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作 者:谭博文 王纲 姚稳 TAN Bo- wen ,WANG Gang ,YAO Wen(Department of (;ommunication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
机构地区:[1]重庆邮电大学通信与信息工程学院,重庆400065
出 处:《计算机科学》2018年第B06期279-282,共4页Computer Science
基 金:国家科技重大专项基金(2016ZX03002010-003)资助
摘 要:超密集网络中,严重的小区间干扰制约了终端用户的数据速率,针对该问题,提出一种基于簇优先级的资源分配方案。该方案分为3个步骤:首先,采用基于图论的染色算法为毫微微接入点(Femtocell Access Points,FAPs)分簇;然后,以簇内每个毫微微用户(Femtocell User Equipments,FUEs)的待发送数据量、排队等待时延以及受干扰强度等作为优先级,计算每个簇的优先级,高优先级的簇可最先获得信道增益好的子信道;最后,利用卡罗需-库恩-塔克(Karush-Kuhn-Tucker,KKT)条件和注水算法为FUEs分配功率。仿真实验表明该方案能够有效地减小Femtocell间的干扰,并能够极大地满足用户的需求,同时提升系统的吞吐量和频谱效率。In ultra-dense network,the serious inter-cell interference has restricted the data rate of users.In view of this problem,a new priority-based clustering resource allocation scheme was proposed in this paper.The scheme is divided into three steps.In the first step,it uses graph-based coloring algorithm for femtocell access points(FAPs).In the second step,it uses number of data to be transmitted,the queuing delay and the interference intensity of each femtocell user equipment(FUEs)in the cluster as the priority,and then calculates the priority of each cluster,for examples,clusters with high priority can receive sub-channel of good channel gain first.At last,it allocates power for FUEs by Karush-Kuhn-Tucker(KKT)and Water-Filling fashion.Simulation results show that the proposed scheme can effectively reduce the interference between femtocell,and can greatly satisfy the needs of users,while improving the throughput and spectrum efficiency.
分 类 号:TN929.5[电子电信—通信与信息系统]
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