Resource Allocation Based on Multi-class Businesses Fairness and Priority in HetNets for Smart Grid

With the combination of 5th generation mobile networks and smart grid, businesses in smart grid are becoming more diversified. Considering the different communication quality requirements of different businesses, this paper studies the problem of maximizing the system benefit function in the case of meeting the fairness and priority of multiple businesses in smart grid. This problem is studied in heterogeneous networks to improve the transmission reliability and overall efficiency of the system. The formulated problem is a mixed integer nonlinear programming (MINLP), which is difficult to solve. To deal with this problem, the target problem is divided into two sub-problems. First, we formulate the channel optimization problem, introduce the concept of exchange operation based on increased benefits, and propose a channel matching algorithm. Next, based on the channel allocation results, we formulate the power optimization problem and propose an iterative algorithm based on Lagrange dual decomposition. Simulation results show that our proposed algorithm has advantages in improving network throughput under the premise of satisfying the fairness and priority of multiple businesses.