[Back]

L. Marijanovic, S. Schwarz, M. Rupp:
"Multi-user Resource Allocation for Low Latency Communications based on Mixed Numerology";
Talk: VTC Fall 2019, Honolulu, Hawaii; 09-22-2019 - 09-25-2019; in: "VTC Fall", IEEE, (2019).

In this paper, we propose an optimization method for resource and numerology allocation in multi-user scenarios. We focus on the achievement of packet latency constraints in low latency communications as one of the fundamental service requirements in 5G. We consider two groups of users: low latency users that impose a latency constraint and conventional,non-low latency users that do not impose a latency constraint. Furthermore, we consider users with varying channel conditions characterized by their delay and Doppler spread. Additionally, our optimization includes the effects of channel estimation and inter-numerology interference. The optimization problem is formulated as a multiscenario max-min Knapsack problem and
it is given by an integer programming solution.

In this paper, we propose an optimization method for resource and numerology allocation in multi-user scenarios. We focus on the achievement of packet latency constraints in low latency communications as one of the fundamental service requirements in 5G. We consider two groups of users: low latency users that impose a latency constraint and conventional, non-low latency users that do not impose a latency constraint. Furthermore, we consider users with varying channel conditions characterized by their delay and Doppler spread. Additionally, our optimization includes the effects of channel estimation and inter-numerology interference. The optimization problem is formulated as a multiscenario max-min Knapsack problem and it is given by an integer programming solution.

Mixed numerology, 2D resource allocation, low latency, 5G