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Channel Estimation Performance Analysis of FBMC/OQAM Systems with Bayesian Approach for 5G-Enabled IoT Applications

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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/s00521-019-04604-zopenalex-snapshot
BP neural network-based ABEP performance prediction for mobile Internet of Things communication systems
inferredcites →https://doi.org/10.1007/s11036-017-0982-yopenalex-snapshot
Outage Performance for IDF Relaying Mobile Cooperative Networks
inferredcites →https://doi.org/10.1007/s11277-017-4072-zopenalex-snapshot
A Compressive Sensing Channel Estimation for MIMO FBMC/OQAM System
inferredcites →https://doi.org/10.1016/j.dsp.2016.09.008openalex-snapshot
Generalized beta Bayesian compressive sensing model for signal reconstruction
inferredcites →https://doi.org/10.1049/el.2014.2769openalex-snapshot
Uplink channel estimation for massive MIMO systems exploring joint channel sparsity
inferredcites →https://doi.org/10.1109/access.2018.2864221openalex-snapshot
Preamble Design With Interference Cancellation for Channel Estimation in MIMO-FBMC/OQAM Systems
inferredcites →https://doi.org/10.1109/access.2018.2875245openalex-snapshot
Sparse Channel Estimation for MIMO-FBMC/OQAM Wireless Communications in Smart City Applications
inferredcites →https://doi.org/10.1109/access.2019.2898896openalex-snapshot
Compressive Sensing-Based Channel Estimation for FBMC-OQAM System Under Doubly Selective Channels
inferredcites →https://doi.org/10.1109/access.2019.2919118openalex-snapshot
Real-Valued Orthogonal Sequences for Iterative Channel Estimation in MIMO-FBMC Systems
inferredcites →https://doi.org/10.1109/cc.2017.7942192openalex-snapshot
Application of Bayesian compressive sensing in IRUWB channel estimation
inferredcites →https://doi.org/10.1109/jiot.2018.2869677openalex-snapshot
OQAM-OFDM for Wireless Communications in Future Internet of Things: A Survey on Key Technologies and Challenges
inferredcites →https://doi.org/10.1109/jiot.2019.2905788openalex-snapshot
Assistant Vehicle Localization Based on Three Collaborative Base Stations via SBL-Based Robust DOA Estimation
inferredcites →https://doi.org/10.1109/jiot.2019.2948888openalex-snapshot
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems
inferredcites →https://doi.org/10.1109/jiot.2020.2979771openalex-snapshot
Auxiliary Vehicle Positioning Based on Robust DOA Estimation With Unknown Mutual Coupling
inferredcites →https://doi.org/10.1109/jsac.2017.2710022openalex-snapshot
Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications
inferredcites →https://doi.org/10.1109/jsac.2019.2927088openalex-snapshot
Information-Centric Virtualization for Software-Defined Statistical QoS Provisioning Over 5G Multimedia Big Data Wireless Networks
inferredcites →https://doi.org/10.1109/jstsp.2011.2169649openalex-snapshot
Compressive Sensing Based High-Resolution Channel Estimation for OFDM System
inferredcites →https://doi.org/10.1109/jstsp.2019.2925786openalex-snapshot
Polarization Channel Estimation for Circular and Non-Circular Signals in Massive MIMO Systems
inferredcites →https://doi.org/10.1109/jsyst.2019.2919654openalex-snapshot
Performance Analysis of Impaired SWIPT NOMA Relaying Networks Over Imperfect Weibull Channels
inferredcites →https://doi.org/10.1109/lcomm.2016.2613086openalex-snapshot
Compressive Sensing-Based Pilot Design for Sparse Channel Estimation in OFDM Systems
inferredcites →https://doi.org/10.1109/lcomm.2017.2677941openalex-snapshot
OFDM and FBMC-OQAM in Doubly-Selective Channels: Calculating the Bit Error Probability
inferredcites →https://doi.org/10.1109/lwc.2019.2939309openalex-snapshot
Full-Duplex Cooperative NOMA Relaying Systems With I/Q Imbalance and Imperfect SIC
inferredcites →https://doi.org/10.1109/mnet.2016.7389830openalex-snapshot
Big data-driven optimization for mobile networks toward 5G
inferredcites →https://doi.org/10.1109/tii.2018.2799685openalex-snapshot
5G Enabled Codesign of Energy-Efficient Transmission and Estimation for Industrial IoT Systems
inferredcites →https://doi.org/10.1109/tsp.2016.2566601openalex-snapshot
Uplink FBMC/OQAM-Based Multiple Access Channel: Distortion Analysis Under Strong Frequency Selectivity
inferredcites →https://doi.org/10.1109/tsp.2016.2639465openalex-snapshot
Preamble-Based Estimation of Highly Frequency Selective Channels in FBMC/OQAM Systems
inferredcites →https://doi.org/10.1109/tvt.2016.2602096openalex-snapshot
FBMC System: An Insight into Doubly Dispersive Channel Impact
inferredcites →https://doi.org/10.1109/tvt.2019.2926162openalex-snapshot
Low-PAPR Preamble Design for FBMC Systems
inferredcites →https://doi.org/10.1109/tvt.2019.2957511openalex-snapshot
Joint 2D-DOD, 2D-DOA, and Polarization Angles Estimation for Bistatic EMVS-MIMO Radar via PARAFAC Analysis
inferredcites →https://doi.org/10.1109/tvt.2020.2970967openalex-snapshot
Low-Complexity Channel Estimation for Circular and Noncircular Signals in Virtual MIMO Vehicle Communication Systems
inferredcites →https://doi.org/10.1109/twc.2018.2877600openalex-snapshot
FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems
inferredcites →https://doi.org/10.1109/twc.2019.2947670openalex-snapshot
Residual Transceiver Hardware Impairments on Cooperative NOMA Networks
inferredcites →https://doi.org/10.3390/info9030058openalex-snapshot
Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
inferredcites →https://doi.org/10.3390/s16070966openalex-snapshot
A New Sparse Adaptive Channel Estimation Method Based on Compressive Sensing for FBMC/OQAM Transmission Network
inferredcites →https://doi.org/10.3837/tiis.2016.08.014openalex-snapshot
Novel Preamble Design for Channel Estimation in FBMC/OQAM Systems

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4664206openalex-extracted
Performance Analysis of Various Modulation Schemes for 5g Technology
inferred← citeshttps://doi.org/10.1007/978-981-16-7088-6_58openalex-snapshot
Performance Analysis of PAPR and BER in FBMC-OQAM with Low-complexity Using Modified Fast Convolution
inferred← citeshttps://doi.org/10.1007/s11277-020-07863-5openalex-snapshot
Implementation of Downlink Physical Channel Processing Architecture for NB-IoT Using LTE/5G Networks
inferred← citeshttps://doi.org/10.1007/s11277-026-12041-0openalex-snapshot
Enhanced Channel Estimation for FBMC/OQAM Using M-IAM-LS-DNN Towards 6G
inferred← citeshttps://doi.org/10.1016/j.aej.2023.12.026openalex-snapshot
Adaptive refined random orthogonal matching pursuit algorithm for FBMC/OQAM MIMO framework
inferred← citeshttps://doi.org/10.1063/5.0274113openalex-snapshot
A new method for mitigating phase noise in FBMC-OQAM optical communication systems
inferred← citeshttps://doi.org/10.1088/2631-8695/ae3520openalex-snapshot
FBMC-OQAM for 6G-narrow band communications: advanced receivers with short prototype filter
inferred← citeshttps://doi.org/10.1109/access.2023.3345453openalex-snapshot
Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review
inferred← citeshttps://doi.org/10.1155/2022/4038830openalex-snapshot
Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN
inferred← citeshttps://doi.org/10.1360/ssi-2025-0237openalex-snapshot
Machine-learning-based modulation waveform analysis and optimal design for OQAM-FBMC
inferred← citeshttps://doi.org/10.22266/ijies2023.0831.51openalex-snapshot
Repeated Clipping Filtering with Nonlinear Companding for PAPR Reduction in MIMO FBMC/OQAM System
inferred← citeshttps://doi.org/10.32985/ijeces.14.8.4openalex-snapshot
Compensating Chromatic Dispersion and Phase Noise using Parallel AFB-MBPS For FBMC-OQAM Optical Communication System
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