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Energy Consumption

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Signal Processing Techniques for Power Efficient Wireless Communication Systems

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

It is generally assumed that the analog front-end (AFE) dominates the power consumption of the system. However, in low-power applications the digital block can dominate the consumption of the transceiver. Typical scenarios in the upcoming 5G technologies include ultra-dense small-cell networks, where the distance between the base-station and users is small (or even inexistent), such that low power transmission is sufficient. In this context, the digital signal processing power consumption dominates over the analog power dissipation. In order to handle these new scenarios, in addition to the power dissipated in the AFE it is necessary to take into account the power consumption in the baseband processing. For example, the trade-off between the energy consumed to implement channel coding and the energy saved due to code gain needs to be carefully evaluated. Sometimes, the implementation of coding is not useful in terms of energy efficiency. Digital signal processing and AFE power consumption and scaling of the power consumption of the different devices are addressed in this chapter, considering typical system parameters as transmitted power, operation bandwidth, and modulation size. Energy efficiency (EE) and spectral efficiency (SE) are used to assess the system performance.

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Authors and Affiliations

  1. Dpto. de Ing. Eléctrica y de Computadoras Universidad Nacional del Sur (UNS), Instituto de Inv. en Ing. Eléctrica “Alfredo Desages” (IIIE), UNS-CONICET, Bahía Blanca, Buenos Aires, Argentina

    Fernando Gregorio, Gustavo González, Christian Schmidt & Juan Cousseau

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  1. Fernando Gregorio
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  2. Gustavo González
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  3. Christian Schmidt
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  4. Juan Cousseau
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Gregorio, F., González, G., Schmidt, C., Cousseau, J. (2020). Energy Consumption. In: Signal Processing Techniques for Power Efficient Wireless Communication Systems. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-32437-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-32437-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32436-0

  • Online ISBN: 978-3-030-32437-7

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