Beamspace channel estimation for wideband millimeter-wave MIMO: A model-driven unsupervised learning approach
Millimeter-wave (mmWave) communications have been one of the promising technologies
for future wireless networks that integrate a wide range of data-demanding applications. To …
for future wireless networks that integrate a wide range of data-demanding applications. To …
Adaptive MIMO detector based on hypernetwork: Design, simulation, and experimental test
Algorithm unfolding, which provides a systematic connection between conventional model-
based algorithms and modern data-based deep learning, has exhibited great empirical …
based algorithms and modern data-based deep learning, has exhibited great empirical …
Achievable rates of generalized linear systems with orthogonal/vector AMP receiver
In signal processing and wireless communications, the generalized linear system (GLS) has
been widely used to evaluate the impact of nonlinear preprocessing on receiver …
been widely used to evaluate the impact of nonlinear preprocessing on receiver …
Decentralized channel estimation for the uplink of grant-free massive machine-type communications
This paper studies the joint estimation of channel fading and user activity for the uplink of a
grant-free massive machine-type communication system. Comparing with previous studies …
grant-free massive machine-type communication system. Comparing with previous studies …
Deep unfolding network for ISAR imaging based on hypernetwork
J Guo, H Shi, T Yang, D Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Inverse synthetic aperture radar (ISAR) imaging can provide high-resolution images of
targets. More recently, the unfolding algorithm has successfully realized fast and efficient …
targets. More recently, the unfolding algorithm has successfully realized fast and efficient …
Phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork
Phase retrieval (PR) is an important component in modern computational imaging systems.
Recent advances in deep learning have introduced new possibilities for a robust and fast …
Recent advances in deep learning have introduced new possibilities for a robust and fast …
Generalized linear systems with OAMP/VAMP receiver: Achievable rate and coding principle
The generalized linear system (GLS) has been widely used in wireless communications to
evaluate the effect of nonlinear preprocessing on receiver performance. Generalized …
evaluate the effect of nonlinear preprocessing on receiver performance. Generalized …
Phase retrieval with learning unfolded expectation consistent signal recovery algorithm
Phase retrieval algorithms are now an important component of many modern computational
imaging systems. A recently proposed scheme called generalized expectation consistent …
imaging systems. A recently proposed scheme called generalized expectation consistent …
Vector Approximate Survey Propagation for Model-Mismatched Estimation (Or: How to Achieve Kabashima's 1RSB Prediction)
Q Chen, H Zhang, H Zhu - arXiv preprint arXiv:2311.05111, 2023 - arxiv.org
For approximate inference in high-dimensional generalized linear models (GLMs), the
performance of an estimator may significantly degrade when mismatch exists between the …
performance of an estimator may significantly degrade when mismatch exists between the …
Decentralized detection for B5G massive MIMO: When local computation meets iterative algorithm
Q Yang, J Yan, X Zhang, H Zhang - Physical Communication, 2022 - Elsevier
Massive multiple-input multiple-output (MIMO) is a key enabler for 5G and beyond. For
signal detection of massive MIMO, computing resources available at the network edge were …
signal detection of massive MIMO, computing resources available at the network edge were …