Analysis of Power Allocation for NOMA-Based D2D Communications Using GADIA

The new era of IoT brings the necessity smart synergy for diverse communication and computation entities. two extremes are, on one hand, 5G Ultra-Reliable Low-Latency Communications (URLLC) required Industrial (IIoT) Vehicle (V2V, V2I, V2X). While other Ultra-Low Power, Wide-Range, Low Bit-rate Communications, such as Sigfox, LoRa/LoRaWAN, NB-IoT, Cat-M1, etc.; used metering, logistics, monitoring, alarms, tracking applications. This extreme variety diversity must work in synergy, all inter-operating/inter-working with Internet. solutions mutually cooperate, but there be a broader sense that includes various processing storage capabilities from edge cloud to deep-cloud. In this paper, we consider non-orthogonal multiple access (NOMA)-based device (D2D) system coexisting cellular network utilize Greedy Asynchronous Distributed Interference Avoidance Algorithm (GADIA) dynamic frequency allocation strategy. We analyze max–min fairness optimization problem energy budget constraints provide reasonable boundary rate downlink devices users given total transmit power. A comprehensive simulation numerical evaluation is performed. Further, compare performance maximum achievable efficiency (EE) at spectral (SE) while employing NOMA orthogonal frequency-division (OFDMA).