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Various applications of molecular communications (MC) are event-triggered, and, as a consequence, the prevalent Shannon capacity may not be the right measure for performance assessment. Thus, in this paper, we motivate and establish the…

Information Theory · Computer Science 2022-03-08 Mohammad Javad Salariseddigh , Uzi Pereg , Holger Boche , Christian Deppe , Vahid Jamali , Robert Schober

Several applications of molecular communications (MC) feature an alarm-prompt behavior for which the prevalent Shannon capacity may not be the appropriate performance metric. The identification capacity as an alternative measure for such…

Information Theory · Computer Science 2022-12-07 Mohammad Javad Salariseddigh , Vahid Jamali , Uzi Pereg , Holger Boche , Christian Deppe , Robert Schober

Numerous applications in the field of molecular communications (MC) such as healthcare systems are often event-driven. The conventional Shannon capacity may not be the appropriate metric for assessing performance in such cases. We propose…

Information Theory · Computer Science 2024-01-30 Wafa Labidi , Christian Deppe , Holger Boche

The Binomial channel serves as a fundamental model for molecular communication (MC) systems employing molecule-counting receivers. Here, deterministic identification (DI) is addressed for the discrete-time Binomial channels (DTBC), subject…

Information Theory · Computer Science 2023-04-26 Mohammad Javad Salariseddigh , Vahid Jamali , Holger Boche , Christian Deppe , Robert Schober

Molecular Communication (MC) is an emerging field of research focused on understanding how cells in the human body communicate and exploring potential medical applications. In theoretical analysis, the goal is to investigate cellular…

Information Theory · Computer Science 2025-12-19 Wafa Labidi , Vida Gholamian , Yaning Zhao , Christian Deppe , Holger Boche

Molecular communication (MC) enables information exchange at the nano- and microscale, with applications in areas like drug delivery and health monitoring. These event-driven scenarios often require alternatives to traditional transmission.…

Information Theory · Computer Science 2025-06-18 Yaning Zhao , Luca Miszewski , Christian Deppe , Massimiliano Pierobon

Identification capacity has been established as a relevant performance metric for various goal-/task-oriented applications, where the receiver may be interested in only a particular message that represents an event or a task. For example,…

Information Theory · Computer Science 2025-08-27 Mohammad Javad Salariseddigh , Heinz Koeppl , Holger Boche , Vahid Jamali

Deterministic identification (DI) for the discrete-time Poisson channel, subject to an average and a peak power constraint, is considered. It is established that the code size scales as $2^{(n\log n)R}$, where $n$ and $R$ are the block…

Information Theory · Computer Science 2021-09-29 Mohammad J. Salariseddigh , Uzi Pereg , Holger Boche , Christian Deppe , Robert Schober

Directed information (DI) is a fundamental measure for the study and analysis of sequential stochastic models. In particular, when optimized over input distributions it characterizes the capacity of general communication channels. However,…

Information Theory · Computer Science 2023-01-03 Dor Tsur , Ziv Aharoni , Ziv Goldfeld , Haim Permuter

We establish lower and upper bounds for the identification capacity of discrete-time Gaussian channels subject to inter-symbol interference (ISI), a canonical model in wireless communication. Our analysis accounts for deterministic encoders…

Information Theory · Computer Science 2026-05-04 Mohammad Javad Salariseddigh , Christian Deppe

Diffusive molecular communications (DiMC) have recently gained attention as a candidate for nano- to micro- and macro-scale communications due to its simplicity and energy efficiency. As signal propagation is solely enabled by Brownian…

Information Theory · Computer Science 2021-01-11 Mustafa Can Gursoy , Masoumeh Nasiri-Kenari , Urbashi Mitra

The identification capacity is developed without randomization at neither the encoder nor the decoder. In particular, full characterization is established for the deterministic identification (DI) capacity for the Gaussian channel and for…

Information Theory · Computer Science 2021-10-11 Mohammad J. Salariseddigh , Uzi Pereg , Holger Boche , Christian Deppe

Molecular communication is a new field of communication where molecules are used to transfer information. Among the proposed methods, molecular communication via diffusion (MCvD) is particularly effective. One of the main challenges in MCvD…

Emerging Technologies · Computer Science 2014-10-31 Burcu Tepekule , Ali E. Pusane , H. Birkan Yilmaz , Chan-Byoung Chae , Tuna Tugcu

Directed information (DI) is an information measure that attempts to capture directionality in the flow of information from one random process to another. It is closely related to other causal influence measures, such as transfer entropy,…

Information Theory · Computer Science 2026-02-11 Dor Tsur , Oron Sabag , Navin Kashyap , Haim Permuter , Gerhard Kramer

Deterministic identification (DI) is addressed for Gaussian channels with fast and slow fading, where channel side information is available at the decoder. In particular, it is established that the number of messages scales as…

Information Theory · Computer Science 2021-10-12 Mohammad J. Salariseddigh , Uzi Pereg , Holger Boche , Christian Deppe

Deterministic identification (DI) has emerged as a promising paradigm for large-scale and goal-oriented communication systems. Despite significant progress, a fundamental open problem has remained unresolved: a persistent gap between the…

Information Theory · Computer Science 2026-04-14 Pau Colomer , Christian Deppe , Holger Boche , Andreas Winter

A diffusion molecular channel is a channel with memory, as molecules released into the medium hit the receptors after a random delay. Coding over the diffusion channel is performed by choosing the type, intensity, or the released time of…

In this paper, the capacity of a diffusion based molecular communication network under the model of a Linear Time Invarient-Poisson (LTI-Poisson) channel is studied. Introduced in the context of molecular communication, the LTI-Poisson…

Information Theory · Computer Science 2014-10-17 Hamidreza Arjmandi , Gholamali Aminian , Amin Gohari , Masoumeh Nasiri Kenari , Urbashi Mitra

In diffusion based molecular communication, the intersymbol interference (ISI) is an important reason for system performance degradation, which is caused by the random movement, out-of-order arrival and indistinguishability of the…

Information Theory · Computer Science 2019-01-01 Hui Li , Qingchao Li

The capacity of the semideterministic discrete memoryless broadcast channel (SD-BC) with partial message side-information (P-MSI) at the receivers is established. In the setting without a common message, it is shown that P-MSI to the…

Information Theory · Computer Science 2017-05-30 Annina Bracher , Michèle Wigger
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