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The Rumble in the Millimeter Wave Jungle: Obstructions Vs RIS
dc.contributor.author | Ramirez, Juan Marcos | |
dc.contributor.author | Mancuso, Vincenzo | |
dc.contributor.author | Ajmone Marsan, Marco | |
dc.date.accessioned | 2024-07-15T13:17:53Z | |
dc.date.available | 2024-07-15T13:17:53Z | |
dc.date.issued | 2024-07-31 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12761/1827 | |
dc.description.abstract | Reconfigurable intelligent surfaces (RISs) have emerged as a key technology for future communication systems. RISs are arrays of tunable reflecting elements that provide controllable propagation channels by smartly shaping incident electromagnetic (EM) waves. Analysis and improvement of RIS-aided systems require the definition of accurate path loss models that consider environmental effects often encountered in practical applications. In this paper, we derive a path loss model for RIS-assisted communications to account for the attenuation induced by the transmission medium and randomly located obstructions. More precisely, this study focuses on assessing the impact caused by Poisson-located obstructing objects on RIS-assisted millimeter wave links. To this end, we evaluate the outage probability yielded by RIS-aided systems in indoor environments with antenna beam-steering and random obstructions. We obtain extensive simulation results to assess the impact of RIS considering different parameters, such as the minimum signal-to-noise ratio (SNR) necessary for successful reception, the operating frequency, the density of the Poisson process used for object placement, and the object size. | es |
dc.description.sponsorship | Ministry of Economic Affairs and Digital Transformation, European Union NextGeneration-EU | es |
dc.language.iso | eng | es |
dc.title | The Rumble in the Millimeter Wave Jungle: Obstructions Vs RIS | es |
dc.type | conference object | es |
dc.conference.date | 10-13 June 2024 | es |
dc.conference.place | Nice, France | es |
dc.conference.title | Mediterranean Communication and Computer Networking Conference | * |
dc.event.type | conference | es |
dc.pres.type | paper | es |
dc.type.hasVersion | AO | es |
dc.rights.accessRights | embargoed access | es |
dc.page.final | 10 | es |
dc.page.initial | 1 | es |
dc.relation.projectID | TSI-063000-2021-38 | es |
dc.relation.projectName | AEON-CPS Network Intelligence for cyber-physical system support | es |
dc.subject.keyword | mmWave links, path loss modeling, outage probability, reconfigurable intelligent surfaces. | es |
dc.description.awards | Mario Gerla Best Paper Award | es |
dc.description.refereed | TRUE | es |
dc.description.status | inpress | es |