Search Results - "Alencar, Marcelo S"

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  1. 1

    Energy and Spectral Efficiencies of Cell-Free Millimeter-Wave Massive MIMO Systems Under Rain Attenuation Based on Ray Tracing Simulations by Da Silva, Higo Thaian P., Silva, Hugerles S., Alencar, Marcelo S., De Queiroz, Wamberto J. L., Dias, Ugo Silva

    Published in IEEE access (2023)
    “…Future wireless communication systems depend on the network's ultra-densification, on the application of massive multiple-input multiple-output (mMIMO)…”
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    Journal Article
  2. 2

    On the Adaptive Modulation for User-Centric Cell-Free Massive MIMO Systems by Almeida, Danilo B. T., Alencar, Marcelo S., Duarte, Rafael M., Silva, Hugerles S., Madeiro, Francisco, Lopes, Waslon T. A., Queiroz, Wamberto J. L.

    Published in IEEE access (01-01-2024)
    “…The cell-free (CF) systems are a key technology for future wireless networks, which exploit the scenario spatial macro-diversity to offer high channel capacity…”
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    Journal Article
  3. 3

    Evaluation of Cell-Free Millimeter-Wave Massive MIMO Systems Based on Site-Specific Ray Tracing Simulations by Higo Thaian da Silva, P., Duarte, Rafael M., Silva, Hugerles S., Alencar, Marcelo S., De Queiroz, Wamberto J. L.

    Published in IEEE access (2022)
    “…Ultra densification of the number of antennas combined with the use of large bandwidths in the millimeter wave (mmWave) spectrum is considered one of the main…”
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    Journal Article
  4. 4

    On the Performance of Location Management in 5G Network Using RRC Inactive State by Oliveira, Lidiano A. N., Alencar, Marcelo S., Lopes, Waslon T. A., Madeiro, Francisco

    Published in IEEE access (2022)
    “…Among the characteristics in fifth generation (5G) networks, a massive number of devices and a network densification stand out. Hence, efficient location…”
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    Journal Article
  5. 5

    Effect of Epidemic Interference on the Performance of M-ASK, M-PSK and M-QAM Modulation Schemes by Cordeiro Jr, Joel E., Alencar, Marcelo S., Yashina, Marina V., Tatashev, Alexander G.

    “…This article presents a study on the performance of different digital modulation systems in the presence of epidemic interference. This type of interference is…”
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    Journal Article Paper
  6. 6

    Channel assignment in TSCH-based wireless sensor networks using fuzzy logic by Queiroz, Diego V., Gomes, Ruan D., Fonseca, Iguatemi E., Alencar, Marcelo S., Benavente-Peces, Cesar

    “…Recent advances in wireless sensor networks, especially in industry (IWSN), have brought important improvements to deploy a sensor network in such…”
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    Journal Article
  7. 7

    An Alternative Method to Compute the Bit Error Probability of Modulation Schemes Subject to Nakagami-m Fading by Queiroz, Wamberto J L, Lopes, Waslon T A, Madeiro, Francisco, Alencar, Marcelo S

    “…This paper presents an alternative method for determining exact expressions for the bit error probability (BEP) of modulation schemes subject to Nakagami-m…”
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    Journal Article
  8. 8

    Bit error probability of the M-QAM scheme subject to multilevel (double) gated additive white Gaussian noise and Nakagami-m fading by Silva, Hugerles S., Alencar, Marcelo S., Queiroz, Wamberto J. L., Almeida, Danilo B. T., Madeiro, Francisco

    Published in Wireless networks (01-10-2019)
    “…In this paper, noise models called multilevel gated additive white Gaussian noise (GAWGN) and multilevel double gated additive white Gaussian noise ( G 2 AWGN)…”
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    Journal Article
  9. 9

    SEP of the M-ary θ-QAM signals under η-μ fading and AWGN noise in a communication system using spatial diversity by Silva, Hugerles S., Almeida, Danilo B. T., Queiroz, Wamberto J. L., Madeiro, Francisco, Fonseca, Iguatemi E., de Alencar, Marcelo S.

    Published in Wireless networks (01-08-2020)
    “…In this paper, an upper bound on the symbol error probability (SEP) of the M -ary θ -quadrature amplitude modulation scheme, in a channel subject to additive…”
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    Journal Article
  10. 10

    Bit error probability of the M‐QAM scheme under η‐μ fading and impulsive noise in a communication system using spatial diversity by Silva, Hugerles S., Alencar, Marcelo S., Queiroz, Wamberto J. L., Almeida, Danilo B. T., Madeiro, Francisco

    “…Summary This paper presents a new and exact expression for the bit error probability (BEP) of the square M‐ary quadrature amplitude modulation (M‐QAM) scheme,…”
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    Journal Article
  11. 11

    On the performance of M-QAM for Nakagami channels subject to gated noise by Queiroz, Wamberto J. L., Madeiro, Francisco, Lopes, Waslon T. A., Alencar, Marcelo S.

    Published in Telecommunication systems (01-05-2018)
    “…This paper presents a mathematical analysis of the joint effects of additive white Gaussian noise and gated noise in an M -ary Quadrature Amplitude Modulation…”
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    Journal Article
  12. 12

    New closed-form expressions for SNR estimates of Nakagami fading channels by the method of moments by Queiroz, Wamberto J. L., Almeida, Danilo B. T., Madeiro, Francisco, de M. Cardoso, José V., Pereira, Damião F. L., Alencar, Marcelo S.

    Published in Telecommunication systems (01-11-2018)
    “…Method of moments has been a parameter estimation technique appropriate to calculate signal-to-noise ratio (SNR) estimates in fading channel models in which an…”
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    Journal Article
  13. 13

    Performance analysis of generalized QAM modulation under η−μ and κ−μ fading by Queiroz, Wamberto J. L., Madeiro, Francisco, Lopes, Waslon T. A., Alencar, Marcelo S.

    “…This paper presents new closed-form expressions for the symbol error probability (SEP) of θ -QAM modulation with maximum ratio combining (MRC) receiver under η…”
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    Journal Article
  14. 14

    Traffic Congestion in Social Networks Caused by Epidemic Interference by Alencar, Marcelo S.

    “…This article presents a mathematical model for the traffic congestion caused by the interference due to a sudden increase in the number of users that access a…”
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    Conference Proceeding
  15. 15

    Performance of the modulation diversity technique for κ-μ fading channels by Lopes, Rafael F, L Queiroz, Wamberto J, A Lopes, Waslon T, Alencar, Marcelo S

    “…The performance of wireless communication systems can be significantly improved using the modulation diversity technique, which is based on the combination of…”
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    Journal Article
  16. 16

    Spatial Correlation for DoA Characterization Using Von Mises, Cosine, and Gaussian Distributions by Queiroz, Wamberto J. L., Madeiro, Francisco, Lopes, Waslon Terllizzie A., Alencar, Marcelo Sampaio de

    “…This paper presents mathematical expressions for the spatial correlation between elements of linear and circular antenna arrays, considering cosine, Gaussian,…”
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    Journal Article
  17. 17

    Characterization of Large-Scale Parameters in Indoor THz Channels Applying the Ray Tracing Method by da Silva, Higo Thaian P., Silva, Hugerles S., Alencar, Marcelo S., Queiroz, Wamberto J. L., Dias, Ugo S.

    “…Due to the large available bandwidth, the communications in the terahertz band (0.1 THz − 10 THz) is one of the key techniques to meet the Tbit/s rate…”
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    Conference Proceeding
  18. 18

    Stochastic Estimation of On-Time Message Delivery in a Packet-Switched Network with Messages of Different Priorities by Alencar, Marcelo S., Tatashev, A. G., Yashina, M. V.

    “…We have developed an approach to estimate the message delivery time distribution for a packet-switched network with different priority classes of messages…”
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    Conference Proceeding
  19. 19

    Survey and systematic mapping of industrial Wireless Sensor Networks by Queiroz, Diego V., Alencar, Marcelo S., Gomes, Ruan D., Fonseca, Iguatemi E., Benavente-Peces, Cesar

    “…The Wireless Sensor Network (WSN) is an infrastructure comprised of sensing, computing, and communication devices, that obtain and process data to help…”
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    Journal Article
  20. 20

    Real-time link quality estimation for industrial wireless sensor networks using dedicated nodes by Gomes, Ruan D., Queiroz, Diego V., Lima Filho, Abel C., Fonseca, Iguatemi E., Alencar, Marcelo S.

    Published in Ad hoc networks (01-05-2017)
    “…Adaptive mechanisms, such as dynamic channel allocation or adaptive routing, are used to deal with the variations in the link quality of Wireless Sensor…”
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    Journal Article