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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.

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The Best Thresholds for Rapid Identification of Episodic and Chronic Homeless Shelter Use

TL;DR: In this article, the authors used the number of shelter stays and episodes of shelter use for a client within a specified time window to determine if that individual is a good candidate for housing support.
Proceedings ArticleDOI

Impact of Packet Routing Scheme on Post-Failure Industrial Wireless Sensor Networks

TL;DR: Simulation results show that the proposed extended frame-level optimized routing/ scheduling algorithm exerts a positive impact on network performance: highly-reliable, low-latency, energyefficient, and fitting with most industrial applications.
Proceedings ArticleDOI

On Combined Rate and Power Adaptation for Indoor Wireless Environments

TL;DR: Numerical results show that, for a JFTS channel, varying only the transmission rate achieves more improvement in spectral efficiency compared to varying transmit power only, and varying rate and/or power subject to instantaneous BER constraint offers better performance than when subject to average BER (A-BER) constraint.
Posted Content

Dense Urban Channel Measurements for Utility Pole Fixed Wireless Links

TL;DR: This radio channel measurement campaign characterizes the propagation conditions experienced in a dense urban environment over fixed backhaul links between wireless devices that are mounted on utility or traffic light poles through the 2.45 GHz band for both spatially separated omni antennas and cross-polarized directional antennas.
Posted Content

The Best Thresholds for Rapid Identification of Episodic and Chronic Homeless Shelter Use

TL;DR: In this paper, the authors focus on counting the number of shelter stays and episodes of shelter use for a client within a time window and apply thresholds to these values to determine if that individual is a good candidate for housing support.