Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning
Author:
Affiliation:
1. Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China
2. Southeast University, Nanjing, LEADS, China
Funder
NSFC
China Postdoctoral Science Foundation
Research Project of NUDT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9854924/09791334.pdf?arnumber=9791334
Reference31 articles.
1. Analyzing and improving representations with the soft nearest neighbor loss;frosst;Proc 36th Int Conf Mach Learn,2019
2. Indoor Localization Based on CSI Fingerprint by Siamese Convolution Neural Network
3. CSI-Based Multi-Antenna and Multi-Point Indoor Positioning Using Probability Fusion
4. Channel Charting: Locating Users Within the Radio Environment Using Channel State Information
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1. Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets;IEEE Transactions on Wireless Communications;2024-09
2. CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection Using Wi-Fi CSI;IEEE Internet of Things Journal;2024-02-01
3. CSI-Based MIMO Indoor Positioning Using Attention-Aided Deep Learning;IEEE Communications Letters;2024-01
4. Channel Estimation Based on Contrastive Feature Learning with Few Labeled Samples;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25
5. A Hybrid Millimeter-Wave Channel Simulator for Joint Communication and Localization;2022 IEEE 8th International Conference on Computer and Communications (ICCC);2022-12-09
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