# Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems

## TL;DR

This paper proposes a resource allocation algorithm for URLLC-enabled OFDMA systems that accounts for short packet effects, aiming to meet low latency requirements while maximizing throughput.

## Contribution

It introduces a successive convex optimization-based algorithm for resource allocation that considers URLLC constraints and improves system throughput.

## Key findings

- The proposed algorithm effectively supports URLLC with low latency.
- It significantly outperforms benchmark schemes in throughput.
- The solution has polynomial time complexity.

## Abstract

In this paper, we study resource allocation for downlink orthogonal frequency division multiple access (OFDMA) systems with the objective to enable ultra-reliable low latency communication (URLLC). To meet the stringent delay requirements of URLLC, the impact of short packet communication is taken into account for resource allocation algorithm design. In particular, the resource allocation design is formulated as a weighted system sum throughput maximization problem with quality-of-service (QoS) constraints for the URLLC users. The formulated problem is non-convex, and hence, finding the global optimum solution entails a high computational complexity. Thus, an algorithm based on successive convex optimization is proposed to find a sub-optimal solution with polynomial time complexity. Simulation results confirm that the proposed algorithm facilities URLLC and significantly improves the system sum throughput compared to two benchmark schemes.