no code implementations • 12 Jul 2022 • Saeid K. Dehkordi, Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe
Under this setup, we propose a likelihood function-based scheme to perform joint target detection and parameter estimation in Discovery, and high-resolution parameter estimation in Tracking mode, respectively.
no code implementations • 29 Mar 2022 • Fernando Pedraza, Saeid K. Dehkordi, Mari Kobayashi, Giuseppe Caire
In this paper, we develop a beam tracking scheme for an orthogonal frequency division multiplexing (OFDM) Integrated Sensing and Communication (ISAC) system with a hybrid digital analog (HDA) architecture operating in the millimeter wave (mmWave) band.
no code implementations • 15 Feb 2021 • Mohammad Mahdi Mahvari, Mari Kobayashi, Abdellatif Zaidi
In the context of statistical learning, the Information Bottleneck method seeks a right balance between accuracy and generalization capability through a suitable tradeoff between compression complexity, measured by minimum description length, and distortion evaluated under logarithmic loss measure.
no code implementations • 2 Feb 2021 • Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert
Multicasting, where a base station (BS) wishes to convey the same message to several user equipments (UEs), represents a common yet highly challenging wireless scenario.
Information Theory Information Theory
no code implementations • 2 Nov 2020 • Mohammad Mahdi Mahvari, Mari Kobayashi, Abdellatif Zaidi
The Information Bottleneck method is a learning technique that seeks a right balance between accuracy and generalization capability through a suitable tradeoff between compression complexity, measured by minimum description length, and distortion evaluated under logarithmic loss measure.
no code implementations • 17 Sep 2020 • Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe
The second scenario considers narrow angular beams to send information streams individually to the already detected users and simultaneously keep tracking of their respective parameters.