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Throughput Characterization and Beamwidth Selection for Positioning-Assisted mmWave Service

R. Koirala 1, 2, 3 G. Ghatak 4 B. Denis 1 B. Uguen 2 D. Dardari 3 A.D. Domenico 1
1 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
2 LTCI - Laboratoire Traitement et Communication de l'Information
3 DEI - Department of electrical, electronic and information engineering "GUGLIELMO MARCONI" [Bologna]
4 IETR - Institut d'Électronique et des Technologies du numéRique
Abstract : We propose an optimal beamwidth selection strategy based on the trade-off between localization and communication performance in millimeter wave networks. With larger resources devoted to localization, we achieve a lower beam-selection error due to accurate position information, although the resulting limitation in communication resources reduces the user data rate. Conversely, to obtain a better rate performance the system needs to increase the allocation for communication, consequently increasing the probability of beam selection error. We characterize localization performance bounds and downlink average rate performance of a mmWave network and accordingly introduce a possible multi-service optimization policy. © 2018 IEEE.
Keywords : Economic and social effects Average rate Beam selection Communication performance Communication resources Localization performance Multi-services Position information Rate performance Millimeter waves
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Conference papers
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-02089120
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, April 3, 2019 - 2:42:20 PM
Last modification on : Friday, October 30, 2020 - 12:04:04 PM

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UNIV-RENNES1 | IETR | CNRS | CEA | UR1-UFR-ISTIC | DRT | UNIV-NANTES | UNIV-RENNES | LETI | INSA-GROUPE | CEA-GRE | PARISTECH | INSTITUT-TELECOM | CENTRALESUPELEC | IETR_PL | INSA-RENNES

Citation

R. Koirala, G. Ghatak, B. Denis, B. Uguen, D. Dardari, et al.. Throughput Characterization and Beamwidth Selection for Positioning-Assisted mmWave Service. 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, Oct 2018, Pacific Grove, United States. pp.438-443, ⟨10.1109/ACSSC.2018.8645365⟩. ⟨hal-02089120⟩

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