Energy- and Spectral-Efficient Wireless Cellular Networks

  • Mustafa Ismael Salman
  • Chee Kyun Ng
  • Nor Kamariah Noordin
Conference paper

DOI: 10.1007/978-3-642-33368-2_15

Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 51)
Cite this paper as:
Salman M.I., Ng C.K., Noordin N.K. (2012) Energy- and Spectral-Efficient Wireless Cellular Networks. In: Rodrigues J.J.P.C., Zhou L., Chen M., Kailas A. (eds) Green Communications and Networking. GreeNets 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 51. Springer, Berlin, Heidelberg

Abstract

The limited spectrum resources and the negative impacts of carbon dioxide emission resulted from inefficient use of wireless technologies have led to the development of green radio. Both the energy and spectral efficiencies should be considered together to meet green radio requirements. In this paper, we investigate the trade-off between energy efficiency and spectral efficiency through different approaches. Cognitive radio is a paradigm-shift technology which is used to increase both the energy and spectral efficiencies. Some efficient spectrum sensing techniques are considered in terms of energy and time consuming. Furthermore, it can be shown that the power control strategies can play a key role in avoiding interference between cognitive and primary users, and hence it can also enhance both the energy and spectral efficiencies. In addition to cognitive radio, a new infrastructure for deploying the cellular base stations which is a heterogeneous infrastructure of macro-, pico-, and femto-cells is proposed to overcome the energy and bandwidth constraints. Further details related to hardware-constraints in a green base station have also been covered.

Keywords

Green radio energy efficiency spectral efficiency cognitive radio spectrum sensing transmit power control heterogeneous networks 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Mustafa Ismael Salman
    • 1
  • Chee Kyun Ng
    • 1
  • Nor Kamariah Noordin
    • 1
  1. 1.Department of Computer and Communication Systems Engineering, Faculty of EngineeringUniversity Putra Malaysia, UPM SerdangMalaysia

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