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A High Capacity Energy Efficient Approach for Traffic Transmission in Cellular Networks

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The efficiency of cellular networks can be improved in various aspects such as energy consumption, network capacity and interference between neighboring cells. This paper proposes a high capacity energy efficient scheme (HCEE) for data transmission in cellular networks in a country area. In this paper, the authors obtain a new equation to characterize the minimal required output power for traffic transmission between a base station (BS) and a mobile user (MU) based on the MU distance from the BS. Also, the cells boundaries (the boundary of overlapping areas of neighboring cells) by two static and dynamic approaches are specified. This work helps for better frequency allocation to MUs and allows increasing network capacity. In this paper, the analytical modeling in order to formulate the HCEE algorithm and evaluate its performance is used. The performance evaluation results show the simplicity of the HCEE algorithm and its effect on energy consumption decline, network capacity enhancement and the interference reduction.
Rocznik
Tom
Strony
5--12
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
  • Computer Networks Research Lab, Electrical Engineering Technologies Research Center, Sahand University of Technology, Tabriz, Iran
autor
  • Computer Networks Research Lab, Electrical Engineering Technologies Research Center, Sahand University of Technology, Tabriz, Iran
Bibliografia
  • [1] Z. Hasan, H. Boostanimehr, and V. K. Bhargava, “Green cellular networks: A survey, some research issues and challenges”, IEEE Commun. Surv. & Tutor., vol. 13, pp. 524–540, 2011.
  • [2] GreenTouch [Online]. Available: http://www.greentouch.org
  • [3] M. A. Marsan, L. Chiaraviglio, D. Ciullo, and M. Meo, “Optimal energy savings in cellular access networks communications”, in Proc. IEEE Int. Conf. Commun. ICC 2009, Dresden, Germany, 2009, pp. 1–5.
  • [4] O. Arnold, F. Richter, G. Fettweis, and O. Blume, “Power consumption modeling of different base station types in heterogeneous cellular networks”, in Proc. 19th Future Network and Mobile Summit, Florence, Italy, 2010, pp. 1–8.
  • [5] F. R. Dogar, P. Steenkiste, and K. Papagiannaki, “Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices”, in Proc. 8th Int. Conf. Mob. Syst., Appl., and Serv. MobiSys’10, San Francisco, CA, USA, 2010, pp. 107–122.
  • [6] A. Schulman et al., “Bartendr: a practical approach to energy-aware cellular data scheduling”, in Proc. 16th Ann. Int. Conf. Mob. Comput. Netw. MobiCom 2010, Chicago, IL, USA, 2010, pp. 85–96.
  • [7] M.-R. Ra et al., “Energy-delay tradeoffs in smartphone applications”, Proc. 8th Int. Conf. Mob. Syst., Appl., and Serv. MobiSys’10, San Francisco, CA, USA, 2010, pp. 255–270.
  • [8] Z. Niu, Y.Wu, J. Gong, and Z. Yang, “Cell zooming for cost-efficient green cellular networks”, IEEE Commun. Mag., vol. 48, pp. 74–79, 2010.
  • [9] E. Oh, B. Krishnamachari, X. Liu, and Z. Niu, “Toward dynamic energy-efficient operation of cellular network infrastructure”, IEEE Commun. Mag., vol. 49, no. 6, pp. 56–61, 2011.
  • [10] C. Han et al., “Green radio: radio techniques to enable energyefficient wireless networks”, IEEE Commun. Mag., vol. 49, no. 6, pp. 46–54, 2011.
  • [11] Y. Chen, S. Zhang, S. Xu, and G. Y. Li, “Fundamental trade-offs on green wireless networks”, IEEE Commun. Mag., vol. 49, no. 6, pp. 30–37, 2011.
  • [12] G. Miao, N. Himayat, and G. Y. Li, “Energy-efficient link adaptation in frequency-selective channels”, IEEE Trans. Commun., vol. 58, no. 6, pp. 545–554, 2010.
  • [13] G. Y. Li et al., “Energy-efficient wireless communications: tutorial, survey, and open issues”, IEEE Wireless Commun., vol. 18, no. 6, pp. 28–35, 2011.
  • [14] J. Liu, F. Zhao, X. Liu, and W. He, “Challenges towards elastic power management in internet data centers”, in Proc. 29th IEEE Int. Conf. Distrib. Comput. Syst. Worksh. ICDCS 2009, Montreal, Québec, Canada, 2009, pp. 65–72.
  • [15] M. Stansberry, “The green data cente: energy-efficient computing in the 21st century”, 2009 [Online]. Available: http://searchdatacenter.techtarget.com/feature/The-Green-Data- Center-Energy-Efficient-Computing-in-the-21st-Century
  • [16] X. Wang, A. V. Vasilakos, M. Chen, Y. Liu, and T. T. Kwon, “A survey of green mobile networks: Opportunities and challenges”, Mobile Netw. and Appl., vol. 17, no. 1, pp. 4–20, 2012.
  • [17] T. Haynes, “Designing energy-smart 3G base stations”, RF Design, vol. 30, pp. 18–22, 2007.
  • [18] X. Lu, E. Erkip, Y. Wang, and D. Goodman, “Power efficient multimedia communication over wireless channels”, IEEE J. Selec. Areas in Commun., vol. 21, no. 10, pp. 1738–1751, 2003.
  • [19] B. Anand, A. Ananda, M. C. Chan, L. T. Le, and R. K. Balan, “Game action based power management for multiplayer online game”, in Proc. 1st ACM Worksh. Netw., Syst., Appl. Mob. Hand- helds MobiHeld 2009, Barcelona, Spain, 2009, pp. 55–60.
  • [20] H. Claussen, L. T. Ho, and L. G. Samuel, “Self-optimization of coverage for femtocell deployments”, in Proc. Wirel. Telecommun. Symp. WTS 2008, Pomona, CA, USA, 2008, pp. 278–285.
  • [21] M. V. Rali, M. Song, and S. Shetty, “Virtual Wired Transmission scheme using Directional antennas to improve Energy Efficiency in Wireless Mobile Ad-hoc Networks”, in Proc. IEEE Milit. Commun. Conf. MILCOM 2009, Boston, MA, USA, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1faa936e-1ef3-4af8-a0b4-ecae09607630
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