Performance Analysis And Optimization Of Heterogeneous Cellular Network Based On Non Poisson Model

With explosive growth of users and mobile data traffic,cellular networks have gradually evolved into heterogeneous cellular networks.The Poisson Point Process(PPP)model based on random geometry not only excellently describes the randomness of the network topology,but also facilitates theoretical analysis.The distribution of base stations modeled by PPP is completely random and independent.However,the distribution of different base stations is generally correlated in actual word which results deployment of base stations shouldn't be random or independent completely.Therefore,the non-poisson point process model plays a significant role in precise modeling for cellular networks.This article developes modles for heterogeneous cellular network which is based on non-poisson point process,along with optimization of network performance.It mainly proposes the following reaserch parts:1.Heterogeneous cellular network coverage performance analysis based on non-Poisson point process.Because the statistical characteristics of non-Poisson point processes are difficult to obtain,network performance analysis based on non-Poisson point processes is theoretically difficult to achieve.This paper analyzes the performance of multi-layer heterogeneous cellular networks by using PPP as the baseline and using each layer of Poisson approximation method with the help of the theoretical analyzability of PPP.In view of the exclusion in the layer,that is,a certain distance should be reserved between base stations of the same layer to prevent mutual interference.Poisson Hard-core Processes(PHCP)is used to model the heterogeneous cellular network.The simulation results show that the approximate coverage based on the Poisson approximation method of each layer is the asymptotic lower boundary of the actual coverage,and the PHCP network is better than the PPP network in coverage performance,and is more suitable for modeling with intra-layer mutual exclusion The actual base station deployment.For the exclusion between layers,that is,avoid deploying micro base stations near the macro base station to prevent the micro base station from receiving excessive interference from the macro base station,the Poisson Hole Process(PHP)is used to model the heterogeneous cellular network.Since the theoretical analysis based on the Poisson approximation method of each layer cannot guarantee that the macro base station is located at the center of the hole,and thus cannot reduce the interference of the macro base station,the approximate coverage rate it generates is the asymptotic lower boundary of the actual coverage rate.2.Optimization of micro-base station deployment strategies based on energy efficiency in a two-layer heterogeneous cellular network.As the number of base stations increases,energy consumption becomes a problem that cannot be ignored.Considering the situation of mutual exclusion within the macro base station layer,this paper uses PHCP and PPP to model the macro base station and the micro base station respectively.In view of the low user density,the optimization deployment strategy based on power consumption micro base stations is used.The problem is described as the problem of minimizing the power consumption of the system to meet a certain coverage performance.In order to minimize power consumption,this paper uses a one-dimensional optimization algorithm to optimize the density of micro-cell base stations,and find the optimal micro-base station density under given configuration conditions.For the situation where the user density is large,the deployment of micro base stations based on energy efficiency is used.In this case,the energy efficiency measurement criterion is the ratio of total throughput to total power consumption.In order to maximize energy efficiency,a one-dimensional optimization algorithm is used to optimize the density of microcell base stations,and the optimal microcell density under given configuration conditions is obtained.Finally,the correctness of the theoretical analysis is verified by simulation.