Internet of vehicles resource pre-allocation method

Abstract

The invention discloses an Internet of Vehicles resource pre-allocation method, which comprises the following steps that: a base station further predicts information such as data, position and the like of UE at a future moment and required resources according to prediction information reported by current UE and other UE and road big data in combination with knowledge maps such as historical data and conditions such as climate and conferences, and allocates resources capable of direct communication to the UE; further interaction between the UE and the network is not needed, switching interruption time delay is reduced, and the low-time-delay requirement of vehicle teams and other vehicle networking scenes is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency rescue communication, and is particularly applicable to a method for pre-allocating resources of an Internet of Vehicles. Background Art

[0002] Vehicle-to-Everything (V2X) refers to the use of wireless communication technology to connect vehicles to vehicles (V2V), vehicles to infrastructure (V2I), vehicles to pedestrians (V2P) and vehicles to networks (V2N) to form an intelligent transportation system. V2X technology aims to improve road safety, optimize traffic flow, enhance driving experience and promote environmental protection.

[0003] In the Internet of Vehicles, the communication between vehicles may be continuous and periodic, such as in a convoy scenario. This requires the network to provide wireless resources for vehicle-to-vehicle communication in real time to ensure low latency and high reliability of vehicle-to-vehicle communication. In a convoy scenario, the main vehicle is generally connected to the Internet continuously and needs to occupy wireless network resources for a long time to avoid delays and interruptions caused by re-monitoring channel occupancy when passing through an area before selecting the corresponding wireless network resources.

[0004] Even so, due to the continuous movement of the vehicle, wireless network switching is inevitable. During the network switching process, network communication delays and interruptions will occur, which cannot meet the requirement of less than 25ms in vehicle network communication.

[0005] In the prior art, in order to solve the problem of network switching and long-term occupation of communication resources during the wireless network communication of mobile objects, a network resource pre-allocation technology is proposed. However, the current network resource pre-allocation technology cannot allocate resources based on the data characteristics and location of the UE at a future time. At the same time, network resource pre-allocation can only be initiated by the network end, not by the UE end. Summary of the invention

[0006] The present invention aims to provide a method for pre-allocating resources in an Internet of Vehicles (IoV), aiming to solve the problem in IoV technology that network resources cannot be allocated according to the data characteristics and location of UE at a future moment and that a network resource pre-allocation request cannot be initiated by the UE.

[0007] To achieve the above object, the present invention adopts the following technical solutions: The vehicle networking resource pre-allocation method of the present invention comprises the following steps: S1, reporting predicted UE information to the serving base station; the predicted UE information includes UE moving speed, UE motion trajectory, UE position estimation, UE channel quality, UE data generation time, data generation cycle, data packet size, priority information, logical channel information, QoS requirements, UE interested sending / receiving frequency, traffic lights, climate, or any combination thereof; S2, the serving base station predicts the location and required resources of the UE based on the environmental information, and sends the predicted location and required resources of the UE to a neighboring base station or a radio resource management node; S3, the neighboring base station / radio resource management node reserves resources for the UE and forwards them to the serving base station via the Xn / X2 interface, and the serving base station informs the UE of the reserved resources.

[0008] Furthermore, in step S1, the predicted UE information comes entirely from the UE or the computing node or partly from the UE and partly from the computing node.

[0009] Furthermore, in step S1, the predicted UE information includes predicted UE information within a period of time or predicted UE information at a certain point in the future.

[0010] Furthermore, in step S1, the reporting includes periodic reporting, event-triggered reporting, and serving base station request reporting.

[0011] Furthermore, the environmental information in step S2 includes climate, temperature and humidity, traffic lights, road congestion, and route planning information.

[0012] Preferably, step S3 is that the neighboring base station provides the wireless resource management node of the neighboring base station to the serving base station based on the network switching request, and the serving base station requests the wireless resource management node to reserve resources.

[0013] Preferably, in step S3, the neighboring base station obtains the reserved resources from the wireless resource management node based on the network switching request, and then feeds back the reserved resources to the serving base station.

[0014] Preferably, in step S3, the neighboring base station reserves a plurality of resources for the UE to select and use, and the neighboring base station releases the resources not used by the UE.

[0015] The advantage of the present invention is that the base station further predicts the UE's future data, location and other information and required resources based on the prediction information reported by the current UE and other UE and road big data, combined with knowledge graphs such as historical data and climate, meeting and other conditions, and allocates resources for direct communication to the UE, without the need for further interaction between the UE and the network, thereby reducing the switching interruption delay and ensuring the low latency requirements of vehicle networking scenarios such as fleets. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1The figure is a flow chart of the method for pre-allocating Internet of Vehicles resources according to the present invention.

[0017] Figure 2 This is a schematic diagram of the vehicle network supporting LTE base station scheduling NR sidelink of the present invention.

[0018] Figure 3 This is a schematic diagram of the vehicle network supporting NR base station scheduling LTE sidelink of the present invention.

[0019] Figure 4 This is a flow chart of the first method for acquiring reserved resources in the present invention.

[0020] Figure 5 This is a flow chart of a second method for acquiring reserved resources according to the present invention.

[0021] Figure 6 This is a flow chart of a third method for acquiring reserved resources according to the present invention. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] like Figure 1 As shown, the vehicle networking resource pre-allocation method of the present invention includes the following steps: S1, UE or MEC or their combination UE reports the predicted UE information to the serving base station, such as Figure 1 As shown in 1a or 1b.

[0024] The predicted UE information includes one or any combination of UE moving speed, UE motion trajectory, UE position estimation, UE channel quality, UE data generation time, data generation cycle, data packet size, priority information, logical channel information, QoS requirements, UE interested sending / receiving frequency, traffic lights, and climate.

[0025] The predicted UE information may be for a period of time or for some future time points (such as predicted information at the time when UE data is generated).

[0026] The reporting behavior can be periodic or event-triggered (for example, the UE predicts that more data will be generated but there are no corresponding resources), or it can be requested by the base station (for example, the base station finds through uplink measurement that the UE needs to perform a handover, or the base station determines to perform a handover on the UE based on the downlink measurement results reported by the UE).

[0027] S2, the serving base station predicts the location and required resources of the UE based on the environmental information, and sends the predicted location and required resources of the UE to the neighboring base station or the radio resource management node, such as Figure 1 As shown in Figure 2. Environmental information includes various information such as climate, temperature and humidity, traffic lights, road congestion, route planning, etc.

[0028] S3, the neighboring base station / radio resource management node reserves resources for the UE and forwards them to the serving base station via the Xn / X2 interface. The serving base station informs the UE of the reserved resources (e.g., through the HO command). Figure 1 As shown in Figures 3a and 3b.

[0029] In one embodiment, if Figure 1 As shown in 1b, the predicted UE information all comes from the computing node, such as the MEC server. The computing node reports the predicted UE information to the serving base station, which predicts the UE's location and required resources based on the environmental information, and sends the predicted UE's location and required resources to the neighboring base station or the wireless resource management node. The neighboring base station / wireless resource management node reserves resources for the UE and forwards them to the serving base station via the Xn / X2 interface, and the serving base station informs the UE of the reserved resources.

[0030] In one embodiment, if Figure 1 As shown in 1a and 1b, the predicted UE information comes partly from the UE and partly from the computing node. The UE and the computing node report the predicted UE information to the serving base station respectively. The serving base station predicts the UE's location and required resources based on the environmental information, and sends the predicted UE's location and required resources to the neighboring base station or the wireless resource management node. The neighboring base station / wireless resource management node reserves resources for the UE and forwards them to the serving base station via the Xn / X2 interface. The serving base station informs the UE of the reserved resources.

[0031] In addition, in the Internet of Vehicles, the Internet of Vehicles may need to support the situation where the LTE base station schedules the NR sidelink, such as Figure 2 As shown in the figure, the UE moves from NR coverage (i.e. NR gNB 1) to LTE coverage (i.e. LTE eNB 1). The NR wireless resources covered by LTE need to be obtained from its associated NR base station (i.e. NR gNB 2) so that the new car can still perform advanced Internet of Vehicles services through NR sidelink when there is only LTE coverage. The Internet of Vehicles may also need to support the situation where the NR base station schedules the LTE sidelink, such as Figure 3As shown in the figure, when the UE moves from LTE eNB 1 to LTE eNB 3, it needs to request NR radio resources from NR gNB 2 so that when there is only NR coverage, the new car (the car that supports NR V2X and LTE V2X functions) can communicate with the old car (which only supports LTE-V2X function) through LTE sidelink.

[0032] To this end, the method for pre-allocating resources in the Internet of Vehicles resource described in the present invention also includes the following three methods for obtaining reserved resources.

[0033] The first one is the process Figure 4 As shown in 5-6a-6b, the serving base station knows the radio resource management node of the neighboring base station and directly requests the reserved resources of the UE from the radio resource management node without the need for a network handover process.

[0034] The second process is as follows Figure 5 As shown in 7-8-9-10a-10b, the neighboring base station provides the wireless resource management node of the neighboring base station, such as the eNB / gNB id of the node, to the serving base station based on the network switching request, and the serving base station requests reserved resources from the wireless resource management node of the neighboring base station based on the id.

[0035] The third process is as follows Figure 6 As shown in 11-12-13a-13b, the neighboring base station obtains the reserved resources from the wireless resource management node based on the network switching request, and then feeds back the reserved resources to the serving base station.

[0036] Finally, in the vehicle network resource pre-allocation method described in the present invention, the neighboring base station can reserve multiple resources for the UE for the UE to choose to use. The UE selects one of the resources and feeds back the usage status to the base station so that the neighboring base station can release unused resources.

Claims

1. A method for pre-allocating resources in an Internet of Vehicles, characterized in that: The following steps are involved: S1, reporting predicted UE information to the serving base station; the predicted UE information includes UE moving speed, UE motion trajectory, UE position estimation, UE channel quality, UE data generation time, data generation cycle, data packet size, priority information, logical channel information, QoS requirements, UE interested sending / receiving frequency, traffic lights, climate, or any combination thereof; S2, the serving base station predicts the location and required resources of the UE based on the environmental information, and sends the predicted location and required resources of the UE to a neighboring base station or a radio resource management node; S3, the neighboring base station / radio resource management node reserves resources for the UE and forwards them to the serving base station via the Xn / X2 interface, and the serving base station informs the UE of the reserved resources.

2. A method for pre-allocating Internet of Vehicles resources according to claim 1, characterized in that: In step S1, the predicted UE information all comes from the UE or the computing node or partly comes from the UE and partly comes from the computing node.

3. A method for pre-allocating Internet of Vehicles resources according to claim 1, characterized in that: In step S1, the predicted UE information includes predicted UE information within a period of time or predicted UE information at a certain point in the future.

4. A method for pre-allocating Internet of Vehicles resources according to claim 1, characterized in that: In step S1, the reporting includes periodic reporting, event-triggered reporting, and serving base station request reporting.

5. The method for pre-allocating resources of an Internet of Vehicles according to claim 1, characterized in that: The environmental information in step S2 includes climate, temperature and humidity, traffic lights, road congestion, and route planning information.

6. A method for pre-allocating Internet of Vehicles resources according to claim 1, characterized in that: In step S3, the neighboring base station provides the wireless resource management node of the neighboring base station to the serving base station based on the network switching request, and the serving base station requests the wireless resource management node to reserve resources.

7. A method for pre-allocating Internet of Vehicles resources according to claim 1, characterized in that: Step S3 is that the neighboring base station obtains the reserved resources from the wireless resource management node based on the network switching request, and then feeds back the reserved resources to the serving base station.

8. A method for pre-allocating Internet of Vehicles resources according to claim 1, characterized in that: In step S3, the neighboring base station reserves multiple resources for the UE to choose to use, and the neighboring base station releases the resources not used by the UE.

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