Distributed Reconfigurable Intelligent Surfaces Assisted Indoor Positioning

Author:

Ma Teng1ORCID,Xiao Yue1ORCID,Lei Xia1ORCID,Xiong Wenhui1ORCID,Xiao Ming2ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

Funder

National Key Research and Development Program of China

FORMAS Project titled “Intelligent Energy Management in Smart Community with Distributed Machine Learning”

Swedish Research Council Project titled “Coding for Large-Scale Distributed Machine Learning”

STINT Project “Efficient and Secure Distributed Machine Learning with Gradient Descend”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Reference71 articles.

1. WiFi-based indoor positioning

2. Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface

3. Robust Indoor Positioning Provided by Real-Time RSSI Values in Unmodified WLAN Networks

4. Cramér–Rao lower bounds for positioning with large intelligent surfaces using quantized amplitude and phase;alegria;Proc 53rd Asilomar Conf Signals Syst Comput,2019

5. Locating the nodes: cooperative localization in wireless sensor networks

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance Analysis of Multi-Relay Assisted IoT Networks in Mixed Fading Environments;ICST Transactions on Scalable Information Systems;2023-11-22

2. RIS Optimal Element Selection for Enhanced Indoor Positioning Systems;2023 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv);2023-05-29

3. Reconfigurable Intelligent Surface-Assisted Localization: Technologies, Challenges, and the Road Ahead;IEEE Open Journal of the Communications Society;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3