Joint channel estimation and signal recovery for RIS-empowered multiuser communications
Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising
candidate for energy-efficient solutions in future wireless networks. Their dynamic and low …
candidate for energy-efficient solutions in future wireless networks. Their dynamic and low …
Grant-free access via bilinear inference for cell-free MIMO with low-coherence pilots
We propose a novel joint activity, channel and data estimation (JACDE) scheme for multiple-
input multiple-output (MIMO) systems. The contribution aims to allow significant overhead …
input multiple-output (MIMO) systems. The contribution aims to allow significant overhead …
Approximate message passing with unitary transformation for robust bilinear recovery
Z Yuan, Q Guo, M Luo - IEEE Transactions on Signal …, 2020 - ieeexplore.ieee.org
Recently, several promising approximate message passing (AMP) based algorithms have
been developed for bilinear recovery with model Y= Σ k= 1 K bk A k C+ W, where {bk} and C …
been developed for bilinear recovery with model Y= Σ k= 1 K bk A k C+ W, where {bk} and C …
Bayesian receiver design via bilinear inference for cell-free massive MIMO with low-resolution ADCs
We propose a novel joint channel and data estimation (JCDE) scheme to combat the rate
limitation in fronthaul links of cell-free massive MIMO (CF-mMIMO) systems introduced by …
limitation in fronthaul links of cell-free massive MIMO (CF-mMIMO) systems introduced by …
Generalized unitary approximate message passing for double linear transformation model
L Mo, X Lu, J Yuan, C Zhang, Z Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The double linear transformation model plays an important role in a variety of science and
engineering applications, where is estimated through known transformation matrices and …
engineering applications, where is estimated through known transformation matrices and …
A new insight into GAMP and AMP
A concise expectation propagation (EP)-based message passing algorithm (MPA) is derived
for the general measurement channel. By neglecting some high-order infinitesimal terms …
for the general measurement channel. By neglecting some high-order infinitesimal terms …
Quantum annealing based binary compressive sensing with matrix uncertainty
Compressive sensing is a novel approach that linearly samples sparse or compressible
signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional …
signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional …
Generalized Bilinear Factorization via Hybrid Vector Message Passing
Generalized bilinear factorization (GBF), in which two matrices are recovered from noisy and
typically compressed measurements of their product, arises in various applications such as …
typically compressed measurements of their product, arises in various applications such as …
Bilinear Gaussian belief propagation for large MIMO channel and data estimation
K Ito, T Takahashi, S Ibi… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
This paper proposes bilinear Gaussian belief propagation (BiGaBP) for joint channel and
data estimation (JCDE) in large multi-user multi-input multi-output (MU-MIMO) systems …
data estimation (JCDE) in large multi-user multi-input multi-output (MU-MIMO) systems …
Bilinear Gaussian Belief Propagation for Massive MIMO Detection with Non-Orthogonal Pilots
K Ito, T Takahashi, S Ibi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We propose a novel joint channel and data estimation (JCDE) algorithm via bilinear
Gaussian belief propagation (BiGaBP) for massive multi-user MIMO (MU-MIMO) systems …
Gaussian belief propagation (BiGaBP) for massive multi-user MIMO (MU-MIMO) systems …