A Highly Energy-efficient Scheduling Approach to Remote Smart Control of Optical Fiber Cores

In 5G networks, remote smart control of the optical fiber cores helps coordinate resource blocks (RBs) between base stations (BSs) to improve the service quality for users in the network. In this paper, we investigate a highly energy-efficient scheduling approach to 5G Applications with remote smart control of optical fiber cores. In order to maximize the energy efficiency (EE) of the network, we construct an objective function with RBs factor which is discrete. Due to the objective function is a non-linear fractional program with discrete variables, it is almost impossible to solve the objective function directly. Then we focus on the design of the low-complexity algorithm to achieve the suboptimal solution. Using the Lagrange dual function and Karush-Kuhn-Tucker (KKT) constraints to solve the power allocation, and with the genetic algorithm (GA) to find the optimal RB assignment scheme. The simulation results verify the scheduling approach proposed is convergent, and the numerical results evaluate the performance of the scheduling approach proposed.

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