Joint Beamforming and Channel Allocation for Multi-User and Multi-Channel URLLC Systems

One of the key components in the sixth generation (6G) wireless networks is to support ultra-reliable low-latency communication (URLLC) for realizing mission-critical applications. For such networks, most existing works study the throughput and the power consumption while ignoring the decoding-error probability. In this paper, the worst-case decoding-error probability is minimized for downlink multi-user and multi-channel systems under finite blocklength coding. We jointly design beamforming and channel allocation at a central controller for serving multiple downlink users under the subject of transmit power and available channels. Based on the correlation of the users on channel state information, we propose a channel allocation scheme with low complexity. Then, we address the beamforming optimization through sequential convex approximation. Finally, simulation results illustrate that the proposed schemes obtain lower decoding-error probability compared with other baseline schemes.