A game theory based power control algorithm for future MTC NOMA networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose a power control algorithm dedicated for machine type communications (MTC) in future non-orthogonal multiple access (NOMA) networks employing game theory. In MTC networks, communication reliability should be considered prior to power consumption or energy efficiency. Once the reliability is satisfied, discussions about power consumption makes sense. We build a cost function for each device based on a non-cooperative game model. The cost function reflects the power consumption as well as received signal-to-interference plus noise ratio (SINR) of each device. Since we assume the devices are battery-driven, the objective is to minimize the power consumption as much as possible provided that the received SINR of each device is kept beyond an acceptable level so that the reliability can be guaranteed. We derive the power control algorithm function and prove the convergence of this iteration algorithm and the unique existence of Nash equilibrium as well. The simulation results show that under the same constraints of maximum power consumption and minimum acceptable SINR, the proposed algorithm outperforms the conventional algorithms in terms of power consumption and power efficiency.

Original languageEnglish
Title of host publication2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages203-208
Number of pages6
ISBN (Electronic)9781509061969
DOIs
Publication statusPublished - 2017 Jul 17
Event14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, United States
Duration: 2017 Jan 82017 Jan 11

Other

Other14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
CountryUnited States
CityLas Vegas
Period17/1/817/1/11

Fingerprint

game theory
Game theory
Power control
communications
Electric power utilization
Communication
Cost functions
interference
Telecommunication networks
Energy efficiency
efficiency
costs
energy
simulation
communication

Keywords

  • Game theory
  • Iteration algorithm
  • Machine type communication
  • Non-orthogonal multiple access
  • Power control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Communication

Cite this

Kang, K., Pan, Z., Liu, J., & Shimamoto, S. (2017). A game theory based power control algorithm for future MTC NOMA networks. In 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 (pp. 203-208). [7983106] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2017.7983106

A game theory based power control algorithm for future MTC NOMA networks. / Kang, Kang; Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru.

2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 203-208 7983106.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kang, K, Pan, Z, Liu, J & Shimamoto, S 2017, A game theory based power control algorithm for future MTC NOMA networks. in 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017., 7983106, Institute of Electrical and Electronics Engineers Inc., pp. 203-208, 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, Las Vegas, United States, 17/1/8. https://doi.org/10.1109/CCNC.2017.7983106
Kang K, Pan Z, Liu J, Shimamoto S. A game theory based power control algorithm for future MTC NOMA networks. In 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 203-208. 7983106 https://doi.org/10.1109/CCNC.2017.7983106
Kang, Kang ; Pan, Zhenni ; Liu, Jiang ; Shimamoto, Shigeru. / A game theory based power control algorithm for future MTC NOMA networks. 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 203-208
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