Resource allocation method based on massive MIMO NOMA MEC on distribution communication network

The current smart distribution network has problems of slow fault detection and low efficiency. This paper reasonably derives the expression of delay from two aspects of transmission time and calculation time based on technologies such as massive multiple input multiple output, non-orthogonal multiple access, and mobile edge computing (MIMO-NOMA-MEC). In addition, a multi-objective iterative algorithm is designed to minimize the delay by jointly optimizing the transmission power, task allocation coefficient, and the computing resources of the MEC server. Finally, the simulation results show that the processing delay of the system gradually decreases as the number of antennas increases. In addition, the processing delay of the system can still be below 10ms under the extremely bad situation that there are many devices currently requesting services.