From the 1 of 19 papers with an AI index.
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- Tampere University of Applied SciencesFI4 papers
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- University of JyväskyläFI2 papers
- Aalto UniversityFI1 paper
- Aarhus UniversityDK1 paper
- Carleton UniversityCA1 paper
- Chalmers University of TechnologySE1 paper
- Finland UniversityFI1 paper
- IE UniversityES1 paper
- Institute for Advanced Studies in Basic SciencesIR1 paper
- Mid Sweden UniversitySE1 paper
- Netherlands Institute for Radio AstronomyNL1 paper
3 papers · 1 filter
Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range
Han Zhou, Haojie Chang, David Widen
This article presents a deep learning-driven inverse design methodology for Doherty power amplifiers (PA) with multi-port pixelated output combiner networks. A deep convolutional n…
A Novel CSI-RS Reporting Scheme for RIS Optimization in O-RAN-based NextG Networks
Ali Fuat Sahin, Sefa Kayraklik, Ali Gorcin +3
Reconfigurable intelligent surface (RIS) technology is a promising enabler for next-generation (NextG) wireless systems, capable of dynamically shaping the propagation environment.…
The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems
Muhammad Umar Farooq Qaisar, Weijie Yuan, Onur Günlü +6
The commencement of the sixth-generation (6G) wireless networks represents a fundamental shift in the integration of communication and sensing technologies to support next-generati…