M Rodrigo Castellanos

Works (7)

Updated: April 5th, 2024 14:50

2023 journal article

A Wideband Generalization of the Near-Field Region for Extremely Large Phased-Arrays

IEEE WIRELESS COMMUNICATIONS LETTERS, 12(3), 515–519.

author keywords: Near-field; wideband; phased-array; frequency-selective; beamforming gain
Sources: Web Of Science, NC State University Libraries
Added: April 24, 2023

2023 journal article

Joint Relay Selection and Beam Management Based on Deep Reinforcement Learning for Millimeter Wave Vehicular Communication

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 72(10), 13067–13080.

author keywords: mmWave MIMO; 3GPP NR V2X; relay selection; deep reinforcement learning
TL;DR: A joint relay selection and beam management policy based on deep reinforcement learning (DRL) using the Markov property of beam indices and beam measurements is proposed, which learns time-varying thresholds that adapt to the dynamic channel conditions and traffic patterns. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 2, 2024

2023 article

Multi-node joint communication and radar using synchronization signals in 5G

2023 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, CAMSAP, pp. 161–165.

author keywords: Joint communication and radar; 5G; multi radar; quantization
TL;DR: This work proposes a JCR system with multiple nodes that leverages the 5G communication waveform for range estimation and proposes a linear minimum mean squared error (LMMSE) based estimate that combines the information from all nodes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: March 25, 2024

2023 journal article

Physical Layer Security at a Point-to-Point MIMO System With 1-Bit DACs and ADCs

IEEE WIRELESS COMMUNICATIONS LETTERS, 12(8), 1439–1443.

author keywords: Quantization (signal); MIMO communication; Covariance matrices; Resource management; Transmitters; Signal to noise ratio; Security; Multiple-input multiple-output communication; 1-bit digital-to-analog and analog-to-digital converters; discrete and Gaussian signaling; channel state information
TL;DR: This letter evaluates the secrecy rate for the extreme case of 1-bit single-user multiple-input multiple-output systems following two signaling approaches and proposes an algorithm that provides near-optimal results for low signal-to-noise ratios (SNRs). (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 28, 2023

2022 article

Joint Beam Management and Relay Selection Using Deep Reinforcement Learning for MmWave UAV Relay Networks

2022 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM).

TL;DR: This paper uses deep reinforcement learning (DRL) to jointly select unblocked UAV relays and to perform beam management and shows with numerical evaluation that the proposed method outperforms baselines without prior channel knowledge. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 15, 2023

2022 article

Nonuniform true time delay precoding in wideband MISO systems

2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, pp. 1233–1237.

author keywords: true time delay beamforming; wideband; multi-path; sparse eigenvalue problem; minorization-maximization
TL;DR: This work reformulates the TTD constraint by including a sparsity regularizer penalty term in the objective and proposes a procedure to compute the delays using the precoder response obtained after solving a sparse eigenvalue problem for maximizing the total energy. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 5, 2023

2022 journal article

Position-Based Adaptive Power Back-Off for User Electromagnetic Exposure Management in Millimeter Wave Systems

IEEE WIRELESS COMMUNICATIONS LETTERS, 11(1), 86–90.

author keywords: Discrete Fourier transforms; Transmitters; Array signal processing; Wireless communication; Millimeter wave measurements; Millimeter wave devices; Density measurement; Millimeter wave communication; electromagnetic exposure; power density (PD); adaptive power back-off; DFT codebook
TL;DR: This letter proposes the use of a signal-level power density model to adaptively reduce the transmit power of a millimeter wave system as the position of the device changes, and develops a method for efficiently calculating power back-off factors for beams in a discrete Fourier Transform codebook. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: January 18, 2022

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