Latency.: Let T = [tk]K×1 denotes the total latency that occurs during transmission, where tk is the total latency of user k. The tk can be calculated as tk = tk,1 + tk,2 + tk,3 + tk,4, (2) where tk,1 represents the queuing delay of user k, tk,2 is the resource access delay of user k, tk,3 is the processing delay of user k and tk,4 represents the propagation delay of user k. Specifically, tk,4 is calculated as tk,4 = di,k/v, (3) where di,k denotes the communication distance from UAV i to user k and v represents the propagation speed of electro- magnetic waves in the channe将这段文字用python代码表示

这段文字是一个数学公式，需要使用LaTeX语法进行表示。以下是使用Python中的matplotlib库将其表示为图片的代码：

import matplotlib.pyplot as plt

# Latex equation
equation = r'$t_k = t_{k,1} + t_{k,2} + t_{k,3} + t_{k,4}$' + '\n' \
           r'$t_{k,1}$ represents the queuing delay of user $k$,' + '\n' \
           r'$t_{k,2}$ is the resource access delay of user $k$,' + '\n' \
           r'$t_{k,3}$ is the processing delay of user $k$,' + '\n' \
           r'$t_{k,4}$ represents the propagation delay of user $k$.' + '\n' \
           r'Specifically, $t_{k,4}$ is calculated as $t_{k,4} = \frac{d_{i,k}}{v}$,' + '\n' \
           r'where $d_{i,k}$ denotes the communication distance from UAV $i$ to user $k$' \
           r' and $v$ represents the propagation speed of electromagnetic waves in the channel.'

# Plot equation
fig, ax = plt.subplots(figsize=(8, 4))
ax.text(0.5, 0.5, equation, ha='center', va='center', fontsize=14)
plt.axis('off')
plt.show()

输出的结果是一张包含该公式和相关说明的图片。