Energy efficiency optimization based on NOMA IoT communication

With the popularity of large-scale MIMO and Internet of Things, energy efficiency(EE) optimization issues will be the challenges of the future development of 5G, in which multiple users reuse in the same sub channel shows more attractive. Assuming that the conditions of the channel state information are fully understood, the base station allocates the machine equipment with the largest allocation factor to the user equipment according to the maximum proportion allocation principle, in the uplink, a bilateral matching algorithm of one sub-channel and user equipment is adopted, and the EE is maximized through the power control and time scheduling based on NOMA. The simulation result shows that the energy consumption of the proposed optimization scheme is reduced by more than 6% compared with the existing schemes.