5G网络中基于覆盖区域优先级的微基站休眠算法

doi:10.11959/j.issn.1000-0801.2022160

Abstract

Abstract:

With the maturity of 5G mobile communication technology and the rapid growth of the number of mobile terminals, the problem of intensive energy consumption of 5G wireless communication system base stations is prominent.A micro base station area hierarchical sleep algorithm was proposed.Considering the impact of micro base station load, inter station distance and inter layer cooperation on micro base station sleep, the transitions number of the micro base station in the overlapping coverage area between macro base stations is less, and the priority sleep operation has a good energy-saving effect.The simulation result shows that the energy-saving rate is 23%, which can adapt to different network sizes, and the energy-saving effect is better in large-scale networks.

Key words: 5G wireless network, base station sleeping, overlapping coverage, system energy consumption

CLC Number:

TN011

Ziren WANG, Yi LI. Micro-station sleeping algorithm based on coverage area priority in 5G network[J]. Telecommunications Science, 2022, 38(7): 88-95.

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References 14

[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.
	LI J , WANG H , WANG X M ,et al. Optimized clustering-based sleep strategy in hyperdense heterogeneous networks[J]. Journal of Southeast University (Natural Science Edition), 2017,47(5): 845-849.
[2]	马晓彤, 金顺福, 刘建平 ,等. 认知无线电网络中的基站节能策略及纳什均衡研究[J]. 通信学报, 2016,37(7): 172-181.
	MA X T , JIN S F , LIU J P ,et al. Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network[J]. Journal on Communications, 2016,37(7): 172-181.
[3]	PHAIWITTHAYAPHORN P , BOONSRIMUANG P , REANGSUNTEA P ,et al. Cell throughput based sleep control scheme for heterogeneous cellular networks[C]// Proceedings of 2017 14th International Conference on Electrical Engineering/Electronics,Computer,Telecommunications and Information Technology (ECTI-CON). Piscataway:IEEE Press, 2017: 584-587.
[4]	DATAESATU A , BOONSRIMUANG P , MORI K Z ,et al. Energy efficiency enhancement in 5G heterogeneous cellular networks using system throughput based sleep control scheme[C]// Proceedings of 2020 22nd International Conference on Advanced Communication Technology (ICACT). Piscataway:IEEE Press, 2020: 549-553.
[5]	DATAESATU A , BOONSRIMUANG P , MORI K Z ,et al. Energy efficiency enhancement in 5G heterogeneous cellular networks using system throughput based sleep control scheme[C]// Proceedings of 2020 22nd International Conference on Advanced Communication Technology (ICACT). Piscataway:IEEE Press, 2020.
[6]	REN P , TAO M X . A decentralized sleep mechanism in heterogeneous cellular networks with QoS constraints[J]. IEEE Wireless Communications Letters, 2014,3(5): 509-512.
[7]	SHEN B , LEI Z Z , HUANG X G ,et al. An interference contribution rate based small cells on/off switching algorithm for 5G dense heterogeneous networks[J]. IEEE Access, 2018,(6): 29757-29769.
[8]	ABDULKAFI A A , KIONG T S , CHIENG D ,et al. Energy efficiency improvements in heterogeneous network through traffic load balancing and sleep mode mechanisms[J]. Wireless Personal Communications, 2014,75(4): 2151-2164.
[9]	DEBAILLIE B , GIRY A , GONZALEZ M J ,et al. Opportunities for energy savings in pico/femto-cell base-stations[J]. 2011 Future Network ＆ Mobile Summit, 2011: 1-8.
[10]	潘子宇, 杨洁, 郭楠 . 基于三维随机几何的小基站蜂窝网络能效分析[J]. 南京工程学院学报(自然科学版), 2019,17(2): 29-32.
	PAN Z Y , YANG J , GUO N . Energy efficiency analysis of small cell networks based on 3-D stochastic geometry[J]. Journal of Nanjing Institute of Technology (Natural Science Edition), 2019,17(2): 29-32.
[11]	QUEK T Q S , CHEUNG W C , KOUNTOURIS M . Energy efficiency analysis of two-tier heterogeneous networks[C]// Proceedings of 17th European Wireless 2011 - Sustainable Wireless Technologies.[S.l.:s.n.], 2011: 1-5.
[12]	3GPP. Potential solutions for energy saving for E-UTRAN (Release 10):TS 36.92V2.0.0[S]. 2011.
[13]	KAWSER M . Downlink SNR to CQI mapping for different multiple antenna techniques in LTE[J]. International Journal of Information and Electronics Engineering, 2012,(3): 21-29.
[14]	3GPP. Physical layer procedures(Release 17):36.213[S]. 2011.

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参数	值
宏基站数量	5
宏基站发射功率	46 dBm
微基站发射功率	40 dBm
宏基站/微基站资源块数量	100/100
宏基站/微基站最大用户数量	80/30
宏基站路损模型	128.1+37.6×lgd
微基站路损模型	140.7+36.7×lgd
信干比阈值	-5 dB

Micro-station sleeping algorithm based on coverage area priority in 5G network

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