Research On Optimization Algorithm Of Energy Efficiency In Heterogeneous Cellular Networks By Power Control

With the rapid development of mobile communication technologies and the proliferation of intelligent terminals,it is difficult for the traditional cellular networks to increase the system capacity and the user's data rate.To solve this problem,the 3rd generation partnership project proposed the heterogeneous cellular network.At present,the energy consumption problem of heterogeneous cellular networks is generally considered by people.In view of this,this paper researches the energy efficiency of heterogeneous cellular networks.In a heterogeneous cellular network consisting of a macro base station and femto cell,a power control algorithm based on adaptive pricing is proposed for the unreasonable of the penalty function construction in the energy efficiency-prioritized power control algorithm.The pricing-based power control algorithm models the energy efficiency problem as a utility function maximization model,where the utility function is expressed as a revenue function minus the penalty function,and the penalty function is seen as the product of the pricing factor and power.However,in a real scenario,the transmit power of each femto cell may be different.The product of the pricing factor and power does not accurately indicate the network interfere that the base station generates with its own power.Therefore,this paper proposes a power control algorithm based on adaptive pricing mechanism.The adaptive pricing factor is an edge drop for increasing the network energy efficiency per unit power of the femto cell.This paper uses MATLAB to build the system simulation platform.The simulation shows that when the pricing factor is 10,compared with the pricing-based power control algorithm,the improved energy efficiency value under the adaptive pricing-based power control algorithm increases by about 18.9%.Research on power control algorithm with energy efficiency priority,few people combine user association strategies with power control.In a two-layer heterogeneous cellular network consisting of a macro base station and a femto cell,this paper proposes a collaborative optimization solution with priority for energy efficiency by user association and power control.The solution is to obtain the suboptimal solution through the double-level iterative method.In the outer layer,the optimal user association matrix is obtained through the convex optimization and the lagrange multiplier.In the inner loop,the transmission power is obtained by Newton method,and the back-stepping method is used to solve the power update step length.Through MATLAB simulation experiments,compared with the user association strategy of energy efficiency priority under fixed power,the energy efficiency priority user association and power control collaborative optimization algorithm further improves the system energy efficiency.At the same time,it improves the load balance.