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Ultra-Reliable Low-Latency Communications (URLLC) is a novel feature of 5Gcellular systems. To satisfy strict URLLC requirements for uplink datatransmission, the specifications of 5G systems introduce the grant-free channelaccess method. According to this method, a User Equipment (UE) performs packettransmission without requesting channel resources from a base station (gNB).With the grant-free channel access, the gNB configures the uplink transmissionparameters in a long-term time scale. Since the channel quality cansignificantly change in time and frequency domains, the gNB should selectrobust transmission parameters to satisfy the URLLC requirements. Many existingstudies consider fixed robust uplink transmission parameter selection thatallows satisfying the requirements even for UEs with poor channel conditions.However, the more robust transmission parameters are selected, the lower is thenetwork capacity. In this paper, we propose an adaptive algorithm that selectsthe transmission parameters depending on the channel quality based on thesignal-to-noise ratio statistics analysis at the gNB. Simulation resultsobtained with NS-3 show that the algorithm allows meeting the URLLC latency andreliability requirements while reducing the channel resource consumption morethan twice in comparison with the fixed transmission parameters selection.

Adaptive Transmission Parameters Selection Algorithm for URLLC Traffic in Uplink