Search Results - "Araujo, Daniel C."

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  1. 1

    A Framework for Radio Resource Allocation and SDMA Grouping in Massive MIMO Systems by Mauricio, Weskley V. F., Araujo, Daniel C., Maciel, Tarcisio Ferreira, Lima, Francisco Rafael Marques

    Published in IEEE access (2021)
    “…This work proposes a framework for multiuser massive Multiple Input Multiple Output (MIMO) systems which is composed of three parts - clustering , grouping ,…”
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    Journal Article
  2. 2

    High prevalence of neuropathic pain in the hand of patients with traumatic brachial plexus injury: a cross-sectional study by Santana, Marcus V B, Bina, Mauro T, Paz, Matheus G, Santos, Scheila N, Teixeira, Manoel J, Raicher, Irina, Martins, José V, Andrade, Daniel C Araujo, Baptista, Abrahão F

    Published in Arquivos de neuro-psiquiatria (01-11-2016)
    “…To describe the pain profile of patients with traumatic brachial plexus injury. We enrolled 65 patients with traumatic brachial plexus injury. The Douleur…”
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    Journal Article
  3. 3

    Corrections to "Tensor-Based Channel Estimation for Massive MIMO-OFDM Systems" by Araujo, Daniel C., De Almeida, Andre L. F., Da Costa, Joao P. C. L., De Sousa, Rafael. T.

    Published in IEEE access (2019)
    “…In <xref ref-type="bibr" rid="ref1">[1] , an acknowledgment sentence within the "Funding agency" field of the online version was missed, as well as in the…”
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    Journal Article
  4. 4

    The effect of leucaena hay as a source of effective fibre and nutrients in diets with forage palm for finishing sheep in semi‐arid regions by Moreira, Antonia L., Alves, Arnaud A., Araújo, Daniel L. C., Moreira Filho, Miguel A., Costa, Jandson V., Azevêdo, Danielle M. M. R., Parente, Henrique N., Alves, Fabiana C.

    Published in Animal science journal (01-01-2021)
    “…The present study was conducted to evaluate the intake, digestibility and nitrogen balance of diets for finishing sheep, containing leucaena hay as a source of…”
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    Journal Article
  5. 5

    Adaptive Modulation and Coding Based on Reinforcement Learning for 5G Networks by Mota, Mateus P., Araujo, Daniel C., Costa Neto, Francisco Hugo, de Almeida, Andre L. F., Cavalcanti, F. Rodrigo

    Published in 2019 IEEE Globecom Workshops (GC Wkshps) (01-12-2019)
    “…We design a self-exploratory reinforcement learning (RL) framework, based on the Q-learning algorithm, that enables the base station (BS) to choose a suitable…”
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    Conference Proceeding
  6. 6

    Beam Management Solution Using Q-Learning Framework by Araujo, Daniel C., de Almeida, Andre L. F.

    “…The beam management is a procedure that properly selects the beams to overcome strong path loss attenuation. This procedure is specially important in 5G-NR…”
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    Conference Proceeding
  7. 7

    A Spectral Efficiency Enhancement for Chirp Spread Spectrum Downlink Communications by ARAUJO, Daniel C., FERRE, Guillaume, CAVALCANTE, Charles CASIMIRO, GUERREIRO, Igor M.

    “…The objective of the paper is to propose a transmitter/receiver system that increases the spectral efficiency in the context of CSS-type downlink…”
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    Conference Proceeding
  8. 8

    SEMFOGO: An Intelligent Fire Detection System for the Cerrado Biome by Borges, Natalia O., Fonseca, Livia G. C., Barreto, Priscila Solis, Alchieri, Eduardo A. P., Caetano, Marcos F., Araujo, Daniel C., Resende, Paulo Angelo A., Brandao, Leonardo, Vieira, Lucas

    “…Forest fires have the potential to cause enormous social, economic and, above all, environmental damage. Nowadays, the intelligent and early detection of…”
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    Conference Proceeding
  9. 9
  10. 10

    Hybrid beamforming design with finite-resolution phase-shifters for frequency selective massive MIMO channels by Araujo, Daniel C., Karipidis, Eleftherios, de Almeida, Andre L. F., Mota, Joao C. M.

    “…Massive multiple-input multiple-output (MIMO) theoretical performance results have attracted the attention of the community due to the possibility of…”
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    Conference Proceeding
  11. 11

    Compressive sensing based channel estimation for massive MIMO systems with planar arrays by Araujo, Daniel C., de Almeida, Andre L. F., Mota, Joao C. M.

    “…In this paper, we consider the downlink training in a massive MIMO system, where the base station (BS) is equipped with a large-scale planar array and the user…”
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    Conference Proceeding
  12. 12

    A Bayesian Algorithm for GNSS Time-Delay Estimation Using an Uncalibrated Array by Araujo, Daniel C., Sousa, Diego A., Antreich, Felix

    “…This paper introduces a Bayesian algorithm designed for precise estimation of the propagation time delay in global navigation satellite systems (GNSS) signals,…”
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    Conference Proceeding
  13. 13

    Tensor-Based compressed estimation of frequency-selective mmWave MIMO channels by Araujo, Daniel C., de Almeida, Andre L. F.

    “…This paper develops a novel channel estimation technique for frequency-selective mmWave MIMO channels using a hybrid analog-digital architecture. By adopting a…”
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    Conference Proceeding
  14. 14

    Improving spectral efficiency in large-array FDD systems with hybrid beamforming by Araujo, Daniel C., Karipidis, Eleftherios, de Almeida, Andre L. F., Mota, Joao C. M.

    “…We investigate the spectral efficiency of large-array systems serving a single-antenna user in cellular frequencies, using full digital or hybrid…”
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    Conference Proceeding
  15. 15

    Joint data and connection topology recovery in collaborative wireless sensor networks by de Almeida, Andre L. F., Kibangou, Alain Y., Miron, Sebastian, Araujo, Daniel C.

    “…This work considers a collaborative wireless sensor network where nodes locally exchange coded informative data before transmitting the combined data towards a…”
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    Conference Proceeding
  16. 16

    Channel estimation for millimeter-wave Very-Large MIMO systems by Araujo, Daniel C., de Almeida, Andre L. F., Axnas, Johan, Mota, Joao C. M.

    “…We present an efficient pilot-assisted technique for downlink channel estimation in Very Large MIMO (VL-MIMO) systems operating in a 60 GHz indoor channel. Our…”
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    Conference Proceeding
  17. 17

    Hybrid MIMO schemes with MRT precoding and modified SIC receiver by Caldas, Francisco M. C., Araujo, Daniel C., Freitas, Walter C.

    “…In the last few years, the researches in wireless mobile communication systems have focused on to provide optimization and efficient use of radio resources in…”
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    Conference Proceeding
  18. 18

    Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks by Mota, Mateus P, Araujo, Daniel C, Neto, Francisco Hugo Costa, de Almeida, Andre L. F, Cavalcanti, F. Rodrigo P

    Published 25-11-2019
    “…We design a self-exploratory reinforcement learning (RL) framework, based on the Q-learning algorithm, that enables the base station (BS) to choose a suitable…”
    Get full text
    Journal Article
  19. 19

    A Low Complexity Solution for Resource Allocation and SDMA Grouping in Massive MIMO Systems by Mauricio, Weskley V. F., Araujo, Daniel C., Hugo Neto, F.C., Rafael Lima, F.M., Maciel, Tarcisio F.

    “…This work investigates the space-division multiple access grouping problem in multiuser massive multiple input multiple output (MIMO). The adopted approach…”
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    Conference Proceeding
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