The coming extension of cellular technology to base-stations in low-earth orbit (LEO) requires a fresh look at terrestrial 3GPP channel models. Relative to such models, sky-to-ground cellular channels will exhibit less diffraction, deeper shadowing, larger Doppler shifts, and possibly far stronger cross-cell interference: consequences of high elevation angles and extreme "sectorization" of LEO satellite transmissions into partially-overlapping spot beams. To permit forecasting of expected signal-to-noise ratio (SNR), interference-to-noise ratio (INR) and probability of outage, we characterize the powers of desired and interference signals as received by ground users from such a LEO satellite. In particular, building on the Shadowed Rician channel model, we observe that co-cell and cross-cell sky-to-ground signals travel along similar paths, whereas terrestrial co- and cross-cell signals travel along very different paths. We characterize SNR, signal-to-interference ratio (SIR), and INR using transmit beam profiles and linear relationships that we establish between certain Shadowed Rician random variables. These tools allow us to simplify certain density functions and moments, facilitating future analysis. Numerical results yield insight into the key question of whether emerging LEO systems should be viewed as interference- or noise-limited.
翻译:将蜂窝技术推广到低地轨道的基站需要重新审视地面3GPP信道模型。相对于这些模型,天空到地面的蜂窝通道将显示较少的偏差、更深的阴影、更大的多普勒移动和可能更强的跨细胞干扰:高高度角度和极“分化”低地卫星传输进入部分重叠点光束的后果。为了能够预测预期的信号到噪音比率、干扰到噪音比率和断线概率,我们将低地轨道卫星地面用户收到的希望得到的干扰信号和干扰信号的力量定性为低地轨道卫星。特别是,在暗地里西亚频道模型的基础上,我们观察到共同细胞和跨细胞的天空到地面信号沿着类似的路径运行,而地面的共和跨细胞信号沿着非常不同的路径运行。我们用我们所建立的某些暗地里西亚随机变量之间的信号和线性关系描述SNRR、信号到干涉率比率和干涉率比率,这些工具让我们能够简化未来摄取的密度和精确度分析结果。