[Back]

L. Marijanovic, S. Schwarz, M. Rupp:
"A Novel Optimization Method for Resource Allocation based on Mixed Numerology";
Talk: IEEE International Conference on Communications (ICC 2019), Shanghai, China; 05-20-2019 - 05-24-2019; in: "ICC 2019", L. Marijanovic, S. Schwarz, M. Rupp (ed.); IEEE, (2019).

In this paper, we propose a novel optimization
framework for resource and numerology allocation in multi-user
scenarios. The goal of our optimization is to equalize the users´
achievable rates. Our optimization includes intersymbol and
intercarrier interference, channel estimation error and interband
interference as a result of mixed numerology. The optimization
can be formulated as an integer linear program. To reduce the
computational complexity of the optimization, we also propose a
linear relaxation of the problem. We investigate the performance
of our methods by numerical simulations, demonstrating significant
gains over an LTE-compliant scenario with fixed numerology
and a heuristic approach.

In this paper, we propose a novel optimization
framework for resource and numerology allocation in multi-user
scenarios. The goal of our optimization is to equalize the users´
achievable rates. Our optimization includes intersymbol and
intercarrier interference, channel estimation error and interband
interference as a result of mixed numerology. The optimization
can be formulated as an integer linear program. To reduce the
computational complexity of the optimization, we also propose a
linear relaxation of the problem. We investigate the performance
of our methods by numerical simulations, demonstrating significant
gains over an LTE-compliant scenario with fixed numerology
and a heuristic approach.

Mixed numerology, optimal subcarrier spacing, resource allocation, 5G