Resource Allocation for System Throughput Maximization Based on Mobile Edge Computing

Mobile edge computing (MEC) provides cloud computing capabilities at the edge of the mobile network, emphasizing proximity to mobile users to reduce network operation and service delays, improving user experience. In this paper, we study the problem of low utilization spectrum resources for MEC in 5G heterogeneous networks. We first explore the problem of computing offloading in multi-channel environment. Then an optimization problem is proposed to maximum the overall throughput of the offloading system, where the power control and interference are taken into consideration. We transform the original optimization problem into a convex optimization problem, and use the Lagrangian dual algorithm to establish the KKT condition. By continuous iterative operation, the user's transmit power is optimally achieved. Simulation results show that our proposed scheme not only guarantees the communication quality, but also improves the system throughput and spectrum utilization.