Propagation models in vehicular communications
| Autor: | Fidel Alejandro Rodríguez-Corbo, Francisco Falcone, Ana Vazquez Alejos, Mikel Celaya-Echarri, Leyre Azpilicueta |
|---|---|
| Přispěvatelé: | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities, Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación, Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Saila |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
mmWave
General Computer Science Computer science Reliability (computer networking) MmWave Context (language use) 3327 Tecnología de Los Sistemas de Transporte 02 engineering and technology Radio spectrum Channel modeling 0203 mechanical engineering propagation 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless General Materials Science Propagation business.industry Bandwidth (signal processing) General Engineering Physical layer 020302 automobile design & engineering 020206 networking & telecommunications Radio propagation Vehicular communications channel modeling 3325 Tecnología de las Telecomunicaciones lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 Communication channel |
| Zdroj: | IEEE Access, Vol 9, Pp 15902-15913 (2021) Academica-e: Repositorio Institucional de la Universidad Pública de Navarra Universidad Pública de Navarra Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname Investigo. Repositorio Institucional de la Universidade de Vigo Universidade de Vigo (UVigo) |
| Popis: | In the advent of becoming reality, the era of autonomous vehicles is closer than ever, and with it, the need for faster and reliable wireless connections. The propagation channel determines the performance limits of wireless communications, and with the aid of empirical measurements, channel modeling is the best approach to predict and recreate how signal propagation conditions may perform. To this end, many different approaches and techniques have been implemented, from specific applications to general models, considering the characteristics of the environment (geometry-based or non-geometry-based) as well as seeking high performance algorithms in order to achieve good balance between accuracy and computational cost. This paper provides an updated overview of propagation channel models for vehicular communications, beginning with some specific propagation characteristics of these complex heterogeneous environments in terms of diverse communication scenarios, different combinations of link types, antenna placement/diversity, potentially high Doppler shifts, or non-stationarity, among others. The presented channel models are classified in four categories: empirical, non-geometry-based stochastic, geometry-based stochastic, and deterministic models, following the classical approach. The features and key concepts of the different vehicular communications channel models are presented, from sub 6 GHz to millimeter wave (mmWave) frequency bands. The advantages and disadvantages of the main works in the area are discussed and compared in a comprehensive way, outlining their contributions. Finally, future critical challenges and research directions for modeling reliable vehicular communications are introduced, such as the effects of vegetation, pedestrians, common scatterers, micro-mobility or spherical wavefront, which in the context of the near future are presented as research opportunities. This work was supported in part by the School of Engineering and Sciences, Tecnológico de Monterrey, and in part by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER,UE), under Grant RTI2018-095499-B-C31 and Grant TEC2017-85529-C03-3R. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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