Interrupt Probability Analysis And Resource Allocation Of Heterogeneous Cellular Networks

In recent years,with the rapid increase of smart mobile terminals,the demand for traffic has exploded,in order to meet the user's demand for network capacity.The deployment of base stations tends to be isomerized,dense,and randomized,so the deployment of heterogeneous cellular networks faces many challenges.First,due to the densification and randomization of heterogeneous networks,the traditional hexagonal network model cannot accurately reflect the network distribution in real life.Second,the network parameters deployed by different base stations are significantly different,such as transmit power and deployment density.Finally,due to the dense deployment of the network,it will also cause serious interference.Therefore,the modeling of dense heterogeneous networks,the network parameters of different base station deployments,and the interference management under dense networks are all worthy of study.In order to solve the above problems,this paper firstly models the heterogeneous network based on the random geometry theory.The user selects the access service base station based on the maximum signal to interference and noise ratio access criterion.Most of the existing articles consider two layers of heterogeneous networks,but in real life,more is a three-layer heterogeneous network.Therefore,this paper models the three-layer heterogeneous network scenario,which is closer to the deployment of real-life base stations.However,in general,the transmission power of the macro base station is larger than that of the pico base station,and the transmission power of the pico base station is larger than that of the home base station,but the specific size is not clear.Therefore,this paper deduces the outage probability formula of the three-layer heterogeneous network,and analyzes the transmit power parameters of different base stations with the outage probability as the performance index,and obtains the optimal base station of different layers in the specific scenario.Transmit power is instructive for practice.Due to the maximum signal to interference and noise ratio access criterion,a large number of users access the macro base station with relatively large transmit power,causing the macro base station to be overloaded,while the small base station is lightly loaded,and resources cannot be fully utilized.In order to solve the problem of load imbalance,a cell-wide extension scheme is adopted.Each base station is assigned an offset factor and each user is associated with a base station that provides a maximum received signal to interference and noise ratio weighted by the bias factor.In the existing article,the offset value is changed to increase the coverage probability.In fact,after the bias factor is added,the transmit power of the small base station is artificially increased,and the signal-to-noise ratio that is essentially provided to the user is not the best.The macro base station will have strong interference to the unloaded users.To solve this problem,this paper proposes an algorithm.Compared with the existing enhanced inter-cell interference coordination technology,it is found that the proposed algorithm outperforms the existing enhancement.Inter-cell interference coordination technology.The user association probability formula,the signal to interference ratio outage probability formula and the rate outage probability formula are derived.Through simulation experiments,the presence or absence of the offset value,the conditional signal to interference ratio threshold,and the transmission power ratio of the small base station and the macro base station are further analyzed.The impact on the probability of user communication interruption.