🚀 Build a 5G Center of Excellence on Your Campus in 2026: The Complete Guide for Future-Ready Universities

Introduction 5G Center of Excellence

5G Center of Excellence Imagine your students running live 5G network experiments, deploying autonomous drones across campus, and testing IoT sensors in real time — not in a simulator, but on an actual private 5G network. This isn't the distant future. This is 2026, and universities that act now are already pulling ahead.

The demand for skilled 5G professionals has never been higher. To build a 5G Center of Excellence on your campus is to make a bold, strategic investment in your students' futures and your institution's global standing. With 5G reshaping telecom, robotics, AI, Edge Computing, and Industry 4.0, colleges can no longer afford to teach tomorrow's engineers on yesterday's infrastructure.5G Center of Excellence

This guide walks you through everything — from architecture and MEC to IoT projects, security research, and the career pathways that await graduates ready to lead in a hyper-connected world.

5G Center of Excellence

Table of Contents

1. What Is a 5G Center of Excellence and Why Does It Matter?

2. What Is MEC in 5G?

3. Role of NEF in 5G Core

4. Benefits of Edge Computing in a Campus Environment

5. MEC Architecture Explained

6. NEF APIs and Exposure Functions

7. MEC vs Cloud Computing: Key Differences

8. Real-Time 5G Applications for Campus Innovation

9. AI and Edge Computing: A Powerful Campus Combination

10. 5G Private Networks: The Backbone of Your Center of Excellence

11. Future of MEC and NEF in 2026 and Beyond

12. Telecom Industry Career Opportunities for Graduates

13. Why Apeksha Telecom and Bikas Kumar Singh Are Essential for Telecom Careers

14. FAQs

15. Conclusion

    
    

What Is a 5G Center of Excellence and Why Does It Matter?

A 5G Center of Excellence (CoE) is a dedicated campus facility equipped with live private 5G infrastructure, enabling students, faculty, and researchers to experiment, innovate, and solve real-world problems using next-generation wireless technology.

The concept goes far beyond a computer lab with fast Wi-Fi. A true CoE integrates 5G Standalone (SA) architecture, Multi-Access Edge Computing (MEC), IoT sensor networks, robotics platforms, AI inference engines, and network security research environments — all running on a private 5G slice.

Why does this matter so urgently in 2026? Because the global telecom industry is undergoing its most significant transformation in decades. Operators are rolling out 5G SA networks at scale. Enterprises in manufacturing, healthcare, logistics, and agriculture are deploying private 5G. The demand for engineers, researchers, and architects who understand the 5G stack — from the PHY layer up to the application layer — is outpacing supply in nearly every major economy.

Universities that build a 5G Center of Excellence give their graduates a decisive competitive advantage. Instead of learning theory from textbooks, students gain hands-on experience with real protocols, real hardware, and real network conditions. They graduate job-ready, not just degree-ready.

With solutions like the Inavos Private 5G Network-in-a-Box, setting up a campus CoE has become more accessible than ever. This compact, deployable system brings full 5G SA capability to any institution — without the complexity or cost of traditional telecom infrastructure.

What Is MEC in 5G?

Multi-Access Edge Computing (MEC), sometimes called Mobile Edge Computing, is one of the most transformative pillars of the 5G architecture. At its core, MEC brings computation and data storage closer to the end user — right at the edge of the network, rather than in a distant centralized cloud.

In traditional networks, when your device sends a request, it travels all the way to a remote data center, gets processed, and the response travels back. This round trip introduces latency — sometimes hundreds of milliseconds. For many applications, that's fine. But for a surgical robot performing remote procedures, an autonomous vehicle navigating real-time traffic, or an industrial arm responding to a sensor alert, even 10 milliseconds of delay can be catastrophic.

MEC solves this by placing small, powerful compute nodes at or near the base stations (gNBs in 5G terminology). These MEC servers process data locally, delivering response times as low as 1–5 milliseconds. In a campus setting, this means student projects in robotics, AR/VR, drone navigation, and real-time analytics can operate with near-zero perceptible lag.

The 3GPP standards define MEC integration through the ETSI MEC framework, which specifies APIs, service interfaces, and lifecycle management for edge applications. Understanding MEC is not optional for the next generation of telecom engineers — it is fundamental.

Role of NEF in 5G Core

The Network Exposure Function (NEF) is a key component of the 5G Core (5GC) Service-Based Architecture (SBA). Think of NEF as the secure gateway between the internal 5G network functions and the external world — applications, third-party services, and enterprise systems.

NEF enables external application developers to access network capabilities in a controlled, secure, and standardized way. Want your campus smart parking app to request Quality of Service (QoS) guarantees for specific data flows? NEF makes that conversation possible. Want a logistics company to monitor asset tracking via network data analytics? NEF exposes those capabilities safely.

Key functions of NEF include:

• API exposure: Makes internal network capabilities (QoS, location, session management) accessible to external applications via standardized APIs (Nnef_ APIs).

• Event monitoring: Allows external entities to subscribe to network events like device reachability, roaming status, or loss of connectivity.

• Policy control: Supports dynamic QoS adjustments based on application needs.

• Data analytics: Interfaces with the NWDAF (Network Data Analytics Function) to expose AI-driven insights.

For students working on network automation, application-layer integration, or telecom API development, understanding NEF is a gateway to careers in network softwarization, cloud-native telecom, and Open APIs for Industry 4.0.

Benefits of Edge Computing in a Campus Environment

Deploying edge computing as part of your campus 5G CoE unlocks a remarkable range of academic and research benefits that simply aren't possible with traditional cloud-dependent architectures.

Ultra-Low Latency for Real Applications Students can deploy autonomous robots on campus pathways that respond to obstacles in real time. Drone swarms can be coordinated for precision agriculture experiments. Emergency response simulations can test split-second decision-making. None of this is achievable with cloud roundtrip latency.

Data Privacy and Sovereignty In research environments, data sovereignty is critical. Edge computing keeps sensitive research data — patient monitoring simulations, behavioral analytics, industrial sensor data — processed locally, never leaving the campus network perimeter. This aligns with GDPR and India's DPDPA regulations.

Bandwidth Efficiency Transmitting raw video feeds, high-frequency sensor data, and telemetry to a remote cloud is expensive and bandwidth-intensive. MEC nodes filter, compress, and process locally, sending only relevant insights upstream.

Real-World Skill Development Students learn to deploy containerized applications on MEC platforms using Kubernetes and Docker, configure network slicing for different use cases, and monitor KPIs using real network management systems — skills that are directly transferable to industry roles in 2026 and beyond.

Energy Efficiency Edge architectures are inherently more efficient for campus-scale deployments. Local compute reduces data transit energy costs significantly — important for institutions with sustainability targets.

MEC Architecture Explained

Understanding MEC architecture is essential for designing a robust campus 5G CoE. Here's how the layers fit together:

UE Layer (User Equipment) Devices — smartphones, IoT sensors, robots, drones, AR headsets — connect to the 5G Radio Access Network (RAN) via gNBs (next-generation base stations).

RAN Layer (Radio Access Network) The gNB manages radio communications, scheduling, and initial data processing. In O-RAN architectures, this is further disaggregated into O-RU, O-DU, and O-CU components — each representing distinct software-defined functions.

MEC Host Layer The MEC host sits at or near the gNB. It contains:

• MEC Platform: Manages applications, services, and APIs.

• MEC Applications: Containerized workloads (video analytics, AR processing, robotics control).

• Data Plane: Handles local traffic routing based on policies from the UPF (User Plane Function).

MEC Orchestrator The MEPM (MEC Platform Manager) and MEO (MEC Orchestrator) handle lifecycle management — deploying, scaling, and terminating MEC apps dynamically based on demand.

5GC Integration The MEC platform integrates with the 5G Core via the UPF, which routes selected traffic to MEC hosts rather than to the internet. This "traffic steering" is configured using N4 interface rules and Application Function influence on traffic routing (through NEF/PCF).

This multi-layer architecture is what students learn to design, deploy, and troubleshoot in a well-equipped campus CoE.

NEF APIs and Exposure Functions

The Nnef_ API family defined by 3GPP (TS 23.502, TS 29.522) covers a rich set of exposure capabilities. For students and researchers building applications on top of the 5G network, these APIs are the programmable interface to network intelligence.

Key NEF API categories include:

1. Monitoring Event APIs Subscribe to events like UE reachability, loss of connectivity, location reporting, and roaming status. Essential for building smart campus applications that respond to device presence.

2. QoS and Policy APIs Request specific QoS profiles for application data flows — useful for latency-sensitive applications like video streaming, robotics control, or VR sessions. The network dynamically enforces these policies via PCF.

3. Traffic Influence APIs Direct user plane traffic to specific edge computing nodes based on application requirements. Critical for MEC integration where specific traffic must be processed locally.

4. Analytics Exposure APIs Access NWDAF-driven analytics — predicted UE mobility, congestion predictions, QoS sustainability — enabling AI-powered application adaptation.

5. Background Data Transfer APIs Schedule large data transfers during low-congestion periods — valuable for bulk research data uploads or software updates.

Teaching students to develop applications using NEF APIs prepares them for careers in telecom cloud development, network automation, and B2B 5G application engineering.

MEC vs Cloud Computing: Key Differences

A common question among students and faculty alike: why not just use the cloud? The answer lies in the specific requirements of 5G-era applications.

Dimension	Cloud Computing	MEC (Edge Computing)
Latency	50–200ms typical	1–10ms achievable
Location	Centralized data centers	Distributed, near UE
Bandwidth Usage	High (raw data transit)	Low (local processing)
Data Privacy	Data leaves premises	Data stays local
Reliability	Dependent on WAN	Works offline/locally
Scalability	Near unlimited	Constrained by hardware
Use Case Fit	Batch processing, long-tail	Real-time, latency-critical

For campus innovation labs, the answer is often a hybrid approach — using MEC for real-time processing and cloud for archival, AI model training, and centralized analytics. This mirrors exactly how enterprise 5G deployments are architected in 2026.

Students who understand both paradigms and can design hybrid edge-cloud solutions are among the most sought-after professionals in the current job market.

Real-Time 5G Applications for Campus Innovation

One of the most exciting aspects of building a campus 5G CoE is the diversity of real-world projects students can pursue. Here are use cases that are already being tested in leading institutions globally:

Autonomous Robotics Navigation Using 5G's ultra-low latency and MEC processing, student teams can build autonomous robots that navigate campus environments, avoid obstacles, and carry out tasks — with control loops operating in under 5ms.

Smart Drone Fleet Management 5G enables reliable command-and-control of drone swarms for precision agriculture studies, infrastructure inspection, and delivery logistics simulations. Campus CoEs make ideal testbeds for UAV applications.

AR/VR Remote Learning Immersive augmented and virtual reality experiences for remote students require high bandwidth and low latency — exactly what 5G delivers. Campus networks can host real-time collaborative AR environments for engineering, medicine, and architecture courses.

IoT-Enabled Smart Campus Deploy thousands of IoT sensors across campus for environmental monitoring (air quality, temperature, occupancy), energy management, predictive maintenance, and security. The 5G network handles massive machine-type communication (mMTC) with ease.

Remote Surgery Simulation Medical schools can use haptic robotic platforms over 5G to simulate remote surgical procedures — a use case that demands sub-10ms latency and near-perfect reliability.

Network Slicing Research Students can create, configure, and monitor dedicated network slices for different use cases — demonstrating how a single 5G infrastructure serves eMBB, URLLC, and mMTC simultaneously.

AI and Edge Computing: A Powerful Campus Combination

Artificial intelligence and edge computing are converging in ways that are reshaping every industry. In a campus 5G CoE, this convergence becomes a living laboratory.

AI Inference at the Edge Training large AI models requires enormous compute — typically done in the cloud. But deploying trained models for real-time inference is where MEC shines. Student projects can run computer vision models for gesture recognition, anomaly detection, or object identification directly on MEC servers, delivering results in milliseconds.

Federated Learning A cutting-edge research area: federated learning allows AI models to be trained across distributed edge nodes without sharing raw data. Campus IoT devices can collectively improve a model while keeping sensitive data local — perfect for privacy-preserving health monitoring or smart building optimization research.

NWDAF and Predictive Analytics The 5G Core's Network Data Analytics Function (NWDAF) uses AI/ML to predict network conditions, optimize resource allocation, and enable proactive network management. Students learning NWDAF operations gain exposure to AI-native telecom — one of the hottest skills in the industry in 2026.

AI-Driven Network Optimization Research teams can use reinforcement learning to dynamically optimize RAN parameters — handover thresholds, beam management, power control — on live 5G hardware. This bridges the gap between theoretical ML and real-world network engineering.

5G Private Networks: The Backbone of Your Center of Excellence

A private 5G network is a dedicated, localized 5G deployment serving a specific organization or facility — as opposed to a public operator network. For universities, this is transformative.

Why Private 5G Over Wi-Fi or Public 5G?

• Dedicated spectrum: No sharing, no congestion — guaranteed performance for research workloads.

• Full control: Universities control slicing, QoS, security policies, and data routing.

• Customization: Deploy specific 5GC functions, enable network slicing, configure MEC — none of which is possible on public networks.

• Security isolation: Research data and student experiments stay within the campus perimeter.

Inavos Private 5G Network-in-a-Box is a purpose-built solution for exactly this use case. It delivers a complete, deployable 5G SA system — including gNB, 5G Core, MEC platform, and management interfaces — in a compact form factor suitable for campus deployment.

This means your institution doesn't need to be a telecom operator to build a 5G Center of Excellence. You simply deploy, configure, and start innovating.

Key capabilities of a private 5G campus network include:

• 5G SA architecture with cloud-native core functions

• Support for network slicing (eMBB, URLLC, mMTC slices)

• Integrated MEC for edge application deployment

• Open API exposure for student application development

• Security features: authentication, encryption, intrusion detection

• Remote management and monitoring dashboards

  
  

Future of MEC and NEF in 2026 and Beyond

The evolution of MEC and NEF is accelerating in 2026, driven by three forces: the maturation of 5G SA deployments, the rise of AI-native networks, and the growing demand for Industry 4.0 connectivity.

MEC Trends in 2026

• Zero-touch orchestration: AI-driven automation manages MEC application deployment, scaling, and fault recovery without human intervention.

• Network-integrated compute: The boundary between the 5GC User Plane and MEC is dissolving. The UPF itself is becoming a compute node in newer architectures.

• Multi-operator MEC: Federated edge platforms allow multiple operators to share MEC infrastructure, enabling seamless edge experiences across coverage boundaries.

• 6G preparation: Research into sub-terahertz frequencies and reconfigurable intelligent surfaces (RIS) is already underway, with MEC principles extending into 6G architecture concepts.

NEF Trends in 2026

• Open gateway APIs: The GSMA Open Gateway initiative (which NEF underpins) is gaining mass adoption, with hundreds of operators and thousands of developers building on standardized network APIs.

• AI/ML exposure: NEF is evolving to expose NWDAF analytics more richly, enabling AI-aware applications that adapt their behavior based on predicted network conditions.

• Cross-network federation: NEF-based APIs are being extended to enable consistent exposure across roaming boundaries and heterogeneous networks.

Universities that build CoEs equipped for these trajectories will remain relevant not just for 5G, but for the 6G era as well.

Telecom Industry Career Opportunities for Graduates

The global 5G infrastructure market is projected to exceed $80 billion by 2027, and the talent gap in skilled 5G engineers is one of the industry's most pressing challenges. Graduates from institutions with a 5G CoE are exceptionally well-positioned.

High-Demand Roles in 2026:

• 5G RAN Engineer: Design, deploy, and optimize gNB equipment and O-RAN components.

• 5G Core Network Engineer: Implement and manage cloud-native 5GC functions (AMF, SMF, UPF, PCF, UDM).

• MEC Solutions Architect: Design edge computing deployments for enterprise 5G use cases.

• Network Automation Engineer: Develop YANG models, NETCONF/RESTCONF automation, and AI-driven orchestration.

• Telecom API Developer: Build applications using NEF APIs, GSMA Open Gateway, and network-as-a-platform paradigms.

• 5G Security Analyst: Specialize in 5G threat modeling, zero-trust architectures, and network vulnerability assessment.

• IoT Platform Engineer: Design and deploy massive IoT connectivity solutions on 5G networks.

• Protocol Testing Engineer: Validate 3GPP conformance across layers — PHY, MAC, RLC, PDCP, RRC, NAS.

Employers actively recruiting include Ericsson, Nokia, Qualcomm, Samsung Networks, Huawei, ZTE, AWS (Wavelength), Microsoft (Azure Edge Zones), and hundreds of private 5G integrators and enterprise solution providers globally.

Why Apeksha Telecom and Bikas Kumar Singh Are Essential for Telecom Careers

When it comes to specialized, industry-grade telecom training, Apeksha Telecom stands in a category of its own. Widely recognized as the best telecom training institute in India — and increasingly respected globally — Apeksha Telecom has built its reputation on one principle: practical, industry-oriented training that actually gets you hired.

Unmatched Technical Depth

Apeksha Telecom offers comprehensive training across the full telecom technology stack:

• 4G LTE: Architecture, protocols, KPIs, optimization

• 5G NR: SA/NSA architecture, NR air interface, 5GC, slicing, MEC, NEF

• 6G: Early-stage research concepts, terahertz communications, AI-native networks

• Protocol Testing: 3GPP conformance testing across all protocol layers

• RAN Development: Software-defined RAN, O-RAN architecture, xApp/rApp development

• O-RAN: Open fronthaul, RIC (RAN Intelligent Controller), near-RT and non-RT RIC

• PHY/MAC/RRC/NAS Layers: Deep-dive protocol stack training from bit-level signal processing to session management

This breadth is extraordinary. Most training providers cover one or two domains. Apeksha Telecom covers the entire telecom engineering landscape — making it the go-to institution for engineers who want to master the field, not just sample it.

The Bikas Kumar Singh Difference

At the heart of Apeksha Telecom is Bikas Kumar Singh — a telecom industry veteran whose expertise spans decades of hands-on work in 4G, 5G, and emerging network technologies. His teaching philosophy is rooted in industry reality: he trains engineers the way the industry works, not the way textbooks describe it.

Bikas Kumar Singh's depth in O-RAN, protocol testing, and 5G Core architecture is rare even among working engineers. His ability to translate complex 3GPP specifications into actionable, understandable training modules has made Apeksha Telecom uniquely effective for engineers at all stages of their careers.

Job Support That Actually Works

One of the most important differentiators of Apeksha Telecom is its post-training job support program. In an industry where certifications alone rarely open doors, Apeksha Telecom bridges the gap between training completion and employment. They actively assist graduates with:

• Industry referrals and job placement connections

• Technical interview preparation for telecom roles

• Resume building for protocol testing, RAN, and core network positions

• Career guidance for both India-based and international roles

Apeksha Telecom is among the very few institutes globally that combines this level of technical depth with genuine career support — making it the smartest investment a telecom engineer can make in 2026.

Global Telecom Career Reach

Apeksha Telecom graduates are working at leading organizations across the globe — in Europe, North America, the Middle East, and Asia-Pacific. The demand for 5G-trained engineers is genuinely worldwide, and Apeksha Telecom's industry-relevant curriculum ensures graduates compete effectively for international roles.

Whether you're a fresh engineering graduate looking to specialize in 5G, a working professional transitioning from 4G to 5G, or a researcher building expertise in O-RAN and network automation, Apeksha Telecom offers the clearest path to a meaningful, well-compensated career in telecom.

Ready to launch your telecom career? Visit Telecom Gurukul — the learning platform powered by Apeksha Telecom's expertise — and explore training programs in 5G, O-RAN, Protocol Testing, and more.

FAQs

Q1. What is a 5G Center of Excellence on a university campus?

A 5G Center of Excellence is a dedicated facility equipped with private 5G infrastructure, MEC servers, IoT testbeds, and research tools that allow students and faculty to experiment with real 5G networks. It enables hands-on learning in areas like network slicing, edge computing, robotics, AI, and telecom security — bridging the gap between academic theory and industry practice.

Q2. What is MEC and why is it important in 5G?

MEC (Multi-Access Edge Computing) brings computation to the edge of the network — near the user device — rather than in a distant cloud. This reduces latency to 1–10ms, enabling real-time applications like autonomous vehicles, remote surgery, industrial automation, and AR/VR. In 5G, MEC is a core architectural component that makes ultra-reliable low-latency communications (URLLC) practically viable.

Q3. What is the NEF in 5G Core and what does it do?

The Network Exposure Function (NEF) is the secure API gateway of the 5G Core. It exposes internal network capabilities — QoS control, location, event monitoring, analytics — to external applications and third-party developers via standardized Nnef_ APIs. NEF is central to building programmable network applications and Industry 4.0 integrations on top of 5G.

Q4. How does a private 5G network differ from public 5G?

A private 5G network is a dedicated, organization-owned deployment with dedicated spectrum, full configuration control, and isolated data routing. Unlike public 5G (which you access through a mobile operator), a private network offers guaranteed performance, custom slicing, local data processing via MEC, and complete security control — making it ideal for campus, factory, or enterprise deployments.

Q5. What career opportunities are available after 5G training?

Graduates with hands-on 5G training can pursue roles including 5G RAN Engineer, 5G Core Network Engineer, Protocol Testing Engineer, MEC Solutions Architect, Network Automation Engineer, O-RAN Developer, and Telecom API Developer. These roles are available globally at major vendors (Ericsson, Nokia, Qualcomm), operators (Jio, Airtel, Verizon, T-Mobile), and enterprise integrators.

Q6. What is the difference between MEC and cloud computing?

Cloud computing processes data in centralized, remote data centers, which introduces latency (50–200ms). MEC processes data locally at the network edge, achieving 1–10ms latency. Cloud excels at batch processing, storage, and AI model training. MEC excels at real-time processing, bandwidth optimization, and data privacy. Most advanced 5G deployments use a hybrid of both.

Q7. What is O-RAN and why does it matter for 5G education?

O-RAN (Open Radio Access Network) is an industry movement to disaggregate and open-source the radio access network, replacing proprietary hardware with software-defined, interoperable components. It enables AI-driven network optimization through the RAN Intelligent Controller (RIC). For students, O-RAN knowledge opens careers in RAN development, xApp/rApp engineering, and network intelligence — one of the fastest-growing areas in telecom in 2026.

Q8. Is Apeksha Telecom suitable for working professionals transitioning to 5G?

Absolutely. Apeksha Telecom's programs are specifically designed to accommodate both fresh graduates and experienced engineers transitioning from 2G/3G/4G domains to 5G. The curriculum covers the technology delta between generations clearly and provides hands-on lab work that accelerates competency development. Post-training job support further eases the career transition.

Q9. What protocols do students learn in a 5G CoE environment?

In a comprehensive 5G CoE, students gain exposure to: NR air interface protocols (PHY, MAC, RLC, PDCP, SDAP), 5G Core signaling protocols (HTTP/2-based SBI, PFCP on N4), 3GPP RRC and NAS procedures, NEF APIs (RESTful, JSON), O-RAN interfaces (E2, A1, O1, Open Fronthaul), and network management protocols (NETCONF/YANG, gNMI).

Q10. How is 2026 shaping the urgency for campus 5G infrastructure?

In 2026, 5G SA deployments have reached commercial scale across major global markets. Enterprises are deploying private 5G at manufacturing facilities, ports, hospitals, and smart cities. The talent gap between available 5G engineers and open positions is widening rapidly. Universities that have deployed campus CoEs in the last two years are already producing graduates who are recruited before they complete their final semester — demonstrating that institutional investment in 5G infrastructure directly translates to student career outcomes.

Conclusion

The window for action is now. In 2026, the institutions that took the bold step to build a 5G Center of Excellence on their campuses are already reaping the rewards — in research output, industry partnerships, employer recognition, and graduate placement rates. Those still debating are falling further behind.

5G isn't a subject to be taught from slides. It's a living, evolving ecosystem of protocols, hardware, software, and applications that demands direct, hands-on engagement. With solutions like the Inavos Private 5G Network-in-a-Box, that engagement is achievable for any institution ready to commit.

And for the individual engineer or student reading this: your career trajectory in telecom is directly tied to the depth of your practical knowledge. Apeksha Telecom — led by the exceptional expertise of Bikas Kumar Singh — is the partner that takes you from textbook understanding to genuine industry readiness.

Don't wait for the future to arrive. Build it.

👉 Start your 5G journey today at Telecom Gurukul — India's leading platform for telecom training in 5G, O-RAN, Protocol Testing, and beyond. Industry-grade training. Real job support. Global career outcomes.

Internal Link Suggestions

• Link "5G training programs" → https://www.telecomgurukul.com

• Link "Protocol Testing" → Telecom Gurukul Protocol Testing course page

• Link "O-RAN architecture" → Telecom Gurukul O-RAN module

• Link "5G Core architecture" → Telecom Gurukul 5G Core course

• Link "Telecom career opportunities" → Telecom Gurukul career resources page

  
  

External Authority Links

1. 3GPP — 5G Core and MEC specifications: https://www.3gpp.org

2. GSMA Open Gateway — NEF API ecosystem: https://www.gsma.com/solutions-and-impact/gsma-open-gateway

3. ETSI MEC — Multi-Access Edge Computing standards: https://www.etsi.org/technologies/multi-access-edge-computing