Research

Energy Efficient Transmission of 3D Meshes Over MMWave-Based Massive MIMO Systems
Many mixed reality applications are b ased on the real-time compression and streaming of three-dimensional (3D) mod­ els. Thus, they …
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Hybrid Beamforming with Random Analog Sampling for Wideband Channel Estimation in Millimeter Wave Massive MIMO Systems
Hybrid analog and digital BeamForming (HBF) transceiver architectures realizing directive communication over large bandwidths in …
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Robust and Efficient Privacy Preservation in Industrial IoT via correlation completion and tracking
The Industrial IoT (IIoT) is a key element of Industry 4.0, bringing together modern sensor technology, fog - cloud computing …
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Robust Estimator for Lens-based Hybrid MIMO with Low-Resolution Sampling
It is well known that large antenna arrays with beamforming capabilities are required to compensate for the high path-loss at …
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Signal Processing on Static and Dynamic 3D Meshes: Sparse Representations and Applications
Nowadays, real-time 3D scanning and reconstruction becomes a requirement for a variety of interactive applications in various fields, …
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Wideband MIMO Channel Estimation for Hybrid Beamforming Millimeter Wave Systems via Random Spatial Sampling
Millimeter Wave (mmWave) massive Multiple In- put Multiple Output (MIMO) systems realizing directive com- munication over large …
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New Paper: Adaptive windowing for ICI mitigation in vehicular communications
This research introduces adaptive windowing for intercarrier interference mitigation in vehicular communications, improving receiver performance by tracking non-stationary channel statistics.
Dec 1, 2018 1 min read Paper
New Paper: Distributed consolidation of highly incomplete dynamic point clouds based on rank minimization
A novel distributed consolidation approach uses rank minimization to reconstruct highly incomplete dynamic point clouds, enabling reliable generation of 3-D animated models.
Dec 1, 2018 1 min read Paper
New Paper: Massive MIMO channel estimation for millimeter wave systems via matrix completion
This work develops a matrix completion-based approach to massive MIMO channel estimation in millimeter wave systems, achieving reliable recovery with reduced training symbols and improved robustness to channel variability.
Nov 1, 2018 1 min read Paper
New Paper: Efficient channel estimation in millimeter wave hybrid MIMO systems with low resolution ADCs
The proposed algorithm efficiently estimates mmWave MIMO channels using compressed sensing and SURE-based parametric denoising, effectively leveraging low-resolution ADCs in hybrid systems.
Sep 1, 2018 1 min read Paper