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Future wireless networks are envisioned to serve massive Internet of things(mIoT) via some radio access technologies, where the random access channel(RACH) procedure should be exploited for IoT devices to access the networks.However, the theoretical analysis of the RACH procedure for massive IoT devicesis challenging. To address this challenge, we first correlate the RACH requestof an IoT device with the status of its maintained queue and analyze theevolution of the queue status. Based on the analysis result, we then derive theclosed-form expression of the random access (RA) success probability, which isa significant indicator characterizing the RACH procedure of the device.Besides, considering the agreement on converging different services onto ashared infrastructure, we investigate the RAN slicing for mIoT and burstyultra-reliable and low latency communications (URLLC) service multiplexing.Specifically, we formulate the RAN slicing problem as an optimization one tomaximize the total RA success probabilities of all IoT devices and provideURLLC services for URLLC devices in an energy-efficient way. A slice resourceoptimization (SRO) algorithm exploiting relaxation and approximation withprovable tightness and error bound is then proposed to mitigate theoptimization problem. Simulation results demonstrate that the proposed SROalgorithm can effectively implement the service multiplexing of mIoT and burstyURLLC traffic.

RAN Slicing for Massive IoT and Bursty URLLC Service Multiplexing: Analysis and Optimization