Javier Perez-Ramirez
Intel
34 Papers
92 Citations
Javier Perez-Ramirez is an academic researcher from Intel. The author has contributed to research in topics: Computer science & Bit error rate. The author has an hindex of 7, co-authored 29 publications. Previous affiliations of Javier Perez-Ramirez include New Mexico State University.
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Papers
Extending Accurate Time Distribution and Timeliness Capabilities Over the Air to Enable Future Wireless Industrial Automation Systems
Dave Cavalcanti,Javier Perez-Ramirez,Mohammad Mamunur Rashid,Fang Juan,Galeev Mikhail T,Kevin Stanton +5 more
- 21 Mar 2019
TL;DR: An overview of the potential applications, requirements, and unique research challenges to extend time-synchronized networking capabilities over wireless and a classification of wireless applications and a reference architecture for enabling the integration of wired and wireless TSN capabilities in future industrial automation systems are provided.
141
Optimal 3-D Landmark Placement for Vehicle Localization Using Heterogeneous Sensors
TL;DR: Numerical results demonstrate that the proposed optimal landmark placement enables accurate AGV localization over significantly large volume or area of the search space compared with the case when landmarks are randomly placed.
57
Hybrid Optical/RF Channel Performance Analysis for Turbo Codes
TL;DR: A technique to jointly optimize puncturing and RF bit selection patterns for the hybrid channel demonstrates significant BER performance improvement obtained from the proposed joint optimization approach.
29
A Single-Input Multiple-Output Optical System for Mobile Communication: Modeling and Validation
TL;DR: A single-input multiple-output optical communication system based on an LED transmitter and a receiving pixel grid of a camera and the effects of random locations of the LED image on the pixel grid are considered.
22
Time-Critical IoT Applications Enabled by Wi-Fi 6 and Beyond
TL;DR: In this paper , the authors present next generation Wi-Fi technologies and describe how they can be leveraged to enable three time-critical Industry 4.0 use cases: wireless industrial automation control, remote rendering in extended reality applications and cooperative simultaneous localization and mapping using autonomous mobile robots in a factory plant.
9