Works matching IS 17518628 AND DT 2023 AND VI 17 AND IP 2
Results: 10
Rate‐compatible spatially coupled LDPC code ensembles by partial repetition extension.
- Published in:
- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 246, doi. 10.1049/cmu2.12532
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- Article
Performance evaluation of cognitive relay networks for end user mobile over mixed realistic channels.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 228, doi. 10.1049/cmu2.12528
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- Article
Graph convolutional reinforcement learning for resource allocation in hybrid overlay–underlay cognitive radio network with network slicing.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 215, doi. 10.1049/cmu2.12527
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- Article
Asynchronous cooperative spectrum sensing via sequential detection in fuzzy hypothesis testing under noise uncertainty in cognitive radio networks.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 207, doi. 10.1049/cmu2.12526
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- Article
Distributed massive UAV jamming optimization algorithm with artificial bee colony.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 197, doi. 10.1049/cmu2.12525
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- Article
Symbol detection using extreme learning machine network for MU‐SIMO systems.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 183, doi. 10.1049/cmu2.12522
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- Article
Robust transmission design for artificial noise aided multiuser broadcast system in inaccurate channel state information scenario with users of different importance.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 171, doi. 10.1049/cmu2.12521
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- Article
Autoencoder‐based deep learning for massive multiple‐input multiple‐output uplink under high‐power amplifier non‐linearities.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 162, doi. 10.1049/cmu2.12520
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- Article
MLfus: A real‐time forecasting architecture for low communication costs in electricity IoT based on ensemble learning.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 145, doi. 10.1049/cmu2.12519
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- Article
A novel noise reduction technique for underwater acoustic signals based on dual‐path recurrent neural network.
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- IET Communications (Wiley-Blackwell), 2023, v. 17, n. 2, p. 135, doi. 10.1049/cmu2.12518
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- Article