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On the nineteenth Huawei International Analyst Summit (HAS 2022) hung on Tuesday, main Chinese language telecommunications company Huawei launched the trade’s first business-used resolution relating to 5G indoor positioning.
This generation solves many engineering issues equivalent to tough positioning underneath complicated situations and the rise of beacons. The location presented by way of this resolution is correct to 1-3 meters at 90%, whilst supporting open same old interface for trade programs. This resolution permits enterprises to put into effect dependable, protected, and differentiated E2E 5G positioning inside their campuses.
5G positioning used to be offered via 3GPP Liberate 16, with a designed accuracy of three meters at 80% indoors. The President of Huawei’s DIS Product Line, Marvin Chen, stated: “Huawei has verified 5G indoor positioning in lots of industries, like production, warehousing, and transportation. The verification confirmed that the site accuracy reached 1-3 meters at 90% in line of sight (LOS) indoors. Exceeding the 3GPP necessities, this type of prime stage of positioning accuracy permits maximum enterprise programs to adequately find workforce, apparatus, and fabrics. The corporate is now operating to extend the accuracy to inside 1 meter to satisfy complicated 3GPP necessities.”
Huawei’s 5G indoor positioning resolution contains wi-fi LampSite Undertaking Version (EE) and on-premises Location Carrier (LCS) modules. It helps LCS open same old interface for third-party positioning platforms and programs that want location services and products.
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This resolution supplies 3 positioning applied sciences together with “uplink time distinction of arrival” (UTDOA), wi-fi fingerprint and box power to verify indoor positioning can also be carried out in each LOS and non-light-of-sight (NLOS) environments.
Huawei has learned automated fingerprint library technology and UTDOA-needed beacon-free correction of sign arrival time variations by way of the use of “radio simultaneous localization and mapping” (Radio SLAM) and AI-based giant knowledge clustering iteration algorithms. Subsequently, those two promotional issues, together with the selection of fingerprints and beacon placement, can also be settled.