Communication system

Abstract

A communication system is provided with: a roadside device (200) that, when request information indicating a request for predicting communication quality is received from a vehicle (100), transmits the request information, prediction information that is information used for predicting the communication quality, and location information; a V2X application server (500) that provides a service to the vehicle; and a prediction device (700) that, when the request information, the prediction information, and the location information of the roadside device (200) are received, predicts the communication quality of the communication path from the V2X application server (500) to the roadside device (200) on the basis of the prediction information and the location information of the roadside device (200).

Description

Technical Field

[0001] The present disclosure relates to communication systems. Background Art

[0002] As V2X services, remote driving, autonomous driving, and automatic parking are known. QoS (Quality of Service) is predicted to realize V2X services. By notifying the vehicle of the prediction results, the vehicle can perform actions such as stopping, decelerating, and turning the vehicle before the QoS deteriorates. In addition, this notification is also called IQN (In-advance QoS Notification). In addition, this action is also called V2X adaptation.

[0003] For example, the sequence of IQN is described in Chapter 6.4.1 of Non-Patent Document 1. Fig.12 The system for notifying IQN will be described below. Fig.12 The system in the 5G network is shown. The system includes a vehicle 900, an OAM (Operation and Maintenance) 901, a NWDAF (Network Data Analytic Function) 902, a NEF (Network Exposure Function) 903, and a V2X Application Server 904. The V2X Application Server 904 collects information such as the location information of the vehicle 900, the requested QoS, and the QoS threshold when providing the vehicle 900 with the prediction result of the QoS related to the V2X service (step ST901). The V2X Application Server 904 sends an IQN (In-advance QoS Notification) request (step ST902). The NWDAF 902 receives the IQN request via the NEF 903. The QoS is predicted based on the collected information (step ST903). NWDAF 902 sends QoS Sustainability (quality of service sustainability) (prediction result) to V2X Application Server 904 (step ST904). V2X Application Server 904 sends QoS Sustainability to vehicle 900 (step ST905). Thus, V2X adaptation is performed (step ST906).

[0004] In addition, for example, the sequence of IQN is described in Chapter 5 of Non-Patent Document 2. Fig.13 The system for notifying IQN will be described below. Fig.13 The system in the 5G network is shown. The system includes a V2X Application Client 910, a VAE Client 911, an NWDAF / NEF 912, a VAE Server 913, and a V2X Application Server 914. The VAE Server 913 receives QoS Sustainability (step ST911). The VAE Server 913 sends QoS Sustainability to the VAE Client 911 (step ST912). The VAE Client 911 performs signal processing for making QoS Sustainability a state that can be processed in the vehicle (step ST913). The VAE Client 911 sends QoS Sustainability to the V2X Application Client 910 (step ST914). As a result, the V2X Application Client 910 can perform V2X adaptation (step ST915).

[0005] In addition, for example, Chapter 4.9 of Non-Patent Document 3 proposes a MEC (Multi-access Edge Computing) platform. Fig.14 It shows that MEC Application #1 (IQN Analytics) for QoS prediction, MEC Application #2 (V2X App A) for V2X service, and MEC Application #3 (V2X App B) are configured on the MEC host.

[0006] Prior art literature

[0007] Non-patent literature

[0008] Non-patent document 1: 3GPP TS 23.287 V17.3.0, 2022

[0009] Non-patent document 2: 5GAA TR-200055, 2020

[0010] Non-patent document 3: 5GAA TR A-190176, 2019 Summary of the invention

[0011] Problem that the invention aims to solve

[0012] However, a device having NWDAF predicts QoS for countless vehicles, and thus the load on the device becomes high.

[0013] An object of the present disclosure is to reduce the load on a device that predicts QoS.

[0014] Means used to solve problems

[0015] A communication system of one aspect of the present disclosure is provided. The communication system includes: a roadside device, which, when receiving request information indicating a prediction request for communication quality from a vehicle, sends the request information, information used for prediction of the communication quality, i.e., prediction information, and location information; a service provider device, which provides a service to the vehicle; and a prediction device, which, when receiving the request information, the prediction information, and the location information of the roadside device, predicts the communication quality of a communication path from the service provider device to the roadside device based on the prediction information and the location information of the roadside device.

[0016] Effects of the Invention

[0017] According to the present disclosure, it is possible to reduce the load on a device that predicts QoS. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a diagram showing a communication system according to Embodiment 1.

[0019] Figure 2 This is a diagram showing the details of the vehicle according to the first embodiment.

[0020] Figure 3 This is a diagram showing details of the roadside device according to the first embodiment.

[0021] Figure 4 This is a sequence diagram (part 1) showing an example of processing executed by the communication system according to the first embodiment.

[0022] Figure 5 This is a sequence diagram (part 2) showing an example of processing executed by the communication system according to the first embodiment.

[0023] Figure 6This is a sequence diagram (part 3) showing an example of processing executed by the communication system according to the first embodiment.

[0024] Figure 7 This is a sequence diagram (part 4) showing an example of processing executed by the communication system according to the first embodiment.

[0025] Figure 8 This is a diagram showing a communication system according to the second embodiment.

[0026] Fig. 9 This is a diagram showing the details of the vehicle according to the second embodiment.

[0027] Fig.10 This is a sequence diagram (part 1) showing an example of processing executed by the communication system according to the second embodiment.

[0028] Fig.11 This is a sequence diagram (part 2) showing an example of processing executed by the communication system of embodiment 2.

[0029] Fig.12 FIG. 1 is a diagram showing an example of a system capable of V2X adaptation. FIG.

[0030] Fig.13 FIG. 2 is a diagram showing an example of a system capable of V2X adaptation.

[0031] Fig.14 is a diagram showing an example of a MEC platform. DETAILED DESCRIPTION

[0032] Hereinafter, embodiments will be described with reference to the drawings. The following embodiments are merely examples, and various modifications can be made within the scope of the present disclosure.

[0033] Implementation method 1.

[0034] Figure 1 1 is a diagram showing a communication system according to Embodiment 1. The communication system includes a roadside unit (RSU: RoadSideUnit) 200 , a V2X application server 500 , and a prediction device 700 . Alternatively, the communication system may include a vehicle 100 , a base station 300 , a VAE server 400 , and an NEF 600 .

[0035] The vehicle 100 transmits an IQN request to the roadside device 200. The IQN request is also called request information. The request information is information indicating a prediction request of communication quality. The communication quality is QoS.

[0036] When receiving the IQN request from the vehicle 100, the roadside device 200 transmits the IQN request, information used for QoS prediction, and location information of the roadside device 200. In addition, the information used for QoS prediction is also referred to as prediction information. In addition, the information used for QoS prediction may also be information received from the vehicle 100. The information used for QoS prediction may also be information stored in the roadside device 200, or information stored in a device that can be connected to the roadside device 200. In addition, for example, the location information of the roadside device 200 is information stored in the roadside device 200.

[0037] The base station 300 may also be referred to as a wireless base station. The base station 300 transmits an IQN request, information used for QoS prediction, and location information of the roadside device 200 to the V2X application server 500 .

[0038] The V2X application server 500 is also referred to as a service providing device. The V2X application server 500 provides a service to the vehicle 100. In the following description, the service is a V2X service. The V2X application server 500 may be a real server or a virtual server. Upon receiving an IQN request, information used for QoS prediction, and location information of the roadside device 200, the V2X application server 500 sends the IQN request, information used for QoS prediction, and location information of the roadside device 200 to the prediction device 700 via the NEF 600.

[0039] The NEF 600 may be implemented by one device. The NEF 600 may be included in the prediction device 700.

[0040] The prediction device 700 has an NWDAF. The prediction device 700 receives an IQN request, information used for QoS prediction, and location information of the roadside device 200. The prediction device 700 may also receive information such as an IQN request from the roadside device 200 or the base station 300. The prediction device 700 predicts QoS based on the information used for QoS prediction and the location information of the roadside device 200. In detail, the prediction device 700 predicts the QoS of the communication path from the V2X application server 500 to the roadside device 200. For example, the content of QoS is the error rate, delay, bit rate, etc. of the communication path.

[0041] The prediction device 700 transmits QoS Sustainability (quality of service sustainability) as a prediction result of QoS to the vehicle 100 via the roadside device 200 or the like.

[0042] The communication system is described below in detail.

[0043] Figure 21 is a diagram showing details of a vehicle according to Embodiment 1. The vehicle 100 includes a V2X Application 110 and a wireless interface 120. The V2X Application 110 and the wireless interface 120 will be described below.

[0044] Figure 3 1 is a diagram showing the details of a roadside device according to Embodiment 1. The roadside device 200 includes a wireless interface 210, a MEC V2X Application 220, a MEC VAE Client 230, and a wireless interface 240. The wireless interface 210, the MEC V2X Application 220, the MEC VAE Client 230, and the wireless interface 240 will be described below.

[0045] Next, the processing executed by the communication system will be described using a sequence diagram.

[0046] Figure 4 This is a sequence diagram (part 1) showing an example of processing executed by the communication system according to the first embodiment.

[0047] exist Figure 4 and the following Figures 5 to 7 In the figure, the base station 300 and the NEF 600 are omitted.

[0048] (Step ST101 ) The vehicle 100 that desires the V2X service registers for the V2X service with the V2X application server 500 .

[0049] (Step ST102 ) The V2X application server 500 provides the vehicle 100 with a V2X service.

[0050] (Step ST103) The V2X Application 110 of the vehicle 100 transmits the IQN request and the information used for QoS prediction to the nearest roadside device 200 via the wireless interface 120. In addition, for example, the information used for QoS prediction is the V2X service category related to the IQN, the requested QoS, the QoS prediction period, the QoS threshold when notifying the IQN, the identification number of the vehicle 100 that sent the IQN request, etc. In addition, the QoS prediction period can also be expressed as a prediction timing.

[0051] Figure 5 This is a sequence diagram (part 2) showing an example of processing executed by the communication system according to the first embodiment.

[0052] (Step ST111 ) The MEC V2X Application 220 of the roadside device 200 transmits an IQN request, information used for QoS prediction, and location information of the roadside device 200 to the V2X application server 500 via the base station 300 .

[0053] (Step ST112 ) The V2X application server 500 transmits the IQN request, information used for QoS prediction, and the position information of the roadside device 200 to the prediction device 700 via the NEF 600 .

[0054] Figure 6 This is a sequence diagram (part 3) showing an example of processing executed by the communication system according to the first embodiment.

[0055] (Step ST121 ) The prediction device 700 predicts the QoS of the communication path from the V2X application server 500 to the roadside device 200 based on the information used for prediction of QoS, the position information of the roadside device 200 , and the like.

[0056] (Step ST122 ) The prediction device 700 transmits QoS Sustainability (service quality sustainability) as a prediction result of QoS to the VAE server 400 via the NEF 600 .

[0057] (Step ST123 ) The VAE server 400 performs signal processing for matching API with QoS Sustainability.

[0058] (Step ST124 ) The VAE server 400 transmits QoS Sustainability to the roadside device 200 via the base station 300 .

[0059] Figure 7 This is a sequence diagram (part 4) showing an example of processing executed by the communication system according to the first embodiment.

[0060] (Step ST131 ) The MEC VAE Client 230 of the roadside device 200 performs signal processing for making the MEC V2X Application 220 a state capable of processing QoS Sustainability.

[0061] (Step ST132 ) The MEC VAE Client 230 of the roadside device 200 sends QoSSustainability to the MEC V2X Application 220 .

[0062] (Step ST133 ) The MEC V2X Application 220 of the roadside device 200 transmits QoS Sustainability to the vehicle 100 that has transmitted the IQN request via the wireless interface 210 .

[0063] (Step ST134 ) The V2X Application 110 of the vehicle 100 performs V2X adaptation according to the content of QoS Sustainability.

[0064] According to the first embodiment, the prediction device 700 does not predict the QoS for the IQN requests sent by countless vehicles. The prediction device 700 only predicts the QoS for the IQN requests sent by the roadside device 200. Therefore, the communication system can reduce the load of the prediction device 700.

[0065] In addition, the roadside device 200 sometimes receives multiple IQN requests from multiple vehicles. When multiple IQN requests are received, the following processing is performed in the communication system. First, the information used for QoS prediction includes prediction timing. The roadside device 200 sends multiple IQN requests, multiple QoS prediction information corresponding to the multiple IQN requests, and location information of the roadside device 200. When the prediction device 700 receives multiple IQN requests, multiple QoS prediction information, and location information of the roadside device 200, it assigns priority to the multiple IQN requests based on the multiple prediction timings and the current time included in the multiple QoS prediction information. In detail, the prediction device 700 assigns priority to the multiple IQN requests in an order close to the current time. The prediction device 700 predicts QoS based on the priority. As a result, the prediction device 700 can predict QoS in an order corresponding to the prediction timing.

[0066] Implementation method 2.

[0067] Next, Embodiment 2 will be described. In Embodiment 2, matters different from Embodiment 1 will be mainly described. In Embodiment 2, description of matters common to Embodiment 1 will be omitted.

[0068] In the first embodiment, the vehicle 100 receives QoS Sustainability (quality of service sustainability) via the roadside device 200. In the second embodiment, a case where the vehicle 100 receives QoS Sustainability (quality of service sustainability) from the base station 300 will be described.

[0069] Figure 8 This is a diagram showing a communication system according to the second embodiment. Figure 8 The vehicle 100 is shown receiving QoSSustainability (Quality of Service Sustainability) from the base station 300 .

[0070] Next, the vehicle 100 will be described in detail.

[0071] Fig. 9 1 is a diagram showing the details of a vehicle according to Embodiment 2. The vehicle 100 further includes a wireless interface 130 and a VAE Client (VAE client) 140 .

[0072] The wireless interface 130 receives the QoS Sustainability from the base station 300 . The wireless interface 130 sends the QoS Sustainability to the VAE Client 140 .

[0073] The VAE Client 140 performs signal processing for matching the API on the QoS Sustainability and sends the QoS Sustainability to the V2X Application 110. Thus, the V2X Application 110 can perform V2X adaptation according to the content of the QoS Sustainability.

[0074] Fig.10 This is a sequence diagram (part 1) showing an example of processing executed by the communication system according to the second embodiment. Fig.10 The processing at step ST124a is the same as Figure 6 Therefore, in Fig.10 In the description of step ST124a, the description of the processing other than step ST124a is omitted. Fig.10 In the figure, the V2X application server 500 is omitted.

[0075] (Step ST124 a ) The VAE server 400 transmits QoS Sustainability to the VAE Client 140 of the vehicle 100 via the base station 300 .

[0076] Fig.11 This is a sequence diagram (part 2) showing an example of processing executed by the communication system of embodiment 2. Fig.11 The processing of step ST131a is the same as Figure 7 Therefore, in Fig.11 In the description of step ST131a, step ST131a is performed after step ST124a. Fig.11 In the figure, the V2X application server 500 is omitted.

[0077] (Step ST131 a ) The VAE Client 140 of the vehicle 100 sends QoS Sustainability to the V2X Application 110 .

[0078] (Step ST131b) The V2X Application 110 of the vehicle 100 performs V2X adaptation according to the content of QoSSustainability.

[0079] The vehicle 100 may also receive QoS Sustainability (Quality of Service Sustainability) from the prediction device 700 . In other words, the prediction device 700 may also send QoS Sustainability (Quality of Service Sustainability) to the vehicle 100 without passing through the roadside device 200 .

[0080] In this way, the QoS Sustainability (quality of service sustainability) is received by the vehicle 100 without passing through the roadside device 200. Therefore, in the second embodiment, the vehicle 100 can quickly receive the QoS Sustainability (quality of service sustainability).

[0081] The features in the respective embodiments described above can be combined with each other as appropriate.

[0082] Description of Reference Numerals

[0083] 100 vehicle, 110 V2X Application, 120 wireless interface, 130 wireless interface, 140 VAE Client, 200 roadside device, 210 wireless interface, 220 MEC V2X Application, 230 MEC VAE Client, 240 wireless interface, 300 base station, 400 VAE server, 500 V2X application server, 600 NEF, 700 prediction device, 900 vehicle, 901 OAM, 902 NWDAF, 903 NEF, 904 V2X Application Server, 910 V2X Application Client, 911 VAE Client, 912 NWDAF / NEF, 913 VAE Server, 914 V2X Application Server.

Claims

1. A communication system, wherein: The communication system comprises: a roadside device that, upon receiving request information indicating a request for prediction of communication quality from a vehicle, transmits the request information, prediction information used for prediction of the communication quality, and position information; a service providing device that provides a service to the vehicle; and A prediction device, which, upon receiving the request information, the prediction information and the location information of the roadside device, predicts the communication quality of the communication path from the service providing device to the roadside device based on the prediction information and the location information of the roadside device.

2. The communication system according to claim 1, wherein: The prediction information includes prediction timing, When the roadside device receives a plurality of request information from a plurality of vehicles, the roadside device transmits the plurality of request information, the plurality of prediction information corresponding to the plurality of request information, and the position information of the roadside device. When receiving a plurality of the request information, a plurality of the prediction information, and the location information of the roadside device, the prediction device assigns priority to the plurality of the request information based on a plurality of prediction times contained in the plurality of the prediction information and the current time, and predicts the communication quality based on the priority.

3. The communication system according to claim 1, wherein: The prediction result is received by the vehicle in a manner not via the roadside device.

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