Adaptive Rate NOMA for Cellular IoT Networks

Internet-of-Things (IoT) technology is envisioned to enable a variety of real-time applications by interconnecting billions sensors/devices. These IoT devices rely on low-power wide-area wireless connectivity for transmitting, mostly fixed- but small-size, status updates the random processes observed them. Owing their ubiquity, cellular networks are seen as natural candidate providing reliable devices. Given massive number devices, enabling non-orthogonal multiple access (NOMA) mobile users and appealing in terms efficient utilization spectrum compared orthogonal (OMA). For instance, uplink NOMA can also be configured such that adapt transmission rates depending upon channel conditions while transmit at fixed rate. this setting, we analyze ergodic capacity mean local delay using stochastic geometry. Our analysis demonstrates aforementioned configuration provides better OMA when constraint strict. We show supports larger packet size than under same constraint.