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A Novel Utility Function for Energy-Efficient Power Control Game in Cognitive Radio Networks

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  • Yousef Ali Al-Gumaei
  • Kamarul Ariffin Noordin
  • Ahmed Wasif Reza
  • Kaharudin Dimyati

Abstract

Spectrum scarcity is a major challenge in wireless communications systems requiring efficient usage and utilization. Cognitive radio network (CRN) is found as a promising technique to solve this problem of spectrum scarcity. It allows licensed and unlicensed users to share the same licensed spectrum band. Interference resulting from cognitive radios (CRs) has undesirable effects on quality of service (QoS) of both licensed and unlicensed systems where it causes degradation in received signal-to-noise ratio (SIR) of users. Power control is one of the most important techniques that can be used to mitigate interference and guarantee QoS in both systems. In this paper, we develop a new approach of a distributed power control for CRN based on utility and pricing. QoS of CR user is presented as a utility function via pricing and a distributed power control as a non-cooperative game in which users maximize their net utility (utility-price). We define the price as a real function of transmit power to increase pricing charge of the farthest CR users. We prove that the power control game proposed in this study has Nash Equilibrium as well as it is unique. The obtained results show that the proposed power control algorithm based on a new utility function has a significant reduction in transmit power consumption and high improvement in speed of convergence.

Suggested Citation

  • Yousef Ali Al-Gumaei & Kamarul Ariffin Noordin & Ahmed Wasif Reza & Kaharudin Dimyati, 2015. "A Novel Utility Function for Energy-Efficient Power Control Game in Cognitive Radio Networks," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    • Handle: RePEc:plo:pone00:0135137
    DOI: 10.1371/journal.pone.0135137
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    References listed on IDEAS

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    1. Yousef Ali Al-Gumaei & Kamarul Ariffin Noordin & Ahmed Wasif Reza & Kaharudin Dimyati, 2014. "A New SIR-Based Sigmoid Power Control Game in Cognitive Radio Networks," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-10, October.
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    Cited by:

    1. Fadhil Mukhlif & Kamarul Ariffin Bin Noordin & Omar B Abdulghafoor & Tengku Faiz Tengku Mohmed Noor Izam, 2020. "Green communication for cognitive radio networks based on game and utility-pricing theories," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-21, August.

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