Micro Base Station Sleeping Cycle Determination Strategy Based on Partially Observed Markov Decision Process Traffic Aware

CHEN Qianbin; HE Xiaoqiang; WU Pan; TANG Lun

doi:10.11999/JEIT170274

Volume 40 Issue 1

Jan. 2018

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CHEN Qianbin, HE Xiaoqiang, WU Pan, TANG Lun. Micro Base Station Sleeping Cycle Determination Strategy Based on Partially Observed Markov Decision Process Traffic Aware[J]. Journal of Electronics & Information Technology, 2018, 40(1): 130-136. doi: 10.11999/JEIT170274

Citation:

CHEN Qianbin, HE Xiaoqiang, WU Pan, TANG Lun. Micro Base Station Sleeping Cycle Determination Strategy Based on Partially Observed Markov Decision Process Traffic Aware[J]. Journal of Electronics & Information Technology, 2018, 40(1): 130-136. doi: 10.11999/JEIT170274

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Micro Base Station Sleeping Cycle Determination Strategy Based on Partially Observed Markov Decision Process Traffic Aware

doi: 10.11999/JEIT170274

Funds:

The National High Technology Research and Development Program of China (2014AA01A701), The National Natural Science Foundation of China (61571073)

Received Date: 2017-03-31
Rev Recd Date: 2017-08-09
Publish Date: 2018-01-19

Abstract

Abstract

In order to solve the problem that the sleeping cycles are difficult to be determined duo to the traffic uncertainty in dense network scenarios, this paper proposes a Micro base station sleeping cycle determination strategy which based on the Partially Observed Markov Decision Process (POMDP) traffic-aware. In this strategy, the sleeping cycle is divided into long cycle and short cycle, and each cycle consists of deep and light stage. Based on the POMDP traffic-aware, it can dynamic adjusting the cycle and determine the proper length of cycle. Both the analytical and simulation results show that compare with sleeping strategy based on the traffic threshold, the base station sleeping strategy based on traffic awareness can effectively reduce the energy consumption of the micro base stations in the dense network by adjusting the sleeping time of the micro base stations in real time.
- Dense network,
- Sleeping strategy,
- Partially Observed Markov Decision Process (POMDP),
- Traffic- aware,
- Long/short sleeping cycle,
- Dynamic adjusting

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References

ISMAIL Muhammad, ZHUANG Weihua, SERPEDIN Erchin, et al. A survey on green mobile networking: From the perspectives of network operators and mobile users[J]. IEEE Communications Surveys Tutorials, 2015, 17(3): 1535-1556. doi: 10.1109/COMST.2014.2367592.

WU Jingjin, ZHANG Yujing, ZUKERMAN Moshe, et al. Energy-efficient base-stations sleep-mode techniques in green cellular networks: A survey[J]. IEEE Communications Surveys Tutorials, 2015, 17(2): 803-826. doi: 10.1109/ COMST.2015.2403395.

COMBES R, ELAYOUBI S E, ALI A, et al. Optimal online control for sleep mode in green base stations[J]. Computer Networks, 2015, 78: 140-151. doi: 10.1016/ COMNET.2014. 10.031.

SAKER L and ELAYOUBI S E. Sleep mode implementation issues in green base stations[C]. 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Istanbul, Turkey, 2010: 1683-1688. doi: 10.1109/PIMRC.2010.5671926.

ALSHARIF M H, NORDIN R, and ISMAIL M. Cooperation management among base stations based on cells switch-off for a green LTE cellular network[J]. Wireless Personal Communications, 2015, 81(1): 303-318. doi: 10.1007/ S11277- 014-2129-9.

HU Jinming, HENG Wei, ZHANG Guodong, et al. Base station sleeping mechanism based on traffic prediction in heterogeneous networks[C]. Telecommunication Networks and Applications Conference, Sydney, NSW, Australia, 2015: 83-87.

JIN Zhe, PAN Zhiwen, LIU Nan, et al. Dynamic pico switch on/off algorithm for energy saving in heterogeneous networks [C]. 2015 IEEE 81st Vehicular Technology Conference, Glasgow, UK, 2015: 1-5.

EBRAHIM Aysha and ALSUSA Emad. Interference minimization through sleep mode based resource allocation for future femtocell networks[C]. 2015 IEEE International Conference on Communications (ICC). London, UK, 2015: 1679-1684.

SON Kyuho, KIM Hongseok, YI Yung, et al. Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks[J]. IEEE Journal on Selected Areas in Communications, 2011, 29(8): 1525-1536. doi: 10.1109/JSAC.2011.110903.

WU Jian, ZHOU Sheng, and NIU Zhisheng. Traffic-aware base station sleeping control and power matching for energy-delay tradeoffs in green cellular networks[J]. IEEE Transactions on Wireless Communications, 2013, 12(8): 4196-4209. doi: 10.1109/TWC.2013.071613.122092.

YU Yuping and FENG Kaiteng. Traffic-based DRX cycles adjustment scheme for 3GPP LTE systems[C]. Vehicular Technology Conference, Yokohama, Japan, 2012: 1-5.

HSU Chunghsien, FENG Kaiteng, and CHANG Chungju. Statistical control approach for sleep-mode operations in IEEE 802.16 m systems[J]. IEEE Transactions on Vehicular Technology, 2010, 59(9): 4453-4466. doi: 10.1109/TVT.2010. 2070086.

GUNTHER A, OLIVER B , VITO G, et al. D2. 3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown[OL]. https://bscw. ict-earth.eu/pub/bscw.cgi/d71252/EARTH_WP2_D2.3_v2.pdf.2010.

WANG Ke, LI Xi, and JI Hong. Traffic-based queue-aware scheduling for 3GPP LTE system[J]. The Journal of China Universities of Posts and Telecommunications, 2014, 21(2): 63-68. doi: 10.1016/S1005-8885(14)60287-9

CASSANDRA A R and KAELBLING L P. Learning policies for partially observable environments: Scaling up[C]. Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, 1995. 362.

冯奇, 周雪忠, 黄厚宽, 等. POMDP 基于点的值迭代算法中一种信念选择方法[J]. 北京交通大学学报, 2009, 33(5): 77-80.

FENG Qi, ZHOU Xuezhong, HUANG Houkuan, et al. POMDP iterative algorithm based on the value of the point of a belief selection method[J]. Journal of Beijing Jiaotong University, 2009, 33(5): 77-80.

EUNSUNG Oh, KYUHO Son, and BHASKAR Krishnamachari. Dynamic base station switching-on/off strategies for green cellular networks[J]. IEEE Transactions on Wireless Communications, 2013, 12(5): 2126-2136. doi: 10.1109/TWC.2013.032013.120494.

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