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High-Resolution Radar Imaging in Low SNR Environments Based on Expectation Propagation
IEEE Transactions on Geoscience and Remote Sensing, 2021We address the problem of high-resolution radar imaging in low signal-to-noise ratio (SNR) environments in an approximate Bayesian inference framework. First, the probabilistic graphical model is constructed by imposing the sparsity-promoting spike-and ...
Xueru Bai, Ge Wang, Siqi Liu, Feng Zhou
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Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver
International Symposium on Wireless Communication Systems, 2022Deep neural networks (NNs) promise excellent performance and high efficiency in constructing multiple-input multiple-output (MIMO) receivers. Recently, graph NNs (GNNs) have been applied to enhance expectation propagation (EP) for MIMO detection and to ...
Xingyu Zhou +3 more
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Improving Approximate Expectation Propagation Massive MIMO Detector With Deep Learning
IEEE Wireless Communications Letters, 2021In this letter, an efficient model-driven deep learning (DL) based massive multiple-input multiple-output (MIMO) detector is proposed by improving the approximate expectation propagation (EPA) algorithm, named EPANet.
Yingmeng Ge +5 more
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Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach
IEEE Transactions on Mobile Computing, 2021Cell-free massive MIMO is one of the core technologies for next-generation wireless networks. It is expected to bring enormous benefits, including ultra-high reliability, data throughput, energy efficiency, and uniform coverage.
Hengtao He +5 more
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Annual Conference of the IEEE Industrial Electronics Society, 2021
Nowadays, there is considerable and growing interest in applying accurate analysis tools to obtain meaningful information and extract knowledge from a huge amount of data.
Narges Manouchehri, N. Bouguila
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Nowadays, there is considerable and growing interest in applying accurate analysis tools to obtain meaningful information and extract knowledge from a huge amount of data.
Narges Manouchehri, N. Bouguila
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Correlated Channel-Oriented Expectation Propagation-Based Detector for Massive MIMO Systems
IEEE Transactions on Circuits and Systems Part 1: Regular PapersThe expectation propagation (EP) algorithm is near-optimal in massive multiple-input multiple-output (MIMO) systems but suffers from high computation complexity.
Yangyang Chen +3 more
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IEEE Transactions on Vehicular Technology
In this paper, an efficient approximated expectation propagation assisted decentralized signal detection scheme is proposed for uplink multiple-input multiple-output–orthogonal time-frequency space (MIMO-OTFS) systems.
Shuo Li +4 more
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In this paper, an efficient approximated expectation propagation assisted decentralized signal detection scheme is proposed for uplink multiple-input multiple-output–orthogonal time-frequency space (MIMO-OTFS) systems.
Shuo Li +4 more
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An Improved Power Expectation Propagation Detector for Massive MIMO Systems
IEEE Transactions on Vehicular TechnologyExpectation propagation (EP) achieves promising performance under various antenna configurations and modulations in massive multiple-input multiple-output (MIMO) detection.
X. Tan +5 more
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A Low Complexity Expectation Propagation Detector for Extra-Large Scale Massive MIMO
2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021In this paper, we propose a low-complexity expectation propagation (EP) detector for extra-large scale massive multiple-input multiple-output (MIMO) systems.
Zhinan Sun +4 more
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Density Evolution for Expectation Propagation
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007Expectation propagation (EP) is a theoretical extension of the belief propagation family of message passing algorithms for statistical inference which allows for efficient handling of models with continuous random variables as well as second or higher order correlation via the use of standard exponential families of probability measures.
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