[1]李君,王浩,王秀敏,等.超密集异构网络中基于分簇的休眠优化策略[J].东南大学学报(自然科学版),2017,47(5):845-849.[doi:10.3969/j.issn.1001-0505.2017.05.001]
 Li Jun,Wang Hao,Wang Xiumin,et al.Optimized clustering-based sleep strategy in hyperdense heterogeneous networks[J].Journal of Southeast University (Natural Science Edition),2017,47(5):845-849.[doi:10.3969/j.issn.1001-0505.2017.05.001]
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超密集异构网络中基于分簇的休眠优化策略()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
47
期数:
2017年第5期
页码:
845-849
栏目:
信息与通信工程
出版日期:
2017-09-20

文章信息/Info

Title:
Optimized clustering-based sleep strategy in hyperdense heterogeneous networks
作者:
李君12王浩2王秀敏2李正权13金小萍2
1东南大学移动通信国家重点实验室, 南京 210096; 2中国计量大学信息工程学院, 杭州 310018; 3北京邮电大学网络与交换技术国家重点实验室, 北京 100876
Author(s):
Li Jun12 Wang Hao2 Wang Xiumin2 Li Zhengquan13 Jin Xiaoping2
1National Mobile Communication Research Laboratory, Southeast University, Nanjing 210096, China
2College of Information Engineering, China Jiliang University, Hangzhou 310018, China
3State Key Laboratory of Networking and Switching Technology, Beijing Telecommunication University, Beijing 100876, China
关键词:
异构网络 分簇 休眠策略 满意度 功率消耗
Keywords:
heterogeneous networks clustering sleep strategy satisfaction power consumption
分类号:
TN911
DOI:
10.3969/j.issn.1001-0505.2017.05.001
摘要:
为了解决超密集异构网络中小基站数量较多引起的功率消耗较大问题,提出了一种高效的小基站休眠策略.该策略将系统中干扰较大的小基站分至相同的簇内,并对簇内小基站建立关于用户满意度以及功率消耗的最优化问题,通过二进制粒子群优化算法将部分小基站休眠.在资源分配方面,依据簇中包含的小基站数量对每个簇进行子信道的分配.在休眠策略优化过程中,通过对每个簇采取独立的休眠策略,提高了小基站的休眠以及激活效率.仿真结果表明,该休眠策略有效抑制了异构网络中存在的同层干扰,降低了系统的功率消耗.同时,在保证小基站用户满意度的情况下,该策略可以降低整个系统的中断概率.
Abstract:
To solve the problem of the high power consumption caused by the large number of small base stations in hyperdense heterogeneous networks, an efficient sleep strategy for small base stations is proposed. In this strategy, the small base stations with large interference are grouped as a cluster. The optimization problem about the user satisfaction and the power consumption of each cluster is established. The binary particle swarm optimization algorithm is used to put some of the small base stations into a sleep mode. In terms of resource allocation, the sub-channels are allocated according to the number of the small base stations in the cluster. During the optimization of the sleep strategy, the sleep efficiency and the activation efficiency of the small base stations are improved by the independent sleep strategy of each cluster. The simulation results show that this sleep strategy restrains the co-tier interference of the heterogeneous network and reduces the power consumption of the system. In addition, in the case of ensuring the satisfaction of the users, this strategy can reduce the outage probability of the whole system.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2017-04-10.
作者简介: 李君(1977—),男,博士,副教授,07a0303105@cjlu.edu.cn.
基金项目: 国家自然科学基金资助项目(61379027,61571108)、江苏省博士后基金资助项目(1302059B)、北京邮电大学网络与交换技术国家重点实验室开放课题资助项目(SKLNST-2016-2-14).
引用本文: 李君,王浩,王秀敏,等.超密集异构网络中基于分簇的休眠优化策略[J].东南大学学报(自然科学版),2017,47(5):845-849. DOI:10.3969/j.issn.1001-0505.2017.05.001.
更新日期/Last Update: 2017-09-20