Resource Allocation for Multi-class Businesses in LTE-A Uplink Communication for Smart Grid

In recent years, with the development of Internet of Things (IoT) technology and the development of various types of electricity interconnection businesses in smart grids, IoT in smart grid has caused extensive research. Long Term Evolution-Advanced (LTE-A) is a promising technology for power wireless private networks, we can combine it with IoT. A major challenge brought by the combination of LTE-A and IoT in smart grid is that a large number of devices attempt simultaneously to access to the network in a short time, which will greatly reduce the performance of the network and affect the execution in smart grid. In this paper, we classify IoT devices according to the types of businesses carried by it, and establish a hierarchical architecture that uses IoT gateways to connect IoT devices to eNBs. Under this architecture, we propose a resource allocation algorithm for multi-class businesses of IoT uplink communication based on LTE-A to improve the resource utilization of the network. In the simulation, we evaluate the proposed algorithm from rate and delay respectively. The results show that the algorithm can provide better data rate and delay for businesses with different requirements for QoS in both saturated and unsaturated situations.