Towards location-awareness in next generation wireless networks : a new approach based on channel state information

Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020

Bibliographic Details
Main Author: Yu, Zehao.
Other Authors: Moe Z. Win.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2020
Subjects:
Online Access:https://hdl.handle.net/1721.1/127117
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author Yu, Zehao.
author2 Moe Z. Win.
author_facet Moe Z. Win.
Yu, Zehao.
author_sort Yu, Zehao.
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/1271172020-09-04T03:34:26Z Towards location-awareness in next generation wireless networks : a new approach based on channel state information Yu, Zehao. Moe Z. Win. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Aeronautics and Astronautics. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 69-78). Location-awareness in next generation wireless networks will be a key enabler for numerous emerging applications. Recently, a novel approach to localization based on soft information (SI), exploiting all positional information inherent in measurement and contextual data, has been proposed. This thesis further develops SI-based localization by establishing a new approach relying on channel state information (CSI) measurements. In particular, we design an efficient joint message-passing (MP) localization algorithm, which consists of two layers: the transformation layer and the estimation layer. The transformation layer extracts SI of the channel impulse response (CIR) from CSI measurements using a sparsity promoting prior model, which addresses the difficulty of unknown number of multipath in estimating the CIR. The estimation layer infers node positions based on the SI of the CIR using a delay-origin uncertainty model, which describes the conditional distribution of the delays in the CIR given node positions. Simulation results using QuaDriGa channel simulator show that our localization algorithm achieves decimeter-level localization accuracy for both Wi-Fi and mmWave signals, which outperforms conventional algorithms. by Zehao Yu. S.M. S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics 2020-09-03T17:47:43Z 2020-09-03T17:47:43Z 2020 2020 Thesis https://hdl.handle.net/1721.1/127117 1191836271 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 78 pages application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Yu, Zehao.
Towards location-awareness in next generation wireless networks : a new approach based on channel state information
title Towards location-awareness in next generation wireless networks : a new approach based on channel state information
title_full Towards location-awareness in next generation wireless networks : a new approach based on channel state information
title_fullStr Towards location-awareness in next generation wireless networks : a new approach based on channel state information
title_full_unstemmed Towards location-awareness in next generation wireless networks : a new approach based on channel state information
title_short Towards location-awareness in next generation wireless networks : a new approach based on channel state information
title_sort towards location awareness in next generation wireless networks a new approach based on channel state information
topic Aeronautics and Astronautics.
url https://hdl.handle.net/1721.1/127117
work_keys_str_mv AT yuzehao towardslocationawarenessinnextgenerationwirelessnetworksanewapproachbasedonchannelstateinformation