Table 1 Simulation setup
From: On the meta distribution in spatially correlated non-Poisson cellular networks
Parameter | Value |
|---|---|
Ginibre point process (rural) | λBS=0.03056 BSs/km2 |
Log-Gaussian Cox point process (urban) | λBS=4.00923 BSs/km2 |
General case | λBS=0.2346 BSs/km2 |
Ginibre point process (rural) | β=0.225, Area region = 124.578 π km2 |
Log-Gaussian Cox point process (urban) | β=0.03,σ2=3.904,μ=−0.5634, Area region = 28×28 km2 |
Path-loss constant and exponent | κ=(4πfc/3×108)2,γ=4 |
Ginibre point process (rural) | \(\begin {array}{*{20}{l}} a_{\mathrm {F}}=4.55473414133037\cdot 10^{-5} \\ b_{\mathrm {F}}=1.01046879386340 \\ c_{\mathrm {F}}=1.11306423054186 \end {array} \) |
Ginibre point process (rural) | \(\begin {array}{*{20}{l}} a_{\mathrm {K}} = 0.000400570907629641 \\ b_{\mathrm {K}}=0.0118898483733152 \\ c_{\mathrm {K}}=0.999999810503409 \end {array} \) |
Log-Gaussian Cox point process (urban) | \( \begin {array}{*{20}{l}} a_{\mathrm {F}}=3.00375582041718 \cdot 10^{-3} \\ b_{\mathrm {F}}=0.999992970565002 \\ c_{\mathrm {F}}=0.660720583433523 \end {array}\) |
Log-Gaussian Cox point process (urban) | \(\begin {array}{*{20}{l}} a_{\mathrm {F}}=0.254520540961994 \cdot 10^{-3} \\ b_{\mathrm {K}}=1.17267857020013 \\ c_{\mathrm {K}}=1.00000033357904 \end {array} \) |
General case (repulsive) | \(\begin {array}{*{20}{l}} a_{\mathrm {F}}=0.2 \cdot 10^{-3}, \; b_{\mathrm {F}}=1.1, \; c_{\mathrm {F}}=1.5 \\ a_{\mathrm {K}}=0.2 \cdot 10^{-3}, \; b_{\mathrm {K}}=0.8, \; c_{\mathrm {K}}=0.99 \end {array} \) |
General case (attractive) | \(\begin {array}{*{20}{l}} a_{\mathrm {F}}=0.2 \cdot 10^{-3}, \; b_{\mathrm {F}}=0.99, \; c_{\mathrm {F}}=0.8 \\ a_{\mathrm {K}}=0.2 \cdot 10^{-3}, \; b_{\mathrm {K}}=1.5, \; c_{\mathrm {K}}=1.1 \end {array} \) |
SIR and \(\overline {\text {SNR}}\) thresholds | γD=1,γA=1 |
Ginibre point process (rural) | Ptx=55 dBm |
Log-Gaussian Cox point process (urban) | Ptx=20 dBm |
General case | Ptx=15 dBm |
Ginibre point process (rural) | BW=200 kHz |
Log-Gaussian Cox point process (urban) | BW=200 kHz |
General case | BW=2000 kHz |
Noise power | \({{\sigma _{\mathrm {N}}^{2}} = - 174 + 10{{\log }_{10}}\left ({\text {BW}} \right) + 10}\) dBm |