A Method of Energy Optimization Based on Time Series for Cellular Network

doi:10.13190/j.jbupt.2016.03.006

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 39 ›› Issue (3): 39-43.doi: 10.13190/j.jbupt.2016.03.006

• Papers • Previous Articles Next Articles

A Method of Energy Optimization Based on Time Series for Cellular Network

GAO Ling, CHEN Yan, WANG Hai, REN Jie

School of Information Science and Technology, Northwest University, Xi'an 710127, China

Received:2015-11-21 Online:2016-06-28 Published:2016-06-27

Abstract

Abstract:

Aiming at the high energy consumption of mobile terminal under cellular networks, a new energy optimization algorithm balance optimization algorithm (BOA) based on time series is proposed to improve the energy efficiency of smartphones. The proposed algorithm builds the auto-regressive and moving average model for the data blocks in the cellular network, and dynamically adjusts the tail time to achieve the purpose of reducing the energy consumption by predicting the arrival time of the next block. Experiments show that BOA can achieve the average model matching rate up to 93.86%. Compared to traditional fixed-tail algorithm, the BOA enables reduce energy consumption by 42.25%,and analysis shows that the longer smartphones are used, the higher energy efficiency can be achieved.

Key words: cellular network, energy optimization, tail time, auto-regressive and moving average model

CLC Number:

TP302.7

GAO Ling, CHEN Yan, WANG Hai, REN Jie. A Method of Energy Optimization Based on Time Series for Cellular Network[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(3): 39-43.

References

[1] Park Y D, Jung K H, Suh Y J. Improving IEEE 802.11 PSM for smartphones by exploiting hidden tail-time[C]//Network of the Future (NOF), 2013 Fourth International Conference on.[S.l.]:IEEE, 2013:1-3.
[2] Damasevicius R, Stuikys V, Toldinas J. Methods for measurement of energy consumption in mobile devices[J]. Metrology and Measurement Systems, 2013, 20(3):419-430.
[3] Sheng Xiang, Tang Jian, Zhang Weiyi. Energy-efficient collaborative sensing with mobile phones[J]. Proceedings-IEEE INFOCOM, 2012, 131(5):1916-1924.
[4] Schwartz C, Lehrieder F, Wamser F, et al. Smart-phone energy consumption vs 3G signaling load:the influence of application traffic patterns[C]//Digital Communications-Green ICT (TIWDC), 2013 24^th Tyrrhenian International Workshop on.[S.l.]:IEEE, 2013:1-6.
[5] Zhang Di, Zhang Yaoxue, Zhou Yuezhi, et al. Leveraging the tail time for saving energy in cellular networks[J]. IEEE Transactions on Mobile Computing, 2014, 13(7):1-1.
[6] 李文涛, 姜海波, 王雪琴. 自回归模型的多选择方法[J]. 统计与决策, 2010(18):28-33. Li Wentao, Jiang Haibo, Wang Xueqin. Multiple choice method of auto regressive model[J]. Statistics and Decision Making, 2010(18):28-33.
[7] 付卫红, 武少豪, 张凡路, 等. 一种基于ARMA模型的欠定混合快速跳频信号参数盲估计算法[J]. 北京邮电大学学报, 2014(5):16-19. Fu Weihong, Wu Shaohao, Zhang Fanlu, et al. A blind estimation algorithm for fast frequency hopping signals based on ARMA model[J]. Journal of Beijing University of Posts and Telecommunications, 2014(5):16-19.
[8] 王康, 李纪欣. Android平台休眠唤醒机制研究[J]. 计算机工程, 2011(S1):320-323. Wang Kang, Li Jixin. Research on the mechanism of sleep wake in Android platform[J]. Computer Engineering, 2011(S1):320-323.

[1]	. Fog Node Contribution Degree Based Task Offloading Algorithm for Heterogeneous Cellular Network [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(2): 37-42.
[2]	SHEN Bin, LIU Xiao-xiao, HUANG Xiao-ge. User Association Algorithm for Fog Computing Based on Multiple Attribute Decision Making Model [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(4): 68-74.
[3]	WEI Liang, XIE Jun-feng, XIE Ren-chao, HUANG Tao, LIU Yun-jie. A Content Pre-Caching Mechanism Based on Bipartite Graph in Mobile Cellular Network [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(6): 19-23,36.
[4]	TAN Zhi-yuan, CHEN Lei, LI Xi, JI Hong. Jointly Optimize CRE and eICIC in Heterogeneous Cellular Networks with Non-Uniform User Distribution [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(2): 11-15.
[5]	ZHAO Ji-hong, ZHANG Yan-ping, QU Hua, XU Xi-guang. Multi-Objective Joint Optimization Based Mobile Relay Selection Scheme [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(3): 120-125.
[6]	ZHANG Tian-kui, XU Hong-zhang, ZHU Yu-tao, SHI Jun-feng. Topology Potential Based User Association for Heterogeneous Cellular Networks with Renewable Energy Supply [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(5): 113-117.
[7]	YU Peng, CAO Jin-ping, ZHANG Su-xiang, LI Wen-jing. Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for Wireless Cellular Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(1): 46-50.
[8]	GUO Chong-tao, SHENG Min, SHI Yan. A Novel Traffic Transferring Based Load Balancing Scheme in Cellular Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(6): 92-96.
[9]	. An Intelligence Call Admission Control Algorithm for Multi-Class Services on Uplink in Cellular Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(2): 32-36.
[10]	. A hybrid cooperative relay selection algorithm for relay based cellular networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(2): 34-38.

A Method of Energy Optimization Based on Time Series for Cellular Network

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 10

Recommended Articles

Metrics

Comments