QoS-aware Resource Allocation for Healthcare Data Transmission using D2D Communication in NB-IoT

The deployment of Narrowband Internet of Things (NB-IoT) for the transmission of healthcare data has recently gained special attention. Existing works in the literature are limited by handling heterogeneous data in an inefficient way due to lack of prioritization of health events. In this work, we investigate the use of Device to Device (D2D) integrated NB- IoT to ensure the Quality of service (QoS) while allocating radio resources to maximize the data rate of an application’s urgency in smart healthcare. We specifically create a novel system with a two-tier structure for prioritized health data transfer across cellular user equipment (CUE), D2D, and eNB to increase throughput and develop an optimization framework using multi- objective non-integer linear programming (MNILP) for fair resource distribution among the participants. Performance analysis results demonstrate that the suggested resource allocation results in a higher percentage of data delivery ratio and offers a significantly decreased data delivery delay.