NetWhere Active

GMLC and SMLC for E-911

NetWhere Active consists of 3GPP compliant GMLC and  SMLC for different generations of RAT - from 3G to 5G


Also known as Location Management Function (LMF), an SMLC  hosts different positioning engines - from Enhanced Cell ID to ODTOA to AoA techniques. 


In addition to E-911 and Law Enforcement Applications, NetWhere Active is a powerful complement to NetWhere ST passive location when fine-grain positioning and precise tracking are required. 


To minimize the usage of network resources, NetWhere ST orchestrates the logic of passive-active positioning, including "multiple-shots" and the use of criteria such as current trajectory and other user-defined business rules. 


To interface with applications, NetWhere Active supports MLP 3.2 and MLP3.3.   NetWhere Active supports Network Induced Location Request (NI-LR).  As soon as an emergency call is received, the caller's location will instantly appear on the screen of the call-answering agent.


NetWhere Active for 5G's Location Management Function (LMF)  supports the following RAT-based Enhanced Cell ID (E-CID) techniques:  


•Round Trip Time (RTT) 

•Received reference signal power-based techniques 

•Carrier-phase based techniques 

•Angle based techniques such as Angle of Departure and Arrival (AoD/AoA)

•Timing based technique - Observed Time Difference of Arrival (OTDoA) 


To improve positioning accuracy, our LMF supports hybrid techniques by combining the RAT-based method and the use of additional soft information as well.


Conventional active positioning usually returns a single-value estimate. Single-shot reporting will result in inaccurate positioning when the wireless environment is harsh.  For example,  in areas where multipath, shadowing, and NLOS conditions can impair measurements. NetWhere Active supports continuous positioning updates during an emergency call.  


Our AI model fuses RAT-only based positioning, radio and timing parameters, relevant map information, and motion information of the device and outputs a more accurate positioning than a single-shot report that uses RAT-only methods. 









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