Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

November Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the November 2021 Edition of the journal. The last date of research paper submission is October 15, 2021.

Energy-Efficient Planning Tool for WCDMA Heterogeneous Network Deployment

A. A. Ayeni, N. Faruk, K. A. Sadiq Published in Wireless

International Journal of Applied Information Systems
Year of Publication: 2014
© 2014 by IJAIS Journal
10.5120/ijais14-451101
Download full text
  1. A A Ayeni, N Faruk and K A Sadiq. Article: Energy-Efficient Planning Tool for WCDMA Heterogeneous Network Deployment. International Journal of Applied Information Systems 6(8):30-36, February 2014. BibTeX

    @article{key:article,
    	author = "A. A. Ayeni and N. Faruk and K. A. Sadiq",
    	title = "Article: Energy-Efficient Planning Tool for WCDMA Heterogeneous Network Deployment",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 6,
    	number = 8,
    	pages = "30-36",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

The population of powerful mobile network technologies has increased in recent years also focus has been shifting from second generation mobile to third generation technology. This higher access rates have led to increased energy consumption in base stations (BTS) and network densities have been constantly growing. This paper developed an energy efficient planning tool for analytical modeling of heterogeneous networks and observed the potential energy savings statistics when deploying heterogeneous networks. A model developed from wcdma downlink equation was used in determining the energy consumption per unit area of the network. The model was also used to observe how heterogeneous network deployment contributes to the total energy consumption of the network. The result was presented in three scenarios. The first scenario presented the daily energy consumption per square kilometer and it was observed that the energy consumption by the macrocell decreases when increasing the ratio of femtocells in the network. However, the introduction of femtocells to the network ordinarily does not gauranty decrease in energy consumption the scenario depends on the power budget of the femtocells as presented in second and third scenarios where power budget of 2 W and 5 W were used respectively. By introducing femtocell of low power budget into the network, the density of the network reduces therefore, bringing about reasonable reduction in the total power consumption of the network. To that end, this research developed software that helps to observe the total energy that could be saved when deploying heterogeneous networks.

Reference

  1. Malmodin J, Moberg A, Lunden D, Finnveden G and L¨ovehagen N, 2010 “Greenhouse Gas Emissions and Operational Electricity Use in the ICT and Entertainment & Media Sectors” Journal of Industrial Ecology, vol. 14 issue 5, pp. 770–790, October 2010.
  2. Pickavet M, Vereecken W, Demeyer S, Audenaert P, Vermeulen B, Develder D, Colle B, Dhoedt B and Demeester P, 2008, “Worldwide energy needs for ICT: The rise of power-aware networking” 2nd International Symposium on Advanced Networks and Telecommunication Systems (ANTS 2008), pp. 1–3, December 2008.
  3. Cisco Visual Networking Index : Global Mobile Data Traffic Forecast Update 2010 – 2015”. Tech.rep, Cisco Febuary 2011.
  4. Maliha Urooj Jada, 2011, “Energy efficiency techniques & challenges for mobile access networks,” Master's Thesis submitted in partial fulfillment of the degree of Master of Science Espoo, May, 2011.
  5. Faruk N, Ayeni A.A, Muhammed M.Y, Abdulkarim A and Moses O, 2012 “Hybrid power systems for cell sites in mobile cellular networks” journal of selected areas in renewable and sustainable energy (JRSE). Cyber multidisciplinary journals, Canada. Vol. 3, No. 1, pp 8-12, 2012.
  6. Faruk N, Ayeni A.A, Muhammed M.Y, Abdulkarim A and Moses O, 2013 “ Techniques for minimizaing power consumption of base transceivers station in mobile cellular systems” international journal of sustainability (IJS) Vol. 2, No.1, 2013.
  7. Holma, H and Toskala A, 2004, “ WCDMA for UTMS,” Third Edition, John Wiley & Sons, pp. 99-148.
  8. Broadband Planner available at http://rsl.ece.ubc.ca/planning.html Visited on 29/1/2013
  9. Radio Network Planning and Optimization Software available at http://www.akosim.com/` Visited on 29/1/2013.
  10. Heterogeneous networks available at http://www.profheath.org/research/heterogenous-networks/femtocells/ visited on 2/2/2013.
  11. http://msdn.microsoft.com/en-us/library/dd831853(v=vs.100).aspx visited on 3/7/2013.
  12. http://office.microsoft.com/en-us/support/getting-started-with-office-2010-FX101822272.aspx visited on 3/7/2013.
  13. Noise density available at http://en.wikipedia.org/wiki/ noice density visited on 15/1/20134
  14. Faruk N, Ayeni A.A and Adediran Y.A, 2013 “Impact of path loss models on spatial tv white space” European scientific journal, vol. 4, pp.543-547,2013.
  15. Faruk N, Adediran Y.A and Ayeni A.A, 2013 “ on the study of empirical path loss models for accurate prediction of tv signal for secondary users” progress in electromagnetic research (PIER) B, USA, Vol. 49, pp.155-176, 2013.
  16. Faruk N, Ayeni A.A and Adediran Y.A, 2013 “ error bounds of empirical path loss models at vhf/uhf bands in kwara state, Nigeria” in proc. IEEE Region 8, EUROCON Conference, Croatia July 1st-4th,2013 pp.602-607
  17. 3GPP: LTE: 3rd Generation Partnership Project: Technical Specification Group Radio Access Network: Evolved Universal Terrestrial Radio Access (E-UTRA): User Equipment (UE) radio transmission and reception (TS 36.101 v9.1.0 Release 9) 2009.
  18. Louhi J. T., 2007, “Energy efficiency of modern cellular base stations” in Proc. of 29th Internet telecommunication energy conference (INTELEC 2007), Rome,Italy, pp. 475-476, September,2007.
  19. Zhou S, Gong J, Yang Z, Niu Z, Yang P, 2009,“Green Mobile Access Network with Dynamic Base Station Energy Saving”. MobiCom’09, Beijing, China, Sept 2009.
  20. Correia L, Zeller D, Blume O, Ferling D, Jading Y, Godor I, Auer G, Van Der Perre L, 2010, “Challenges and enabling technologies for energy aware mobile radio networks” Communications Magazine, IEEE, vol.48 no.11 pp. 66 –72, 2010.
  21. Ashraf I, Ho L. T. W, and Claussen H, 2010,“Improving energy efficiency of femtocell base stations via user activity detection” in Proc. of IEEE WCNC’2010, 2010.
  22. Faruk N, Ayeni A.A, Muhammad M. Y, Olawoyin L.A, Abdulkarim A, Agbakoba J, Moses O, 2012 ” Techniques For Minimizing Power Consumption Of Base Transceivers Station in Mobile Cellular Systems” Accepted for Publication March 2012, International Journal of Engineering and Technology, IJET UK Publication
  23. 4x4 communication UHF CB Radio available at http://goc.gracecre.org.au/index.php?option=com content&itemid=6 visited on 22/1/2013.
  24. Jada M, Hämäläinen J, Jäntti R, Hossain M. M. A, 2010, “Impact of Femtocells to the WCDMA Network Energy Efficiency”. IEEE IC-BNMT, China, October 2010.
  25. Faruk N, Muhammad M. Y, Bello O. W, Abdulkarim A, John A and Gumel M, 2012, ” Energy Conservation Through Site Optimization For Mobile Cellular Systems” Epistemic in Science, Engineering and Technology (ESET) Canada, 2012, Vol 2, No 1, 2012, Page 26-33
  26. Faruk N and Gume M.I, 2011, “3G Network Initial Pilot Coverage Design and Optimization,” book published by LAP Lambert Academic Publishing GmBH & Co. KG, Germany, 2011, ISBN 978-3-84439789-1

Keywords

Energy Efficiency, Femtocell, Load Sharing, Macrocell, Power Consumption