The Performance Analysis Of Heterogeneous Network Based On Stochastic Geometry

With the rapid growth in the numbers of subscribers and mobile data traffic, cellular networks are trending strongly towards higher data rate and increasing heterogeneity. The concept of Heterogeneous Cellular Network (HCN) is proposed to use the dimensions of space and frequency more efficiently. While the emergency of HCN improves the capacity of the cellular network, it also makes the structure of the network more complicated. Thus it is meaningful to model and analyze the network more precisely.In this article, we model the heterogeneous network with stochastic geometry theory and analyze the performance of network in the downlink and uplink transmission. The article mainly consists of three aspects:1. This article models the distribution of Macro User (MU ) and Pico User (PU) with two different and independent Poission Point Process(PPP). The uplink and downlink network performance are analyzed with the help of stochastic geometry theory, the outage probability of MU and PU is derived, the trend of downlink outage probability with Signal-to -Interference-Plus-Noise-Ratio (SINR) and PBS' intensity are given, and the trend of uplink outage probability with the power control coefficient,which can provide some guidance for the network deployment.2. An analytical framework for energy saving and outage performance of two-tier heterogeneous networks with traffic based varying inter-tier dependence is proposed. Taking the network traffic into consideration a power-saving scheme are proposed which adjusts the number of PBSs to the network traffic. The distribution of Macro Base Stations (MBSs) and Pico Base Stations (PBSs) are modeled with a PPP and a Poission Hole Process (PHP) respectively. Then the outage probability of the network are drived and the expression of the energy consumption is given with the help of stochastic geometry theory. The simulation results show that the outage performance of Macro Users with our scheme outperforms that of the independent traditional model while the outage performance of Pico Users decreases only a little, and up to 15% energy can be saved with our scheme.3. The article models and analyze the uplink heterogeneous network stochastic geometry theory. An energy-efficient uplink power control scheme are proposed, which adjusts the transmission power of MU and PU with two different power control coefficient. When the power control coefficient of MUs is fixed, the best power control coefficient of MUs will be found to minimize the average energy consumption of the network. The outage performance and average energy consumption are analyzed and the simulation results show that our scheme can reduce the average energy consumption by as much as 30%.