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Green communication for cognitive radio networks based on game and utility-pricing theories

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  • Fadhil Mukhlif
  • Kamarul Ariffin Bin Noordin
  • Omar B Abdulghafoor
  • Tengku Faiz Tengku Mohmed Noor Izam

Abstract

The most crucial challenge in the functioning of the wireless networks is the efficient utilization of radio resources. A significant element of resource handling is power regulation. With increasing requirement of wireless data transmission services, it is essential to devise energy harvesting techniques for mobile devices. In this research, a new methodology has been proposed for distributed power regulation in cognitive radio, networks of CR are grounded on non-cooperation game phenomenon and pricing technique. QoS (Quality of service) of the user of CR is anticipated as a beneficial activity through pricing as well as dissemination of energy generating as an unbeneficial game wherein the consumers increase their overall efficacy. The price is defined as an actual function of transmission power to upraise the pricing of the most distant consumers. The proposed mathematical model shows that the proposed game model has a Nash equilibrium and is also unique. Furthermore, in order to make the proposed algorithm valid for green communication within the wireless network, the best response technique was proposed. Finally, simulation results showed that the proposed energy harvesting technique, grounded on a unique function of the utilization, reduces the consumption of transmission power and greatly improves the convergence speed; which are suitable for the vision of the 5G networks.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0235953
    DOI: 10.1371/journal.pone.0235953
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    References listed on IDEAS

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    1. Maharazu Mamman & Zurina Mohd Hanapi & Azizol Abdullah & Abdullah Muhammed, 2019. "Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-22, January.
    2. 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.
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