Downlink User Matching and Power Allocation for Multicarrier NOMA-based Remote Health System

Remote health system greatly relies on the high-speed transmission to realize timely delivery and feedback of user information. In order to enable people in remote areas to be more deeply integrated into the Internet of health and obtain high-quality healthcare, the resource allocation for maximizing throughput of remote health system based on the multi-carrier non-orthogonal multiple access (NOMA) downlink transmission scenario is studied in this paper. We first propose a two-step matching algorithm to quickly achieve stable matching between all system users and subcarriers. We then give the closed-form expressions of optimal power allocation between multiplexing users by constraining the power budgets and minimum service rate (MSR) thresholds. On this basis, the excess power is allocated across subcarriers in a water-filling form. Simulation results show that the proposed scheme can significantly enhance the system throughput while guaranteeing the quality of health service of all access users.

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