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cs.IT2025

Inferring the Chemotaxis Distortion Function from Cellular Decision Strategies

Fardad Vakilipoor, Johannes Konrad, Maximilian Schäfer

Cellular intelligence enables cells to process environmental signals and make context-dependent decisions, as exemplified by chemotaxis, where cells navigate chemical gradients des…

cs.IT2023

Achievable Information Rate Analysis in Diffusive Channels with Memory and Markov Source

Fardad Vakilipoor, Luca Barletta, Stefano Bregni +1

This paper explores the Achievable Information Rate (AIR) of a diffusive Molecular Communication (MC) channel featuring a fully absorbing receiver that counts the absorbed particle…

cs.IT2023

Achievable Rate Analysis in Molecular Channels with Reset-Counting Fully Absorbing Receivers

Fardad Vakilipoor, Luca Barletta, Stefano Bregni +1

In this paper, we investigate the achievable rate of a diffusive Molecular Communication (MC) channel with fully absorbing receiver, which counts particles absorbed along each symb…

cs.IT2023

Heuristic Barycenter Modeling of Fully Absorbing Receivers in Diffusive Molecular Communication Channels

Fardad Vakilipoor, Abdulhamid N. M. Ansari, Maurizio Magarini

In a recent paper it has been shown that to model a diffusive molecular communication (MC) channel with multiple fully absorbing (FA) receivers, these can be interpreted as sources…

cs.IT2021

Asymptotic MIMO Channel Model for Diffusive MC with Fully-absorbing Receivers

Fardad Vakilipoor, Marco Ferrari, Maurizio Magarini

This letter introduces an analytical model that gives the asymptotic cumulative number of molecules absorbed by spherical receivers in a diffusive multiple-input multiple-output (M…