Resource Allocation for Mixed Numerology NOMA

6G wireless networks will require the flexibility to accommodate an extremely diverse set of service types. Accommodating different quality (QoS) requirements for these types necessitates use mixed numerologies, where services using subcarrier spacings or symbol durations coexist in same frequency band. Non-orthogonal multiple access (NOMA) techniques can potentially be used users with numerologies while also gaining performance benefits associated NOMA. To achieve full a numerology NOMA (MN-NOMA) system, resource allocation is paramount. However, coexistence changes nature interference that each user experiences. In this letter, we approach problem optimizing and power maximizing spectral efficiency MN-NOMA. particular, propose two-stage sub-optimal solve problem. Numerical results show proposed provides gains over existing benchmark schemes up 14% 12% fairness, respectively.