Information exchange between TRPs for distributed wireless signal prediction

Abstract

This disclosure relates to a method for transmission in a vehicle radio communication system, performed in a processing unit (204a) associated with source transmit / receive points (102, 104) TRPs, wherein the method provides for each of one or more radio signals in the local radio environment of the source TRP. a) Evaluating the relevance of information derived from the measurement characteristics of radio signals to one or more potential target TRPs (112, 122, 132, 142), or a') Deriving information from the measurement characteristics of a wireless signal such that the information relates to one or more potential target TRPs, then, If the information relates to one or more potential target TRPs, b) transmit the information from the source TRP to the user unit (206b, 206c, 206d, 206e) associated with that target TRP, thereby enabling the user unit to predict future characteristics of the local radio environment at that target TRP. This includes methods.

Description

Technical Field

[0001] The present invention relates to telecommunications, and more particularly to a method for transmission in a vehicle wireless communication system, a communication method in a vehicle wireless communication system, a non - transient storage medium, a processing unit, and a utilization unit. Priority is claimed on European Patent Application No. 23306557.2 filed on September 20, 2023, the content of which is incorporated herein by reference.

Background Art

[0002] Wireless communication systems rely heavily on the accurate characterization and prediction of wireless signals from devices, which is important for various aspects both inside and outside the communication system. Devices within a communication network (often referred to as users) benefit from tracking specific parameters related to the wireless state or wireless plan of users under coverage. Unlike conventional short - term channel state information (CSI), the characterization of the wireless state provides valuable long - term information.

[0003] On the other hand, external devices (commonly known as interferers or interference sources) exist, and these can have a significant impact on the quality of wireless services by degrading the received signal. Understanding the interference situation is important for identifying potential anomalies caused by excessive interference from external sources. Furthermore, knowledge about interference enables the optimization of wireless - related functions such as beamforming, link adaptation, and efficient allocation of wireless resources.

[0004] A concurrently pending patent application by the same applicant addresses the problem of monitoring interference in radio frequency (RF) environments. Its analysis is based on observations performed by a fixed infrastructure comprising at least one RF receiver (Rx) at a fixed, known location. The receiver is configured to passively measure interference emitted by an interfering source, meaning it receives signals without prior knowledge of the interfering source, active interaction, control, or signaling. The concurrently pending patent application focuses on addressing moving interfering sources, where various transmission locations introduce dynamism into the interference environment. This approach involves a learning process that categorizes interference analysis into two distinct categories: interference-specific and environment-specific.

[0005] However, the concurrently pending patent applications only deal with processes performed by a single receiver to estimate and isolate interference characteristics. This does not include applying such interference monitoring techniques to road infrastructure settings or similar scenarios. [Overview of the Initiative] [Problems that the invention aims to solve]

[0006] Therefore, there is an urgent need for novel devices and methods that can be used to overcome the aforementioned limitations and extend the benefits of interference monitoring to a variety of applications. [Means for solving the problem]

[0007] The present invention is defined by the appended independent claims. Further features and advantages of the concepts disclosed herein are described below.

[0008] This disclosure is intended to improve the situation.

[0009] In particular, the distinct embodiments outlined in this disclosure, collectively, contribute to enabling improved transmission planning and resource allocation for vehicle radio communication systems by enabling efficient prediction of future radio environment characteristics of one or more potential target TRPs (transmit / receive points) based on relevant information derived from measured radio signal characteristics.

[0010] In general, the enhanced predictive capabilities provided by the distinct embodiments outlined in this disclosure enable proactive decision-making and optimization of communication parameters.

[0011] For this purpose, the Disclosure provides a method for transmission in a vehicle radio communication system, which is performed in a processing unit associated with a source TRP (transmitter / receiver point), wherein the method provides for each of one or more radio signals in the local radio environment of the source TRP. a) Evaluating the relevance of information derived from the measurement characteristics of a radio signal to one or more potential target TRPs, or a') Deriving information from the measurement characteristics of a wireless signal such that the information relates to one or more potential target TRPs, then, If the information relates to one or more potential target TRPs, b) transmit the information from the source TRP to the user unit associated with that target TRP, thereby enabling the user unit to predict future characteristics of the local radio environment at that target TRP. Describe the method, including the following.

[0012] The conditions relating to the relevance of the information associated with b) relate to a) a positive result of evaluating the relevance of the information, or information derived from the measurement characteristics of the radio signal according to a'). Conversely, if the information is not relevant to one or more potential target TRPs, i.e., if the result of a) evaluating the relevance of the information is negative, the method includes b') not transmitting the information from the source TRP to the utilization unit associated with that target TRP.

[0013] The method described above enables accurate estimation of future radio conditions at potential target TRPs, optimizing communication planning and resource allocation. Furthermore, by transmitting relevant information to the target TRPs, the vehicle radio communication system can proactively adapt to changing radio conditions, resulting in improved communication performance.

[0014] For example, a) is the following: Measurement characteristics of wireless signals, Information derived from the measurement characteristics of wireless signals, Direction and / or distance of potential target TRPs relative to source TRPs, A radio metric calculated or received by the processing unit, indicating the future quality of the target TRP's local radio environment. It may be based on one or more of the following:

[0015] This disclosure also relates to a communication method in a vehicle radio communication system implemented in a user unit associated with a target TRP (transmitter / receiver point), wherein the method provides for each of one or more radio signals in the local radio environment of the source TRP. c) Receiving information transmitted by a source TRP, wherein the information is derived from the measurement characteristics of a radio signal and is relevant to the target TRP for predicting the characteristics of future radio signals within the local radio environment of the target TRP. d) Using the received information to predict the characteristics of future radio signals within the local radio environment of the target TRP, Using the predictions made in e)d), determine the parameters of future communication for the target TRP, This document describes the communication methods, including [specific methods].

[0016] The communication method described above will enable the target TRP to make informed decisions and improve its future communication strategy to achieve better performance.

[0017] For example, d) is, - Specifying parameters of the target TRP, and - Predicting the impact of the wireless signal associated with the target TRP by incorporating the characteristics of future wireless signals in the local wireless environment of the target TRP considering the specified parameters, may further include.

[0018] For example, the measured characteristics of the wireless signal may include power characteristics and / or phase characteristics and / or a variance function of interference measurements and / or a wireless metric indicating the future quality of the local wireless environment of the source TRP.

[0019] For example, the parameters of the target TRP may include receive sensitivity, antenna gain, equalizer, and / or noise figure.

[0020] For example, e) may further include calculating a wireless metric indicating the future quality of the local wireless environment of the target TRP based on the prediction performed in d), and determining the future communication parameters of the target TRP based on the calculated wireless metric.

[0021] In an example of the above method, the measured characteristics of the wireless signal, or information derived from the measured characteristics of the wireless signal, may include parameters of the local environment of the source TRP such as an indication of vehicle speed, vehicle distance, and / or vehicle density for at least one direction of the vehicle and / or at least one direction of the vehicle flow.

[0022] In an example of the above method, the information may be transmitted from the source TRP to the target TRP via a static wireless link or using a dynamic wireless link.

[0023] When a dynamic wireless link is used, the target TRP may be further configured to receive additional information via an additional wireless link. The source TRP and / or target TRP may be further configured to dynamically detect and prune non-essential radio links based on certain criteria relating to the target TRP's requirements and / or the characteristics of the information transmitted over the radio link.

[0024] By detecting and pruning non-essential wireless links, this method can dynamically adapt to various network conditions, ensuring reliable data exchange. This further contributes to improved utilization of available resources, leading to improved communication performance.

[0025] This disclosure also describes a non-temporary storage medium for storing instructions for a computer program that, when executed by a computer, causes the computer to perform one or both of the methods described above.

[0026] This disclosure also relates to a processing unit associated with a source TRP (transmitter / receiver point) of a vehicle radio communication system, wherein the processing unit performs the following for each of one or more radio signals in the local radio environment of the source TRP: a) Evaluating the relevance of information derived from the measurement characteristics of a radio signal to one or more potential target TRPs, or a') Deriving information from the measurement characteristics of a wireless signal such that the information relates to one or more potential target TRPs, then, If the information relates to one or more potential target TRPs, b) transmit the information from the source TRP to the user unit associated with that target TRP, thereby enabling the user unit to predict future characteristics of the local radio environment at that target TRP. Describe the processing unit configured to perform the following actions.

[0027] This disclosure also relates to a utilization unit associated with a target TRP (transmitter / receiver point) of a vehicle radio communication system, wherein the utilization unit provides for each of one or more radio signals in the local radio environment of the source TRP. c) Receiving information transmitted by a source TRP, wherein the information is derived from the measurement characteristics of a radio signal and is relevant to the target TRP for predicting the characteristics of future radio signals within the local radio environment of the target TRP. d) Using the received information to predict the characteristics of future radio signals within the local radio environment of the target TRP, Using the predictions made in e)d), determine the parameters of future communication for the target TRP, Describe the user unit configured to perform the following actions. [Brief explanation of the drawing]

[0028] [Figure 1] This illustrates communication between the transmitting and receiving points of a wireless communication system in an exemplary embodiment. [Figure 2] A general architecture of a computer program algorithm suitable for interference prediction in an exemplary embodiment is shown. [Figure 3] This illustrates communication between a source transmission / reception point and two target transmission / reception points in an exemplary embodiment of a wireless communication system. [Figure 4] This illustrates a general structure for end-to-end training of a neural network, which may be utilized by a processing unit and a utilization unit, respectively, in an exemplary embodiment. [Figure 5] This illustrates communication using a static link between the transmit and receive points of a wireless communication system in an exemplary embodiment, in a low vehicle density scenario. [Figure 6] The inputs and outputs of an algorithm for a computer program suitable for interference prediction in an exemplary embodiment are shown. [Figure 7] This illustrates communication using dynamic links between transmit and receive points of a wireless communication system in an exemplary embodiment, in a scenario of high vehicle density. [Modes for carrying out the invention]

[0029] This general description is intended to present exemplary embodiments of the present invention. Variations, modifications, and alternatives may be apparent to those skilled in the art and may be made without departing from the scope of the invention. The specific configurations of the components and the ways in which they interact are merely illustrative, and alternative configurations and interactions are within the scope of the appended claims.

[0030] In light of the general description, the following specific embodiments serve to further illustrate the proposed invention. These embodiments correspond to distinct use cases.

[0031] Figure 1 shows an exemplary scenario with several transmit / receive points (TRPs). This could be, for example, a road with several radio units (RUs) (102, 104, 112) on the side. Vehicles on the road are considered vehicle radio transmitters.

[0032] Each TRP can acquire several measurements of its local radio environment. In an exemplary embodiment, when a vehicle radio transmitter is not communicating with the TRP, the received signal is considered interference. In other words, the measurements collected by each TRP may be for sources of interference within its local radio environment.

[0033] The purpose of TRP is to enable prediction of the level of radio signals from vehicle radio transmitters recognized by radio units. This prediction information can be used for radio planning tasks such as resource scheduling. This information can then be used by at least one other (subsequent) TRP to predict future levels of radio signals in its own local environment.

[0034] Figure 1 shows an example in which the first TRP(102) and the second TRP each collect measurements of their respective local wireless environments and transmit the information derived from these measurements to the third TRP.

[0035] The first concern is that, in order to minimize wireless overhead, it is desirable to filter the information being transmitted. However, establishing how to filter the information, in other words, deciding what information a TRP should transmit to other / subsequent TRPs, is not straightforward.

[0036] The second concern is whether a TRP should transmit information only to nearby TRPs, or to more distant TRPs as well. For example, information from nearby TRPs is likely to be up-to-date but has low predictive power. Here, high predictive power means that the information allows for predictions to be made well in advance (a large Δt). Conversely, low predictive power means that the information does not allow for predictions to be made well in advance (a small Δt). If it is possible to make highly accurate predictions but not well in advance, the information may have low predictive power but can be said to have high accuracy.

[0037] The general framework disclosed herein relates to an architecture and associated signaling provided to enable predictive estimation of radio signal levels emitted from vehicle radio transmitters, as recognized by the TRP infrastructure.

[0038] The purpose of this general framework is to address the two concerns mentioned above in both low-density and high-density vehicle scenarios.

[0039] Next, definitions of some terms and expressions used throughout this specification are provided in relation to Figures 1 and 2.

[0040] Source TRP(102) is a TRP configured to acquire information about one or more devices in its local radio environment. The information may include the measured power, measured phase, or both of the signals. This may be based on broadband measurements and / or long durations, for example, to characterize delay (and acquire impulse channel response). Alternatively, it may be one or more instantaneous measurements.

[0041] A target TRP(112) is defined in relation to a source TRP(102), and it is desirable to use at least some of the information obtained by the source TRP(102) to predict one or more parameters of one or more future radio signals in the local radio environment of the target TRP(112).

[0042] The methods described herein are not limited to communication between any particular type of TRP. Therefore, the source TRP and target TRP may specify any communication device in a vehicle radio communication system.

[0043] The processing unit (204a) is a functional module associated with the source TRP (102). The processing unit (204a) may be located, for example, within the source TRP (102), within a server, or within the target TRP (112). The processing unit (204a) takes one or more measurements as one or more inputs (202a) and outputs information related to the measurements and related to the prediction of radio signals recognized by the target TRP (112). The information output by the processing unit (204a) may include parameters of the radio signals. These parameters may include the variation function of the interference measurements, the flow velocity, and the flow density. These parameters may be further organized into subsets of parameters, each subset of parameters relating to a part of multiple radio signal measurements. For example, the processing unit (204a) may be configured to separate measurements of flow from two vehicles moving in two opposing directions into two parts, each representing one of the two directions.

[0044] The utilization unit (206b) is a functional module associated with the target TRP (112). The utilization unit (206b) may be located, for example, within the source TRP (102), within the server, or within the target TRP (112). The utilization unit (206b) may use information received from at least one processing unit (204a) to perform predictions regarding the radio signal or the influence of the radio signal associated with the target TRP (112). The prediction of the influence of the radio signal may also include the specifications of the target TRP (112), which may differ from those of the source TRP. For example, different TRPs may exhibit different Rx sensitivity, antenna gain, equalizer, noise figure, etc.

[0045] The information output by the utilization unit (206b) may then be used to generate one or more outputs (208b), such as by calculating a radio metric indicating the future quality of the local radio environment of the target TRP (112), including SINR or throughput.

[0046] A TRP can independently fulfill the roles of both a source TRP and a target TRP. Furthermore, a processing unit associated with a source TRP can transmit information to a utilization unit associated with a target TRP, where both the source TRP and the target TRP are the same TRP.

[0047] For example, suppose TRP performs some kind of interference prediction. In this case, the measurements can later be used to evaluate the accuracy of the predictions and potentially improve the model. Thus, these measurements can be used to evaluate past predictions and modify the model as needed.

[0048] The processing unit (204a) and the utilization unit (206b) are implemented in a manner known by any suitable computer or equivalent means and are connected to each other by wireless communication links, which may be static or dynamic.

[0049] Figure 3 illustrates a scenario in which two vehicle flows move in opposite directions along a roadway. In this case, a processing unit (204a) connected to a source TRP (102) uses a static link to transmit information to two separate utilization units (206b and 206c), each associated with two different target TRPs (112 and 122) in each direction. This information exchanged between the processing and utilization units could be parameters or selected measurements regarding radio signals generated by the vehicle flow. This can help the utilization units perform flow-based predictions.

[0050] Naturally, the first target TRP(112) is interested in information about the flow of vehicles moving in that direction, while the second TRP(122) seeks information about the flow moving in the opposite direction. Determining the direction of flow is a complex task that requires multiple measurements. When a TRP receives mixed signals from multiple flows, separating these signals becomes difficult. Therefore, it is desirable for the source TRP to separate these signals, which helps reduce noise. In addition, transmitting only the relevant information helps with data compression.

[0051] As a result, the processing unit (204a) must separate the source TRP-related measurements into various labeled subsets. These may include two sets of parameters associated with each traffic flow (such as density and velocity), or two separate interference signals from each direction. Regardless of the method, labeling the separated information is essential, for example, based on the detected flow direction. The processing unit can then use these labels to guide the distribution of the separated information to the appropriate utilization units. This process enables the transmission of specific information to the first (206b) and second (206c) utilization units according to the labels, effectively transmitting information about traffic flow in a specific direction only to the relevant target TRP.

[0052] Implementing this may involve training a neural network to perform a source separation task. For example, the processing unit may analyze radio signals in the local radio environment of the source TRP to estimate the distance and corresponding flow direction of the vehicle closest to the source TRP. The output from the processing unit may then be a set of parameters including the estimated distance of each vehicle to the source TRP, optionally labeled with the flow direction.

[0053] The processing unit can be trained in a supervised manner to associate radio signals with vehicle distance. This distance information, based on the detected traffic flow direction, is then transmitted to the target TRP and used as input data. The target TRP uses this data to predict future radio environment conditions.

[0054] If the predictive model used by the processing and utilization units is a neural network, end-to-end training (by autoencoder structure) can be applied for more efficient coordination. Figure 4 provides an example of this process. Two models (304, 306) are trained jointly, with inputs being local radio observations at source TRP (102) and labels being information about subsequent interference at target TRP (112). During the inference phase, the models are separated. Processing unit (204a) manages the first model (304), and utilization unit (206b) manages the second model (306). The processing unit transmits a latent space (302) which serves as the output of the first model and the input to the second model.

[0055] For signal separation, a processing unit can be trained to extract single-flow interferences from observed collective interferences. For this task, a recurrent neural network, such as one with an LSTM layer, may be used. The extracted signals are then sent to the appropriate utilization unit.

[0056] Figure 5 shows an example of communication between TRPs (102, 112) using static links (402, 404) in a scenario characterized by low vehicle density. In such a scenario, the user unit can perform vehicle-by-vehicle tracking and prediction by receiving parameters or selected measurements regarding the vehicle's radio signal from the processing unit.

[0057] In this context, the processing unit (204a) can undertake the task of separating interference into two categories: parameters specific to the source of interference and parameters specific to the radio environment. Similar to the direction of flow, the processing unit needs to detect the direction of individual vehicles. Subsequently, the parameters specific to the source of interference are dispatched to the appropriate utilization unit.

[0058] Figure 6 serves as a graphical representation of the inputs and outputs to an estimation module (502) configured to calculate interference source-specific parameters (also referred to as "I-parameters") and wireless environment-specific parameters (also referred to as "RE-parameters").

[0059] Specifically, the estimation module (502) receives input from the source TRP (102) in the form of measured values ​​or information derived from such measured values. The estimation module (502) further receives additional input in the form of I-parameters and RE-parameters from a database or another estimator. The estimation module (502) outputs the updated I-parameters and updated RE-parameters, which are then stored in the database or passed to another estimator.

[0060] The aforementioned I-parameters may include variables such as speed, transmit power, and antenna gain. These parameters can be expressed as either scalar values ​​or probability functions.

[0061] RE-parameters can take the form of a map showing RF signal attenuation within the zone under consideration, or alternatively, a modeling function of signal attenuation using path loss and shadowing parameters. Similar to I-parameters, these parameters can be scalar values ​​or probability functions. The estimation algorithm implemented within the processing unit may update the scalar values ​​of the parameters using a Euclidean distance-based algorithm, update the probability functions of the parameters using a Euclidean distance-based algorithm, or update the probability functions of the parameters using a Bayesian-based algorithm, and among other possibilities, Bayes' theorem may be used in all cases.

[0062] As previously mentioned, the information required by a given user unit is then transmitted by the processing unit. For a target TRP located on the opposite side of the road, RE-parameters may be required because both TRPs share the same environment but are interested in different vehicles. Conversely, for a target TRP located far from the source TRP, on the same side of the road, I-parameters may be more relevant because they share the same interest in the same vehicles but do not share the same environment. It should be noted that predicting I-parameters for vehicles outside of its range can be a significant challenge for a TRP, even though this information is important for the radio planning task.

[0063] Scenarios involving dynamic links between processing units and user units may also be considered. In this context, we consider that the processing unit first broadcasts information to all of its neighboring user units, as illustrated in Figure 7.

[0064] Figure 7 shows a vehicle communication system comprising one source TRP (102) linked to a processing unit (204a) and four target TRPs (112, 122, 132, 142) linked to user units (206b, 206c, 206d, 206e), respectively. The four arrows represent the dynamic links between the processing unit (204a) and each of the user units (206b, 206c, 206d, 206e).

[0065] The vehicle communication system may be configured to identify any unnecessary links. These extra links can then be pruned. For example, if a user unit requires advanced information, for instance, if scheduling is performed with low periodicity, information from a more distant TRP may be prioritized. A dynamic link represented by an arrow between a processing unit (204a) and one of the more distant user units (206c, 206e) would be considered a necessary link, while a dynamic link represented by an arrow between a processing unit (204a) and one of the closer user units (206b, 206d) would be considered an unnecessary link and could be pruned.

[0066] In contrast, if a user unit requires highly correlated information, information from a closer TRP may be prioritized. For example, consider a case where several target TRPs (102, 112, 122, 132) can also function as source TRPs sharing the same processing unit (204a). The user unit (206e) of the remaining target TRP (142) is responsible for performing interference prediction with respect to the local radio environment of that target TRP (142) and may first take the four signals received from the user unit (206e) as input. The user unit (206e) may then identify that the signal corresponding to the furthest source TRP (122) does not affect performance. The user unit (206e) may then ignore this signal, or it may generate an instruction, for example, for the processing unit (204a) to stop transmitting this signal.

Claims

1. A method for transmission in a vehicle radio communication system, which is performed in a processing unit associated with a source TRP (transmitting / receiving point), The method, for each of one or more radio signals in the local radio environment of the source TRP, a) Evaluating the relevance of information derived from the measurement characteristics of radio signals to one or more potential target TRPs, or a') Deriving the information from the measurement characteristics of the wireless signal such that the information relates to one or more potential target TRPs, then, If the information relates to one or more potential target TRPs, b) transmit the information from the source TRP to a user unit associated with that target TRP, thereby enabling the user unit to predict future characteristics of the local radio environment in that target TRP. Methods that include...

2. A communication method in a vehicle radio communication system implemented in a user unit associated with a target TRP (transmitting / receiving point), wherein the method includes, for each of one or more radio signals in the local radio environment of the source TRP, c) Receiving information transmitted by the source TRP, wherein the information is derived from the measurement characteristics of the radio signal and is relevant to the target TRP for predicting the characteristics of the future radio signal in the local radio environment of the target TRP, d) Using the received information to predict the characteristics of future radio signals in the local radio environment of the target TRP, Using the predictions made in e) and d), determine the parameters of the future communication of the target TRP. A communication method that includes this.

3. e) is, d) further includes calculating a radio metric indicating the future quality of the local radio environment of the target TRP based on the prediction made, and determining the parameters of the future communications of the target TRP based on the calculated radio metric. The method according to claim 2.

4. To evaluate the aforementioned relationships of the aforementioned information, The measurement characteristics of the aforementioned wireless signal, The information derived from the measurement characteristics of the wireless signal, The direction and / or distance of the potential target TRP relative to the source TRP, A radio metric indicating the future quality of the local radio environment of the target TRP, calculated or received by the processing unit. Based on one or more of the following: The method according to claim 1.

5. The measurement characteristics of the radio signal include a function of variation of power characteristics and / or phase characteristics and / or interference measurements and / or a radio metric indicating the future quality of the local radio environment of the source TRP, The method according to any one of claims 1 to 4.

6. The measurement characteristics of the radio signal, or the information derived from the measurement characteristics of the radio signal, include parameters of the local environment of the source TRP, such as indications of vehicle speed, vehicle distance, and / or vehicle density for at least one direction of the vehicle and / or at least one direction of the vehicle flow. The method according to any one of claims 1 to 5.

7. d) is, - Specifying the parameters of the target TRP, - Predicting the influence of radio signals associated with the target TRP, taking into account the specified parameters and incorporating the characteristics of the future radio signals in the local radio environment of the target TRP, The method according to claim 2 or 3, further comprising:

8. The parameters of the target TRP include, The method according to claim 7.

9. The aforementioned information is transmitted from the source TRP to the target TRP via a static wireless link. The method according to any one of claims 1 to 8.

10. The aforementioned information is transmitted by the source TRP using a dynamic wireless link. The method according to any one of claims 1 to 8.

11. The target TRP is further configured to receive additional information via an additional radio link. The source TRP and / or the target TRP are further configured to dynamically detect and prune non-essential radio links based on predetermined requirements of the target TRP and / or specific criteria relating to the characteristics of the information transmitted over the radio link. The method according to claim 10.

12. A non-temporary storage medium for storing instructions for a computer program that, when executed by a computer, causes the computer to perform the method according to any one of claims 1 to 13.

13. A processing unit associated with a source TRP (transmit / receive point) of a vehicle radio communication system, wherein the processing unit performs the following for each of one or more radio signals in the local radio environment of the source TRP: a) Evaluating the relevance of information derived from the measurement characteristics of radio signals to one or more potential target TRPs, or a') Deriving the information from the measurement characteristics of the wireless signal such that the information relates to one or more potential target TRPs, then, If the information relates to one or more potential target TRPs, b) transmit the information from the source TRP to a user unit associated with that target TRP, thereby enabling the user unit to predict future characteristics of the local radio environment in that target TRP. A processing unit configured to perform the following actions.

14. A user unit associated with a target TRP (transmit / receive point) of a vehicle radio communication system, wherein the user unit provides for each of one or more radio signals in the local radio environment of the source TRP. c) Receiving information transmitted by the source TRP, wherein the information is derived from the measurement characteristics of the radio signal and is relevant to the target TRP for predicting the characteristics of the future radio signal in the local radio environment of the target TRP. d) Using the received information to predict the characteristics of future radio signals in the local radio environment of the target TRP, Using the predictions made in e) and d), determine the parameters of the future communication of the target TRP. A user unit configured to perform the following actions.

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