[1]李文静,何月顺. Macro-Femto双层网络中资源分配策略[J].计算机技术与发展,2015,25(09):115-118.
　LI Wen-jing,HE Yue-shun. A Resource Allocation Policy for Macro-Femto Double-layer Network[J].,2015,25(09):115-118.
点击复制

 Macro-Femto双层网络中资源分配策略()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年09期
页码:
115-118
栏目:
智能、算法、系统工程
出版日期:
2015-09-10

文章信息/Info

Title:
 A Resource Allocation Policy for Macro-Femto Double-layer Network
文章编号:
1673-629X（2015)09-0115-04
作者:
 李文静; 何月顺
 东华理工大学 信息工程学院
Author(s):
 LI Wen-jing; HE Yue-shun
关键词:
 ; 双层异构网络; I-O模型; 资源分配; 干扰抑制
Keywords:
 ; heterogeneous double-tiered network; I-O model; resource allocation; interference suppression
分类号:
TP301.6
文献标志码:
A
摘要:
 宏蜂窝与家庭基站的双层组网方案能够有效提高通信系统的容量，解决数据业务拥堵的现状。但是，宏蜂窝基站和家庭基站之间的多种干扰问题严重损害了通信质量，降低系统性能。针对该问题，文中提出了一种分层调度资源—联合抑制干扰的算法。首先构建了内外层系统模型(I-O模型)，并对双层交叉混合干扰进行了分析，然后分别在内层和外层提出了时频域资源调度和基于子信道和功率的资源分配算法，最后在系统平台上进行仿真。结果表明，所提算法在小区边缘用户频谱效率、系统用户平均吞吐量等方面达到了良好的效果。
Abstract:
 The coexistence of macro cells and low-power cells forming the heterogeneous double-tiered networks,can effectively improve the capacity of communications systems,solving the situation of data business congestion. However,the interferences between the macro cells and Femto cells severely degrade the quality of communications and prevent the system quality enhanced. Aiming at this problem, propose a hierarchical scheduling resource-joint interference suppression algorithm. First,build a model of the inner and outer layer of the system ( I-O model) ,and analyze the double-cross hybrid interference. Then,put forward an algorithm of resource allocation of time-frequency domain resource scheduling and based on joint subcarrier and power in inner and outer layer. Finally,simulate them on the sys-tem platform. The results show that the algorithm proposed achieves good effects in the spectrum efficiency of the system,the average user throughput and other aspects.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(09):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(09):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(09):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(09):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(09):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(09):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(09):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(09):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(09):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(09):47.

更新日期/Last Update: 2015-10-16