Author Description

Front Cover -- 5G IoT and Edge Computing for Smart Healthcare -- Copyright Page -- Contents -- List of contributors -- 1 Edge-IoMT-based enabled architecture for smart healthcare system -- 1.1 Introduction -- 1.2 Applications of an IoMT-based system in the healthcare industry -- 1.3 Application of edge computing in smart healthcare systems -- 1.4 Challenges of using edge computing with IoMT-based system in smart healthcare system -- 1.5 The framework for edge-IoMT-based smart healthcare system -- 1.6 Case study for the application of edge-IoMT-based systems enabled for the diagnosis of diabetes mellitus -- 1.6.1 Experimental results -- 1.7 Future prospects of edge computing for internet of medical things -- 1.8 Conclusions and future research directions -- References -- 2 Physical layer architecture of 5G enabled IoT/IoMT system -- 2.1 Architecture of IoT/IoMT system -- 2.1.1 Sensor layer -- 2.1.2 Gateway layer -- 2.1.3 Network layer -- 2.1.4 Visualization layer -- 2.2 Consideration of uplink healthcare IoT system relying on NOMA -- 2.2.1 Introduction -- 2.2.2 System model -- 2.2.3 Outage probability for UL NOMA -- 2.2.3.1 Outage probability of x1 -- 2.2.3.2 Outage probability of X2 -- 2.2.3.3 Asymptotic -- 2.2.4 Ergodic capacity of UL NOMA -- 2.2.5 Numerical results and discussions -- 2.3 Conclusions -- References -- 3 HetNet/M2M/D2D communication in 5G technologies -- 3.1 Introduction -- 3.2 Heterogenous networks in the era of 5G -- 3.2.1 5G mobile communication standards and enhanced features -- 3.2.2 5G heterogeneous network architecture -- 3.2.3 Intelligent software defined network framework of 5G HetNets -- 3.2.4 Next-Gen 5G wireless network -- 3.2.5 Internet of Things toward 5G and heterogenous wireless networks -- 3.2.6 5G-HetNet H-CRAN fronthaul and TWDM-PON backhaul: QoS-aware virtualization for resource management.