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Found 11 papers, 0 papers with code
Joint State and Input Estimation for Linear Dynamical Systems with Sparse Control
We present a Bayesian approach that exploits the input sparsity to significantly improve estimation accuracy.
Half-Duplex APs with Dynamic TDD vs. Full-Duplex APs in Cell-Free Systems
Further, the proposed algorithms are precoder and combiner agnostic and come with closed-form update equations for the UL and DL power control coefficients.
Multi-Carrier Wideband OCDM-Based THz Automotive Radar
In this paper, we propose a bistatic THz automotive radar that employs the recently proposed orthogonal chirp division multiplexing (OCDM) multi-carrier waveform.
Performance Analysis of Irregular Repetition Slotted Aloha with Multi-Cell Interference
Irregular repetition slotted aloha (IRSA) is a massive random access protocol in which users transmit several replicas of their packet over a frame to a base station.
Orthogonal Delay Scale Space Modulation: A New Technique for Wideband Time-Varying Channels
Orthogonal Time Frequency Space (OTFS) modulation is a recently proposed scheme for time-varying narrowband channels in terrestrial radio-frequency communications.
User Activity Detection for Irregular Repetition Slotted Aloha based MMTC
For example, in a system with 1500 users and 10% of the users being active per frame, a pilot length of as low as 20 symbols is sufficient for accurate user activity detection.
Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?
We consider a dynamic time division duplex (DTDD) enabled cell-free massive multiple-input multiple-output (CF-mMIMO) system, where each half-duplex (HD) access point (AP) is scheduled to operate in the uplink (UL) or downlink (DL) mode based on the data demands of the user equipments (UEs), with the goal of maximizing the sum UL-DL spectral efficiency (SE).
Impact of Subcarrier Allocation and User Mobility on the Uplink Performance of Multi-User Massive MIMO-OFDM Systems
Motivated by this, we consider a general subcarrier allocation scheme and derive expressions for the ICI power, uplink signal to interference plus noise ratio and the achievable uplink sum-rate, taking into account the ICI and the multi-user interference due to channel aging.
Multiple Support Recovery Using Very Few Measurements Per Sample
For a given budget of $m$ measurements per sample, the goal is to recover the $\ell$ underlying supports, in the absence of the knowledge of group labels.
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
The architecture of L-SBL allows it to accept the measurement matrix as an input to the network, and thereby avoids the need for retraining.
Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach
This work proposes a decentralized, iterative, Bayesian algorithm called CB-DSBL for in-network estimation of multiple jointly sparse vectors by a network of nodes, using noisy and underdetermined linear measurements.
