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# MEC030 - V2X Information Service
> _under development_

This section describes how MEC030, V2X Information Service operates within the MEC Sandbox.

## MEC 030 v2.1.1 (published, available on forge)

References:
* https://www.etsi.org/deliver/etsi_gs/MEC/001_099/030/02.01.01_60/gs_MEC030v020101p.pdf 
* https://forge.etsi.org/rep/mec/gs030-vis-api 
* https://forge.etsi.org/swagger/ui/?url=https://forge.etsi.org/rep/mec/gs030-vis-api/raw/v2.1.1/MEC030_V2XInformationService.yaml

Notes:
* In the v2.1.1 published MEC030 specification, the referenced data type, LinkType, is missing from the GS.
* However, MEC 030 has an on-going WI for maintenace targeting for v2.2.1.  This specificaiton is expected to be baselined this WI's latest draft.  

### Query Endpoints
| Endpoint     | Sandbox Usage             |Notes                |
| ------------ | ------------------------- | ------------------- |
| /queries/provide_predicted_qos <br><br>This resource is queried to provide predicted QoS of a vehicular UE based on potential route information. Each UE may have different potential routes under consideration. Route information includes route origin and destination; intermediate waypoints may also be provided. Estimated journey start time and arrival time at each location may also be provided. | Input is a set of potential routes that a vehicle may consider for a journey. <br><br> Note: potential routes having the same origin and destination, journey start time and differing intermediate waypoints may be considered as alternatives of a specific journey. <br><br> Output is the predicted QoS, in the form of Reference Signal Received Power (RSRP) and/or Reference Signal Received Quality (RSRQ), as defined in ETSI TS 136 214. | As a Sandbox user, I can use this call to receive predictions of the radio signal conditions expected to be experienced during journey time for different potential routes I may consider (for the same trip or for different planned trips). <br><br> The Link Performance Prediction (LPP) to be integrated as it plays the role of a Prediction Function (PF) which receives route information (route locations, optionally with visiting time information) as input and provides predicted RSRP and RSRQ values for each location of the communicated potential route as output.  |