Analysis of Transmission Performance in Heterogeneous Networks Based on Stochastic Geometry
To address the challenge of achieving both wide coverage and high-quality communi-cation in a single-tier cellular network,a hybrid heterogeneous cellular network model combi-ning traditional microwave and millimeter wave technologies is proposed.Based on stochastic geometry theory,a spatial node distribution model is constructed for millimeter wave hybrid heterogeneous scenarios,where macro base stations follow a Poisson point process distribution,and millimeter wave small cells follow a Poisson cluster process distribution.Terminal users a-dopt a minimum path loss connection strategy to access base stations,forming communication links with mutually independent Nakagami fading.The signal-to-interference-plus-noise ratio(SINR)of the network communication links is derived,leading to closed-form expressions for the SINR coverage and rate coverage.Simulation results demonstrate that the heterogeneous cel-lular network with millimeter wave small cells can effectively improve the system's coverage performance.Additionally,model parameters such as the voiding radius of the Poisson cluster process and base station distribution density directly impact the coverage probability of the milli-meter wave hybrid heterogeneous cellular network,with simulation results confirming the con-clusions of the theoretical analysis.
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