IoT Resource Scheduling Based on Dedicated Return Channel in ATSC 3.0 To meet the needs of implementing the Internet of Thing (IoT) applications in rural areas and developing countries, an IoT model based on Dedicated Return Channel (DRC) in ATSC 3.0 is proposed in this paper. The model provides a possibility for broadcast operators to independently conduct IoT services. The proposed model transmits signaling information of IoT devices through PLPR, in order to avoid congestion due to insufficient PLPR capacity, we propose a heuristic uplink and downlink joint DRCIOT resource scheduling algorithm. Our algorithm takes the overhead of signaling information and QoS into account and develops a new search strategy. Simulations and results show that our algorithm reduces the delay of Guaranteed Bit Rate (GBR) service and increases the throughput of NonGuaranteed Bit (NonGBR) service compared with NS algorithm and MBUS algorithm.

Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as industrial control traffic. We present an algorithm that fulfils these requirements, and evaluate its performance both analytically and through a simulation study. For realistic alarm traffic characteristics, on average our algorithm can deliver alarms within two time slots (of duration equal to the 5G transmission time interval) using fewer than 1.5 pilots per slot, and even in the worst case it uses around 3.5 pilots in any given slot, with delivery guaranteed in an average of approximately four slots.