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Geoffrey G. Messier

Researcher at University of Calgary

Publications -  87
Citations -  1946

Geoffrey G. Messier is an academic researcher from University of Calgary. The author has contributed to research in topics: Communication channel & Fading. The author has an hindex of 17, co-authored 85 publications receiving 1538 citations.

Papers
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Journal ArticleDOI

Vehicle Routing Problems for Drone Delivery

TL;DR: In this paper, the authors propose two multi-trip vehicle routing problems (VRPs) specifically for drone delivery scenarios, one minimizes costs subject to a delivery time limit, while the other minimizes the overall delivery time subject to budget constraint.
Journal ArticleDOI

Optimum receiver for molecule shift keying modulation in diffusion-based molecular communication channels

TL;DR: This paper develops the first optimal receiver design for diffusion-based molecular communication scenarios with and without inter-symbol interference, based on a linear and time invariant signal propagation model and an additive noise model based on Brownian motion molecular statistics.
Journal ArticleDOI

Blind Synchronization in Diffusion-Based Molecular Communication Channels

TL;DR: This paper uses the non-decision directed maximum likelihood criterion for estimating the channel delay and derives the Cramer-Rao lower bound and evaluates the performance of the proposed synchronization algorithm by investigating its mean square error.
Patent

Cellular telephone location system

TL;DR: In this paper, a method of locating a mobile phone by communicating signal strength measurements of signals received by the mobile phone to a processing unit was proposed, in which the path loss exponent and the position of mobile phone are unknowns.
Proceedings ArticleDOI

Using WLAN Infrastructure for Angle-of-Arrival Indoor User Location

TL;DR: Investigation of the potential for future multiple antenna wireless local area network technologies such as 802.11n to perform indoor network-based positioning using angle of arrival (AOA) estimation shows that with the use of a specialized channel parameter estimation algorithm, quality AOA estimates for positioning might be achieved with low computational complexity.