Hybrid Multiple Access and Service-Oriented Resource Allocation for Heterogeneous QoS Provisioning in Machine Type Communications

Non-orthogonal multiple access (NOMA) has emerged as one important enabling technology for future wireless communications and services, including machine type communication (MTC). Unfortunately, supporting diverse MTC services and massive connectivity is still challenging due to the very different service requirements, scarce radio resources, limited battery capacity of MTC devices, as well as rapidly changing network conditions. In this paper, a hybrid-multipleaccess (HMA) scheme for service-oriented resource allocation scheme is proposed in supporting diverse MTC services for resource constrained devices and networks. In the proposed scheme, HMA allows MTC devices to choose a suitable type of multiple access technique according to their channel conditions, power constraints, and quality of service (QoS) requirements. To support service-oriented resource allocation, the physical network is firstly sliced into several virtualized networks based on QoS requirements and hardware conditions of MTC devices. A novel utility function integrating network performance and the power consumption in MTC devices is proposed. Furthermore, the resource allocation problem is formulated as an optimization problem to maximize the different utility functions under constraints of user QoS requirements and maximum transmitted power. To improve computational capacity as well as reduce the operational latency, a cloud-edge collaborative scheme is further designed to share the computation loads between the cloud and edge. Simulation results demonstrate the proposed service-oriented resource allocation scheme is effective and illustrate that the proposed hybrid multiple access method provides better performance than NOMA in terms of effective energy efficiency.