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dc.contributor.authorGrosheva, Nina 
dc.contributor.authorDeram, Sai Pavan 
dc.contributor.authorLacruz, Jesús Omar 
dc.contributor.authorWidmer, Joerg 
dc.date.accessioned2023-06-08T16:38:52Z
dc.date.available2023-06-08T16:38:52Z
dc.date.issued2023-06
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1706
dc.description.abstractMillimeter-Wave (mmWave) WiFi can provide very low latency and multi-Gbps throughput, but real-world deployments usually do not achieve the theoretically feasible performance. One main source of inefficiency is the contention-based random channel access, as it requires omni-directional reception which limits performance. Additionally, carrier sensing at mmWave frequencies is highly unreliable, leading to reduced channel usage. In this paper, we present SIGNalling in the PHY Preamble (SIGNiPHY) for efficient directional communications, a solution that allows to embed user identity in the preamble of data packets. It allows for true early user identification and then immediately steering the beam towards the transmitter while receiving the physical layer preamble. SIGNiPHY enables directional reception in random access mmWave networks, and additionally helps to quickly filter unwanted packets. It does not affect any preamble functions and is backward-compatible with legacy stations. We implement SIGNiPHY on an FPGA-based mmWave testbed and show that it achieves 99.6% decoding accuracy even under very low SINR conditions. We also implement SIGNiPHY in ns-3 to evaluate large networks and show that it achieves throughput gains between 13% and 230% compared to different baseline schemes, due to the lower packet loss rate and improved spatial sharing.es
dc.description.sponsorshipMinisterio de Asuntos Económicos y Transformación Digitales
dc.description.sponsorshipEuropean Uniones
dc.language.isoenges
dc.titleSIGNiPHY: Reconciling Random Access with Directional Reception for Efficient mmWave WLANses
dc.typeconference objectes
dc.conference.date18-22 June 2023es
dc.conference.placeHelsinki, Finlandes
dc.conference.titleACM SIGMOBILE International Conference on Mobile Systems, Applications and Services*
dc.event.typeconferencees
dc.pres.typepaperes
dc.rights.accessRightsopen accesses
dc.acronymMobisys*
dc.rankB*
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020-MSCA-ITN-2019/861222es
dc.relation.projectNameRISC-6G (Reconfigurable Intelligent Surfaces and Low-power Technologies for Communication and Sensing in 6G Mobile Networks)es
dc.relation.projectNameMAP-6G (Machine Learning-based Privacy Preserving Analytics for 6G Mobile Networks)es
dc.relation.projectNameMINTS (MIllimeter-wave NeTworking and Sensing for Beyond 5G)es
dc.description.refereedTRUEes
dc.description.statuspubes


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