Search Results for author: Ove Edfors

Found 8 papers, 1 papers with code

6G Radio Testbeds: Requirements, Trends, and Approaches

no code implementations13 Sep 2023 Gilles Callebaut, Liang Liu, Thomas Eriksson, Liesbet Van der Perre, Ove Edfors, Christian Fager

The proof of the pudding is in the eating - that is why 6G testbeds are essential in the progress towards the next generation of wireless networks.

The LuViRA Dataset: Measurement Description

1 code implementation10 Feb 2023 Ilayda Yaman, Guoda Tian, Martin Larsson, Patrik Persson, Michiel Sandra, Alexander Dürr, Erik Tegler, Nikhil Challa, Henrik Garde, Fredrik Tufvesson, Kalle Åström, Ove Edfors, Steffen Malkowsky, Liang Liu

We present a dataset to evaluate localization algorithms, which utilizes vision, audio, and radio sensors: the Lund University Vision, Radio, and Audio (LuViRA) Dataset.

Image Classification

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

no code implementations7 Sep 2021 MinKeun Chung, Liang Liu, Andreas Johansson, Sara Gunnarsson, Martin Nilsson, Zhinong Ying, Olof Zander, Kamal Samanta, Chris Clifton, Toshiyuki Koimori, Shinya Morita, Satoshi Taniguchi, Fredrik Tufvesson, Ove Edfors

The UEs are equipped with a beam-switchable antenna array for real-time antenna selection where the one with the highest channel magnitude, out of four pre-defined beams, is selected.

Distributed and Scalable Uplink Processing for LIS: Algorithm, Architecture, and Design Trade-offs

no code implementations9 Dec 2020 Jesus Rodriguez Sanchez, Fredrik Rusek, Ove Edfors, Liang Liu

The Large Intelligent Surface (LIS) is a promising technology in the areas of wireless communication, remote sensing and positioning.

Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition

no code implementations1 Dec 2020 Juan Vidal Alegría, Fredrik Rusek, Ove Edfors

To do so, we propose a general framework for centralized/decentralized architectures that can explore said interplay by adjusting some system parameters, namely the number of connections to the CPU (level of decentralization), and the number of multiplications/outputs per antenna (complexity/interconnection bandwidth).

Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation

no code implementations14 Jan 2020 Jesus Rodriguez Sanchez, Ove Edfors, Fredrik Rusek, Liang Liu

The Large Intelligent Surface (LIS) concept has emerged recently as a new paradigm for wireless communication, remote sensing and positioning.

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