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On the feasibility of remote driving application over dense 5G roadside networks
dc.contributor.author | Saeed, Umar |
dc.contributor.author | Hämäläinen, Jyri |
dc.contributor.author | García Lozano, Mario |
dc.contributor.author | González González, David |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2020-04-27T10:51:15Z |
dc.date.available | 2020-04-27T10:51:15Z |
dc.date.issued | 2019 |
dc.identifier.citation | Saeed, U. [et al.]. On the feasibility of remote driving application over dense 5G roadside networks. A: International Symposium of Wireless Communication Systems. "ISWCS 2019: 16th International Symposium on Wireless Communication Systems : 27-30 August 2019, Oulu". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 271-276. |
dc.identifier.isbn | 9781728125282 |
dc.identifier.uri | http://hdl.handle.net/2117/185240 |
dc.description.abstract | Remote driving (RD) is a critical backup option for an autonomous vehicle when it faces an unexpected situation on the road. Fifth generation (5G) mobile communication is a key enabler of RD providing link between the remote operator and the vehicle. There are stringent requirements in terms of coverage, data rate and latency for RD application. In this paper, a feasibility study at the radio access network level for the radio coverage conditions that are required for RD application is carried out. The study considers RD over three carriers including 2.6 GHz, 5 GHz and 28GHz. A ray tracing software is used for the channel pathloss computation. The RD provision in terms of coverage and rate statistics is analysed for these frequency carriers. The role of interference is also investigated. The statistics is aggregated using a large number of realistic vehicular routes created using Google Maps APIs. It is shown that the provision of RD can not be guaranteed over a wide network area especially in high-load/high-interference conditions and it is more feasible to define the RD application for specific roads. |
dc.description.sponsorship | This work was supported by Academy of Finland (under grants 311752 and 287249). Work by Mario Garcia-Lozano was funded by the Spanish ministry of science through the project RTI2018-099880-B-C32, with ERFD funds. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Mobile communication systems |
dc.subject.lcsh | Digital communications |
dc.subject.other | Interference |
dc.subject.other | Signal to noise ratio |
dc.subject.other | 5G mobile communication |
dc.subject.other | Roads |
dc.subject.other | Gain |
dc.subject.other | Computational modeling |
dc.title | On the feasibility of remote driving application over dense 5G roadside networks |
dc.type | Conference report |
dc.subject.lemac | Comunicacions mòbils, Sistemes de |
dc.subject.lemac | Comunicacions digitals |
dc.contributor.group | Universitat Politècnica de Catalunya. WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils |
dc.identifier.doi | 10.1109/ISWCS.2019.8877213 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/8877213 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 25941028 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099880-B-C32/ES/ROBOTICA EN LA NUBE Y EL IMPACTO DE LAS REDES 5G EN LA FABRICA DEL FUTURO. SUBPROYECTO UPC./ |
dc.date.lift | 10000-01-01 |
local.citation.author | Saeed, U.; Hämäläinen, J.; Garcia-Lozano, M.; González G., D. |
local.citation.contributor | International Symposium of Wireless Communication Systems |
local.citation.publicationName | ISWCS 2019: 16th International Symposium on Wireless Communication Systems : 27-30 August 2019, Oulu |
local.citation.startingPage | 271 |
local.citation.endingPage | 276 |