Deterministic identification for molecular communications over the Poisson channel

MJ Salariseddigh, V Jamali, U Pereg… - … , Biological and Multi …, 2023 - ieeexplore.ieee.org
Various applications of molecular communications (MC) are event-triggered, and, as a
consequence, the prevalent Shannon capacity may not be the right measure for …

Deterministic K-Identification for MC Poisson Channel With Inter-Symbol Interference

MJ Salariseddigh, V Jamali, U Pereg… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Various applications of molecular communications (MCs) feature an alarm-prompt behavior
for which the prevalent Shannon capacity may not be the appropriate performance metric …

Deterministic k-identification for binary symmetric channel

O Dabbabi, MJ Salariseddigh… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Deterministic K-Identification (DKI) for the binary symmetric channel (BSC) is developed. A
full characterization of the DKI capacity for such a channel, with and without the Hamming …

Deterministic K-Identification for Future Communication Networks: The Binary Symmetric Channel Results

MJ Salariseddigh, O Dabbabi, C Deppe, H Boche - Future Internet, 2024 - mdpi.com
Numerous applications of the Internet of Things (IoT) feature an event recognition behavior
where the established Shannon capacity is not authorized to be the central performance …

Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity

L Barletta, I Zieder, A Favano… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This work considers a binomial noise channel. The paper can be roughly divided into two
parts. The first part is concerned with the properties of the capacity-achieving distribution. In …

Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity

I Zieder, A Favano, L Barletta, A Dytso - arXiv preprint arXiv:2401.12818, 2024 - arxiv.org
This work considers a binomial noise channel. The paper can be roughly divided into two
parts. The first part is concerned with the properties of the capacity-achieving distribution. In …

Information Theoretic Bounds for Capacity and Bayesian Risk

I Zieder - 2024 - search.proquest.com
In this dissertation, the problem of finding lower error bounds on the minimum mean-
squared error (MMSE) and the maximum capacity achieving distribution for a specific …