密集异构网络中基于非邻区关系分簇的集中式基站休眠算法

doi:10.11959/j.issn.1000-0801.2018171

电信科学 ›› 2018, Vol. 34 ›› Issue (5): 63-71.doi: 10.11959/j.issn.1000-0801.2018171

密集异构网络中基于非邻区关系分簇的集中式基站休眠算法

曹一侃,解志斌,王亚军,夏本琦

江苏科技大学，江苏镇江 212000

修回日期:2018-03-25 出版日期:2018-05-01 发布日期:2018-05-30
作者简介:曹一侃（1987-），男，江苏科技大学电子信息学院硕士生，主要研究方向为绿色通信、网络能效优化。|解志斌（1981-），男，江苏科技大学电子信息学院副教授，主要研究方向为绿色通信、干扰管理。|王亚军（1972-），男，江苏科技大学理学院副教授，主要研究方向为MIMO-OFDM系统、优化理论与算法在无线通信中的应用。|夏本琦（1992-），男，江苏科技大学电子信息学院硕士生，主要研究方向为干扰管理。
基金资助:
国家自然科学基金资助项目(61401180);国家自然科学基金资助项目(61371114)

Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks

Yikan CAO,Zhibin XIE,Yajun WANG,Benqi XIA

Jiangsu University of Science and Technology,Zhenjiang 212000,China

Revised:2018-03-25 Online:2018-05-01 Published:2018-05-30
Supported by:
The National Natural Science Foundation of China(61401180);The National Natural Science Foundation of China(61371114)

摘要/Abstract

摘要：

密集异构网络中，大量部署的低功率基站将会带来巨大的网络能耗，基站休眠算法可以有效降低网络能耗，但在算法实施过程中存在复杂度较高、准确性易受影响以及网络信令负担大等问题。为此，提出了一种适用于密集异构网络的基于非邻区关系分簇的集中式基站休眠算法。该算法首先基于非邻区关系准则，将不存在用户直接相互切换关系的低功率基站分为一簇，然后根据每簇内基站能效均值以及用户和基站的位置关系，分别设置潜在休眠基站判决机制和基站运行模式判决机制，最后所有簇依次执行簇内判决机制。仿真结果表明，该休眠算法具有良好的网络性能。

关键词: 密集异构网络, 非邻区关系分簇, 基站休眠, 运行模式

Abstract:

A centralized base station sleeping algorithm based on non-neighbor relation clustering was proposed for dense heterogeneous networks.Firstly,based on the non-neighbor relationship criterion,the low power base stations with no direct switching relationship were clustered into several groups.Then,the low power base station running mode decision mechanism and possible base station sleeping decision mechanism was set according to the energy efficiency mean of base station in each cluster and the position relations between the users and the base station.At last,all clusters run the decision mechanism of inner cluster according to the order of the implementation of sleeping algorithm.The simulation results show that the proposed algorithm has satisfactory network performance.

Key words: dense heterogeneous network, non-neighbor relationship clustering, base station sleeping, running mode

中图分类号:

TN929

曹一侃,解志斌,王亚军,夏本琦. 密集异构网络中基于非邻区关系分簇的集中式基站休眠算法[J]. 电信科学, 2018, 34(5): 63-71.

Yikan CAO,Zhibin XIE,Yajun WANG,Benqi XIA. Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks[J]. Telecommunications Science, 2018, 34(5): 63-71.

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参考文献 18

[1]	陈山枝 . 发展 5G 的分析与建议[J]. 电信科学, 2016,32(7): 1-10.
	CHEN S Z . Analysis and suggestion of future 5G directions[J]. Telecommunications Science, 2016,32(7): 1-10.
[2]	韩东升, 郑冰, 陈智雄 . 基于能量损耗与能源代价均衡的基站休眠机制[J]. 电信科学, 2017,33(7): 9-18.
	HAN D S , ZHENG B , CHEN Z X . Base station sleep mechanism based on power consumption and energy cost balance[J]. Telecommunications Science, 2017,33(7): 9-18.
[3]	BOUSIA A , KARTSAKLI E , ANTONOPOULOS A ,et al. Multi objective auction-based switching off scheme in heterogeneous networks to bid or not to bid[J]. IEEE Transactions on Vehicular Technology, 2016,65(11): 9168-9180.
[4]	周朋光, 黄俊伟, 张仁迟 ,等. 超密集网络中一种基于人工蜂群的节能分簇算法[J]. 电信科学, 2017,33(2): 90-97.
	ZHOU P G , HUANG J W , ZHANG R C ,et al. An energy saving clustering algorithm based on artificial bee colony in ultra dense network[J]. Telecommunications Science, 2017,33(2): 90-97.
[5]	BJORNSON E , SANGUINETTI L , KOUNTOURIS M . Deploying dense networks for maximal energy efficiency:small cells meet massive MIMO[J]. IEEE Journal on Selected Areass in Communications, 2016,32(4): 832-847.
[6]	李渝舟, 江涛, 曹洋 ,等. 5G 绿色超密集无线异构网络：理念、技术及挑战[J]. 电信科学, 2017,33(6): 34-40.
	LI Y Z , JIANG T , CAO Y ,et al. Green 5G ultra-dense wireless heterogeneous networks:guidelines,techniques and challenges[J]. Telecommunications Science, 2017,33(6): 34-40.
[7]	陈登昭 . 异构蜂窝网络下基站节能技术研究[D]. 长春:吉林大学, 2016.
	CHEN D Z . Study on the energy-saving technology of base station of heterogeneous cellular network[D]. Changchun:Jilin University, 2016.
[8]	CHIARAVIGLIO L , CIULLO D , MEO M ,et al. Energy-efficient management of UMTS access networks[C]// The 21st IEEE International Teletraffic Congress,Sept 15-17,2009,Paris,France.[S.l.:s.n]. 2009: 1-8.
[9]	GUO W , S,O’FARRELL T , . Dynamic cell expansion:traffic aware low energy cellular network[C]// 2012 Vehicular Technology Conference,Sept 1,2012,Quebec City,Canada. Piscataway:IEEE Press, 2012: 1-5.
[10]	LIU C , WAN Y , TIAN L ,et al. Base station sleeping control with energy-stability tradeoff in centralized radio access networks[C]// The 2015 IEEE Global Communications Conference,Dec 6-10,2015,San Diego,USA. Piscataway:IEEE Press, 2015: 1-6.
[11]	JIE W,SHI J , LEI J ,et al. Dynamic switching off algorithms for pico base stations in heterogeneous cellular networks[J]. EURASIP Journal on Wireless Communications and Networking, 2015(1):117.
[12]	WEI Z , WEI L , XIE Y ,et al. Hybrid BS-cooperative power management scheme with self-organized sleep mode in virtual cell-based femto networks[J]. International Journal of Distributde Sensor Networks, 2012: 178-193.
[13]	BOUSIA A , KANSAKLI E , ALONSO L ,et al. Dynamic energy efficient distance-aware base station switch on/off sheme for LTE-Advanced[C]// IEEE Global Communications Conference (GLOBECOM),Dec 3-7,2012,Anaheim,CA,USA. Piscataway:IEEE Press, 2012: 1532-1537.
[14]	ABDUKLAFI A A , KIONG T S , CHIENG D ,et al. Energy efficiency improvements in heterogeneous network through traffic load balancing and sleep mode mechanisms[J]. Wireleess Personal Communication, 2014,75(4): 2151-2164.
[15]	MARSAN M A , MEO M . Energy efficient management of two cellular access networks[J]. ACM Sigmetrics Performance Evaluation Review, 2010: 69-73.
[16]	AUE G , GIANNINI V , DESSET C . How much energy is needed to run a wireless network[J]. Wireless Communications, 2011,18(5): 40-49.
[17]	3GPP. Simulation assumptions and parameters for FDD HeNB RF requirements:TSG RAN WG4 R4-092042[S]. 2009.
[18]	BJ?RNSON E , SANGUINETTI L , KOUNTOURIS M . Deploying dense networks for maximal energy efficiency:small cells meet massive MIMO[J]. IEEE Journal on Selected Areas in Communications, 2016,34(4): 832-847.

仿真参数	宏蜂窝	小蜂窝
基站传输功率/dBm	46	20
系统带宽/MHz	10	10
RB数量	50	50
小区覆盖半径/m	289	10
基站天线模式	3D定向天线	全向天线
基站最大天线增益/dBi	14	5
信道模型	瑞利衰落信道	瑞利衰落信道
热噪声功率谱密度/(dBm·Hz^-1)	–174	–174
阴影衰落标准方差/dB	8	10
用户最低速率要求/（kbit·s^-1）	400	400
最小距离要求d_min/m	宏蜂窝—小蜂窝：75	小蜂窝—小蜂窝：5
	宏蜂窝—UE： 35	小蜂窝—UE：1

密集异构网络中基于非邻区关系分簇的集中式基站休眠算法

Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks

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