Pareto optimization for uplink NOMA power control

Balevi E., Gitlin R. D.

17th Annual Wireless Telecommunications Symposium, WTS 2018, Arizona, United States Of America, 18 - 20 April 2018, vol.2018-April, pp.1-5 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2018-April
  • Doi Number: 10.1109/wts.2018.8363931
  • City: Arizona
  • Country: United States Of America
  • Page Numbers: pp.1-5
  • Keywords: Game theory, Pareto optimum, power domain NOMA
  • Middle East Technical University Affiliated: No


© 2018 IEEE.Game theory has been employed in the determination of optimum power levels of nodes for uplink power domain non-orthogonal multiple access (NOMA). In this paper, a novel closed form utility function with an optimized penalty-to-reward parameter ratio is derived whose outcome gives Pareto optimum power levels. The dynamically determined power levels with this utility function have significant advantage over the static equally allocated power levels in terms of the bit error probability in the practical case of imperfect successive interference cancellation (SIC) at the receiver.