Licea, DB, McLernon, D orcid.org/0000-0002-5163-1975, Ghogho, M et al. (2 more authors) (2018) Robotic Mobility Diversity Algorithm with Continuous Search Space. In: Proceedings of the 25th European Signal Processing Conference (EUSIPCO). 26th European Signal Processing Conference (EUSIPCO 2018), 03-07 Sep 2018, Rome, Italy. IEEE , pp. 702-706. ISBN 978-9-0827-9701-5
Abstract
Small scale fading makes the wireless channel gain vary significantly over small distances and in the context of classical communication systems it can be detrimental to performance. But in the context of mobile robot (MR) wireless communications, we can take advantage of the fading using a mobility diversity algorithm (MDA) to deliberately locate the MR at a point where the channel gain is high. There are two classes of MDAs. In the first class, the MR explores various points, stops at each one to collect channel measurements and then locates the best position to establish communications. In the second class the MR moves, without stopping, along a continuous path while collecting channel measurements and then stops at the end of the path. It determines the best point to establish communications. Until now, the shape of the continuous path for such MDAs has been arbitrarily selected and currently there is no method to optimize it. In this paper, we propose a method to optimize such a path. Simulation results show that such optimized paths provide the MDAs with an increased performance, enabling them to experience higher channel gains while using less mechanical energy for the MR motion.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © EURASIP 2018. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Rayleigh fading; correlated channels; spatial statistics; diversity; robotics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Jun 2018 13:38 |
Last Modified: | 29 Jan 2019 10:05 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.23919/EUSIPCO.2018.8553208 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131810 |