Performance Analysis Of Heterogeneous Cellular Networks Based On Non-Poisson Model

The rapid growth of mobile communication services makes the traditional cellular network structure can't meet the requirements of users for the quality of communication,while the heterogeneous network architecture can effectively enhance network coverage and improve network energy efficiency.Stochastic geometry theory is an important mathematical tool for modeling and analyzing networks,and the theoretical results are in agreement with the actual ones.In this paper,we use random geometry tools to model the network,analyze its basic network performance index,mainly analyze the approximate signal to interference ratio and coverage,and analyze the effect of microbase station density on network energy efficiency.Then,aiming at the system energy efficiency in two-layer heterogeneous cellular network,the system energy efficiency is optimized from the base station dormancy strategy.Firstly,this paper mainly studies the non-Poisson model in heterogeneous cellular networks,and uses Poisson Hole Process(PHP)to model the network model.Taking the most basic performance index,the signal to interference ratio(Signal to Interference Radio,SIR)distribution as the research object,using the approximate SIR analysis method of Poisson point process,the concrete expression of the network SIR gain under the PHP model is derived.The approximate coverage of PHP model is obtained by scaling the signal-to-interference ratio threshold of Poisson network.Furthermore,the closed form expression of energy efficiency is derived,and the effect of microbase station density on network energy efficiency is studied.The optimal microbase station density is obtained by convex optimization algorithm to maximize network energy efficiency.Secondly,in the scenario of a large number of microbase stations deployed,the network energy consumption is very large.Because the base station dormancy technology can significantly reduce the energy consumption of the network system,this paper uses the microbase station sleep method based on content partitioning storage to improve the network energy consumption.The microbase station selects storage files randomly according to its own storage capacity.At the same time,in order to analyze the energy consumption of file transmission in the network,we define a matrix to represent the connection state between the user and the base station,and use the matrix to calculate the energy consumption of file transmission in the network.Then,we study the number of non-dormant microbase stations,and model a two-dimensional network energy efficiency optimization model.Finally,we find the optimal solution to determine the state of the microbase station and content distribution strategy.The simulation results show that the proposed method can effectively improve network energy efficiency.Finally,the effect of stochastic discontinuous transmission(Discontinuous Transmission,DTX)policy on the energy efficiency of two-layer heterogeneous cellular networks is studied,and the general expressions of energy efficiency of two-layer heterogeneous cellular networks are derived by means of random geometry tools.This paper mainly studies the effect of dormancy probability on system energy efficiency,and finds out the optimal dormancy probability through numerical simulation to make the network energy efficiency reach the maximum.