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家庭基站网络分布式资源分配算法
引用本文:王双叠,王江,徐景,滕勇,HORNEMAN Kari. 家庭基站网络分布式资源分配算法[J]. 应用科学学报, 2012, 30(5): 487-492. DOI: 10.3969/j.issn.0255-8297.2012.05.008
作者姓名:王双叠  王江  徐景  滕勇  HORNEMAN Kari
作者单位:1. 中国科学院上海微系统与信息技术研究所,上海2000502. 中国科学院无线传感网与通信重点实验室,上海2003353. 上海无线通信研究中心,上海2003354. 中国科学院研究生院,北京1000495. 诺基亚西门子网络公司,芬兰02022
基金项目:上海市国际合作项目基金,上海市启明星计划基金,上海市重大项目基金,上海市重点项目基金
摘    要:
针对具有自组织特性的家庭基站(home eNodeB, HeNB) 网络,提出了一种分布式资源分配算法. 该方法首先使HeNB 根据网络状况选择分量载波,而当接收到邻小区的重选请求时,可以重新选择备用载波列表中的载波,释放当前使用的载波给邻居使用,从而提高HeNB 获得可行载波的可能性. 使HeNB 根据优化目标函数自主地进行功率优化,以减少小区间干扰并提高系统容量. 通过蒙特卡罗方法分析该算法的性能,仿真结果表明:该资源分配算法能够提高用户的平均吞吐量并降低中断概率.

关 键 词:家庭基站  备用载波列表  载波重选择  小区间干扰  功率优化  
收稿时间:2011-04-14
修稿时间:2011-11-18

Distributed Resource Allocation in HeNB Networks
WANG Shuang-die , WANG Jiang , XU Jing , TENG Yong , HORNEMAN Kari. Distributed Resource Allocation in HeNB Networks[J]. Journal of Applied Sciences, 2012, 30(5): 487-492. DOI: 10.3969/j.issn.0255-8297.2012.05.008
Authors:WANG Shuang-die    WANG Jiang    XU Jing    TENG Yong    HORNEMAN Kari
Affiliation:1. Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences, Shanghai 200050, China;2. Key Laboratory of Wireless Sensor Network and Communication,Chinese Academy of Sciences, Shanghai 200335, China;3. Shanghai Research Center for Wireless Communications, Shanghai 200335, China;4. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;5. Nokia Siemens Networks, Espoo 02022, Finland
Abstract:
A distributed algorithm is proposed for resource allocation in self-organized home eNodeB (HeNB)networks. In this algorithm, each HeNB selects component carriers (CC) based on the network status. If a reselection request is received from neighboring cells, the HeNB will reselect the CC in the backup CC list, and release the CC requested by neighbors to enhance possibility of successful carrier selection. Each HeNB then adaptively performs power optimization in active CCs to reduce inter-cell interference and enhance the system capacity. Simulation results show that this resource and power allocation algorithm can enhance average user throughput and reduce the outage rate.
Keywords:home eNodeB (HeNB)   backup component carriers (CC) list  carrier reselection  inter-cell interference  power optimization  
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