91 citations · 176 across the 19 of their papers we have counts for
19 papers
Sparse Recovery with Attention: A Hybrid Data/Model Driven Solution for High Accuracy Position and Channel Tracking at mmWave
Yun Chen, Nuria González-Prelcic, Takayuki Shimizu +2
In this paper, we propose first a mmWave channel tracking algorithm based on multidimensional orthogonal matching pursuit algorithm (MOMP) using reduced sparsifying dictionaries, w…
Learning to Localize with Attention: from sparse mmWave channel estimates from a single BS to high accuracy 3D location
Yun Chen, Nuria González-Prelcic, Takayuki Shimizu +1
One strategy to obtain user location information in a wireless network operating at millimeter wave (mmWave) is based on the exploitation of the geometric relationships between the…
Enabling NLoS LEO Satellite Communications with Reconfigurable Intelligent Surfaces
Xiaowen Tian, Nuria Gonzalez-Prelcic, Takayuki Shimizu
Low Earth Orbit (LEO) satellite communications (SatCom) are considered a promising solution to provide uninterrupted services in cellular networks. Line-of-sight (LoS) links betwee…
Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach
Yun Chen, Joan Palacios, Nuria González-Prelcic +2
High resolution compressive channel estimation provides information for vehicle localization when a hybrid mmWave MIMO system is considered. Complexity and memory requirements can,…
Adaptive Neural Network-based OFDM Receivers
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer +3
We propose and examine the idea of continuously adapting state-of-the-art neural network (NN)-based orthogonal frequency division multiplex (OFDM) receivers to current channel cond…
Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication
Andrew Graff, Yun Chen, Nuria González-Prelcic +1
Configuring millimeter wave links following a conventional beam training protocol, as the one proposed in the current cellular standard, introduces a large communication overhead,…
An Analytical Latency Model and Evaluation of the Capacity of 5G NR to Support V2X Services using V2N2V Communications
M. C. Lucas-Estañ, B. Coll-Perales, T. Shimizu +5
5G has been designed to support applications such as connected and automated driving. To this aim, 5G includes a highly flexible New Radio (NR) interface that can be configured to…
End-to-End V2X Latency Modeling and Analysis in 5G Networks
B. Coll-Perales, M. C. Lucas-Estañ, T. Shimizu +5
5G networks provide higher flexibility and improved performance compared to previous cellular technologies. This has raised expectations on the possibility to support advanced V2X…
A Dynamic Codebook Design for Analog Beamforming in MIMO LEO Satellite Communications
Joan Palacios, Nuria González-Prelcic, Carlos Mosquera +1
Beamforming gain is a key ingredient in the performance of LEO satellite communication systems to be integrated into cellular networks. However, beam codebooks previously designed…
Radar Aided mmWave Vehicle-to-InfrastructureLink Configuration Using Deep Learning
Yun Chen, Andrew Graff, Nuria González-Prelcic +1
The high overhead of the beam training process is the main challenge when establishing mmWave communication links, especially for vehicle-to-everything (V2X) scenarios where the ch…
A hybrid beamforming design for massive MIMO LEO satellite communications
Joan Palacios, Nuria Gonzalez-Prelcic, Carlos Mosquera +2
5G and future cellular networks intend to incorporate low earth orbit (LEO) satellite communication systems (SatCom) to solve the coverage and availability problems that cannot be…
Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer +4
We compare the potential of neural network (NN)-based channel estimation with classical linear minimum mean square error (LMMSE)-based estimators, also known as Wiener filtering. F…
Towards mmWave V2X in 5G and Beyond to Support Automated Driving
Kei Sakaguchi, Ryuichi Fukatsu, Tao Yu +8
Millimeter wave provides high data rates for Vehicle-to-Everything (V2X) communications. This paper motivates millimeter wave to support automated driving and begins by explaining…
Securing Vehicle-to-Everything (V2X) Communication Platforms
Monowar Hasan, Sibin Mohan, Takayuki Shimizu +1
Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network -- forms the vehicle-to-everything (V2X) communication pla…
Path Loss Models for V2V mmWave Communication: Performance Evaluation and Open Challenges
Marco Giordani, Takayuki Shimizu, Andrea Zanella +3
Recently, millimeter wave (mmWave) bands have been investigated as a means to enhance automated driving and address the challenging data rate and latency demands of emerging automo…
Channel Tracking and Hybrid Precoding for Wideband Hybrid Millimeter Wave MIMO Systems
Javier Rodriguez-Fernandez, Nuria Gonzalez-Prelcic, Takayuki Shimizu
A major source of difficulty when operating with large arrays at mmWave frequencies is to estimate the wideband channel, since the use of hybrid architectures acts as a compression…
Performance and Scaling of Collaborative Sensing and Networking for Automated Driving Applications
Yicong Wang, Gustavo de Veciana, Takayuki Shimizu +1
A critical requirement for automated driving systems is enabling situational awareness in dynamically changing environments. To that end vehicles will be equipped with diverse sens…
Online Learning for Position-Aided Millimeter Wave Beam Training
Vutha Va, Takayuki Shimizu, Gaurav Bansal +1
Accurate beam alignment is essential for beam-based millimeter wave communications. Conventional beam sweeping solutions often have large overhead, which is unacceptable for mobile…
Inverse Multipath Fingerprinting for Millimeter Wave V2I Beam Alignment
Vutha Va, Junil Choi, Takayuki Shimizu +2
Efficient beam alignment is a crucial component in millimeter wave systems with analog beamforming, especially in fast-changing vehicular settings. This paper proposes a position-a…