Works (5)

Updated: December 19th, 2023 05:02

2023 journal article

Hybrid mmWave MIMO Systems Under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-Aided Configuration

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 22(10), 6898–6913.

By: H. Xie*, J. Palacios n & N. Gonzalez-Prelcic n

author keywords: Dictionary learning; millimeter wave (mmWave); massive MIMO; beam squint; spatial wideband effect; hardware impairments; mutual coupling; antenna spacing error; channel estimation; sparse coding; dictionary update
TL;DR: A dictionary learning (DL) algorithm is proposed to obtain the sparsifying dictionaries embedding hardware impairments, by considering the effect of beam squint without introducing it into the learning process. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: Web Of Science, ORCID
Added: March 1, 2023

2022 article

A Dynamic Codebook Design for Analog Beamforming in MIMO LEO Satellite Communications

IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022).

TL;DR: A dynamic codebook is proposed that provides a stable gain during the period of time that the satellite covers a given cell, while avoiding link retraining and extra calculation as the satellite moves, and provides a higher signal-to-interference-plus-noise (SINR) ratio than those DFT codebooks commonly used in cellular systems. (via Semantic Scholar)
Source: Web Of Science
Added: December 12, 2022

2022 article

Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach

2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), pp. 355–359.

By: Y. Chen n, J. Palacios n, N. Gonzalez-Prelcic n, T. Shimizu & H. Lu

TL;DR: A low complexity channel estimation strategy of the angle of departure and time difference of arrival based on multidimensional orthogonal matching pursuit is proposed and a deep neural network is designed that predicts the order of the channel paths so only the LoS and first order reflections are used for localization. (via Semantic Scholar)
Source: Web Of Science
Added: February 27, 2023

2022 article

Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks

2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), pp. 674–679.

By: A. Shastri*, J. Palacios n & P. Casari*

author keywords: Millimeter wave; AoA; ADoA; Neural networks; Indoor localization
TL;DR: This work proposes a shallow neural network model to localize mmWave devices indoors, which requires significantly fewer weights than those proposed in the literature, is amenable for implementation in resource-constrained hardware, and needs fewer training samples to converge. (via Semantic Scholar)
Source: Web Of Science
Added: August 8, 2022

2022 article

Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave

2022 IEEE 23RD INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATION (SPAWC).

By: M. Bayraktar n, J. Palacios n, N. Gonzalez-Prelcic n & C. Zhang*

author keywords: RIS-aided millimeter wave communication; joint localization and communication; channel estimation
TL;DR: This paper proposes to exploit a multidimensional orthogonal matching pursuit strategy for compressive channel estimation in a RIS-aided millimeter wave system and shows how this algorithm, based on computing the projections on a set of independent dictionaries instead of a single large dictionary, enables high accuracy channel estimation at reduced complexity. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Web Of Science
Added: April 4, 2023

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