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Outage Probability of V2V Multiple-Antenna Rice Fading Links with Explicit Ground Reflection
Indexado
WoS WOS:000922633502114
Scopus SCOPUS_ID:85146917207
DOI 10.1109/GLOBECOM48099.2022.10001431
Año 2022
Tipo proceedings paper

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



This paper investigates the outage probability of a vehicle-to-vehicle (V2V) multiple antenna communication link with respect to the density of antennas. The objective is to study the trade-off between complexity (number of antennas) and link performance considering explicit ground reflections. The antennas are assumed to be located at regularly distributed positions across the surface of contiguous vehicles. Under the assumption of symbol repetition across Tx antennas, we also focus on well-known mechanisms such as maximum-ratio and equal-gain combining (MRC and EGC, respectively). The objective is to minimize the outage probability of the V2V link with deterministic and stochastic channel components (i.e., Rice-distributed), where the line-of-sight (LOS) is affected by ground reflections (as an extension of the two-ray model). This scenario is more realistic for V2V applications due to the proximity of the antennas to the ground. The outage probability is averaged over a range of inter-vehicle distances with respect to the free-space loss solution. The results show that performance is improved even for a relatively small number of antennas, and that a point is reached beyond which improvement becomes differential. This suggests an optimum trade-off between outage probability and complexity can be reached over a range of inter-vehicle distances.

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Disciplinas de Investigación



WOS
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Scopus
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SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Gaitan, Miguel Gutierrez Hombre Universidad Nacional Andrés Bello - Chile
Centro de Investigação em Sistemas Confiáveis e de Tempo-Real - Portugal
Polytech Inst Porto - Portugal
2 Samano-Robles, Ramiro Hombre Centro de Investigação em Sistemas Confiáveis e de Tempo-Real - Portugal
Polytech Inst Porto - Portugal
3 Rodriguez, Jonathan Hombre Prifysgol De Cymru - Reino Unido
Instituto de Telecomunicacoes - Portugal
Univ South Wales - Reino Unido
Inst Telecomunicacoes - Portugal
University of South Wales - Reino Unido
4 IEEE Corporación

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Financiamiento



Fuente
Fundação para a Ciência e a Tecnologia
FCT
European Regional Development Fund
European Social Fund
Horizon 2020 Framework Programme
Programa Operacional Temático Factores de Competitividade
Ministério da Ciência, Tecnologia e Ensino Superior
Agência Nacional de Inovação
Canadian Mennonite University
CISTER
Operational Competitiveness Programme and Internationalization
Electronic Components and Systems for European Leadership
Portuguese National Innovation Agency
ESF (European Social Fund) through the Regional Operational Programme (ROP) Norte 2020
FCT, under the CMU Portugal partnership, through the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Partnership Agreement, through the European Regional Development Fund (ERDF)
Portuguese National Innovation Agency (ANI)
Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Agreement, through the European Regional Development Fund (ERDF)
UKRI MSCA
Horizon Europe research and innovation program
EU ECSEL JU under the H2020 Framework Programme
FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit
UKRI MSCA Doctoral Network guarantee scheme in relation to the European Union's Horizon Europe research and innovation program

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Agradecimientos



Agradecimiento
ACKNOWLEDGMENT This project has received funding from the UKRI MSCA Doctoral Network guarantee scheme in relation to the European Union’s Horizon Europe research and innovation program under grant agreement HE-MSCA-2021-DN-EWOC-101073265; also, by National Funds through FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit (UIDB/04234/2020); by the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Agreement, through the European Regional Development Fund (ERDF), and by national funds through the FCT, within project POCI-01-0145-FEDER032218 (5GSDN); also by the FCT and the EU ECSEL JU under the H2020 Framework Programme, within project ECSEL/0002/2019, JU grant nr. 876038 (InSecTT); also by FCT and the ESF (European Social Fund) through the Regional Operational Programme (ROP) Norte 2020, under PhD grant 2020.06685.BD; also by the Portuguese National Innovation Agency (ANI) and FCT, under the CMU Portugal partnership, through the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Partnership Agreement, through the European Regional Development Fund (ERDF), within project grant nr. 45912 (FLOYD). Disclaimer: The document reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.
This project has received funding from the UKRI MSCA Doctoral Network guarantee scheme in relation to the European Union's Horizon Europe research and innovation program under grant agreement HE-MSCA-2021-DN-EWOC-101073265; also, by National Funds through FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit (UIDB/04234/2020); by the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Agreement, through the European Regional Development Fund (ERDF), and by national funds through the FCT, within project POCI-01-0145-FEDER032218 (5GSDN); also by the FCT and the EU ECSEL JU under the H2020 Framework Programme, within project ECSEL/0002/2019, JU grant nr. 876038 (InSecTT); also by FCT and the ESF (European Social Fund) through the Regional Operational Programme (ROP) Norte 2020, under PhD grant 2020.06685.BD; also by the Portuguese National Innovation Agency (ANI) and FCT, under the CMU Portugal partnership, through the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Partnership Agreement, through the European Regional Development Fund (ERDF), within project grant nr. 45912 (FLOYD). Disclaimer: The document reflects only the author's view and the Commission is not responsible for any use that may be made of the information it contains.

Muestra la fuente de financiamiento declarada en la publicación.