Radio Access Management Using Multiple Numerologies for Massive Machine Type Communications Towards 6g

Abstract

As 5G and beyond cellular systems aim at providing primary support for machine type communications (MTC) under the domain of massive MTC (mMTC), 5G New Radio introduces many flexible physical layer features to enable massive connec tivity while satisfying diverse service and traffic requirements of MTC services. In this thesis, optimal radio resource management for periodic MTC traffic towards 6G networks is investigated considering multiple numerologies supported by New Radio. An optimization framework to minimize the total bandwidth required while meeting the periodic data generation requirements of MTC services is presented. Two alternative optimization problem formulations are provided along with a com parative computational complexity analysis. For both optimization problems, semi persistent radio resource allocation algorithms are proposed. The first phase of both algorithms provides optimal numerology selection and bandwidth partitioning for MTC services and the second phase performs periodic allocation of MTC services in each bandwidth part based on maximum utilization of each band. Simulations il lustrate that the proposed algorithms outperform single numerology-based resource allocation algorithms in terms of spectral efficiency and use multiple numerologies effectively.