Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems

Ghanem W, Jamali Kooshkghazi V, Sun Y, Schober R (2019)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2019

Publisher: IEEE

Event location: Shanghai

ISBN: 978-1-7281-2373-8

DOI: 10.1109/ICCW.2019.8756746

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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How to cite

APA:

Ghanem, W., Jamali Kooshkghazi, V., Sun, Y., & Schober, R. (2019). Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems. In IEEE (Eds.), Proceedings of the 2019 IEEE International Conference on Communications Workshops (ICC Workshops). Shanghai, CN: IEEE.

MLA:

Ghanem, Walid, et al. "Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems." Proceedings of the 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai Ed. IEEE, IEEE, 2019.

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