Sleep mode design for green base stations

Sleep mode design for green base stations

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In this study, the potential of reducing radio base station operational energy consumption is discussed in terms of deploying sleep modes. By periodically switching off the base station transmission, or using fewer transmit antennas, the energy consumption of base station hardware decreases. By delivering less control signalling overhead, the radio frequency energy consumption can also be reduced. Taking the long-term evolution system as an example, up to 90% radiated energy reduction can be obtained in low traffic conditions by employing time-domain optimisation in each radio frame. The optimum on/off duty cycle is derived, enabling the energy consumption of the base station to scale with traffic load. In the spatial domain, an antenna selection criterion is proposed, indicating the most energy-efficient antenna configuration as a function of users' locations and quality of service requirements. Without time-domain sleep modes, using fewer transmitter antennas could outperform full antenna transmission. However, with time-domain sleep modes, using all available antennas is generally the most energy-efficient choice.


    1. 1)
    2. 2)
    3. 3)
      • Videv, S., Haas, H., Thompson, J., Grant, P.: `Energy-efficient scheduling and bandwidth-energy efficiency tradeoff with low load', IEEE Int. Conf. on Communications, Japan 2011, Kyoto
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • Optimal energy saving in cellular access networks
    8. 8)
      • Gong, J., Zhou, S., Niu, Z., Yang, P.: `Traffic-aware base station sleeping in dense cellular networks', 18thInt. Workshop on Quality of Service, 2010, p. 1–2
    9. 9)
      • Vodafone: ‘Additional information for the rationale’. 3GPP TSG-SA5 Document S5-092949, Ireland, 2009, available at
    10. 10)
      • Smart MIMO: An energy aware adaptive MIMO-OFDM radio link control for next generation wireless local area networks
    11. 11)
    12. 12)
    13. 13)
      • Vodafone: ‘Vodafone UK corporate responsibility 2008’ (Vodafone, 2008), available at
    14. 14)
    15. 15)
      • Richter, F., Fehske, A.J., Fettweis, G.P.: `Energy efficiency aspects of base station deployment strategies for cellular networks', IEEE 70th Vehicular Technology Conf., Fall, 2009, Anchorage
    16. 16)
      • Arnold, O., Richter, F., Fettweis, G., Blume, O.: `Power consumption modeling of different base station types in heterogeneous cellular networks', Proc. Future Network and Mobile Summit 2010 Conf., 2010, available at
    17. 17)
      • LTE for UMTS, OFDMA and SC-FDMA based radio access
    18. 18)
      • ‘Energy saving techniques to support low load scenarios’ (Huawei, USA, 2010), available at
    19. 19)
      • Obata, Y.: `Plenary talk: creative destruction in broadband', IEEE Int. Conf. on Communications, 2010, Miami, USA
    20. 20)
      • Overview of the 3GPP long term evolution physical layer
    21. 21)
      • Love, R., Kuchibhotla, R., Ghosh, A., Ratasuk, R., Classon, B., Blankenship, Y.: `Downlink control channel design for 3GPP LTE', IEEE Wireless Communications and Networking Conf., 2008, Las Vegas, USA
    22. 22)
      • Mogensen, P., Na, W., Kovács, I.Z.: `LTE capacity compared to the shannon bound', IEEE 65th Vehicular Technology Conf., 2007, Dublin, Ireland
    23. 23)
      • Ericsson: ‘LS on Intra-eNB energy saving solutions’ (Ericsson, Spain, 2010), available at
    24. 24)
      • ‘WINNER II channel models, part i: channel models’. WINNER Deliverable D1.1.2, 2007, available at
    25. 25)
      • LTE – the UMTS long term evolution: from theory to practice
    26. 26)
      • 3G evolution: HSPA and LTE for mobile broadband
    27. 27)
      • Papadias, C.: `On the spectral efficiency of space-time spreading schemes for multiple antenna CDMA systems', Conf. Record of the 33rd Asilomar Conf. on Signals, Systems, and Computers, 1999, 1, p. 639–643
    28. 28)
      • Laselva, D., Capozzi, F., Frederiksen, F., Pedersen, K.I., Wigard, J., Kovacs, I.Z.: `On the impact of realistic control channel constraints on QoS provisioning in UTRAN LTE', IEEE 70th Vehicular Technology Conf., Fall, 2009, Anchorage
    29. 29)
      • Ghosh, A., Ratasuk, R.: ‘Hybrid automatic repeat request indicator channel’ (Steepest Ascent Ltd., 2010), available at
    30. 30)

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