Classifications

• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04W—WIRELESS COMMUNICATION NETWORKS
  • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
  • H04W4/02—Services making use of location information
  • H04W4/029—Location-based management or tracking services
• • G—PHYSICS
  • G05—CONTROLLING; REGULATING
  • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
  • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
  • G05D1/60—Intended control result
  • G05D1/644—Optimisation of travel parameters, e.g. of energy consumption, journey time or distance
  • G05D1/6445—Optimisation of travel parameters, e.g. of energy consumption, journey time or distance for optimising payload operation, e.g. camera or spray coverage
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04B—TRANSMISSION
  • H04B7/00—Radio transmission systems, i.e. using radiation field
  • H04B7/14—Relay systems
  • H04B7/15—Active relay systems
  • H04B7/185—Space-based or airborne stations; Stations for satellite systems
  • H04B7/18502—Airborne stations
  • H04B7/18506—Communications with or from aircraft, i.e. aeronautical mobile service
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L47/00—Traffic control in data switching networks
  • H04L47/70—Admission control; Resource allocation
  • H04L47/83—Admission control; Resource allocation based on usage prediction
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L67/00—Network arrangements or protocols for supporting network services or applications
  • H04L67/50—Network services
  • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
  • H04L67/61—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements
• • G—PHYSICS
  • G05—CONTROLLING; REGULATING
  • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
  • G05D2101/00—Details of software or hardware architectures used for the control of position
  • G05D2101/10—Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques
  • G05D2101/15—Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques using machine learning, e.g. neural networks
• • G—PHYSICS
  • G05—CONTROLLING; REGULATING
  • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
  • G05D2105/00—Specific applications of the controlled vehicles
  • G05D2105/40—Specific applications of the controlled vehicles for communications, e.g. wireless network relays
• • G—PHYSICS
  • G05—CONTROLLING; REGULATING
  • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
  • G05D2109/00—Types of controlled vehicles
  • G05D2109/20—Aircraft, e.g. drones
  • G05D2109/22—Aircraft, e.g. drones with fixed wings
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04W—WIRELESS COMMUNICATION NETWORKS
  • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
  • H04W4/02—Services making use of location information
  • H04W4/025—Services making use of location information using location based information parameters
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04W—WIRELESS COMMUNICATION NETWORKS
  • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
  • H04W4/30—Services specially adapted for particular environments, situations or purposes
  • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

Definitions

• the invention is located in the field of wireless telecommunications.
• the present invention describes a method of adaptive configuration of wireless telecommunications implemented, in a mission, by a mobile machine, on one or more wireless links, with at least one platform of a set of platforms, said method comprising the set of following steps, iterated during successive moments of the mission, a electronic predictor of exchange templates and an electronic connectivity predictor being embedded, in the mobile vehicle, in an electronic processing block comprising a set of processing function(s):
• such a method will also include at least one of the following characteristics:
• the processing block of the mobile machine based on at least the prediction of the future state of the wireless links, performs at least one action among: adapting the trajectory of the mobile machine or a platform to maintain an existing wireless link or create a new wireless link; re-direction of flows within said wireless links; adapting the characteristics of said connections;
• the mobile machine is an aircraft and the mission is an aerial mission which comprises several phases among at least one take-off phase, a transit phase, a theater of operation phase and a landing phase and the prediction of the the future state of the wireless links by the connectivity predictor and the prediction of future exchange templates by the exchange template predictor are each a function of the current phase of the mission;
• At least one of the predictors among the connectivity predictor and the exchange template predictor includes a neural network; and said predictor selection comprises the selection of a set of weights and biases of the neural network from a set of available sets of weights and biases, depending on the mission profile;
• At least one of the predictors among the connectivity predictor and the exchange template predictor includes a neural network; and during the mission, data indicating the current state of connectivity of the links, data indicating the exchanges carried out by the functions on the wireless links and data indicating the current mission conditions are collected and stored; and said collected data and the mission profile are used to continue learning said neural network.
• the present invention proposes a computer program intended to be stored in the memory of an electronic processing unit on board a mobile vehicle to adaptively configure telecommunications implemented during 'a mission, by the mobile device, on one or more wireless links; the processing block further comprising a microcomputer, said computer program comprising instructions which, when executed on the microcomputer, implement the steps of a method according to the first aspect of the invention.
• the invention describes an electronic processing block adapted to be embarked on a mission, in a mobile vehicle adapted to implement, on one or more wireless links, telecommunications with at least one platform a set of platforms, said electronic processing block comprising a set of processing function(s), an electronic exchange template predictor and an electronic connectivity predictor; in which: the connectivity predictor is adapted to, during successive moments of the mission, predict the future state of the wireless links at least a predefined time horizon, based on at least the current state of the wireless links and one or more mission condition parameters from weather data, the current position of the mobile device, the current attitude of the mobile device, the trajectory followed, the speed of the mobile device, the relief, heading, friendly positions, enemy threats, electromagnetic environment;
• the processing block being adapted to, following said prediction, when said predicted operating mode of the function is different from an operating mode of the function currently implemented, trigger a switch of at least said function to said mode predicted operation.
• such a processing block will also include at least one of the following characteristics: - It is adapted for, depending on at least the prediction of the future state of the wireless links, to perform at least one action among: adapting the trajectory of the mobile machine (30) or a platform (70, 80) to maintain an existing wireless link or create a new wireless link; re-direction of flows within said wireless links; adapting the characteristics of said connections;
• the mobile machine (30) is an aircraft and the mission is an aerial mission which comprises several phases among at least one take-off phase, a transit phase, a theater of operation phase and a landing phase and the prediction of the future state of the wireless links by the connectivity predictor (22) and the prediction of future exchange templates by the exchange template predictor (21) are each a function of the current phase of the mission.
• FIG. 1 is an illustration of an air mission processing system 1 implementing an embodiment of the invention
• Figure 2 represents the steps of an aerial mission processing method 1 implementing an embodiment of the invention.
• the air mission processing system 1 comprises, in the case shown, a configuration platform 10, a fleet of mobile machines equipped with wireless transmission means (for example fighter planes, reconnaissance planes, refueling planes ), in particular in the example considered, aircraft including an airplane 30, an airplane 80 and a rolling machine 70.
• a configuration platform 10 a fleet of mobile machines equipped with wireless transmission means (for example fighter planes, reconnaissance planes, refueling planes ), in particular in the example considered, aircraft including an airplane 30, an airplane 80 and a rolling machine 70.
• the aerial missions are implemented by the aerial mission processing system 1, in an embodiment subsequently described with reference to Figure 2 with reference to an aerial mission involving several aircraft, in particular the aircraft 30 alone shown in figure 1.
• the configuration platform 10 includes a server 11 and a database 12.
• the server 11 includes an electronic configuration module 13.
• the database 12 includes a set of sets of exchange template predictor configuration parameters and a set of sets of connectivity state predictor configuration parameters.
• the aircraft 30 includes a processing block 20.
• the processing block 20 of the aircraft 30 comprises an electronic block predicting exchange templates 21, an electronic block predicting connectivity state 22, a control block 23, a block of sensors 24, a block trajectory calculation 25 and a wireless telecommunications block 26.
• the wireless telecommunications links implemented by the wireless telecommunications block 26 are constrained: the telecommunications capacity is limited (compared to gigabit optical fiber networks) and not very stable: the telecommunications links in the framework air missions are frequently deployed locally and occasionally in a medical or military intervention area (a geological or other disaster zone, a conflict zone, etc.); these transmission links are frequently broken without notice (for example by intentional or unintentional jamming), some are very limited in terms of bandwidth or experience occurrences, much more frequent than in traditional consumer networks, of bandwidth variations or latency.
• Each or some of at least one or more blocks among the control blocks 23, sensors 24, trajectory calculation blocks 25 implement for example one or more functions, in particular software applications, which execute during carrying out an air mission, and which, during this execution, transmit and/or receive data (measurement, analysis, command, alert, observations, etc.) via one or more links wireless telecommunications established by the wireless telecommunications block 26.
• a software application of a video sensor of block 24 captures images and transmits them remotely, etc.
• Some of these blocks, and/or some of the functions of the blocks are further adapted to operate selectively according to an operating mode selected from several of their operating modes, for example nominal mode, degraded mode 1, ..., degraded mode n (n>1) associated respectively with distinct characteristics, volumes of data transmitted and/or lifespan of the information (which will condition the maximum latency that the network must respect between the source and the recipient) and/or the tolerated jitter, the error rate supported, the sovereignty of this data, the level of protection associated with the transmission of the data, etc. (in fact, anything that will affect the conditions of transport can be taken into account).
• Each operating mode is thus associated with a corresponding transport template, which translates the characteristics of the operating mode into transport characteristics by the network.
• Distinct modes of operation of a function of a block are distinguished for example by the format of the transmission data considered (in particular compression and coding mode) delivered by the function, by the transmission protocol used by the function, by the precision of the processing carried out by the function (example: resolution of transmitted images), by a level of filtering playing on the completeness of the data transmitted etc., which result in distinct characteristics regarding the transmission: certain less relevant data may for example not be transmitted if resources were to be lacking, corresponding for example to a narrowing of the field of observation), or an adaptable selectivity of the information transmitted (certain information could be deleted for reasons of priority or security level for example).
• the configuration platform 10 is adapted to determine the configuration parameters of the connectivity state predictor 22 and exchange predictor 21 blocks, during the preparation of the mission, in the manner described below with reference to Figure 2.
• the connectivity state predictor block 22, hereinafter called connectivity predictor 22, is adapted to, once configured as described below, predict, when carrying out the mission, changes of state connectivity of the links established by the wireless telecommunications block 26, such as breakdown of a wireless telecommunications link implemented in the mission being carried out, reduction of the bandwidth below a predefined threshold, or increase in the error rate above a predefined threshold, i.e. before these changes of state occur.
• the connectivity state predictor 22 comprises a neural network which performs the prediction based on current input data supplied to the connectivity state predictor 22.
• the exchange template predictor block 21 once configured as described below, is adapted, when carrying out the mission, to depending on input data including in particular a state of connectivity predicted by the predictor of connectivity state 22, deduce, from this predicted connectivity state related to the exchange needs of blocks 24 and 25 of the processing block 20 (indicated for example by the mission profile and/or the mission phase) , operating modes of the (functions of) sensor blocks 24 and/or trajectory calculation 25 (associated with respective exchange templates), to be applied in anticipation of a future change, then deduce one or more commands corresponding ones intended for this or these sensor blocks 24, for trajectory calculation 25 to adapt, if necessary, their operating modes so as to adapt their transmitted and/or received flows, for example for at least a predetermined time: the exchange template predictor block 21 thus predicts the exchange needs of the block 24 and of block 25 to anticipate the operating mode to be applied and thus adapt the flows emitted to the transport conditions observed or predicted.
• an operating mode brings together a set of characteristics making it possible to quantify and qualify the data flows that the application generates. An operating mode is therefore specific to an application.
• An exchange template (also called a transport template) is the counterpart of a mode of operation, from the point of view of the telecommunications network and reflects the way for the network to take this mode of operation into account. It expresses the point of view of the container, when the mode of operation expresses the point of view of the content. For example, generated data will have a lifetime (content point of view) and for the data to still be relevant upon receipt, its transport through the network must be carried out with maximum latency (container point of view).
• Each operating mode of the application is associated with one and only one network exchange template.
• the characteristics of an operating mode are used to define the characteristics of the corresponding template, via a translation. Then, based on the observed transport conditions, the network determines, for each data flow, the template to apply among those that have been predefined. Knowledge of the template then makes it possible to identify the operating mode with which it is associated. The network thus knows how to restore to the function the mode of operation that it must implement for optimal operation given the transport conditions of the moment.
• the exchange template predictor makes it possible to determine the templates that it would be relevant to respect given the network events that are anticipated, and by transitivity the operating modes to be implemented by the functions.
• the exchange template predictor 21 comprises a neural network which determines the prediction based on the current input data supplied to the exchange template predictor 21.
• Figure 2 represents a method 100 for mission planning and adaptive configuration of telecommunications implemented in the air mission in one embodiment of the invention.
• the method 100 comprises 3 phases: a mission communications preparation phase 200 which takes place before the mission, a mission execution phase 300 which takes place during the mission and a mission restitution phase 400 which takes place after the mission.
• a mission communications preparation phase 200 which takes place before the mission
• a mission execution phase 300 which takes place during the mission
• a mission restitution phase 400 which takes place after the mission.
• the configuration module 13 in the server 10 receives the mission profile as input.
• the configuration module 13 of the server 10 further determines the configuration parameters of the wireless transmission links used during the mission: allocation of frequencies for the radio links involved. It also determines the configuration parameters of the network supported by the transmission links (routing rules, QoS policies, security associations, filtering rules, etc.) as well as the configuration parameters of the communication services to be implemented to ensure exchange needs (service names, operating modes, exchange identification rules, etc.). For example, it also determines one or more elements among: the TRANSEC and COMSEC secret keys, the addresses to use (MAC and network), the parameters for implementing the waveforms, the frequency jump laws if applicable, ...
• An initial learning phase prior to step 200, made it possible to obtain the sets of sets of exchange template predictor configuration parameters and the sets of sets of connectivity predictor configuration parameters .
• training of the neural network intended for the exchange template predictor 21 was carried out for each type of mission profile.
• - recipient(s) in particular if the exchange is point-to-point or point-to-multipoint; relative priority of flows typology of exchanges (typically clear speech, encrypted speech, tactical messages, images, video, file transfers, database exchanges;
• the exchange template predictor 21 makes it possible to identify the most relevant template adjustment rules (and therefore operating modes) which will make it possible to minimize the impact of a variation in transport conditions.
• the mission begins, the aircraft successively executing the mission phases, wireless telecommunications being implemented, for example in the present case between the aircraft 30 and the control tower during the take-off phase by means of wireless links implemented by the telecommunications block 26 and subsequently on the intervention zone, between the aircraft 30 and the rolling machine 70.
• the set 300 of steps comprising steps 301 to 307, is implemented.
• the control block 23 evaluates: the current mission conditions; as seen previously, they include at least some of the following data: weather data, current position and attitude of the aircraft, trajectory followed (turn, climb, descent), speed of the aircraft, acceleration, relief (terrain model), heading, friendly positions and enemy threats, electromagnetic environment including jamming) and
• This evaluation is carried out as a function of obtaining, by the control block 23, measurements carried out in the aircraft 30 and where appropriate carried out in the platforms in connection with the aircraft 30 and then transmitted to the latter (internal network signaling complements local measurements, local evaluation is however not conditional on reception of network signaling and takes place in all cases with a variable level of precision).
• the data indicating the current mission conditions and the data relating to the connectivity considered at a time Ti evaluated are transmitted to the connectivity state predictor 22.
• a connectivity anticipation step 302 based on this transmitted data and furthermore on the indication of the current mission phase that it receives as input, the connectivity predictor 22 determines the connectivity state future, in a time window of duration AT starting at Ti, of the wireless links involved in the mission: for example, the connectivity state of link 51, in the theater phase.
• predicted connectivity states indicate for example, for each wireless telecommunications link involved in the mission, the value (or selectively indicates a sub-range of values in which this value is found, within a range of values comprising several sub-ranges -ranges) of one or more of its transmission characteristics: bandwidth, error rate, latency, jitter.
• step 303 which is for example parallel to step 301 all the data indicating, at time Ti, the current mission conditions and the connectivity data considered in step 301 as well as the all of the data characterizing the exchanges at time Ti (volume of exchanges (volume of data exchanged, flow rate used, duration of exchanges, etc.), relative priority of flows, typology of exchanges, etc.), are stored by the control block 23 in a memory of the processing module 20.
• the exchange template predictor 21 receives as input the current mission phase indication and the future connectivity state predicted by the predictor 22 in step 302 (and optionally the types and characteristics of the exchanges observed at time T). Then depending on this current mission phase and furthermore depending on the predicted connectivity state, the exchange template predictor 21 predicts the rules for adjusting the exchanges (in the duration window AT' starting at Ti) , in particular the operating modes of the sensor blocks 24 and/or trajectory calculation 25.
• the exchange template predictor 21 or the control block 23 determines, where appropriate, notifications intended for a block or blocks among the blocks sensors 24 and/or trajectory calculation 25, when their respective predicted operating mode differs from their current operating mode, to switch them to their predicted mode, and thus adapt the flows emitted by the aircraft.
• each of the blocks receiving such a notification switches from its current operating mode to the predicted operating mode.
• the exchange predictor block 21 or the control block 23 determines for example that it would be appropriate for a video sensor to switch to its degraded operating mode 1, a notification then being transmitted in this direction to the video sensor; if the predicted connectivity state is a drop in bandwidth below the second predefined threshold and above a third predefined threshold, the exchange predictor block 21 or the control block 23 determines that it would be suitable for a sensor video to switch into its degraded mode 2, a notification then being transmitted to this effect to the video sensor (or that it would be appropriate to switch another application from its nominal operating mode into its degraded mode 1) etc. Conversely, if the predicted connectivity state is an increase in bandwidth, the opposite changes are notified. Hysteresis mechanisms are also implemented to maintain a certain stability.
• the predictor block 21 provides the operating modes to be applied, in particular to the sensors to minimize the impact of variations in the available resources.
• Each sensor will thus anticipate a future reduction in resources: for example will prepare a buffer with compressed files (image/video/other sensors) with the quality adapted to the transmission mode to be applied from now on or will reduce its transmission frequency...
• the sensor can buffer the data it produces while communication is reestablished. It can then release the stored data according to the operating mode which will be active when communication returns. Switching to a degraded operating mode may be accompanied by a change in encoding to reduce the throughput or to accommodate higher latency, filtering of the data exchanged to reduce the throughput, a filtering of a certain type of information to be compatible with an exchange on a civil network (as opposed to a heritage network).
• a trajectory adaptation step 306 (for example parallel to step 304 or 305), the control block 23, depending on the connectivity state predicted in step 302, determines a trajectory adaptation of the airplane 30.
• an adaptation to maintain satisfactory transport conditions is to escape from a masking zone linked to the terrain for example; another adaptation is to bypass an enemy so as not to be detected because of the transmissions implemented in the mission. It is then a matter of providing the avionics system with elements enabling it to modify the trajectory of the aircraft.
• the control block 23, depending on the connectivity state predicted in step 302 adapts the wireless telecommunications links involved in the mission: for example, to avoid a loss (or drop) of connectivity predicted in the connectivity state and relating to the link 51, flows which must pass normally on the radio link 51 are redirected, depending on their relative priority, to a satellite link implemented by the transmission block 26 of the aircraft 30; or the frequency used (or any other transmission resource) to implement the radio link 51 is modified; or else an adaptation of the network topology by the control block is carried out by creating a new wireless link (for example, the plane 86 is then sent close to the plane 30 to serve as a wireless telecommunications relay, for example the implementation of a wireless link 52 with the aircraft 30, to compensate for a predicted break on the link 51).
• a new wireless link for example, the plane 86 is then sent close to the plane 30 to serve as a wireless telecommunications relay, for example the implementation of a wireless link 52 with the aircraft 30, to compensate for a predicted break on the link 51.
• each mission phase also imply respective maximum distances to ensure transmission, the mission platforms will be positioned in such a way as to respect these distances, and therefore to ensure a certain topology of the aircraft network. during the respective phase of the mission.
• These topologies vary from one phase of the mission to another, the planes will have to be controlled to follow their main mission but also to ensure this connectivity.
• Steps 304, 305, 306, 307 are implemented in one embodiment also depending on at least one level of QoS desired in the operation in the mission therefore impacting the telecommunications implemented wirelessly, and more generally the functions performed in the aircraft (including aircraft 30) and involved in these mission telecommunications.
• the invention by combining connectivity state prediction and exchange prediction, anticipates connectivity variations with a view to maintaining the overall QoS of the system per mission phase and jointly anticipates resource allocations and adaptations. of operating modes, before transmission losses occur.
• the invention makes it possible to anticipate variations in connectivity and the need for exchanges (configuration of network parameters and source and channel transmission modes, anticipation of changes in topology and link states, evaluation of the needs of 'exchanges, trajectory prediction) during these mission phases and make the necessary adaptations to maintain connectivity, based on these predictions, during the mission. It makes it possible to ensure exchanges as best as possible, to reduce communication losses (by implementing alternative solutions in advance to maintain communication in the event of loss of communication). connection), to better manage transmission resources, to reduce switching times between two configurations and to be more resilient to the various hazards of the mission.
• the invention concerns the dynamic configuration of a core telecommunications network made up of, for example, heterogeneous transmission means (V/UHF links, high-speed C/K/Ku band links, GEO/MEO/satellite link). LEO, ...) and offers a data-centric network management solution (collection of mission data, use of this off-line data to feed the learning of predictors, determination of the parameters of the predictors for future missions, anticipation of connectivity changes using predictors, self-adaptation of the network to maximize its level of service, storage of mission data).
• V/UHF links high-speed C/K/Ku band links
• GEO/MEO/satellite link GEO/MEO/satellite link.
• the present invention proposes a dynamic configuration of a communication network between aircraft (or other mobile platforms) as a function of mission data (weather, terrain, electromagnetic environment, cyber threats, attitude of the platform, etc.) and to adapt exchange flows by network feedback on applications.
• mission data weather, terrain, electromagnetic environment, cyber threats, attitude of the platform, etc.
• the data to be exchanged depends on the mission phase and the requests of the aircraft on mission (in the example presented, aircraft 30 in particular) and other aircraft/platforms; in fact, there is a “dynamic” component which corresponds to what other aircraft/platforms will request, for example in terms of QoS which will have an impact on the volume of data to be exchanged.
• a first prediction function takes for example at least some of the information from the weather information along the trajectory followed by the mobile machine, the topography of the terrain flown over, the speed of the mobile machine and its attitude on the 3 axes, the type and position of enemy platforms, the position of friendly platforms, the electromagnetic environment of the area of operation, etc., and produces a prediction of the available telecommunications routes and their technical characteristics (bandwidth , latency, error rate, spatial and temporal stability) characterizing the state of the corresponding communication links.
• the processing block is adapted to then deduce the configuration parameters of the transmission means according to these predictions of available routes and predictions of link states, ie the processing block thus determines the parameters of the transmission means most suited to the predicted future state of the network.
• transmission parameters include the RF frequency of the transmission and/or the modulation used by the waveform and/or the error correction algorithm and/or the size of the inter-slot steps for a waveform.
• TDMA and/or any other parameter having an impact on the maintenance (even in a degraded mode) of communications during the mission phase. These parameters allow you to influence bandwidth, range, jamming resistance, etc. transmission links.
• the purpose here is to adapt to future network topology variations by deducing the configuration parameters of the transmission means most suited to this predicted future state (of network topology), and to apply these parameters in the time window corresponding to the prediction period.
• a second prediction function takes for example the mission phase (transit, surveillance, combat, etc.) and produces a prediction of the types of exchanges from the mobile vehicle to the other platforms (voice, images, video , formatted data, raw data, etc.), a prediction of exchange modes (point-to-point, point-to-multipoint, with acknowledgment of receipt or not, etc.), respective priorities and volumes corresponding.
• the purpose is to anticipate the types of flows to be routed in the network.
• the solution proposes one or more adaptation mechanisms: adaptation of the transmission modes (bandwidth, power, range, resistance to jamming, etc.), adaptation of the routing of already active flows (switching of means of transmission for example), adaptation of trajectories, adaptation of exchanges (change of format, temporary storage, periodicity, etc.). ..).
• adaptation of the transmission modes bandwidth, power, range, resistance to jamming, etc.
• adaptation of the routing of already active flows switching of means of transmission for example
• adaptation of trajectories adaptation of exchanges (change of format, temporary storage, periodicity, etc.). ..).
• the invention has been described above with reference to aerial missions using in particular an airplane, it is of course applicable to aerial missions relating to any type of flying machine (airplane, helicopter, drone, etc. .) and to a coordinated set of devices, some mobile or not, comprising means of wireless transmission. More generally, the invention is also applicable to collaborative tactical missions in environments other than the air environment, for example the naval environment or the land environment.
• the invention has been described above in an embodiment using Machine Learning techniques to define the predictors 21, 22, by learning from mission data or data obtained in simulation
• the predictions are determined by deterministic functions (rules) resulting from known models implemented by the predictors 21, 22.
• a set of configuration parameters for each predictor in another embodiment, each connectivity, respectively exchange, predictor is selected from several connectivity, respectively exchange, predictors, depending on the mission profile.

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• 2022
  • 2022-09-08 FR FR2208990A patent/FR3139688B1/fr active Active
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