Show simple item record

dc.contributor.authorFiandrino, Claudio 
dc.contributor.authorJuarez Martinez-Villanueva, David
dc.contributor.authorWidmer, Joerg 
dc.date.accessioned2023-07-14T09:57:14Z
dc.date.available2023-07-14T09:57:14Z
dc.date.issued2023-09-01
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1725
dc.description.abstractFifth-generation (5G) networks are now in a stable phase in terms of commercial release. 5G design is flexible to support a diverse range of radio bands (i.e., low-, mid-, and high-band) and application requirements. Since its initial roll-out in 2019, extensive measurements studies have revealed key aspects of commercial 5G deployments (e.g., coverage, signal strength, throughput, latency, handover, and power consumption among others) for several scenarios (e.g., pedestrian and car mobility, mid-, and high-bands, etc.). In this paper, we make a twofold contribution. First, we carry out an in-depth measurement study of 5G in a large public bus transit system in a major European city. Second, based on the insights observed with the measurement study, we propose a new target cell selection criteria applicable to Fast Conditional Handover (FCHO), a 3GPP-specific 5G technique to foster reliable mobility. Our results are based on an extensive measurement campaign performed with several mobile phones connected to several mobile network operators totaling more than 1500 km over three months. The measurements reveal how flexible the network deployment is by analyzing Radio Resource Control (RRC) messages, mobility management and the suitability of our FCHO solution, and application performance.es
dc.description.sponsorshipComunidad de Madrides
dc.description.sponsorshipMinisterio de Asuntos Económicos y Transformación Digitales
dc.description.sponsorshipMinisterio de Ciencia e Innovaciónes
dc.language.isoenges
dc.publisherElsevieres
dc.titleA Study on 5G Performance and Fast Conditional Handover for Public Transit Systemses
dc.typejournal articlees
dc.journal.titleComputer Communicationses
dc.rights.accessRightsopen accesses
dc.relation.projectNameTAPIR-CM (Técnicas Avanzadas para Potenciar la Inteligencia de las Redes 5G)es
dc.relation.projectNameRISC-6G (Reconfigurable Intelligent Surfaces and Low-power Technologies for Communication and Sensing in 6G Mobile Networks)es
dc.relation.projectNameIJC2019-039885-Ies
dc.description.refereedTRUEes
dc.description.statuspubes


Files in this item

This item appears in the following Collection(s)

Show simple item record