activity
20142019
most citedCommunication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments

13 citations · 26 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.MN201913 cited

Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments

Hamdan Awan, Kareem Zeid, Raviraj S. Adve +3

Both action potentials and mechanosensitive signalling are an important communication mechanisms in plants. Considering an information theoretic framework, this paper explores the…

cs.NI2019

Scheduling for VoLTE: Resource Allocation Optimization and Low-Complexity Algorithms

Maryam Mohseni, S. Alireza Banani, Andrew W. Eckford +1

We consider scheduling and resource allocation in long-term evolution (LTE) networks across voice over LTE (VoLTE) and best-effort data users. The difference between these two is t…

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.ET20162 cited

RNA as a Nanoscale Data Transmission Medium: Error Analysis

Andrew W. Eckford, Taro Furbayashi, Tadashi Nakano

RNA can be used as a high-density medium for data storage and transmission; however, an important RNA process -- replication -- is noisy. This paper presents an error analysis for…

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…

q-bio.QM20166 cited

Finite-State Channel Models for Signal Transduction in Neural Systems

Andrew W. Eckford, Kenneth A. Loparo, Peter J. Thomas

Information theory provides powerful tools for understanding communication systems. This analysis can be applied to intercellular signal transduction, which is a means of chemical…