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A Simple Efficient Lightweight CNN Method for LOS/NLOS Identification in Wireless Communication Systems

https://doi.org/10.1109/lcomm.2023.3265272
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-981-15-3715-8_33openalex-snapshot
Research on LOS/NLOS Identification Technology Based on WIFI Signal Space-Frequency Domain Information
inferredcites →https://doi.org/10.1109/apusncursinrsm.2019.8888567openalex-snapshot
Research on Kernel Functions of SVM for Line-of-sight Identification in Vehicle-to-Vehicle MIMO System
inferredcites →https://doi.org/10.1109/glocom.2017.8254052openalex-snapshot
Machine Learning-Based Channel Classification and Its Application to IEEE 802.11ad Communications
inferredcites →https://doi.org/10.1109/icc.2017.7997068openalex-snapshot
AmpN: Real-time LOS/NLOS identification with WiFi
inferredcites →https://doi.org/10.1109/icl-gnss49876.2020.9115498openalex-snapshot
NLOS Detection using UWB Channel Impulse Responses and Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/infocom.2014.6848217openalex-snapshot
LiFi: Line-Of-Sight identification with WiFi
inferredcites →https://doi.org/10.1109/infocom.2015.7218588openalex-snapshot
PhaseU: Real-time LOS identification with WiFi
inferredcites →https://doi.org/10.1109/jsen.2018.2816586openalex-snapshot
Awareness of Line-of-Sight Propagation for Indoor Localization Using Hopkins Statistic
inferredcites →https://doi.org/10.1109/lawp.2018.2869548openalex-snapshot
Classification of Indoor Environments for IoT Applications: A Machine Learning Approach
inferredcites →https://doi.org/10.1109/lcomm.2018.2872522openalex-snapshot
CNN-Based LOS/NLOS Identification in 3-D Massive MIMO Systems
inferredcites →https://doi.org/10.1109/lcomm.2020.2999904openalex-snapshot
UWB NLOS/LOS Classification Using Deep Learning Method
inferredcites →https://doi.org/10.1109/lcomm.2020.3003688openalex-snapshot
Non-Line-of-Sight Identification for UWB Positioning Using Capsule Networks
inferredcites →https://doi.org/10.1109/lcomm.2020.3039251openalex-snapshot
LOS/NLOS Identification for Indoor UWB Positioning Based on Morlet Wavelet Transform and Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/lwc.2020.2994945openalex-snapshot
Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/msp.2015.2504328openalex-snapshot
High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend
inferredcites →https://doi.org/10.1109/tap.2022.3149665openalex-snapshot
Artificial Intelligence Enabled Radio Propagation for Communications—Part II: Scenario Identification and Channel Modeling
inferredcites →https://doi.org/10.1109/tim.2022.3191705openalex-snapshot
Efficient Joint DOA and TOA Estimation for Indoor Positioning With 5G Picocell Base Stations
inferredcites →https://doi.org/10.1109/tvt.2017.2780121openalex-snapshot
Deep Learning Based NLOS Identification With Commodity WLAN Devices
inferredcites →https://doi.org/10.1109/tvt.2022.3172863openalex-snapshot
Multi-Classification of UWB Signal Propagation Channels Based on One-Dimensional Wavelet Packet Analysis and CNN
inferredcites →https://doi.org/10.1109/twc.2015.2448540openalex-snapshot
WiFi-Based Indoor Line-of-Sight Identification
inferredcites →https://doi.org/10.1109/twc.2020.2967726openalex-snapshot
Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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5GDC-estimating drone count using 5G CSI measurements and multi-channel CNN
inferred← citeshttps://doi.org/10.1007/s40747-026-02335-yopenalex-snapshot
NLOS identification and error mitigation algorithms for indoor positioning: a review
inferred← citeshttps://doi.org/10.1016/j.dsp.2023.104372openalex-snapshot
Multipath-assisted positioning enhancement via DC-SLAM with MAP-PF: An in-depth analysis and performance evaluation
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.122924openalex-snapshot
Robust TDOA localization in mixed LOS and NLOS environments via two-stage residual matrix analysis
inferred← citeshttps://doi.org/10.1088/1361-6501/ae7c20openalex-snapshot
Probabilistic calibration and dynamic uncertainty evaluation for UWB ranging in NLOS environments
inferred← citeshttps://doi.org/10.1088/1361-6501/ae8bc2openalex-snapshot
Closed-loop collaborative adaptive architecture for robust UWB positioning in complex indoor environments
inferred← citeshttps://doi.org/10.1109/comst.2025.3648577openalex-snapshot
AI-Driven Wireless Positioning: Fundamentals, Standards, State-of-the-Art, and Challenges
inferred← citeshttps://doi.org/10.1109/ecie65947.2025.11087079openalex-snapshot
Map-Assisted LOS/NLOS Identification for 5G MIMO Systems
inferred← citeshttps://doi.org/10.1109/eiect68017.2025.11331602openalex-snapshot
CNN Credibility-Driven 5G-IMU Fusion Localization Optimization for Indoor Environments with High-Dynamic Pedestrian Scenarios
inferred← citeshttps://doi.org/10.1109/i2mtc66907.2026.11694961openalex-snapshot
Anomaly Detection Approach for LOS/NLOS Identification in 5G Systems
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889778openalex-snapshot
Codar: Complex-valued Neural Network for Crossing-Floor Intrusion Detection via WiFi
inferred← citeshttps://doi.org/10.1109/iccsc71566.2026.11650345openalex-snapshot
Impact of Dynamic Obstacles on Physical Layer Security in Vehicular Communications
inferred← citeshttps://doi.org/10.1109/iccworkshops59551.2024.10615543openalex-snapshot
6G-Oriented CSI-Based Multi-Modal Pre-Training and Downstream Task Adaptation Paradigm
inferred← citeshttps://doi.org/10.1109/iceece71300.2026.11709906openalex-snapshot
A Review on Data-Driven LoS/NLoS Classification Techniques for 5G Wireless Systems
inferred← citeshttps://doi.org/10.1109/jiot.2024.3523438openalex-snapshot
Robust Indoor RF Signal LOS Classification: An Exploit of Modulation and Beamforming
inferred← citeshttps://doi.org/10.1109/jsen.2024.3404047openalex-snapshot
Robust GNSS Spoofing Detection Against UE Maneuver in a GNSS-5G mmWave Hybrid Positioning System
inferred← citeshttps://doi.org/10.1109/jsen.2025.3568923openalex-snapshot
The Trilateral Iterative Method Integrating LOS/NLOS Environment Recognition and Classification Ranging Error Suppression
inferred← citeshttps://doi.org/10.1109/lcomm.2025.3644181openalex-snapshot
Sample-Efficient LOS/NLOS Identification in Wi-Fi 6 With COTS Devices
inferred← citeshttps://doi.org/10.1109/lcomm.2026.3687873openalex-snapshot
Neural Network-Assisted NLoS Channel Identification in Near-Field Environments: A Linear Fractionalization Approach
inferred← citeshttps://doi.org/10.1109/lwc.2024.3366916openalex-snapshot
CR2Net: A Neural Network-Based Classifier for Rician and Rayleigh Channels via Hankelization
inferred← citeshttps://doi.org/10.1109/tvt.2025.3584827openalex-snapshot
Field-Trained Neural Network-Based Angle-of-Arrival Estimation for Air-to-Ground Channel Measurements
inferred← citeshttps://doi.org/10.1109/tvt.2025.3614094openalex-snapshot
Lightweight and High-Performance Vehicular Channel Estimation With Liquid Neural Networks
inferred← citeshttps://doi.org/10.1109/tvt.2025.3631274openalex-snapshot
Bayesian Cooperative LOS/NLOS Classification With Domain Insights and Model Refinement for UAV Communication
inferred← citeshttps://doi.org/10.1109/tvt.2026.3684556openalex-snapshot
Risk-Averse Robustness-Based Intelligent Environment-Adaptive GNSS/INS Tightly-Coupled Positioning Method
inferred← citeshttps://doi.org/10.1109/twc.2025.3560231openalex-snapshot
Addressing the Curse of Scenario and Task Generalization in AI-6G: A Multi-Modal Paradigm
inferred← citeshttps://doi.org/10.1109/vtc2025-fall65116.2025.11310525openalex-snapshot
MTCA: Multi-Task Channel Analysis for Wireless Communication
inferred← citeshttps://doi.org/10.1109/wcsp62071.2024.10827767openalex-snapshot
Channel Scenario Identification Under Varying SNR Conditions Using Transfer Learning
inferred← citeshttps://doi.org/10.1155/int/8860822openalex-snapshot
An ECA–ResNet‐Based Intelligent Communication Scenario Identification Algorithm for 6G Wireless Communications
inferred← citeshttps://doi.org/10.1186/s43020-025-00165-wopenalex-snapshot
An improved NLOS error mitigation algorithm for 5G positioning in complex urban environments
inferred← citeshttps://doi.org/10.2139/ssrn.6496445openalex-snapshot
Line of Sight Classification on Automated Guided Vehicles
inferred← citeshttps://doi.org/10.3390/app13137458openalex-snapshot
PEiD: Precise and Real-Time LOS/NLOS Path Identification Based on Peak Energy Index Distribution
inferred← citeshttps://doi.org/10.3390/electronics14193764openalex-snapshot
An Exhaustive Method of TOA-Based Positioning in Mixed LOS/NLOS Environments
inferred← citeshttps://doi.org/10.3390/s24196494openalex-snapshot
Improving Non-Line-of-Sight Identification in Cellular Positioning Systems Using a Deep Autoencoding and Generative Adversarial Network Model
inferred← citeshttps://doi.org/10.3390/s26092824openalex-snapshot
Domain-Adversarial Neural Network for UWB NLOS Identification in Multiple Environments
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