Listar Artículos de revista DEIM - EIMS Aldizkari artikuluak por autor "Shubair, Raed M."
Mostrando ítems 1-4 de 4
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Diffuse-scattering-informed geometric channel modeling for THz wireless communications systems
Azpilicueta Fernández de las Heras, Leyre
; Schultze, Alper; Celaya Echarri, Mikel ; Rodríguez Corbo, Fidel Alejandro; Constantinou, Costas; Shubair, Raed M.; Falcone Lanas, Francisco ; Navarro Cía, Miguel (IEEE, 2023)
Artículo / Artikulua 
Surpassing 100 Gbps data throughput is a key objective and an active area of research for sixth-generation (6G) wireless networks that can only be met by exploiting the TeraHertz (THz) frequency band (0.3 - 10 THz). THz ... -
An enhanced approach to virtually increase quasi-stationarity regions within geometric channel models for vehicular communications
Rodríguez Corbo, Fidel Alejandro; Celaya Echarri, Mikel ; Shubair, Raed M.; Falcone Lanas, Francisco Javier ; Azpilicueta Fernández de las Heras, Leyre (IEEE, 2023)
Artículo / Artikulua
Vehicular communication channels are intrinsically non-stationary, as they present high mobility and abundant dynamic scatterers. Quasi-stationary regions can assess the degree of non-stationarity within a determined ... -
MmWave channel stationarity analysis of V2X communications in an urban environment
Rodríguez Corbo, Fidel Alejandro; Azpilicueta Fernández de las Heras, Leyre ; Celaya Echarri, Mikel ; Shubair, Raed M.; Falcone Lanas, Francisco Javier (IEEE, 2023)
Artículo / Artikulua
Vehicular communication channels are subject to high nonstationarity mainly characterized by the scatterers’ and/or transceivers’ high mobility. In this sense, this letter presents a characterization of the channel ... -
Tuning selection impact on kriging-aided in-building path loss modeling
Diago Mosquera, Melissa; Aragón Zavala, Alejandro; Rodríguez Corbo, Fidel Alejandro; Celaya Echarri, Mikel ; Shubair, Raed M.; Azpilicueta Fernández de las Heras, Leyre (IEEE, 2022)
Artículo / Artikulua
How do you know you select enough tuning dataset from measurements to guarantee model prediction accuracy? Tuning datasets are often selected based on simple random sampling with predefined rates. Usually, these rates ...
