… This section introduces a Pilot Aided-Bayesian Learning (PA-BL) technique for CSI
estimation in dual-wideband channel. This can also be applied for the case of an underdetermined …

… about the channel response is available. Usually, the power-delay profile of the channel
exhibits … trend towards modelling multipath channels using sparse Bayesian Learning (SBL) and …

… Secondly, we conduct a case study on channel estimation for IRS-aided systems with our
approach and illustrate that incorporating block sparsity in our scheme can further enhance …

… to develop an efficient channel estimation scheme for RISassisted MIMO IoT systems within
structured Bayesian learning framework. However, the high-dimensional channel matrix with …

… As a result, the channel estimation problem is posed as that of estimating a vector of …
Bayesian learning (BSBL). Using variational Bayesian inference, we embed the channel estimator …

… In this section, a multitask sparse Bayesian learning channel estimation algorithm for turbo
equalization is proposed. It should be noted that different from [22] where the sparse vectors …

… methods applied either sparse channel model or cluster-… Bayesian learning (BSBL) algorithms
[19], which can learn and … propose two Bayesian cluster-sparse channel estimation (BCS-…

… -grid sparse Bayesian learning (SBL) algorithm to estimate the near-field (NF) channel in
ultra-… We first exploit the sparsity of the NF channel in the polar domain and perform an off-grid …

… In Section-IV, MMSE-based channel estimation is presented, followed by our robust transceiver
design. This is followed by our simulation results in Section-V and concluding remarks in …

… practical applications, this article investigates sparse channel estimation for OFDM from
the perspective of Bayesian learning. Under the Bayesian learning framework, the large-scale …