e_u.py

from math import log2, log10
import math

def calc_emb_throughput(alloc_scheme):
    # alloc_scheme为eMBB和URLLC分配的频谱带宽,单位为Hz
    BW_eMBB = alloc_scheme[0]  
    BW_URLLC = alloc_scheme[1]
    
    # eMBB小区参数
    eMBB_cell_radius = 1000     # 小区半径,m 
    eMBB_snr = 30              # 信噪比,dB
    
    # 系统参数
    N0 = -174                  # 热噪声功率谱密度,dBm/Hz
    B = 40e6                      # 系统带宽,Hz
    
    # 计算小区内用户平均吞吐量 
    emb_cell_tp = BW_eMBB * log2(1 + (eMBB_snr * N0) / B)  
    
    # eMBB小区内用户数
    emb_cell_users = (3.14 * eMBB_cell_radius**2) / (4 * 3.14)  
    # emb_cell_users = 100
    
    # eMBB系统吞吐量
    system_emb_tp = emb_cell_tp * emb_cell_users  
    
    return system_emb_tp   # 返回eMBB系统吞吐量,bit/s

def calc_url_latency(alloc_scheme):
    # alloc_scheme为eMBB和URLLC分配的频谱带宽,单位为Hz
    BW_eMBB = alloc_scheme[0]  
    BW_URLLC = alloc_scheme[1]
    
    # URLLC小区参数 
    url_cell_radius = 1000        # 小区半径,m
    url_required_snr = 30        # URLLC用户需求SNR,dB
    
    # 系统参数(同上)
    N0 = -174                 
    B = 100e6                      
    
    # 计算URLLC用户最大允许路径损耗 
    max_path_loss = url_required_snr * N0 - 10*log10(BW_URLLC)  
    
    # 计算URLLC小区边缘用户与基站的距离
    edge_user_dist = (max_path_loss / (36.7 * 10**-3)) ** 0.5  
    
    # 考虑时延成分:传播时延 + 发送时延 + 接收时延 
    url_latency = (edge_user_dist / 3e8) + (1 / BW_URLLC) + 1e-6  
    
    return url_latency  # 返回URLLC时延,s

alloc_scheme = [60e6, 40e6]  # eMBB和URLLC分配的频谱带宽,单位为Hz

emb = calc_emb_throughput(alloc_scheme) / 1e6
ulc_raw = calc_url_latency(alloc_scheme)
# ulc = 
print('eMBB系统吞吐量为:', - emb, 'mbps')
print('URLLC时延为:', ulc_raw, 's')