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Expectation Propagation Aided Model Driven Learning for OTFS Signal Detection
IEEE Transactions on Vehicular Technology, 2023Orthogonal time frequency space (OTFS) modulation, which modulates constellation symbols in the delay-Doppler (DD) domain, is capable of outperforming conventional multi-carrier schemes in the context of high mobility communication scenarios.
S. Li +5 more
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An Efficient Massive MIMO Detector Based on Approximate Expectation Propagation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023Among expectation propagation (EP)-based massive multiple-input–multiple-output (MIMO) detection algorithms, EP with weighted Neumann-series approximation (EPA-wNSA) has the lowest computational complexity while requiring many iterations to guarantee the
Yangyang Chen +3 more
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The Difficult Road of Expectation Propagation Towards Phase Noise Detection
ICC 2023 - IEEE International Conference on Communications, 2023Expectation Propagation (EP) is a promising framework in message-passing algorithms based on factor-graphs. The inherent ability to combine prior (partial) knowledge of system variables with channel observations suggests that an effective estimation of ...
G. Colavolpe +3 more
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Practical Frequency-Domain Decision Feedback Equalization Based on Expectation Propagation
IEEE Communications Letters, 2023This work tackles the problem of implementing frequency-domain (FD) Decision Feedback Equalization (DFE) algorithms derived from the Expectation Propagation (EP) framework under strict computational complexity and latency constraints.
A. Cipriano, S. Şahin, Charly Poulliat
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Orthogonal Time Frequency Space Detection via Low-Complexity Expectation Propagation
IEEE Transactions on Wireless Communications, 2022Orthogonal time frequency space (OTFS) can provide better error performance than orthogonal frequency division modulation in the high-speed scenario.
Yaru Shan, Fanggang Wang, Yaxing Hao
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Decentralized Groupwise Expectation Propagation Detector for Uplink Massive MU-MIMO Systems
IEEE Internet of Things Journal, 2023With the proliferation of emerging Internet of Things (IoT) applications, massive multiuser multiple-input–multiple-output (MU-MIMO) is a promising technology to support the massive connectivity requirement with limited spectral resources.
Hua Li +4 more
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Low Complexity Block Equalizer for OTFS Based on Expectation Propagation
IEEE Wireless Communications Letters, 2022Orthogonal time-frequency space signaling (OTFS) is a novel delay-Doppler (DD) domain modulation scheme that has the potential to exploit two-dimensional time-frequency (TF) diversity. To realize such diversity while retaining low complexity, this letter
Fei Long, K. Niu, Jiaru Lin
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Asynchronous Multi-User Detection for Code-Domain NOMA: Expectation Propagation Over 3D Factor-Graph
IEEE Transactions on Vehicular Technology, 2022Code-domain non-orthogonal multiple access (NOMA) is a promising technology to achieve ubiquitous massive connections for 5G and beyond. In application scenarios with high channel dynamics or simplified scheduling procedures, multi-user signals face the ...
Peisen Wang +4 more
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Approximate Expectation Propagation Massive MIMO Detector With Weighted Neumann-Series
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021Expectation propagation (EP) achieves near-optimal performance for massive multiple-input multiple-output (MIMO) detection, however, at the cost of multiple expensive matrix inversions.
X. Tan +6 more
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An Improved Expectation Propagation Based Detection Scheme for MIMO Systems
IEEE Transactions on Communications, 2021Multiple-input Multiple-output (MIMO) technologies play an important role in modern and future wireless communication systems as they can improve the capacity without increasing the bandwidth. MIMO detection is one of the key technologies for MIMO system
Guoqiang Yao, Hang Chen, Jianhao Hu
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