Intelligent Frequency Allocation Optimization Based on FFR and Water-Filling Algorithm in Cognitive Cellular Network

Abstract:
With the rapid development of 5G technology which has shorter electromagnetic wave length, more precious spectrum resource and weaker wave diffraction ability than 4G, the demand for the quality of wireless communication is increasing. Therefore, aiming at the characteristics of 5G, a brand-new intelligent frequency allocation algorithm based on Fractional Frequency Reuse (FFR) and Water-Filling power allocation is proposed. So, the cellular network is still the priority. Under the 19-cell cellular network model, the algorithm divided each cell into cell center and edge and give priority to users closer to central base station. The spectrum allocation algorithm of central users is improved by simulations for many times, and interference temperature limit and forward-looking game algorithm based on water-filling power allocation are introduced. It can limit the interference to authorized users and improve the utilization rate of spectrum resources as much as possible. Simulation results show that Forward-Looking Game (FLG) algorithm greatly improves network performance by enlarging network capacity and has obvious advantages compared with other methods. For cell edges which has weaker interference than cell centers, to get a better frequency reuse method. The simulation results show that Integer Frequency Reuse (IFR3) for cell edges can get the maximum network capacity. Meanwhile, the result also shows the most suitable transmit power from base station to cell center and cell edge.