Evolutionary game approach to uplink NOMA random access systems

This letter considers non-orthogonal multiple access (NOMA) as an uplink random access (RA) scheme. User equipments (UEs) in this RA system (re)transmit with some probability by selecting one of the target receive power levels. The packets received at the base station (BS) can be ordered with predetermined target power levels such that the BS can decode them using successive interference cancellation (SIC). We characterize this NOMA RA system using evolutionary game (EG) to show that the proportion of UEs of adopting a specific target power level upon retransmission is identified as evolutionary stable state (ESS).