Search

EP-3883284-B1 - A METHOD, A COMPUTER PROGRAM, AN APPARATUS, AND A VEHICLE FOR GENERATING A QUALITY OF SERVICE MAP

EP3883284B1EP 3883284 B1EP3883284 B1EP 3883284B1EP-3883284-B1

Inventors

  • GUILLAUME, Jornod
  • JACOB, RICHARD

Dates

Publication Date
20260506
Application Date
20200318

Claims (14)

  1. A method (10) for generating a quality of service, QoS, map, the QoS map comprising information related to a predicted QoS for a radio link at different locations of a first mobile transceiver (200), the radio link being between the first mobile transceiver (200) and a second mobile transceiver (210) in a radio environment, the method (10) being performed by an apparatus and being characterized by comprising determining (12) information related to a density of mobile transceivers in an area surrounding the first mobile transceiver (200), information related to an availability of different radio access technologies, RATs, in the area surrounding the first mobile transceiver (200), and information related to a distance between the first and the second mobile transceivers (200; 210); obtaining (14) information related to a QoS of the radio link for the different RATs; determining (16) a relationship between the information related to the density, the information related to the distance, and the information related to the QoS of the radio link for the different RATs, wherein the determining (16) of the relationship comprises modelling the relationship between the information related to the density, the information related to the distance, and the information related to the QoS of the radio link for the different RATs using statistical models or machine learning; and storing (18) information related to the relationship for the different locations of the first mobile transceiver (200) to obtain the QoS map.
  2. The method (10) of claim 1, wherein the statistical models or the machine learning use at least one element of the group of a generalized linear regression, a general additive model, a multi-layer perceptron regression, and a Gaussian mixture.
  3. The method (10) of one of the preceding claims, further comprising determining the relationship based on a location of the second mobile transceiver (210) and storing the relationship for different combinations of locations of the first and second mobile transceivers (200; 210).
  4. The method (10) of one of the preceding claims, further comprising predicting a QoS for a radio link between the first and second mobile transceivers (200; 210).
  5. The method (10) of one of the preceding claims, further comprising receiving a request for predicting a QoS for a service from a requesting mobile transceiver.
  6. The method (10) of claim 5, further comprising evaluating a RAT or a RAT combination for the service, predicting a QoS for the RAT or the RAT combination based on the QoS map, and providing information related to the RAT or the RAT combination and the predicted QoS to the requesting mobile transceiver.
  7. The method (10) of one of the preceding claims, wherein the area surrounding the first mobile transceiver (200) corresponds to a geographical region.
  8. The method (10) of one of the preceding claims, further comprising determining the relationship for multiple different areas.
  9. The method (10) of one of the preceding claims, wherein the first and second mobile transceivers (200; 210) are vehicles.
  10. The method (10) of claim 9, wherein the information related to the density of mobile transceivers in the area surrounding the first mobile transceiver (200) comprises information related to a density of surrounding vehicles in a cell model.
  11. The method (10) of one of the preceding claims, wherein the information related to the availability of the different RATs in the area surrounding the first mobile transceiver (200) comprises information related to a penetration rate of RATs in a geographical region.
  12. A computer program having a program code which, when executed on a computer, a processor, or a programmable hardware component within an apparatus, causes said apparatus to perform the method steps of any of claims 1 to 11.
  13. An apparatus (20) for generating a quality of service, QoS, map, the QoS map comprising information related to a predicted QoS for a radio link at different locations of a first mobile transceiver, the radio link being between the first mobile transceiver (200) and a second mobile transceiver (210) in a radio environment, the apparatus (20) comprising one or more interfaces (22) for communicating in the radio environment; and a control module (24) configured to carry out one of the methods of claims 1 to 11.
  14. A vehicle (200; 210) comprising the apparatus (20) of claim 13.

Description

The present invention relates to a method, a computer program, an apparatus, and a vehicle for generating a quality of service, QoS, map, more specifically, but not exclusively, to a concept for efficiently predicting QoS for direct communication between users of a radio environment. In the scope of cooperative driving, prediction of a future quality of service (QoS) may enable inter-vehicular application/communication when the QoS conditions vary in the radio environment. When no predictive QoS (pQoS) is provided an application can only react to variations and is therefore limited to lower bound performances of the communication system. PQoS systems may rely on the vehicles/communication nodes with radio access technologies (RATs) such as LTE-V (Long Term Evolution-Vehicular) or 5G-V2X (5th Generation-Vehicle-to-Everything) in their standalone modes, or IEEE 802.11p (Institute of Electrical and Electronics Engineers). Combinations of these technologies can also be applied in multi-RAT systems. In such pQoS systems, vehicles can exchange information about the surrounding communication environment in order to provide pQoS. Document US 2019/0174547 A1 discloses systems and methods of providing RAT co-existence and congestion control in V2V (vehicle-to-vehicle) communications. A vUE (vehicular user equipment) detects specific non-LTE (Long Term Evolution) RAT transmissions in a listening period of a PSCCH or PSSCH (Physical Sidelink Control Channel or Physical Sidelink Shared Channel), determines whether a metric has been met and reselects to a non-overloaded channel to communicate with other vUEs or the eNB. The manner of reselection is dependent on the RAT specific or V2X service priorities of the channels, as well as whether the channels are V2V service dependent. Document WO 2019/006085 A1 describes systems, devices, and techniques for vehicle-to-anything-communications (V2X) using RATs. A communication associated with one or more of the multiple RATs may be received at a device. The device may include a transceiver interface with multiple connections to communicate with multiple transceiver chains. The multiple transceiver chains can be configured to support multiple RATs. Additionally, the multiple transceiver chains may be controlled via the multiple connections of the transceiver interface to coordinate the multiple RATs to complete the communication. Document US 2020/0077278 A1 discloses a method for predicting a quality of service for a communication between at least two moving communication partners, wherein the prediction is based on at least one link-based quality of service map that is updated in a link-based QoS map generation process. Since classical radio maps are node-based, the classical radio maps are not appropriate for estimating an end-to-end latency for the communication link. The end-to-end latency is needed when determining whether safety critical messages are to be exchanged over this communication link. Document EP 3 614 770 A1 relates to a vehicle, apparatuses, methods, and computer programs for a mobile transceiver and a managing mobile transceiver assigning radio resources. The method for a managing mobile transceiver, assigning radio resources to one or more other mobile transceivers in a group of mobile transceivers in a communication environment having two or more radio access technologies available, comprises obtaining information on desired services and desired qualities of service from the mobile transceivers in the group of mobile transceivers. The method further comprises obtaining information on a quality of service available in the two or more radio access technologies. The method further comprises allocating radio resources of at least one of the two or more radio access technologies to the mobile transceivers of the group of mobile transceivers based on the information on the desired services and desired qualities of service and based on the information on the quality of service available. Document US 2019/0222491 A1 describes an optimization platform system, which includes a network interface configured to communicate with a plurality user devices and a plurality of servers in a network; a processor communicatively coupled to the network interface; and memory storing instructions that, when executed, cause the processor to obtain network measurements including Quality of Service (QoS) measurements and one of measured Quality of Experience (QoE) measurements and inferred QoE measurements from the QoS measurements for one or more streams in the network. Each of the one or more streams has a type selected from a group consisting of a video stream, a Voice over Internet Protocol (VoIP) call, a gaming stream, and an Augmented Reality (AR)/Virtual Reality (VR) stream. The QoE measurements and the inferred QoE measurements of each of the one or more streams is based on the type of the respective stream, analyze the QoE measurements to determine poor QoE in the network, dete