Predictive Analysis Approach for Small Cell Base Station Sleeping Strategies

Predictive Analysis Approach for Small Cell Base Station Sleeping Strategies

© 2022 by IJETT Journal
Volume-70 Issue-11
Year of Publication : 2022
Authors : Nilakshee Rajule, Mithra Venkatesan, Radhika Menon, Anju Kulkarni
DOI : 10.14445/22315381/IJETT-V70I11P229

How to Cite?

Nilakshee Rajule, Mithra Venkatesan, Radhika Menon, Anju Kulkarni, "Predictive Analysis Approach for Small Cell Base Station Sleeping Strategies," International Journal of Engineering Trends and Technology, vol. 70, no. 11, pp. 268-276, 2022. Crossref,

With the rapid growth of the number of base stations (BS), reducing energy consumption and enhancing the stations' energy efficiency (EE) have become important research topics as BSs are the primary energy consumers in cellular networks. BS consumes 100% power even during low-traffic periods. One promising way to reduce power consumption during such periods is to deactivate lightly loaded small cell base stations or switch them to hibernation without compromising the quality of service (QoS) demanded by users. In This paper, the BS sleep mode algorithm proposes to switch the BSs to sleep mode during low traffic periods of a BS. The process starts with predicting the traffic load of BS and identifying the low traffic periods. This predicted traffic load is further used to identify the number of BSs to be kept in on mode and sleep mode for a particular time period. The appropriate BS mode (on, sleep, standby or off). After switching the BS to the desired mode, the power consumption of the BS is calculated. The prediction of traffic load helps BS to avoid frequent switching in case of consecutive low traffic periods, further enhancing energy efficiency. With the proposed BS switching technique 27% reduction in power consumption is achieved. This proposed algorithm can work with dynamic traffic load variations, which will help reduce the power consumption of a small cell BS.

Energy Efficiency, BS sleeping, Predictive Analysis, Small Cell BS, etc.

[1] Y. Xu and J. Chen, "An Optimal Load-Aware Base Station Sleeping Strategy in Small Cell Networks Based on Marginal Utility," 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM), pp. 291-296, 2017. Crossref,
[2] J. Wu, Y. Zhang, M. Zukerman and E. K. N. Yung, "Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey," in IEEE Communications Surveys & Tutorials, vol. 17, no. 2, pp. 803-826, 2015. Crossref,
[3] Syed Waqas Haider Shah, Ahmad Talal Riaz and Zahoor Fatima, "Energy-Efficient Mechanism for Smart Communication in Cellular Networks", 2019 Crossref,
[4] Hernan X. Cordova J., "Energy-Efficiency (EE) Performance for 5G Wireless Systems under the Presence of Hardware Impairments," SSRG International Journal of Electronics and Communication Engineering, vol. 6, no. 8, pp. 31-37, 2019. Crossref,
[5] B. Wang, Q. Kong, W. Liu, and L. T. Yang, "On Efficient Utilization of Green Energy in Heterogeneous Cellular Networks," IEEE System Journal, vol. 11, no. 2, pp. 846–857, 2017. Crossref,
[6] T. Han and N. Ansari, "A Traffic Load Balancing Framework for Software Defined Radio Access Networks Powered by Hybrid Energy Sources," IEEE/ACM Transactions on Networking, vol. 24, no. 2, pp. 1038–1051, 2016. Crossref,
[7] H. Ghazzai, E. Yaacoub, A. Kadri, H. Yanikomeroglu, and M.S. Alouini, "Next-Generation Environment-Aware Cellular Networks: Modern Green Techniques and Implementation Challenges," IEEE Access, vol. 4, pp. 5010–5029, 2016. Crossref,
[8] G. V. Ramanaiah, L. Krishna kavya, P. V. Rajya Lakshmi, V. Sai Kumar and Sk. Shahed Ali, "Optimal Energy Efficiency Through DPSN Based 5G Network," SSRG International Journal of Electronics and Communication Engineering, vol. 7, no. 3, pp. 29-34, 2020. Crossref,
[9] J. Wu, Y. Bao, G. Miao, S. Zhou, and Z. Niu, "Base-station Sleeping Control and Power Matching for Energy-Delay Tradeoffs with Bursty Traffic," IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3657–3675, 2016. Crossref,
[10] Y. Yang, L. Chen, W. Dong, and W. Wang, "Active Base Station Set Optimization for Minimal Energy Consumption in Green Cellular Networks," IEEE Transactions on Vehicular Technology, vol. 64, no. 11, pp. 5340–5349, 2015. Crossref,
[11] N. Yu, Y. Miao, L. Mu, H. Du, H. Huang, and X. Jia, "Minimizing Energy Cost by Dynamic Switching ON/OFF Base Stations in Cellular Networks," IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7457–7469, 2016. Crossref,
[12] C. Peng, S.B. Lee, S. Lu, and H. Luo, "GreenBSN: Enabling Energy Proportional Cellular Base Station Networks," IEEE Transactions on Mobile Computing, vol. 13, no. 11, pp. 2537–2551, 2014. Crossref,
[13] S. Cai, Y. Che, L. Duan, J. Wang, S. Zhou, and R. Zhang, "Green 5G Heterogeneous Networks Through Dynamic Small-Cell Operation," IEEE Journal on Selected Areas in Communications, vol. 34, no. 5, pp. 1103–1115, 2016. Crossref,
[14] M. Feng, S. Mao, and T. Jiang, "BOOST: Base Station ON-OFF Switching Strategy for Energy Efficient Massive MIMO HetNets," in Proceedings of IEEE INFOCOM-35th Annual IEEE International Conference on Computer Communications, pp. 1-9, 2016. Crossref,
[15] J. Gao, Q. Ren, P. S. Gu, and X. Song, "User Association and the Small-Cell Base Station On/Off Strategies for Energy Efficiency of Ultra Dense Networks," Mobile Information Systems, vol. 2019, pp. 1–12, 2019. Crossref,
[16] G. Jang, N. Kim, T. Ha, C. Lee and S. Cho, "Base Station Switching and Sleep Mode Optimization with LSTM-Based User Prediction," in IEEE Access, vol. 8, pp. 222711-222723, 2020. Crossref,
[17] Post, Bart, Borst, Sem and Berg, Hans, "A Self-Organizing Base Station Sleeping and User Association Strategy for Dense Cellular Networks,” Wireless Networks, vol. 27, pp. 1-16, 2021. Crossref,
[18] J. J. Q. Yu and V. O. K. Li, "Base Station Switching Problem for Green Cellular Networks with Social Spider Algorithm," 2014 IEEE Congress on Evolutionary Computation (CEC), pp. 2338-2344, 2014. Crossref,
[19] Kang M.W and Chung Y.W, "An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization," Energies, vol. 10, no. 9, pp. 1417, 2017. Crossref,
[20] Mohammed Yesuf Mohammed, "Green Energy Technique for Seven Cell Long Term Evolution (LTE) Cellular Network," SSRG International Journal of Electronics and Communication Engineering, vol. 6, no. 3, pp. 18-22, 2019. Crossref,
[21] F. Han, S. Zhao, L. Zhang, and J. Wu, "Survey of Strategies for Switching Off Base Stations in Heterogeneous Networks for Greener 5G Systems," IEEE Access, vol. 4, pp. 4959–4973, 2016. Crossref,
[22] C. Liu, B. Natarajan and H. Xia, "Small Cell Base Station Sleep Strategies for Energy Efficiency," in IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp. 1652-1661, 2016. Crossref,