Transcription of MetaSensing: Reconfigurable Intelligent Surface Assisted ...
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metasensing : Reconfigurable Intelligent Surface Assisted RF sensing and Localization !"#$%!"#$%&'!"#$%&'"(&)*+),-".&%/.$-)$(0 )1*'#2&"%),(3/(""%/(34(/5"%6/&7)*+)8*26& *(9)8*26 9)4<=>&&#?@@ BoyaoDi, Hongliang Zhang, LingyangSong, JingzhiHu, HaoboZhangTable of Contents! Background 6G Communications and Requirements RIS Basics and Potential Applications RIS-aided RF sensing and Localization Case 1: Posture Recognition Case 2: RF 3D Shape sensing Case 3: Ubiquitous Localization Potential Future Directions ConclusionsMoving Towards 6G: Emerging Use Cases"VR/ARInternet-of-ThingsAR for surgeryVR for educationAuto-manufacturingE-healthIntel ligenceEnvironment sensingSmart home#General 6G KPI TargetsGreatersensing capabilityHigher positioning accuracy5 GmMTCURLLCeMBB6 GEnergy efficiencyConnectivitySensing accuracyPeak data rateLatencySecurityConflict between simplicity (comfort) and high sensing accuracy$mmWaveRadar6G Challenges.
Conflict between simplicity (comfort) and high sensing accuracy $ mmWaveRadar 6G Challenges: Sensing Efficiency •WiFibased RF Sensing • Requires the cooperation of multiple WiFiaccess points to achieve high sensing accuracy •mmWaveRadar •High hardware cost makes it hard for mass deployment WiFibased RF Sensing Radar
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