Simulation Calculation of Channel Hold Time, Dwell Time, and Handover Probability

In this paper, we conduct simulation computations to analyze channel hold time, dwell time, and handover probability under varying cellular system configurations and mobile station velocities. The simulation employs stochastic geometry modeling with Poisson Point Processes for base station distribution and Markov chain implementations for state transition analysis. Key metrics are calculated through Monte Carlo methods with 10,000 iterations for statistical reliability. We utilize these computational results to quantitatively evaluate mobile communication system performance, incorporating path loss models and mobility patterns using velocity-dependent parameters. Furthermore, we perform sensitivity analysis on factors including cell radius, signal threshold levels, and user mobility patterns to assess their impact on system performance. The implementation features customized functions for temporal analysis and probability density estimation, enabling comprehensive performance optimization recommendations. Through this enhanced computational framework, we achieve in-depth investigation of system dynamics and derive multidimensional conclusions for network optimization.