Base Station Energy Efficiency Improvement for Next Generation Mobile Networks

• Autorzy: Mwashita W. , Odhiambo M. O.

Identyfikatory

DOI

10.1515/eletel-2017-0025

• Języki publikacji: EN

Abstrakty

EN

As more and more Base Stations (BSs) are being deployed by mobile operators to meet the ever increasing data traffic, solutions have to be found to try and reduce BS energy consumption to make the BSs more energy efficient and to reduce the mobile networks' operational expenditure (OPEX) and carbon dioxide emissions. In this paper, a BS sleeping technology deployable in heterogeneous networks (HetNets) is proposed. The proposed scheme is validated by using extensive OMNeT++/SimuLTE simulations. From the simulations, it is shown that some lightly loaded micro BSs can be put to sleep in a HetNet when the network traffic is very low without compromising the QoS of the mobile network.

Słowa kluczowe

EN

energy efficiency; Base Station sleeping; CO2 emission; heterogeneous networks; mobile networks; next generation networks; operational expenditure (OPEX)

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2017
• Tom: Vol. 63, No. 2
• Strony: 187--194
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Mwashita W.

• University of South Africa, South Africa

autor

Odhiambo M. O.

• Department of Computer Systems and Process Control at Vaal University of Technology, South Africa

Bibliografia

• [1] Cisco. (2016, Feb). Cisco visual networking index: Global mobile data traffic forecast update, 2015-2020. [Online]. Available:http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.html
• [2] GSMA, “GSMA Global Mobile Economy Report, 2015”.
• [3] Nuclear Energy Agency, “Nuclear Energy: Combating climate change,” Dec. 2015.
• [4] S.C Herring, J. Kossin, M. Hoerling, P. Stott and T. Peterson, “Explaining extreme events of 2014: from a climate perspective.” Special Supplement to the Bulletin of the American Metrological Society, vol. 56 Issue no. 12, Dec. 2015.
• [5] Monster twin tornadoes strike Pilger, Nebraska, Jun. 17 2014, [Online]. Available : www.earthsky.org/earth/monster-twin-tornadoes-strike-pilger-nebrsaka
• [6] A. Bousia, A. Antonopoulos, L. Alonso & C. Verikoukis, “Green” Distance-aware base station sleeping algorithm in LTE- advanced,” in IEEE International Conference on Communications, Ottawa, Canada, Jun. 2012, pp.1347-1351.
• [7] Z. Niu, Y. Wu, J. Gong & Z. Yang, “Cell zooming for cost-efficient Green Cellular Networks,” IEEE Communications Magazine, vol. 48, Issue 11, pp. 74-79, Nov. 2013.
• [8] S. Zhou, J. Gong & Z. Niu, “Sleep control for base stations powered by heterogeneous energy sources,” in International Conference on ICT Convergence (ICTC), Jeju Island, South Korea, Oct. 2013, pp. 666-670.
• [9] K. Son & B. Krishnamachari, “Dynamic base station switching-on/OFF strategies for green cellular networks,” IEEE transactions on wireless communications, vol. 12, Issue 5, pp. 2126-2136, May 2013.
• [10] I. Aydin, H. Yanikomeroglud & U. Aygolu, “User-aware switch-OFF algorithms,” in 11th International Wireless Communications and Mobile Computing Conference (IWCMC), Dubrovnik, Croatia, Aug. 2015, pp. 112-117.
• [11] Wireless Technology: Breaking the limits of the TCO Reduction in Mobile Networks, Frost and Sullivan, 2011 White paper.
• [12] M.H Asharif, R. Nordin & M. Ishmail. “A survey of green radio communication networks: Techniques and recent advances,” Journal of computer networks and communications, 2013, vol. 2013, Article 45389, 13 pages, Hindawi Publishing Corporation, Nov. 2013.
• [13] K. Davaslioglu and E. Ayanoglu, “Quantifying potential energy efficiency gain in Green Wireless Networks,” IEEE Communications Surveys and Tutorials, vol. 16, pp. 2065-2091, Fourth Quarter, 2014.
• [14] A. Conte, A. Feki, L. Chiaraviglio, D. Ciullo, M. Meo & M. A Masan, “Cell wilting and blossoming for energy efficiency,” Wireless Communications, IEEE, vol. 18, Issue 5, pp. 50-57, Oct. 2013.
• [15] W. Mwashita and M.O Odhiambo, “A survey on Base station sleeping technologies for Green Cellular Networks,” International Conference on Wireless Networks, Las Vegas, USA, Jul 2015, pp. 227-233.
• [16] W. Mwashita and M.O Odhiambo, “Designing and analysing a technique to switch ON/OFF Base Stations for Green Cellular networks,” International Journal of Research in Engineering and Technology, vol. 4, Issue 07, Jul 2015, pp. 322-328.
• [17] P. Dini, M. Miozzo, N. Bui & N. Baldo, “A model to analyze the energy savings of base station sleeping in LTE HetNets,” in IEEE International Conference on Green computing and communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, China, Aug. 2013, pp. 1375-1380.
• [18] OMNeT++, An object oriented modular discrete event network simulation framework, 2016. [Online]. Available: https://omnetpp.org
• [19] SimuLTE. LTE User Plane Simulation Model for INET & OMNeT++, [Online]. Available: www.simulte.com
• [20] INET Framework. An open source model suite for wired and wireless mobile networks, Available: https://inet.omnetpp.org

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).