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20142023
most citedFinite-State Channel Models for Signal Transduction in Neural Systems

6 citations · 22 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.IT2016

Asynchronous Peak Detection for Demodulation in Molecular Communication

Adam Noel, Andrew W. Eckford

Molecular communication requires low-complexity symbol detection algorithms to deal with the many sources of uncertainty that are inherent in these channels. This paper proposes tw…

cs.IT20163 cited

Analyzing Dependent Placements of Small Cells in a Two-Layer Heterogeneous Network with a Rate Coverage Constraint

S. Alireza Banani, Andrew W. Eckford, Raviraj S. Adve

We consider the downlink of a two-layer heterogeneous network, comprising macro cells (MCs) and small cells (SCs). The existing literature generally assumes independent placements…

cs.IT20162 cited

Entropy of the Sum of Two Independent, Non-Identically-Distributed Exponential Random Variables

Andrew W. Eckford, Peter J. Thomas

In this letter, we give a concise, closed-form expression for the differential entropy of the sum of two independent, non-identically-distributed exponential random variables. The…

cs.IT2014

Symbol interval optimization for molecular communication with drift

Na-Rae Kim, Andrew W. Eckford, Chan-Byoung Chae

In this paper, we propose a symbol interval optimization algorithm in molecular communication with drift. Proper symbol intervals are important in practical communication systems s…

cs.IT2014

Scaling laws for molecular communication

Andrew W. Eckford, Chan-Byoung Chae

In this paper, we investigate information-theoretic scaling laws, independent from communication strategies, for point-to-point molecular communication, where it sends/receives inf…