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"Low-Rank Matrix Sensing-Based Channel Estimation for mmWave and THz Hy" by Khawaja Fahad Masood, Jun Tong et al. - Vimarsana News

"Low-Rank Matrix Sensing-Based Channel Estimation for mmWave and THz Hy" by Khawaja Fahad Masood, Jun Tong et al.

This paper studies the channel estimation for wideband multiple-input multiple-output (MIMO) systems equipped with hybrid analog/digital transceivers operating in the millimeter-wave (mmWave) or terahertz (THz) bands. By exploiting the low-rank property of the concatenated channel matrix of the delay taps, we formulate the channel estimation problem as a low-rank matrix sensing (LRMS) problem and solve it using a low-complexity generalized conditional gradient-alternating minimization (GCG-ALTMIN) algorithm. This LRMS-based solution can accommodate different precoder/combiner and training stru...

Source: uow.edu.au
"Variational Bayesian Inference Clustering Based Joint User Activity an" by Zhaoji Zhang, Qinghua Guo et al. - Vimarsana News

"Variational Bayesian Inference Clustering Based Joint User Activity an" by Zhaoji Zhang, Qinghua Guo et al.

Tailor-made for massive connectivity and sporadic access, grant-free random access has become a promising candidate access protocol for massive machine-type communications (mMTC). Compared with conventional grant-based protocols, grant-free random access skips the exchange of scheduling information to reduce the signaling overhead, and facilitates sharing of access resources to enhance access efficiency. However, some challenges remain to be addressed in the receiver design, such as unknown identity of active users and multi-user interference (MUI) on shared access resources. In this work, we ...

Source: uow.edu.au
"Joint Message-Passing-Based Bidirectional Channel Estimation and Equal" by Guang Yang, Qinghua Guo et al. - Vimarsana News

"Joint Message-Passing-Based Bidirectional Channel Estimation and Equal" by Guang Yang, Qinghua Guo et al.

Acquiring accurate channel state information and mitigating severe intersymbol interference are challenging for underwater acoustic communications with moving transceivers due to the rapid changes of the underwater acoustic channels. In this work, we address the issue using a superimposed training (ST) scheme with a powerful channel estimation method. Different from the conventional time-multiplexed training, training sequences with a small power are superimposed with symbol sequences. The training signals are transmitted over all time, leading to enhanced tracking capability to deal with time...

Source: uow.edu.au