PU-DetNet: Deep Unfolding Aided Smart Sensing Framework for Cognitive Radio
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206814
Abstract: Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical-based and data-driven approaches. The former is sensitive to model inaccuracies in evolving network environment, while the latter (machine learning (ML)/deep learning (DL)… read more here.
Keywords: network; detnet; cognitive radio; deep unfolding ... See more keywords
Deep Unfolding Network for PAPR Reduction in Multicarrier OFDM Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3195042
Abstract: In this letter, we propose a Deep Unfolding Network called PR-DUN to reduce the peak-to-average power ratio (PAPR), which is a thorny problem in Orthogonal Frequency-Division Multiplexing (OFDM) systems. The proposed multi-layer model is constructed… read more here.
Keywords: ofdm systems; unfolding network; papr reduction; deep unfolding ... See more keywords
Deep Unfolding-Based Joint Beamforming and Detection Design for Ambient Backscatter Communications With IRS
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3243728
Abstract: In this letter, we investigate a novel ambient backscatter communication (AmBC) system in which an intelligent reflecting surface (IRS) acts as a passive transmitter to communicate with a reader. We are interested in the joint… read more here.
Keywords: design; detection; ambient backscatter; deep unfolding ... See more keywords
Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3263100
Abstract: Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance. Each stage in DUN corresponds… read more here.
Keywords: network; path controllable; dun; unfolding network ... See more keywords
DDPG-Driven Deep-Unfolding With Adaptive Depth for Channel Estimation With Sparse Bayesian Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3207269
Abstract: Deep-unfolding neural networks (NNs) have received great attention since they achieve satisfactory performance with relatively low complexity. Typically, these deep-unfolding NNs are restricted to a fixed-depth for all inputs. However, the optimal number of layers… read more here.
Keywords: adaptive depth; channel estimation; channel; deep unfolding ... See more keywords
Model-Driven Based Deep Unfolding Equalizer for Underwater Acoustic OFDM Communications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3230143
Abstract: It is challenging to design an equalizer for the complex time-frequency doubly-selective channel. In this paper, we employ the deep unfolding approach to establish an equalizer for the underwater acoustic (UWA) orthogonal frequency division multiplexing… read more here.
Keywords: equalizer; udnet; ofdm; underwater acoustic ... See more keywords
Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3133296
Abstract: In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the active beamforming matrices at the access point (AP) and uplink users, and the… read more here.
Keywords: reflecting surface; intelligent reflecting; deep unfolding; beamforming ... See more keywords
Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3164091
Abstract: For massive multiple-input multiple-output (MIMO) systems operating in frequency-division duplex mode, downlink channel state information (CSI) acquisition will incur large overhead. This overhead can be substantially reduced when compressive sensing techniques are employed to estimate… read more here.
Keywords: sparse channel; measurement matrices; driven measurement; data driven ... See more keywords