Telecommunications — 5G and Next-Generation Networks: How to Become an Engineer of the Future

Telecommunications — 5G and Next-Generation Networks: Why It Matters and How to Learn It

5G networks are no longer exotic: they are being deployed worldwide, and with them come Open RAN, Network Slicing, MEC, and a fully cloud-native 5G Core. Operators are looking for engineers who understand not only theory but can also configure real components. According to GSMA Intelligence, by 2025 5G networks covered about a third of the world's population, and by 2030 more than 5 billion connections are expected. This means that demand for specialists will only grow.

However, the entry barrier to the topic is high: you need to understand radio signal physics, 3GPP standards, core architecture, and cloud technologies. Self-study can take years. The course "Telecommunications — 5G and Next-Generation Networks" on the asibiont.com platform is designed to guide you through this path in a structured way with hands-on practice.

What This Course Is and Who It's For

This course is for engineers, administrators, developers, and anyone who wants to master 5G and next-gen network technologies. It is suitable for:

• Network engineers looking to transition from 4G to 5G.
• Cloud and DevOps specialists interested in telecom.
• Technical university students who need practical experience.
• Anyone who wants to understand how modern mobile networks work.

The course covers the full stack: from the physical layer (OFDM, Massive MIMO, mmWave) to the 5G Core architecture based on Service-Based Architecture (SBA). You will study 3GPP Release 15–18 standards, Open RAN (O-RAN Alliance), Network Slicing (eMBB, URLLC, mMTC), MEC, SDN/NFV. And most importantly, you will gain practical skills in deploying Open5GS and UERANSIM in Docker.

What You Will Learn

After completing the course, you will be able to:

• Explain the principles of 5G New Radio: OFDM modulation, beamforming, millimeter-wave operation.
• Understand the 5G Core architecture: network functions (AMF, SMF, UPF), interaction via SBA, HTTP/2 and JSON protocols.
• Configure Network Slicing for different scenarios: eMBB (high-speed internet), URLLC (ultra-reliable low-latency communication), mMTC (massive IoT connections).
• Understand Open RAN: split into O-RU, O-DU, O-CU, interfaces O-FH, O-F1, O-E1.
• Apply MEC to reduce latency by placing computing at the network edge.
• Use SDN/NFV for network function virtualization.
• Deploy a 5G testbed using Open5GS (5G Core implementation) and UERANSIM (gNB and UE emulator) in Docker.

All of this is based on official 3GPP specifications (TS 23.501, TS 38.300) and O-RAN Alliance documents.

How Learning Works on asibiont.com

The asibiont.com platform uses artificial intelligence to create personalized lessons. You don't watch videos or memorize notes — you receive text materials generated by a neural network tailored to your level and goals. If you are already familiar with 4G, the AI will skip basic topics and go straight to 5G differences. If you are a beginner, it will explain from scratch in simple language.

Learning is available 24/7: you study at a convenient pace, return to difficult parts, ask questions, and receive detailed answers. The AI tutor (built-in assistant) helps you understand terms but does not respond in chat — it generates lessons and assignments. Practical exercises include Docker commands, configuration files, log analysis — everything needed for real work.

Why AI Learning Is Effective

Traditional courses often suffer from a one-size-fits-all approach: one student finds it too easy, another too hard. The asibiont.com neural network adapts the program dynamically. For example, if you quickly grasp Network Slicing, the AI will offer advanced scenarios with QoS and policies. If mmWave is challenging, it will generate additional explanations and examples.

Moreover, AI explains complex concepts in simple language. Instead of dry definitions, you get analogies: "Network Slicing is like dedicated lanes on a highway for different types of transport." This approach accelerates understanding and retention.

Practical Example: Deploying 5G Core in Docker

One of the key practical modules is launching Open5GS and UERANSIM. Here's how it looks in reality:

1. Install Docker and Docker Compose.
2. Clone the Open5GS repository: git clone https://github.com/open5gs/open5gs.
3. Build and run the containers: docker-compose up -d.
4. Configure UERANSIM: in the file ueransim/config/gnb.yaml, specify the AMF address.
5. Start gNB and UE: ./nr-gnb -c config/gnb.yaml and ./nr-ue -c config/ue.yaml.
6. Verify UE registration in the network and establish a PDU session.

You will perform these steps under the guidance of AI, which will tell you how to fix errors and optimize the configuration.

Who Will Benefit from the Course

The course will be useful for:

• Operations engineers who want to understand 5G inside out.
• Developers creating applications for 5G (URLLC, MEC).
• System architects designing next-generation networks.
• Technical managers who need to make decisions about 5G implementation.

If you want to become a sought-after specialist in telecommunications, this course is your fast start.

Start Learning Today

5G technologies are changing the world, and specialists who understand them will be in demand. The course "Telecommunications — 5G and Next-Generation Networks" on asibiont.com provides not just theory but practical skills that can be applied immediately. AI learning makes the process flexible and personalized, and the text format allows you to learn anywhere and anytime.

Ready to master the profession of the future? Go to the course page and start learning: Telecommunications — 5G and Next-Generation Networks.

Sources: 3GPP TS 23.501, TS 38.300; O-RAN Alliance WG1; GSMA Intelligence (2025).