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IEEE PIMRC 2025
The IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) is one of the flagship conferences of the IEEE Communications Society and a premier global forum for the latest advances in wireless communications and networking. Since its launch in 1989, PIMRC has grown into a leading venue where academia, industry, and policy experts come together to discuss breakthroughs shaping the future of connectivity.
The 36th edition of PIMRC will take place in Istanbul, Türkiye, from 1 to 4 September 2025. It will feature a rich program of keynotes, tutorials, technical sessions, panels, and industry exhibitions. The conference will cover topics ranging from next-generation wireless systems and AI-native networking to cutting-edge applications across verticals.
Tutorial by 6GESS
6G-Enabled Digital Twins for Verticals: Architecture, Platforms, and Use-Cases
Presenters
- Associate Professor Mehdi Rasti (Centre for Wireless Communications & Water, Energy and Environmental Engineering, University of Oulu)
- Dr. Abdelhak Kharbouch (Centre for Wireless Communications, University of Oulu)
This tutorial explores how 6G-enabled digital twins (DTs) can transform vertical industries such as smart grids, smart cities, and transportation. It introduces 6G connectivity and beyond-connectivity services, key performance indicators (KPIs), and current digital twin platforms. The session also examines how O-RAN’s openness and programmability align with 6G’s vision of flexible, AI-native networks.
Key topics include:
- Applications of digital twins in verticals
- 6G connectivity vision, KPIs, and industry relevance
- State-of-the-art in distributed digital twins
- Platforms and architectures: open-source and commercial
- Research challenges: scalability, interoperability, security, privacy, trust
- The path towards AI-native and autonomous DTs over 6G
Panel Participation
6G Current Reality and Future Promise: from Standards to Future Research
- Professor Mehdi Bennis (University of Oulu)
This panel brings together global experts to discuss the current state of 6G development and its future promise.
The discussion spans the journey from standardisation to emerging research challenges, highlighting the interplay between technology, regulation, and innovation in shaping the next generation of mobile networks.
More details: PIMRC 2025 Special Session
Paper Presentation by 6G Flagship
Optimized Microstrip Selection and Beamformer Design in Dynamic Metasurface Antennas
Authors
- Abdolrasoul Sakhaei Gharagezlou (University of Oulu)
- Zeinab Askari Donbeh (University of Oulu)
- Mehdi Monemi (University of Oulu)
- Mehdi Rasti (University of Oulu)
- Samad Ali (University of Oulu)
- Matti Latva-aho (University of Oulu)
This contribution introduces a dynamic hybrid beamforming architecture for dynamic metasurface antennas (DMAs). Leveraging a switching network connected to the DMA structure enables efficient microstrip selection. By jointly optimizing microstrip choice and beamformer design, the architecture can maximize achievable rate while minimizing RF power consumption in near-field communication systems.
Paper Presentation by 6G Flagship
Second-Order Meta Distribution Reliability Analysis and its Application for UWB THz Networks
📍 Room T1-19
Authors
- Mehdi Monemi (University of Oulu)
- Mehdi Rasti (University of Oulu)
- Matti Latva-aho (University of Oulu)
- Martin Haenggi (University of Notre Dame)
This paper introduces a framework for applying beyond first-order spatiotemporal reliability analysis of wireless networks. Specifically, the authors analyze a second-order meta distribution reliability in the spatial-spectral-temporal domain for wideband frequency-hopping THz networks, offering new insights into the design and performance of next-generation ultra-wideband systems.
Paper Presentation by 6G Flagship
Multi-Objective Q-Learning for Transmission Power Allocation in Optical Wireless and RF Heterogeneous Networks
Authors
- Mohammad Khalili (University of Oulu)
- Mohammad Farhoudi (University of Oulu)
- Marcos Katz (University of Oulu)
- Konstantin Mikhaylov (University of Oulu)
This paper introduces a multi-objective Q-learning framework for transmission power allocation in heterogeneous networks combining optical wireless and RF technologies. Unlike conventional reinforcement learning methods that merge multiple rewards into a single scalar value, the framework maintains separate Q-values for each state–action–reward tuple. This enables richer learning dynamics and better adaptability in complex, real-world environments.