Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems

January 17, 2019 Β· Declared Dead Β· πŸ› 2019 IEEE International Conference on Communications Workshops (ICC Workshops)

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Authors Walid R. Ghanem, Vahid Jamali, Yan Sun, Robert Schober arXiv ID 1901.05825 Category cs.IT: Information Theory Citations 37 Venue 2019 IEEE International Conference on Communications Workshops (ICC Workshops) Last Checked 6 months ago
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.
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