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pro vyhledávání: '"Lizeth Lopez-Lopez"'
Autor:
Lizeth Lopez-Lopez, Marco Cardenas-Juarez, Enrique Stevens-Navarro, Ulises Pineda-Rico, Armando Arce, Aldo G. Orozco-Lugo
Publikováno v:
Sensors, Vol 19, Iss 11, p 2425 (2019)
This paper presents an approach to exploit the superimposed training (ST)-based primary users’ (PUs) transmissions in the context of spectrum sensing for cognitive radio. In the low signal-to-noise ratio (SNR), the proposed scheme splits the spectr
Externí odkaz:
https://doaj.org/article/a7451606e7fe415581ca4215d9d9db56
Publikováno v:
2022 IEEE Future Networks World Forum (FNWF).
Publikováno v:
2022 IEEE Mexican International Conference on Computer Science (ENC).
Autor:
Marcos Katz, Marco Cardenas-Juarez, Enrique Stevens-Navarro, Sami Aldalahmeh, Lizeth Lopez-Lopez
Publikováno v:
CCE
The efficient utilization of the radio-electric spectrum (or simply spectrum) is essential to satisfy the ever- increasing amount of bandwidth required by future wireless communications networks. Cognitive radio (CR) networks aim to improve this effi
Autor:
Marco Cardenas-Juarez, Armando Arce, Lizeth Lopez-Lopez, Aldo G. Orozco-Lugo, Ulises Pineda-Rico, Enrique Stevens-Navarro
Publikováno v:
Sensors, Vol 19, Iss 11, p 2425 (2019)
Sensors
Volume 19
Issue 11
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 11
Sensors (Basel, Switzerland)
This paper presents an approach to exploit the superimposed training (ST)-based primary users&rsquo
(PUs) transmissions in the context of spectrum sensing for cognitive radio. In the low signal-to-noise ratio (SNR), the proposed scheme splits th
(PUs) transmissions in the context of spectrum sensing for cognitive radio. In the low signal-to-noise ratio (SNR), the proposed scheme splits th
Autor:
Ramiro Samano-Robles, Rafael Aguilar-Gonzalez, Lizeth Lopez-Lopez, Marco Cardenas-Juarez, A. Garcia-Barrientos, Enrique Stevens-Navarro
Publikováno v:
CONIELECOMP
Superimposed training (ST) technique can be used at primary users' transmitters to improve parameter estimation tasks (e.g. channel estimation) at primary users' receivers. Since ST adds the training sequence to the data sequence the total available
Autor:
Marco Cardenas-Juarez, Enrique Stevens-Navarro, Lizeth Lopez-Lopez, Aldo G. Orozco-Lugo, Ulises Pineda-Rico
Publikováno v:
CCE
The spectrum sensing function allows a cognitive radio to determine the absence/presence of primary users' (PUs) signals in a frequency band of interest. These signals might exhibit very low-power at cognitive (or secondary) users' receivers. Thus re