Fairness-improved resource allocation for QoS-guaranteed satellite-based Internet of Thing

Satellite-based Internet of Thing (S-IoT) is generally considered as a potential solution for the ubiquitous coverage broadband access in the next generation of mobile network. Considering the limited onboard resource of satellites and massive machine type communications (mMTC) requirement, we propose a fairness-improved resource allocation scheme in Quality of Service (QoS)-guaranteed S-IoT non-orthogonal multiple access (NOMA) downlink network. To ensure all the downlink NOMA user terminals’ (UTs’) QoS and approach the maximization energy efficiency simultaneously, we formulate a joint energy efficiency and fairness optimization problem. Then, we construct three virtual queues to record the power consumption, queue backlog and transmission delay, respectively, and utilize the Lyapunov optimization framework for the purpose of coping with the joint optimization problem. Simulation results validate our proposed NOMA-QoS scheme outperforms existing optimization works in terms of fairness performance while approaching the maximum energy efficiency. Furthermore, the NOMA-QoS scheme also has higher satisfaction and lower outage probability than the existing optimization works.