9 citations · 13 across the 10 of their papers we have counts for
10 papers
Separable multidimensional orthogonal matching pursuit and its application to joint localization and communication at mmWave
Joan Palacios, Nuria González-Prelcic
Greedy sparse recovery has become a popular tool in many applications, although its complexity is still prohibitive when large sparsifying dictionaries or sensing matrices have to…
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration
Hongxiang Xie, Joan Palacios, Nuria González-Prelcic
Low overhead channel estimation based on compressive sensing (CS) has been widely investigated for hybrid wideband millimeter wave (mmWave) multiple-input multiple-output (MIMO) sy…
Multidimensional orthogonal matching pursuit: theory and application to high accuracy joint localization and communication at mmWave
Joan Palacios, Nuria González-Prelcic, Cristian Rusu
Greedy approaches in general, and orthogonal matching pursuit in particular, are the most commonly used sparse recovery techniques in a wide range of applications. The complexity o…
Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit
Joan Palacios, Nuria González-Prelcic, Cristian Rusu
Compressive approaches provide a means of effective channel high resolution channel estimates in millimeter wave MIMO systems, despite the use of analog and hybrid architectures. S…
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,…
Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave
Murat Bayraktar, Joan Palacios, Nuria González-Prelcic +1
RIS-aided millimeter wave wireless systems benefit from robustness to blockage and enhanced coverage. In this paper, we study the ability of RIS to also provide enhanced localizati…
Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks
Anish Shastri, Joan Palacios, Paolo Casari
Millimeter wave (mmWave) localization algorithms exploit the quasi-optical propagation of mmWave signals, which yields sparse angular spectra at the receiver. Geometric approaches…
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…
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…
Tracking mm-Wave Channel Dynamics: Fast Beam Training Strategies under Mobility
Joan Palacios, Danilo De Donno, Joerg Widmer
In order to cope with the severe path loss, millimeter-wave (mm-wave) systems exploit highly directional communication. As a consequence, even a slight beam misalignment between tw…