基于Benders分解的无线网络协作节能机制

doi:10.11999/JEIT160387

Abstract
Figure/Table
References (15)
Related Citation (15)

Download: PDF (1406 KB)
Export: BibTeX | EndNote (RIS)

Abstract

To reduce the energy consumption in wireless access networks, a Cooperative Energy-Saving Mechanism based on Benders Decomposition (BD-CESM) is presented to solve inadequate coverage problem caused by BS dormancy by means of cooperative BS selection and BS state control. A cooperative BS selection model is designed to obtain appropriate cooperative BS and corresponding dormant BS according to the traffic load distribution and the spatial varying SINR. Then a Benders decomposition based joint optimization strategy is proposed to balance capacity with throughout via controlling on-off state of BS. The simulation results show that up to 42.6% of BS can be dormant while meeting basic network performance requirements. Furthermore, the coverage can be compensated without increasing transmitting power in the proposed mechanism.

Key words： Wireless network Energy consumption Benders decomposition Cooperative BS Joint optimization strategy

Received: 20 April 2016 Published: 09 October 2016

PACS:

TN915.07

Fund:

The National 863 Program of China (2014AA01A701), The National Natural Science Foundation of China (61271187)

Corresponding Authors: LI Wenjing E-mail: wjli@bupt.edu.cn

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHENG Fei
	LI Wenjing
	YU Peng
	FENG Lei
	MENG Luoming

Cite this article:

ZHENG Fei,LI Wenjing,YU Peng等. Benders Decomposition Based Cooperative Energy-saving Mechanism in Wireless Networks[J]. JEIT, 2017, 39(2): 367-373.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160387 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I2/367

[1]	WANG Yapeng, YANG Xu, and YANG Liang. Dynamic CoMP configuration for OFDMA networks under different user traffic scenarios[C]. Software, Telecommunications and Computer Networks (SoftCOM), 2015 23rd International Conference, Split, 2015: 274-279. doi: 10.1109/SOFTCOM. 2015.7314084.
[2]	LANDOU S and BARRETO A. Use of CoMP in 4G cellular networks for increased network energy efficiency[C]. International Workshop on Telecommunications (IWT), Santa Rita do Sapucai, 2015: 1-6. doi: 10.1109/IWT. 2015.7224568.
[3]	刘文佳, 韩圣千, 杨晨阳. 异构网中的高能效混合协作传输方法[J]. 电子与信息学报, 2013, 35(8): 1989-1996. doi: 10.3724/ SP.J.1146.2012.01506.
	LIU Wenjia, HAN Shengqian, and YANG Chenyang. High energy efficient hybrid cooperative transmission strategy in heterogeneous networks[J]. Journal of Electronics & Information Technology, 2013, 35(8): 1989-1996. doi: 10.3724/SP.J.1146.2012.01506.
[4]	王达, 张晓宁, 依那, 等. 多小区蜂窝网络波束成形优化策略[J]. 电子与信息学报, 2014, 36(8): 1779-1785. doi: 10.3724/SP.J.1146.2013.01579.
	WANG Da, ZHANG Xiaoning, YI Na, et al. Collaborative beamforming in multicell systems[J]. Journal of Electronics & Information Technology, 2014, 36(8): 1779-1785. doi: 10.3724/SP.J.1146.2013.01579.
[5]	NIU Zhisheng, ZHOU Sheng, and HUA Yao. Energy-aware network planning for wireless cellular system with Inter-cell cooperation[J]. IEEE Transactions on Wireless Communications, 2012, 11(4): 1412-1423. doi: 10.1109/TWC. 2012.021412.110147.
[6]	CAO Dongxu, ZHOU Sheng, and NIU Zhisheng. Optimal base station density for energy-efficient heterogeneous cellular networks[C]. IEEE International Conference on Communications (ICC), Ottawa, 2012: 4379-4383. doi: 10. 1109/ICC.2012.6364656.
[7]	DUFKOVA’ K, BJELICAZ M, MOONY B, et al. Energy savings for cellular network with evaluation of impaction data traffic performance[C]. European Wireless Conference, Lucca, 2010: 916-923. doi: 10.1109/EW.2010.5483431.
[8]	PENG Chunyi, LU Songwu, and LUO Haiyun. GreenBSN: enabling energy-proportional cellular base station networks[J]. IEEE Transactions on Mobile Computing, 2014, 13(11): 2537-2551. doi: 10.1109/TMC.2014.2307322.
[9]	HASAN Z, BOOSTANIMEHR H, and BHARGAVA V. Green cellular networks: a survey some research issues and challenges[J]. IEEE Communications Surveys & Tutorials,2011,13(4): 524-540. doi: 10.1109/SURV.2011.092311.00031.
[10]	HAN Feng, SAFAR Z, and LIU K. Energy-efficient base-station cooperative operation with guaranteed QoS[J]. IEEE Transactions on Communications,2013,61(8): 3505- 3517. doi: 10.1109/TCOMM.2013.061913.120743.
[11]	CILI G, YANIKOMEROGLU H, and YU F. Cell switch off technique combined with coordinated multi-point (CoMP) transmission for energy efficiency in beyond-LTE cellular networks[C]. IEEE ICC'12 Workshop on Green Communications and Networking, Ottawa, 2012: 5931-5935. doi: 10.1109/ICC.2012.6364869.
[12]	JANG H and HUANG P. Adaptive energy saving strategy for LTE-advanced networks[C]. 2015 Seventh International Conference on Ubiquitous and Future Networks, Sapporo, 2015: 306-310. doi: 10.1109/ICUFN.2015.7182555.
[13]	GARCIA I D, KUSASHIMA N, SAKAGUCHI K, et al. Impact of base station cooperation on cell planning[J]. EURASIP Journal on Wireless Communications and Networking, 2010, 2010(1): 1-17. doi: 10.1155/2010/406749.
[14]	LI Wenjing, YU Peng, YIN Mengjun, et al. A distributed cell outage compensation mechanism based on RS power adjustment in LTE networks[J]. China Communications, 2014, 11(13): 40-47. doi: 10.1109/CC.2014.7022524.
[15]	QIAN Liping, ZHANG Yingjun, WU Yuan, et al. Joint base station association and power control via Benders’ decomposition[J]. IEEE Transactions on Wireless Communications, 2013, 12(4): 1651-1665. doi: 10.1109/ TWC.2013.022113.120470.