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Energy Efficiency of Backhauling Options for Future Heterogeneous Networks

  • Nasir FarukEmail author
  • Abubakar Abdulkarim
  • Nazmat T. Surajudeen-Bakinde
  • Segun I. Popoola
Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

Deployment of heterogeneous networks (HetNets) is a veritable solution to the challenges of coverage and capacity in meeting the unprecedented future mobile data traffic. However, the high density of small base stations (SBS) in future HetNets may increase the complexity of backhauling with higher capital expenditure (CAPEX), operating expenditure (OPEX), and energy cost. In this paper, a comprehensive review of various backhauling options for future HetNet is provided. For a HetNet system of seven SBS scenario, the efficiencies of the backhauling technologies are evaluated based on power consumption analysis. The implementation of energy-efficient microwave communication links is also considered based on realistic power consumption. Findings show that massive MIMO (M-MIMO) backhauling system consumes the highest power at maximum load. Power consumption in M-MIMO tends to rise as the number of transmitting antennas increases. In the same vein, power consumption in self-backhauling is relatively high when compared with conventional backhauling systems such as the microwave point-to-point (P2P) and point-to-multipoint (P2MP). On the other hand, total power consumed by satellite hub site, fiber optics, and cloud radio access network (CRAN) technologies are found to be relatively low (271.0571, 96.8083 and 90.1920 W, respectively). Fiber optics, CRAN, satellite hub site, and P2MP backhauling options proved to be more energy efficient in a decreasing order, when coverage and capacity are considered. The contribution of this work will help mobile network operators (MNO) in better decision making toward achieving a sustainable backhauling in future HetNet deployments.

Keywords

Backhaul technologies Small cells Heterogeneous networks Energy efficiency 

References

  1. 1.
    Ghosh A et al (2012) Heterogeneous cellular networks: from theory to practice. IEEE Commun Mag 50(6)CrossRefGoogle Scholar
  2. 2.
    Soh YS et al (2013) Energy efficient heterogeneous cellular networks. IEEE J Sel Areas Commun 31(5):840–850CrossRefGoogle Scholar
  3. 3.
    Faruk N et al (2016) Energy savings through self-backhauling for future heterogeneous networks. Energy 115:711–721CrossRefGoogle Scholar
  4. 4.
    Spagnuolo A et al (2015) Monitoring and optimization of energy consumption of base transceiver stations. Energy 81:286–293CrossRefGoogle Scholar
  5. 5.
    Deruyck M et al (2011) Modelling and optimization of power consumption in wireless access networks. Comput Commun 34(17):2036–2046CrossRefGoogle Scholar
  6. 6.
    Zhang Z et al (2015) Large-scale MIMO-based wireless backhaul in 5G networks. IEEE Wirel Commun 22(5):58–66CrossRefGoogle Scholar
  7. 7.
    Jaber M et al (2016) 5G backhaul challenges and emerging research directions: a survey. IEEE Access 4:1743–1766CrossRefGoogle Scholar
  8. 8.
    Tipmongkolsilp O, Zaghloul S, Jukan A (2011) The evolution of cellular backhaul technologies: current issues and future trends. IEEE Commun Surv Tutorials 13(1):97–113CrossRefGoogle Scholar
  9. 9.
    Farias F et al (2016) Cost-and energy-efficient backhaul options for heterogeneous mobile network deployments. Photon Netw Commun 32(3):422–437MathSciNetCrossRefGoogle Scholar
  10. 10.
    Muhammad AI, Mona J, Rahim T (2016) 5G Backhual and research direction: a survey. IEEE Access 1743–1766Google Scholar
  11. 11.
    Laxmi RK (2018) Fibre to the BTS—improving network flexibility & energy efficiency. FLA division study paperGoogle Scholar
  12. 12.
    Tombaz S, Monti P, Wang K, Vastberg A, Forzati M, Zander J (2011) Impact of backhauling power consumption on the deployment of heterogeneous mobile networksGoogle Scholar
  13. 13.
    GSMA (2014) Wireless backhaul spectrum policy recommendations & analysis. ABI Research Technology and Market IntelligenceGoogle Scholar
  14. 14.
    Faruk N et al (2018) Green energy and technology. In: Advances on computational intelligence in Energy; the application of natural-inspired metahueristic Algorithm. Springer, BerlinGoogle Scholar
  15. 15.
    Alcatel-Lucent (2018) Small cells backhaul in strategic white paperGoogle Scholar
  16. 16.
    Oren D (2011) Satellite communication for efficient cellular backhaulGoogle Scholar
  17. 17.
    Evans BG (2014) The role of satellites in 5G. In: Advanced satellite multimedia systems conference and the 13th signal processing for space communications workshop (ASMS/SPSC), 7th 2014. IEEEGoogle Scholar
  18. 18.
    NetWorld’s–SatCom W (2014) The role of satellites in 5G. White paperGoogle Scholar
  19. 19.
    Onireti O et al (2015) The role of satellites in 5GGoogle Scholar
  20. 20.
    Rusek F et al (2013) Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process Mag 30(1):40–60CrossRefGoogle Scholar
  21. 21.
    Larsson EG, Marzetta T, Rusek F (2013) Scaling up MIMO: opportunities and challenges with very large arrays. Sig Process Mag IEEE 30(1):40–60CrossRefGoogle Scholar
  22. 22.
    Hoydis J, Ten Brink S, Debbah M (2013) Massive MIMO in the UL/DL of cellular networks: how many antennas do we need? IEEE J Sel Areas Commun 31(2):160–171CrossRefGoogle Scholar
  23. 23.
    Li B, Zhu D, Liang P (2015) Small cell in-band wireless backhaul in massive MIMO systems: a cooperation of next-generation techniques. IEEE Trans Wire Commun 14(12):7057–7069CrossRefGoogle Scholar
  24. 24.
    Hassan AHM et al (2015) Performance evaluation of qos in wimax network. arXiv preprint arXiv:1506.04902
  25. 25.
    Golshan R (2013) Fixed and mobile WiMAX overviewGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nasir Faruk
    • 1
    Email author
  • Abubakar Abdulkarim
    • 2
  • Nazmat T. Surajudeen-Bakinde
    • 2
  • Segun I. Popoola
    • 3
  1. 1.Department of Telecommunication ScienceUniversity of IlorinIlorinNigeria
  2. 2.Department of Electrical and Electronics EngineeringUniversity of IlorinIlorinNigeria
  3. 3.Department of Electrical and Information EngineeringCovenant UniversityOtaNigeria

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