poisson process,and then proposed a traffic-aware algothrim based on partially observable Markov decision processes.Finally,on the basis of the predicted result,this paper presented a dynamic ABS adjustment algorithm which adapted to the change of traffic volume.Simulation results show that the proposed method improves the cell edge spectrum efficiency,meanwhile,decreases obviously the average packet loss ratio of system users.
作者
张元宝
唐伦
陈前斌
Zhang Yuanbao;Tang Lun;Chen Qianbin(Key Laboratory of Mobile Communication Technology,Chongqing University of Posts&Telecommunications,Chongqing 400065,China)
出处
《计算机应用研究》
CSCD
北大核心
2018年第5期1495-1499,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(61571073)
关键词
密集网络
业务感知
干扰协调
边缘频谱效率
dense network
traffic-aware
interference coordination
cell edge spectrum efficiency
