Abstract
The number of Internet-of-Things (IoT) devices will increase rapidly. In next-generation mobile communication systems, base stations (BSs) must effectively accommodate signals from massive IoT devices. Hence, we have researched a nonorthogonal multiple access (NOMA) uplink system. Although achieving the high efficiency, NOMA probably requires strict transmit power control (TPC) to compensate fading fluctuation. When we employ successive interference cancellation (SIC) as the signal separation method for NOMA, SIC requires that power from each device should differ to recursively demodulate each signal. In case the power of two received signals is the same, the signal separation can hardly be successful. We, therefore, propose the TPC that predicts the future fading condition. The TPC with fading prediction can accurately compensate the fading fluctuation even if the devices move faster. In this paper, the future fading condition is estimated using autoregressive (AR) model. The proposed TPC is evaluated by computer simulation. The simulation shows that the proposed TPC can improve the signal separation probability that signals superimposed by uplink NOMA can be separated. The probability of all 5 devices separation achieves up to 94% thanks to the TPC.
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