A Novel Optimization Method for Resource Allocation Based on Mixed Numerology

摘要

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.