Challenges of 5G Green Communication Networks

  • Xiaohu Ge
  • Wuxiong Zhang


The deployment of a large number of small cells poses new challenges to energy efficiency, which has often been ignored in fifth generation (5G) cellular networks. While massive multiple-input multiple outputs (MIMO) will reduce the transmission power at the expense of higher computational cost, the question remains as to which computation or transmission power is more important in the energy efficiency of 5G small cell networks. Thus, the main objective in this chapter is to investigate the computation power based on the Landauer principle. Simulation results reveal that more than 50% of the energy is consumed by the computation power at 5G small cell base stations (BSs). Moreover, the computation power of 5G small cell BS can approach 800 W when the massive MIMO (e.g., 128 antennas) is deployed to transmit high volume traffic. This clearly indicates that computation power optimization can play a major role in the energy efficiency of small cell networks.


  1. 1.
    Ge, X., S. Tu, G. Mao, C.X. Wang, and T. Han. 2016. 5G ultra-dense cellular networks. IEEE Wireless Communications 23 (1): 72–79.CrossRefGoogle Scholar
  2. 2.
    Andrews, J.G., et al. 2014. What will 5G be? IEEE Journal on Selected Areas in Communications 32 (6): 1065–1082.MathSciNetCrossRefGoogle Scholar
  3. 3.
    Yang, C., J. Li, and M. Guizani. 2016. Cooperation for spectral and energy efficiency in ultra-dense small cell networks. IEEE Wireless Communications 23 (1): 64–71.CrossRefGoogle Scholar
  4. 4.
    Samarakoon, S., M. Bennis, W. Saad, M. Debbah, and M. Latva-aho. 2016. Ultra dense small cell networks: Turning density into energy efficiency. IEEE Journal on Selected Areas in Communications 34 (5): 1267–1280.CrossRefGoogle Scholar
  5. 5.
    Kwon, B., S. Kim, H. Lee, and S. Lee. 2015. A downlink power control algorithm for long-term energy efficiency of small cell network (in English). Wireless Networks 21 (7): 2223–2236.CrossRefGoogle Scholar
  6. 6.
    Liu, C., B. Natarajan, and H. Xia. 2016. Small cell base station sleep strategies for energy efficiency. IEEE Transactions on Vehicular Technology 65 (3): 1652–1661.CrossRefGoogle Scholar
  7. 7.
    Choi, J. 2015. Energy efficiency of a heterogeneous network using millimeter-wave small-cell base stations. In 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 293–297.Google Scholar
  8. 8.
    Björnson, E., L. Sanguinetti, and M. Kountouris. 2016. Deploying dense networks for maximal energy efficiency: Small cells meet massive MIMO. IEEE Journal on Selected Areas in Communications 34 (4): 832–847.CrossRefGoogle Scholar
  9. 9.
    Xiao, M., et al. 2017. Millimeter wave communications for future mobile networks. IEEE Journal on Selected Areas in Communications 35 (9): 1909–1935.CrossRefGoogle Scholar
  10. 10.
    Koenig, S., et al. 2013. Wireless sub-THz communication system with high data rate (in English). Nature Photonics 7 (12): 977–981.CrossRefGoogle Scholar
  11. 11.
    Zhong, Y., T.Q.S. Quek, and X. Ge. 2017. Heterogeneous cellular networks with spatio-temporal traffic: Delay analysis and scheduling. IEEE Journal on Selected Areas in Communications 35 (6): 1373–1386.CrossRefGoogle Scholar
  12. 12.
    Berut, A., A. Arakelyan, A. Petrosyan, S. Ciliberto, R. Dillenschneider, and E. Lutz. 2012. Experimental verification of Landauer’s principle linking information and thermodynamics. Nature 483 (7388): 187–189. (03/08/print 2012).CrossRefGoogle Scholar
  13. 13.
    Izydorczyk, J. 2010. Three steps to the thermal noise death of Moore’s law. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18 (1): 161–165.CrossRefGoogle Scholar
  14. 14.
    Desai, S.B., et al. 2016. MoS2 transistors with 1-nanometer gate lengths. Science 354 (6308): 99–102.CrossRefGoogle Scholar
  15. 15.
    Qiu, C., Z. Zhang, M. Xiao, Y. Yang, D. Zhong, and L.-M. Peng. 2017. Scaling carbon nanotube complementary transistors to 5-nm gate lengths. Science 355 (6322): 271–276.CrossRefGoogle Scholar
  16. 16.
    Chiriac, V., S. Molloy, J. Anderson, and K. Goodson. 2016. A figure of merit for mobile device thermal management. In 2016 15th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), 1393–1397.Google Scholar
  17. 17.
    Auer, G., et al. 2011. Energy efficiency analysis of the reference systems, areas of improvements and target breakdown. Tech. Rep. ICT-EARTH deliverable, Tech. Rep 2011.Google Scholar
  18. 18.
    Desset, C., et al. 2012. Flexible power modeling of LTE base stations. In Wireless Communications and Networking Conference (WCNC), 2012 IEEE, 2858–2862.Google Scholar
  19. 19.
    Landauer, R. 1961. Irreversibility and heat generation in the computing process. IBM Journal of Research and Development 5 (3): 183–191.MathSciNetCrossRefGoogle Scholar
  20. 20.
    Cockshott, W.P., P. Cockshott, L.M. Mackenzie, and G. Michaelson. 2012. Computation and its limits. Oxford University Press.Google Scholar
  21. 21.
    Lambson, B., D. Carlton, and J. Bokor. 2011. Exploring the thermodynamic limits of computation in integrated systems: Magnetic memory, nanomagnetic logic, and the Landauer limit. Physical Review Letters 107 (1): 010604 (07/01/2011).Google Scholar
  22. 22.
    Zhirnov, V., R. Cavin, and L. Gammaitoni. 2014. Minimum energy of computing, fundamental considerations (ICT-energy-concepts towards zero—Power information and communication technology).Google Scholar
  23. 23.
    Bennett, C.H. 2003. Notes on Landauer’s principle, reversible computation, and Maxwell’s Demon. Studies in History and Philosophy of Modern Physics 34B (3): 501–510.MathSciNetCrossRefGoogle Scholar
  24. 24.
    Mammela, A., and A. Anttonen. 2017. Why will computing power need particular attention in future wireless devices? IEEE Circuits and Systems Magazine 17 (1): 12–26.CrossRefGoogle Scholar
  25. 25.
    Moritz, A.R., and F.C. Henriques. 1947. Studies of thermal injury: II. The relative importance of time and surface temperature in the causation of cutaneous burns. The American Journal of Pathology 23 (5): 695–720.Google Scholar
  26. 26.
    Mohan, J., D. Purohith, M. Halpern, and V.C.V.J. Reddi. 2017. Storage on your smartphone uses more energy than you think. Screen 38: 37.0.Google Scholar
  27. 27.
    Ogawa, T., K. Ito, and K. Matsushima. 2013. Hardware platform supporting smartphones. Fujitsu Scientific & Technical Journal 49 (2): 231–237.Google Scholar

Copyright information

© Publishing House of Electronics Industry, Beijing and Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xiaohu Ge
    • 1
  • Wuxiong Zhang
    • 2
  1. 1.School of Electronic Information and CommunicationsHuazhong University of Science and TechnologyWuhanChina
  2. 2.Shanghai Research Center for Wireless CommunicationsShanghaiChina

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