Resource Allocation and Beamforming design for Downlink MISO-URLLC Systems

Ultra-reliable low-latency communication (URLLC) is a popular scenario in 6G wireless networks, which is also chal-lenging. In this paper, a downlink multiple-input single-output (MISO) URLLC system, which has a multiple-antenna base station (BS) and multiple single-antenna users was considered. With the objective of minimizing the total power, an algorithm about resource allocation and beamforming design was proposed. In the finite blocklength system, the objective issue is non-convex due to the constraints of decoding error probability, which makes computing complex. Hence, a path-following algorithm which is based on the successive convex approximation (SCA) was proposed. Numerical results are analyzed to verify the efficiency of the algorithm we proposed.