research
∙
08/14/2023
Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios
Leveraging sensory information to aid the millimeter-wave (mmWave) and s...
share
research
∙
09/21/2022
Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure
The advent of deep learning in the past decade has significantly helped ...
research
∙
11/16/2021
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration
Overcoming the link blockage challenges is essential for enhancing the r...
research
∙
03/18/2021
Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence
The support of coexisting ultra-reliable and low-latency (URLL) and enha...
research
∙
02/22/2021
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems
Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined ...
research
∙
02/22/2021
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction
We consider the problem of proactive handoff and beam selection in Terah...
research
∙
02/18/2021
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff
The sensitivity to blockages is a key challenge for the high-frequency (...
research
∙
02/18/2021
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems
Employing large antenna arrays is a key characteristic of millimeter wav...
research
∙
01/18/2021
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements
Millimeter wave (mmWave) communication is a key component of 5G and beyo...
research
∙
06/25/2020
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware
Millimeter wave (mmWave) and massive MIMO systems are intrinsic componen...
research
∙
06/17/2020
Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks
Unlocking the full potential of millimeter-wave and sub-terahertz wirele...
research
∙
02/25/2020
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO
Scaling the number of antennas up is a key characteristic of current and...
research
∙
02/06/2020
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions
Vision-aided wireless communication is motivated by the recent advances ...
research
∙
11/14/2019
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
The growing role that artificial intelligence and specifically machine l...
research
∙
11/14/2019
Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction
This paper investigates a novel research direction that leverages vision...
research
∙
10/15/2019
Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots
This paper considers uplink massive MIMO systems with 1-bit analog-to-di...
research
∙
10/07/2019
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels
Predicting the millimeter wave (mmWave) beams and blockages using sub-6G...
research
∙
05/09/2019
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency
Can we map the channels at one set of antennas and one frequency band to...
research
∙
04/23/2019
Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning
Employing large intelligent surfaces (LISs) is a promising solution for ...
research
∙
10/05/2018
