Abstract
Sleep mode techniques for small base stations bring benefits to improving the energy efficiency of Dense Heterogeneous Cellular Network. However, in the traditional sleep mode algorithms, it’s hard to wake up sleeping base station accurately. In this paper, we proposed a Hybrid-Distributed base station Wake-up Algorithm (HDWA), which wakes up sleeping base station using macro-assisted and adjacent-assisted methods based on Cluster Technology. In the face of complex changes in the network environment, the proposed algorithm save system energy while ensuring users’ Quality of Service. The simulation results show that HDWA can improve the energy efficiency effectively while maintaining the average throughput compared with the baseline algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ashraf, I., Boccardi, F., Ho, L.: Sleep mode techniques for small cell deployments. IEEE Commun. Mag. 49(8) (2011)
Koudouridis, G.P., Li, H.: Distributed power on-off optimisation for heterogeneous networks-a comparison of autonomous and cooperative optimisation. In: IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2012, pp. 312–317. IEEE (2012)
Li, W., Zheng, W., Xie, Y., et al.: Clustering based power saving algorithm for self-organized sleep mode in femtocell networks. In: 15th International Symposium on Wireless Personal Multimedia Communications (WPMC) 2012, pp. 379–383. IEEE (2012)
Ternon, E., Agyapong, P., Hu, L., et al.: Energy savings in hetero-geneous networks with clustered small cell deployments. In: 11th International Symposium on Wireless Communications Systems (ISWCS) 2014, pp. 126–130, IEEE (2014)
Zhang, S., Gong, J., Zhou, S., et al.: How many small cells can be turned off via vertical offloading under a separation architecture? IEEE Trans. Wireless Commun. 2015(10), 5440–5453 (2015). (07114343)
Cai, S., Che, Y., Duan, L., et al.: Green 5G heterogeneous networks through dynamic small-cell operation. IEEE J. Sel. Areas Commun. 34(5), 1103–1115 (2016). (07389333)
Nan, G., Shi, G., Mao, Z., et al.: CDSWS: coverage-guaranteed distributed sleep/wake scheduling for wireless sensor networks. EURASIP J. Wireless Commun. Netw. 2012(1), 44 (2012). (CDSWS)
Samarakoon, S., Bennis, M., Saad, W., et al.: Opportunistic sleep mode strategies in wireless small cell networks. In: IEEE International Conference on Communications (ICC), 2014, pp. 2707–2712. IEEE (2014). (06883733)
Li, Z., Grace, D., Mitchell, P.: Traffic-aware cell management for green ultra-dense small cell networks. IEEE Trans. Veh. Technol. (2016)
3GPP, Further advancements for E-UTRA physical layer aspects, TR 36.815, V9.0.0
Ternon, E., Agyapong, P.K.: Performance evaluation of macro-assisted small cell energy savings schemes. EURASIP J. Wireless Commun. Netw. 1–23 (2015)
Oh, E., Son, K., Krishnamachari, B.: Dynamic base station switching-on/off strategies for green cellular networks. IEEE Trans. Wireless Commun. 12(5), 2126–2136 (2013)
Thorpe, M., Kottkamp, M., Rössler, A., Schütz, J.: LTE Location Based Services Technology Introduction White paper. Rohde&Schwarz, April 2013
Acknowledgments
The research work reported in this paper is supported by National Science and Technology Major Project (No.2015ZX03001025-2).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Da, L., Wen’an, Z., Jianlong, L., Bingqian, L. (2018). A Hybrid-Distributed Base Station Wake-up Algorithm in Dense Heterogeneous Cellular Networks. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-69811-3_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-69810-6
Online ISBN: 978-3-319-69811-3
eBook Packages: EngineeringEngineering (R0)