Next-Generation Cellular Networks

Integration of edge computing with cellular infrastructure and architectural evolution for beyond-5G networks

6G architectureedge-cellular integrationnetwork slicingedge computingcellular infrastructuredistributed intelligence

Research Impact

Publications3
Active Projects1
Team Members5

Next-generation cellular networks (beyond 5G, toward 6G) require fundamental architectural evolution to support emerging applications demanding ultra-low latency, high reliability, and ubiquitous connectivity. Current cellular architectures separate network functions from application infrastructure, requiring applications to access computational resources through multiple network hops that add latency. Emerging applications including extended reality, autonomous systems, and distributed AI workloads cannot tolerate this latency overhead. Network function virtualization and edge computing promise to address these challenges by co-locating computation with cellular base stations, but integrating edge orchestration with cellular infrastructure management—which operate under different administrative domains, use distinct control planes, and have differing resource allocation models—remains an open challenge. Furthermore, the vision of seamless integration between terrestrial cellular, satellite networks, and edge computing requires unified architectures spanning heterogeneous access technologies and infrastructure tiers.

Our research explores integration of edge computing with cellular infrastructure, investigating how edge orchestration frameworks can coordinate with cellular network management to enable low-latency application deployment. We examine architectural approaches for the edge-cloud continuum in cellular contexts, exploring hierarchical orchestration that spans cellular base stations (far-edge), regional edge data centers, and cloud resources. Work on network slicing investigates resource virtualization enabling dedicated logical networks for different application classes on shared physical infrastructure. We study protocols and mechanisms for ultra-reliable low-latency communication that leverage edge computing placement to minimize unavoidable propagation delays. Our research connects edge orchestration capabilities with cellular infrastructure, exploring how applications can benefit from cellular network's knowledge of user mobility, channel conditions, and QoS capabilities. We contribute to discussions on 6G architecture evolution, exploring how Internet architecture principles and edge computing paradigms can inform next-generation cellular design. Research directions include AI-driven network management, satellite-terrestrial integration for cellular networks, energy efficiency across edge-cellular infrastructure, and architectural extensibility enabling future protocol and application innovation.

Publications

Conference6G Networking

Transforming the Internet with 6G: Towards Architectural Extensibility

European Conference on Networks and Communications and 6G Summit
Aleksandr Zavodovski
Nitinder Mohan
Nitinder Mohan
Abhishek Kumar
Sasu Tarkoma
Jussi Kangasharju
Ari Pouttu
PDFDOI
Scholar
No citations yet
EuCNC
JournalSatellite Networking

Multipath Transport Analysis over Cellular and LEO Access for Aerial Vehicles

IEEE Access
Aygun Baltaci
Kaushik Chavali
Mike Kosek
Nitinder Mohan
Nitinder Mohan
Dominic Schupke
Jörg Ott
PDFDOI
Scholar
No citations yet
Access
Artifacts Available
Artifacts Evaluated Functional
Results Reproduced
Conference6G Networking

nextGSIM: Towards Simulating Network Resource Management for Beyond 5G Networks

Future Networks World Forum
Alba Jano
Mehmet Mert Bese
Mehmet Mert Bese
Nitinder Mohan
Nitinder Mohan
Wolfgang Kellerer
Jörg Ott
Best Paper Award
PDFCode
Scholar
No citations yet
FNWF

News

Awards & Recognition

2023IEEE6GSimulation

IEEE Future Networks Best Paper Award

IEEE Future Networks World Forum

Awarded for developing a comprehensive simulation framework for 6G networks enabling evaluation of network resource management strategies.

IEEE Future Networks Best Paper Award

Project Funding

Active Funding

🇳🇱

6G Future Network Services Growth Fund

Organization: NWO Netherlands
Period: 2025-present
Role: Co-Principal Investigator

Research on next-generation 6G network services and edge computing architectures. Developing innovative solutions for future network infrastructure including intelligent edge orchestration, distributed AI workloads, and sustainable network design.

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Previous Funding

🇩🇪

6G Life

Organization: BMBF Germany
Period: 2021-2024
Role: Participant (TUM)

Large-scale German national project on 6G technologies and future network architectures. Advanced research on next-generation cellular networks, edge computing, and intelligent connectivity.

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🇩🇪

6G Future Lab

Organization: Bavarian State Ministry
Period: 2021-2024
Role: Co-Principal Investigator

Bavarian state-funded initiative for 6G research and development. Focused on edge-cloud integration, network orchestration, and future mobile communication systems.

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🇩🇪

Virtual Mobility World (ViM)

Organization: Bavarian State Government
Period: 2020-2021
Role: Participant

Research on virtual mobility solutions and edge computing for automotive applications. Developed infrastructure for vehicle-to-everything communications and mobile edge services.

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Invited Talks & Panels

COMSNETS·Panel

Flying Networks: Where Do Drones and Satellites Lead Us?

International Conference on Communication Systems & Networks (COMSNETS)
LEO SatellitesDronesNetworking
Lorentz

Beyond 5G View

Beyond the Mobile-Cloud Computing Paradigm, Lorentz Center
Leiden, Netherlands
5GEdge ComputingMobile Computing

Thesis Projects

View all

Available Theses

MASTER

Secure network function/application orchestration in edge

How can applications share the environment and hardware in edge platforms while maintaining security boundaries and preventing unauthorized access?

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MASTER

Towards dynamic and energy-aware cellular networks

Explore how cellular network configurations can evolve from static to adaptive deployments, improving energy efficiency and user experience through machine learning and optimization techniques.

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Running Theses

MASTER

Efficient 6G Edge Testbed

Student: George Latsev

Year: 2025

Recent Completed Theses

BACHELOR

Characterizing traffic destinations and temporal trends for adaptive network resource management in 5G/6G networks

Student: Vlad-Ioan Dragutoiu

Year: 2025

BACHELOR

Traffic analysis and forecasting for adaptive network resource management in 5G/6G networks

Student: Georgescu Calin-Stefan

Year: 2025

BACHELOR

Traffic analysis and forecasting for adaptive network resource management in 5G/6G networks

Student: Oliwier Jurek

Year: 2025

BACHELOR

Stress Testing Open5GS UPF Implementation

Student: Kevin Ji Shan

Year: 2025

BACHELOR

Synthetic 5G Traffic Generation: A Machine Learning Approach

Student: Karsen Cedric van der Deijl

Year: 2025