Company Name: Bayern Innovativ GmbH
Expertise offered:
Bayern Innovativ, through its Thinknet 6G platform, is interested in participating in HORIZON-JU-SNS-2026-STREAM-CSA-01. Thinknet 6G is a well-established and widely recognised platform within the European 6G ecosystem, connecting research organisations, industry, SMEs, start-ups, public authorities, and policy stakeholders. Our core mission is to support community building, coordination, knowledge exchange, visibility, and strategic alignment across European 6G initiatives, in line with the objectives of the SNS Joint Undertaking. We bring substantial operational experience in the organisation of large-scale European events, including conferences, exhibitions, and hybrid formats, covering programme design, stakeholder coordination, logistics, communication, and follow-up. A flagship activity is the Thinknet[...]
Company Name: Wupatec
Expertise offered:
Wupatec is a French startup specializing in advanced RF solutions and physical-layer front-end optimization. With over a decade of experience leveraging the latest generations of RFSoC, 5 patents in system efficiency, and deep expertise in RF design, we are actively looking for partners to join a consortium for the SNS JU Call C-01. Our goal is to test and integrate a full RFFE/DFE within the 6G NTN/NT context. We bring high-level expertise in: Design, integration, and optimization of RFFEs/DFEs; Custom RFSoC/FPGA development for communication systems; DPD/CFR linearization algorithms; High-efficiency PA design; New: Our recently launched testing platform/transceiver for FR1 and[...]
Company Name: IRT B-COM
Expertise offered:
xG Cellular networks and signal processing: RAN 5G/6G architectures, Signal processing (detection, synchronisation, channel estimation, new waveforms, full duplex), Corrector codes/FEC (LDPC, polar codes, turbocodes), Radio ressources allocation/ MAC layer scheduling, Terrestrial Network/ Non Terrestrial networks Hardware studies: HW/RF board designs, FPGA developments for communication systems (FEC, low-PHY, DFE) Software architecture and developpment: SDR approach, Layer 1/layer 2, real time Integration, tests & deploiements xG: E2E tests: UE, RAN, CORE, Applications, RF performances tests Radio coverage studies, On -field deploiements and uses cases Data, Signals & Mathematical Foundations: Radio, physiological & time-series signal processing, Statistics, stochastic modeling & optimization, Data[...]
Company Name: University of Oulu
Expertise offered:
My primary research interests are in communication theory, signal processing, convex and distributed optimisation theory, and their applications to low-complexity, energy-efficient solutions for multi-antenna wireless systems. Specific research topics include: low-resolution and 1-bit massive MIMO, extremely large MIMO (XL-MIMO) and holographic MIMO, distributed and cell-free massive MIMO.
Company Name: VIAVI Solutions
Expertise offered:
VIAVI has extensive experience contributing to many funded collaborative and consortium projects including within HORIZON and 6G-SNS programmes as well as nationally-funded projects for UK DSIT and the US NTIA. VIAVI offers significant contribution to a wide variety of research areas including those described below. DATA ACQUISITION: Network telemetry, traces, geolocation, active test, fibre monitoring, RF scanning/capture and LIDAR. SIMULATION, MODELLING, DIGITAL TWIN & NETWORK APIS: Creation of models for wireless & fixed access, RF, fibre, subscribers, transport, core and the physical environment. Incorporating hybrid data sources including simulated and generative synthetic data, along with physical network data. Application of[...]
Company Name: Istinye University
Expertise offered:
Signal Processing and Machine Learning (SPML) Laboratory at Istinye University offers expertise on: Beyond-5G and 6G Physical Layer Design Advanced waveform, modulation, and signal processing techniques for future smart networks, emphasizing scalability, robustness, and hardware-aware designs. AI-Assisted and AI-Native 6G Systems Machine learning–enabled physical-layer and cross-layer solutions for 6G, including AI-driven channel estimation, beamforming, beam management, and adaptive transceiver design. Focus on model-based, data-driven, and hybrid learning approaches ensuring interpretability, generalization, and low complexity. Advanced Multi-Antenna Systems (Massive MIMO & XL-MIMO) Hybrid architectures, near-field channel modeling, and signal processing for extremely large antenna arrays across sub-6 GHz, mmWave, and THz[...]