Python (Session 2): Practical 5G Throughput Simulation with Python
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Python (Session 2): Practical 5G Throughput Simulation with Python
In the previous session, we developed a basic 5G Interactive Throughput Calculator that takes some inputs from the user and generates the peak throughput for the given configuration. However, this approach cannot be used for general purposes as most of the users will be in different radio conditions and hence, they will get different throughput levels. So, in this session, we will convert that basic 5G Tool into a more practical version which will be able to provide throughput for 5G Users in various radio conditions. This means that we will add more input parameters including MCS (Modulation and Coding Scheme), CQI (Channel Quality Indicator) and BLER (Block Error Rate). Meanwhile, we will also increase our knowledge of Python as we will introduce the concept of Python Lists, improving the interaction by creating choice and learning about IF and IF-ELSE statements. So, do have a look as I have tried to cover both 5G and Python simultaneously!
The MCS and CQI tables discussed in the session are given below. You can copy them from here and use them in your own test code!
MCS
0.2344, 0.3770, 0.6016, 0.8770, 1.1758, 1.4766, 1.6953, 1.9141, 2.1602, 2.4063, 2.5703, 2.7305, 3.0293, 3.3223, 3.6094, 3.9023, 4.2129, 4.5234, 4.8164, 5.1152, 5.3320, 5.5547, 5.8906, 6.2266, 6.5703, 6.9141, 7.1602, 7.4063
CQI
0.1523 0.1523, 0.3770, 0.8770, 1.4766, 1.9141, 2.4063, 2.7305, 3.3223, 3.9023, 4.5234, 5.1152, 5.5547, 6.2266, 6.9141, 7.4063
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