All classes 5G Deep RL Resource Allocation Syllabus · Episode 2 of 6

Class 5G Resource Allocation Deep RL #2: Simple Cellular Network Simulator: Channel, SINR, Throughput

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Tutorial for 5G cellular network simulator with Python: Rayleigh fading, shadowing, neighbor cell interference, SINR, throughput. Episode 2 of the 5G deep reinforcement learning resource allocation series.

Software: Python (NumPy, PyTorch, Gymnasium, Matplotlib)
Level: Intermediate
Duration: ± 11 min
Series total: 1 h 1 min · 6 videos
Published: October 25, 2026

Episode 2 of 6 · view syllabus

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Introduction

Here is the final result, the 5G cellular network simulator we wrote ourselves. Complete with 6 interfering neighboring cells, fading that makes the signal fluctuate every millisecond, and SINR and throughput calculations for each user. Let's get started. Hello, welcome to episode two of the 5G resource allocation series with Deep Reinforcement Learning. To train the artificial intelligence agent, we need a sufficiently realistic simulator. User positions vary, signals are blocked by buildings, fading due to reflections, and interference from neighboring cells. Today we are building it.

Step 1: Cell, user & shadowing

Create a file named jaringan.py with the Network class. Our cells have a radius of 500 meters, surrounded by 6 neighboring base stations in a hexagonal layout. The reset function spreads 8 users uniformly at random within the cell, then adds log-normal shadowing of 6dB due to building obstruction, so users at the same distance can have different signal quality. We also calculate the gain from each user to each neighboring base station.

Step 2: Fading, interference & SINR

The step function advances the simulation by one slot. Fading is modeled as an autoregressive process of order 1 with a correlation of 0.95, so the channel changes gradually, not randomly. Each neighboring base station is active on each RB with a 50% probability, resulting in changing interference. The SINR function calculates the signal divided by interference plus noise for all users and all RBs, and the serve function calculates the bits received by each user as well as the transmit energy for one allocation decision.

Step 3: One-second simulation

Create a file named uji underscore jaringan.py, simulate 2000 slots, or 1 second, then run it. The closest user at 193 meters has an average SINR of 25.3 decibels and 2.37 megabits per second per RB. Users at the edge of the cell are weaker, A user even achieves minus 2 decibels with just 0.19 megabits per second per RB because it is close to the neighboring station. The median SINR for all users is 5.4 decibels. This system is limited by interference, like a real cellular network. Let's take a look at the graph.

Step 4: Cell map, COF & fading

The cell map shows the user color, yellow near the tower, purple at the edge near the neighboring cell. CDF SINR shows a difference in user quality up to 20 decibels. The graph on the right shows the SINR of 1 RB fluctuating by tens of decibels within milliseconds due to fading. Smart scheduling takes advantage of these fading peaks.

Done!

Done. We have already built a cellular network simulator with shadowing, fading rally correlated, neighbor cell interference, SINR, and throughput. In the next episode, we write a comparator scheduler, round robin, max separate eye, proportional fair, and water filling. Working on a thesis, Thesis, or research in the field of telecommunications and artificial intelligence? Cerdas Inovasi Digital helps implement cellular network research, from 5G simulators, channel models and SINR, proportional fair and water filling scheduling, up to pre-inforcement learning with PyTorch, as well as opening Python programming courses for electrical engineering and telecommunications. Want to master the entire series? From resource block concepts to agent efficiency evaluation The QN? All 6 episodes, complete with step-by-step PDF guides and source code, are available to premium tutorial subscribers. Subscribe starting at Rp69.000 per month, save 28% with the 12-month package, or one-time payment of Rp999.000 for lifetime access. Want a single class only? Buy single classes with lifetime access. Subscribe now at the premium page cerdasinovasidigital.com Contact us via WhatsApp, or visit cerdasinovasidigital.com Thank you for watching, see you in the next episode.

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Transcript

0:03Introduction

0:42Step 1: Cell, user & shadowing

3:23Step 2: Fading, interference & SINR

5:31Step 3: One-second simulation

7:25Step 4: Cell map, COF & fading

9:48Done!

Ask the class material

My notes

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Your instructor

Recommended classes for you

Need more than a video?

Transcript

0:03Introduction

0:42Step 1: Cell, user & shadowing

3:23Step 2: Fading, interference & SINR

5:31Step 3: One-second simulation

7:25Step 4: Cell map, COF & fading

9:48Done!

Ask the class material

My notes

Questions & answers

Your instructor

Introduction

Step 1: Cell, user & shadowing

Step 2: Fading, interference & SINR

Step 3: One-second simulation

Step 4: Cell map, COF & fading

Done!

Introduction

Step 1: Cell, user & shadowing

Step 2: Fading, interference & SINR

Step 3: One-second simulation

Step 4: Cell map, COF & fading

Done!