no code implementations • 29 Nov 2023 • Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
In this work, we study early exiting in the context of collaborative inference, which allows obtaining inference results at the edge device for certain samples, without the need to transmit the partially processed data to the edge server at all, leading to further communication savings.
no code implementations • 16 Jun 2022 • Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gunduz
Recent works have shown that modern machine learning techniques can provide an alternative approach to the long-standing joint source-channel coding (JSCC) problem.
no code implementations • 25 Nov 2021 • Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gündüz
Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques.
no code implementations • 24 May 2021 • Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
We further improve the performance of AirNet by pruning the network below the available bandwidth, and expanding it for improved robustness.
1 code implementation • 29 Apr 2021 • Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gunduz, Marios Kountouris, David Gesbert
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I) communication is a crucial yet challenging task due to the narrow mmWave beamwidth and high user mobility.
3 code implementations • 4 Feb 2021 • Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung, Szymon Kobus, Deniz Gunduz
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial yet challenging task due to the overhead imposed by beam selection.
no code implementations • 3 Nov 2020 • Ezgi Ozyilkan, Mikolaj Jankowski
We propose joint transmission-recognition schemes for efficient inference at the wireless edge.
no code implementations • 28 Sep 2020 • Deniz Gunduz, David Burth Kurka, Mikolaj Jankowski, Mohammad Mohammadi Amiri, Emre Ozfatura, Sreejith Sreekumar
Bringing the success of modern machine learning (ML) techniques to mobile devices can enable many new services and businesses, but also poses significant technical and research challenges.
no code implementations • 21 Jul 2020 • Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
We propose two alternative schemes based on digital and analog communications, respectively.
no code implementations • 4 Mar 2020 • Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
We propose a joint feature compression and transmission scheme for efficient inference at the wireless network edge.
no code implementations • 28 Oct 2019 • Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
Motivated by surveillance applications with wireless cameras or drones, we consider the problem of image retrieval over a wireless channel.