Sustainable Scheduling for Ultra Massive Machine Type Communication Using NOMA in 6G O-RAN

The article explores sustainable scheduling techniques that aim to optimize the energy, latency, and connectivity of umMTC devices on the uplink using NOMA.
An energy-efficient algorithm was developed for resource and power allocation based on QoS. Designed to maximize EE, and connection density in
NOMA uplink while minimizing link latency. The simulation results show that the proposed algorithm improves the EE of umMTC UEs by up to 31% and
51% compared to the baseline schemes ESAP-NOMA and RAAP-NOMA. Link latency is also reduced by 3 to 10 times compared to the baseline scheme
for the maximum connection density of 300 users.