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Rafael González Ayestarán

dblp:127/4146 · DBLP profile ↗
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6ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-9775-9448ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3Computer networks · 2 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 64% Cellular and mobile networks · 36%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
5g
0.912025
A Practical Implementation of mmWave NOMA With IRS-Aided Indoor Coverage Extension · IEEE Trans. Commun. 2025
Cellular and mobile networks
millimeter-wave communication
0.912025
A Practical Implementation of mmWave NOMA With IRS-Aided Indoor Coverage Extension · IEEE Trans. Commun. 2025
Physical-layer communications › multiple access
non-orthogonal multiple access
0.912025
A Practical Implementation of mmWave NOMA With IRS-Aided Indoor Coverage Extension · IEEE Trans. Commun. 2025
Physical-layer communications › multiple access › non-orthogonal multiple access
power-domain NOMA
0.912025
A Practical Implementation of mmWave NOMA With IRS-Aided Indoor Coverage Extension · IEEE Trans. Commun. 2025
Physical-layer communications › modulation
constellation design
0.412019
Design of Asymptotically Optimal Improper Constellations With Hexagonal Packing · IEEE Trans. Commun. 2019
Physical-layer communications
modulation
0.412019
Design of Asymptotically Optimal Improper Constellations With Hexagonal Packing · IEEE Trans. Commun. 2019
Physical-layer communications › modulation
quadrature amplitude modulation
0.412019
Design of Asymptotically Optimal Improper Constellations With Hexagonal Packing · IEEE Trans. Commun. 2019
Physical-layer communications
reconfigurable intelligent surface
0.312025
A Practical Implementation of mmWave NOMA With IRS-Aided Indoor Coverage Extension · IEEE Trans. Commun. 2025

Methods — techniques the papers use, named apart from their topics

superposition coding · 0.9over-the-air measurements · 0.9hexagonal lattice packing · 0.4
YearPublicationVenuePosition
2025 A Practical Implementation of mmWave NOMA With IRS-Aided Indoor Coverage Extension
abstract
This work presents a practical implementation that integrates three emerging wireless technologies: millimeter-wave (mmWave) communications, non-orthogonal multiple access (NOMA), and intelligent reflective surfaces (IRS). The goal is to provide multi-user mmWave indoor coverage in an indoor setting. Coverage in the mmWave band, often affected by blind spots, is extended by the ad-hoc design and deployment of a fully passive IRS that requires no power supply. Contrary to the use of a reconfigurable intelligent surface (RIS), this solution lacks the dynamic reconfigurability of the relay but offers a low-cost, easy-to-deploy alternative with zero power consumption. The integration with power-domain NOMA provides increased spectral efficiency by multiplexing two users in the same frequency, time and code slot. To the best of our knowledge, this is the first mmWave NOMA implementation and the first prototype that includes both NOMA and IRS. The radio frequency (RF) design ensures a bandwidth of 400 MHz centered at 24.45 GHz, with the IRS covering an angular synthesized margin of 10 degrees when illuminated by a half-power beamwidth of less than 3 degrees. The communication link is evaluated through over-the-air (OTA) measurements of channel power, error vector magnitude (EVM) and symbol error rate (SER), considering different user positions and superposition coding strategies. The system achieves a spectral efficiency of up to 4.62 bps/Hz while serving two users per frequency subchannel with a SER below 10-3.
Álvaro Pendás Recondo, Sergio M. Feito, Álvaro F. Vaquero, Jesús Alberto López-Fernández, Rafael González Ayestarán, Marcos Rodríguez Pino, Manuel Arrebola
IEEE Trans. Commun.5
2019 Design of Asymptotically Optimal Improper Constellations With Hexagonal Packing
abstract
This paper addresses the problem of designing asymptotically optimal improper constellations with a given circularity coefficient (correlation coefficient between the constellation and its complex conjugate). The designed constellations are optimal in the sense that, at high signal-to-noise-ratio (SNR) and for a large number of symbols, yield the lowest probability of error under an average power constraint for additive white Gaussian noise channels. As the number of symbols grows, the optimal constellation is the intersection of the hexagonal lattice with an ellipse whose eccentricity determines the circularity coefficient. Based on this asymptotic result, we propose an algorithm to design finite improper constellations. The proposed constellations provide significant SNR gains with respect to previous improper designs, which were generated through a widely linear transformation of a standard M-ary quadrature amplitude modulation constellation. As an application example, we study the use of these improper constellations by a secondary user in an underlay cognitive radio network.
Jesús Alberto López-Fernández, Rafael González Ayestarán, Ignacio Santamaría, Christian Lameiro
IEEE Trans. Commun.2
2017 Using heterogeneous computing for scattering prediction in scenarios with several source configurations
Miguel López-Portugués, Jesús Alberto López-Fernández, José Ranilla, Rafael González Ayestarán, Fernando Las-Heras Andrés
J. Supercomput.4
2014 Aircraft noise scattering prediction using different accelerator architectures
Miguel López-Portugués, Jesús Alberto López-Fernández, N. Díaz-Gracia, Rafael González Ayestarán, José Ranilla
J. Supercomput.4
2013 Parallelization of the FMM on distributed-memory GPGPU systems for acoustic-scattering prediction
Miguel López-Portugués, Jesús Alberto López-Fernández, José Ranilla, Rafael González Ayestarán, Fernando Las-Heras Andrés
J. Supercomput.4
2003 Maximum margin equalizers trained with the Adatron algorithm
Ignacio Santamaría, Rafael González Ayestarán, Carlos Pantaleón, José C. Príncipe
Signal Process.2