RU2405265C2 - Adaptation method of radio communication channels by using artificial intellect and device for its implementation - Google Patents

Abstract

FIELD: radio engineering.

SUBSTANCE: adaptation method of radio communication channel by using artificial intellect consists in periodic measurement of quality of radio communication channels and its comparison to allowable level, exchange with counterpartner of data on new adaptation parametres and transition at the specified time to new adaptation parametres. At that, for adaptation of radio communication channel there used is artificial intellect system intended for accumulation of experience of successful operation of radio communication channel and its use for further adaptation.

EFFECT: increasing availability and security of radio communication channel at simultaneous improvement of electromagnetic compatibility conditions.

2 cl, 1 dwg, 2 tbl

Description

The invention relates to the field of electro-radio engineering, and in particular to methods and systems for adapting radio channels and controlling data transmission parameters using artificial intelligence, and can be used in shipboard communication complexes and at stationary communication centers.

The method and device for adapting radio channels using artificial intelligence are designed to increase the availability and quality of communication channels in a changing electromagnetic environment.

Known methods for adapting radio channels to a changing electromagnetic environment and propagation conditions of radio waves: see, for example, a method for transmitting discrete messages with multi-parameter adaptation [1], a method for frequency adaptation of a radio channel [2].

In the method of transmitting discrete messages with multi-parameter adaptation [1], the initial exchange of messages between correspondents is carried out using codes with the greatest correcting ability, special test sequences of data are transmitted in specially allotted or free from the transmission of main messages time intervals, the reception of test messages is analyzed, according to their results analysis and taking into account other data on the state of the radio channel, select the code and parameters of the interleaving of signals and transmit t correspondent codes and parameters of interleaving signals. In this method, the accumulation of experience using the communication channel is not carried out. Adaptation is carried out in automatic mode continuously, while it takes time to transmit test sequences, obtain data on the state of the radio communication channel, which leads to a decrease in the availability factor of the communication channel.

The method of frequency adaptation of a radio communication channel [2] provides for assessing the quality of radio communication at the receiving side, analyzing the quality of radio communication at the operating and standby frequencies, deciding to change the parameters of the radio channel while reducing the quality of communication below the required level, exchanging control commands with the correspondent to change the adaptation parameters, the quality of which can be the operating frequency, the speed of information transfer, the type of radio signal, the power of the radio transmitter, etc. In this method, the accumulation of experience and the use of the communication channel. To analyze the quality of the radio communication channel at standby frequencies, periodic sounding of the radio communication channel is required, which leads to a decrease in the availability factor of the communication channel and the deterioration of the electromagnetic compatibility of the radio facilities at the object from which the sounding is performed.

Closest to the claimed method are frequency adaptation methods described in the book. Komarovich V.F. and Sosunova V.N. “Random interference and reliability of KB communication” [3], pp. 92-125. In this book, 3 variants of the method of frequency adaptation of communication channels are described, which differ in the algorithms for selecting the operating frequencies. In the known method, the operating frequency is selected to the maximum of exceeding the signal / noise levels at the input of the receiver, and information is received at the selected frequency until the channel quality (reliability of the information) remains above a predetermined required level. The prototype method consists of sequentially performing the adaptation of the following operations by the equipment:

1) continuous quality control of the working reception channel;

2) sensing the communication channel and determining the levels of signals and interference at the input of the receiver on a group of controlled frequencies in the operating range;

3) selection according to a special algorithm of the new available or “best” frequency in the event of a decrease in the quality of the communication channel below the permissible;

4) exchange with the correspondent of new frequencies;

5) transfer to a new frequency of radio facilities of correspondents.

The prototype method, like well-known adaptation methods, has the following disadvantages: the list of operations includes periodic, quite frequent sounding of the radio communication channel (path) in the operating frequency range on the group of allowed frequencies, which leads, firstly, to a significant reduction in stealth and disclosure of the organizational parameters of the radio communication network, and secondly, to a significant deterioration in the electromagnetic compatibility of radio communications at the facility from which sounding of radio paths is carried out. At the same time, the previous experience of the functioning of adaptive radio channels is not taken into account. The propagation conditions of the radio waves and the parameters of the electromagnetic environment can be repeated during the operation of the radio channel, therefore, the adaptation parameters of the radio channel will be repeated, providing the required quality of communication. Therefore, it is possible to accumulate data on the adaptation parameters of the radio communication channel in certain environmental conditions and to further use this data to select the best adaptation parameters, eliminating the periodic procedure for sensing the radio communication channel, which has negative consequences: a decrease in stealth and disclosure of the organizational parameters of the radio communication network, and also a significant deterioration in the electromagnetic compatibility of radio communications at the facility. In addition, with the exception of the sounding procedure, the time for selecting the parameters of the radio communication channel is reduced, and therefore, its availability coefficient increases.

Known adaptive information transfer systems that implement known adaptation methods:

1) Automated adaptive data and speech transmission system for KB radio channels “Pirs”, described in the article “Modern data transmission systems for KB radio channels” by authors Kaplin EA, Lebedinsky EV, Egorova VV in the journal "Telecommunications", No. 7, 2003, p. 47-48 [4].

2) Frequency-adaptive radio link described in the article "Adaptive radio communication in communication systems for special purposes" authors Antonyuk L.Ya., Semisoshenko MA in the journal "Telecommunication" No. 5, 2007.

3) An automated complex of technical means for adaptive decameter radio links described in [5] - Vestnik SONI-IR, No. 1 (11), 2006, pp. 27-32.

Closest to the claimed device is an automated complex of technical means for adaptive decameter radio links [5]. The complex consists of a serially connected control electronic computer with special adaptation mode software, a signal conversion device, an exciter, a power amplifier, an antenna matching device and a transmitting antenna, as well as a serially connected receiving antenna, an antenna switch, and a receiver, the output of which is connected to an analog the input of the signal conversion device, the output of which is in turn connected to the input of the terminal switch equipment, when th control outputs of the control of a computer connected to the control inputs of the receiver, the pathogen, the power amplifier and antenna matching device switch terminal equipment. The control computer automatically controls all the technical means included in the complex, using special software. The signal conversion device is based on a digital signal processing processor and provides encoding-decoding, modulation-demodulation, synchronization and quality control of the radio channel based on the determination of errors in the reception of test messages. The receiving channel of a radio communication channel consists of a series-connected receiving antenna, an antenna switch, a receiver, a signal conversion device, and a terminal switch. The transmission path consists of a series-connected signal conversion device, a pathogen, a power amplifier, an antenna matching device and a transmitting antenna. The receiving and transmitting paths are used sequentially for sensing the radio channel and for communicating in adaptation mode.

The disadvantage of both analogues and the prototype is the need to implement a sensing mode of the communication path, as a result of which the secrecy of the radio channel is deteriorated, because the allowed frequencies of the radio communication channel on which sounding is performed are revealed, the time for selecting adaptation parameters is increased, since it also includes the time of sounding of the radio communication path, as well as the conditions of electromagnetic compatibility of the facility’s radio communications are deteriorating.

The aim of the invention is to increase the availability and secrecy of the radio channel while improving the conditions for electromagnetic compatibility of radio facilities in the facility.

This goal is achieved by the fact that in the known method of adaptation of radio channels, including periodic monitoring of the quality of the radio channel, probing the radio channel on a group of allowed frequencies in the operating range in order to determine signal levels and interference at the input of the receiver, selecting new adaptation parameters while reducing the quality of the radio channel below acceptable, exchange with the correspondent data on new adaptation parameters and the transition of the radio channel at a given time to new adaptation parameters, a system has been introduced skusstvennogo intelligence providing the accumulation of data on the experience of using the radio channel and applying the data in the radio link adaptation. The proposed method for adapting radio communication channels using artificial intelligence includes a self-learning phase and an adaptation phase with ongoing self-learning, while the following operations are additionally introduced at the self-learning stage: monitoring of environmental data, monitoring of adaptation parameters, accumulation of data on the length of time of successful operation of the radio communication channel for each combination “A data set of the external environment - a set of adaptation parameters” and the formation of a matrix of priorities for sets of hell parameters at the adaptation stage with continuing self-learning, the following operations were additionally introduced: the exclusion of the sounding mode of the radio channel on the group of allowed frequencies in the operating range, the monitoring of environmental data, the monitoring of adaptation parameters, the continued accumulation of data on the length of time of successful operation of the radio channel for each combination data set of the external environment - a set of adaptation parameters ”, updating the matrix of priorities for sets of adaptation parameters and with a decrease in the quality of diochannel below the permissible, the issuance of new adaptation parameters based on the use of the priority matrix.

This goal is achieved by the fact that in the known device for adapting radio channels, consisting of a series-connected control electronic computer with special adaptation mode software, a signal conversion device, a pathogen, a power amplifier, an antenna matching device and a transmitting antenna, as well as a receiving antenna connected in series antenna, antenna switch and receiver, the output of which is connected to the analog input of the signal conversion device, output One of which, in turn, is connected to the input of the terminal switch of the equipment, while the control outputs of the control electronic computer are connected to the control inputs of the receiver, exciter, power amplifier, antenna matching device and switch of the terminal equipment, an electromagnetic control unit, the input of which is connected, is additionally introduced with one of the outputs of the antenna switch, and an artificial intelligence system as part of the control electronic computer, consisting of a database of the external environment, a database of adaptation parameters, a priority matrix and special software for self-training and determination of new adaptation parameters, while the digital output of the electromagnetic environment monitoring unit is connected to the first input of the external environment database, the second and third inputs of which provide data from a single time system and an object-wide information exchange system, the output of the external environment database is connected to the first input of the priority matrix, the database input is param adaptation trench connected to the output of the special software adaptation, and the output data adaptation parameters base connected to the second input of priorities matrix.

The method of adaptation of radio channels using artificial intelligence is as follows.

We denote the parameters of the external environment in which the radio communication channel operates, in the form of a multidimensional vector

Y = {t _c , t _cez , K _o , K _k , MO _α , CKO _α } = [HBO},

where t _s , t _ses - time of day and season of the year, respectively;

K _o , K _k - the coordinates of your object and the coordinates of the correspondent;

MO _α , CKO _α - mathematical expectation and standard deviation of the signal-to-noise ratio at the receiver input at the operating frequency;

{HBO} - a set of parameters of the external environment.

The listed parameters characterize the propagation conditions of radio waves and the electromagnetic environment at the facility. We will call these parameters the parameters of the external environment in which the radio communication channel operates.

The parameters of the external environment can be monitored with a certain frequency in time, for example, every 15 minutes, 30 minutes or 1 hour.

Known adaptation programs determine the adaptation parameters of communication channels depending on the parameters of the external environment. The adaptation parameters may include: the working frequency of the radio channel, the power of the radio transmitter, the speed of information transfer, the type (redundancy) of signal coding, the transmitting and receiving antennas. We denote the vector of adaptation parameters as a multidimensional vector

X = {f _p , P _prd , V _inf , KK _s , A _prd , A _prm } = {HA},

where f _p is the operating frequency of the radio channel;

P _prd - the power of the radio transmitter;

V _inf - information transfer rate;

KK _with - type (redundancy) of signal coding;

A _prd - the number of the transmitting antenna;

A _prm is the number of the receiving antenna;

{HA} - a set of adaptation parameters.

The range of possible values of each environmental parameter and adaptation parameter can be divided into a number of discrete intervals, and the value of each parameter will be set in steps equal to the value of the discrete interval. For example, the time of day can be set in increments of 1 or 2 hours, the coordinates of the object and the correspondent in increments of 1-2 °, etc. Then the number of parameter sets has a limited countable number, which can be operated on a computer. For example, in the simplest case, adaptation can be carried out only in frequency (frequency adaptation of the radio channel), in this case, the number of adaptation parameters is equal to the number of frequencies allocated for the radio channel and is estimated from units to several tens of radio frequencies. The number of sets of environmental parameters is much larger and may amount to several hundred options, however, for modern computer technology this is not a problem.

At the self-learning stage, in the process of functioning of the adaptive radio channel, the environmental parameters are monitored and the adaptation parameters are monitored. Next, a matrix is constructed (see Table 1), the columns of which are sets of adaptation parameters, and the rows are sets of environmental parameters. Each combination “a set of environmental parameters - a set of adaptation parameters” (denoted by Y _i ⇔X _j or {HBO} ⇔ {HA)} corresponds to a matrix cell in which the channel’s successful operation time is accumulated with this combination. Successful operation of a channel refers to the operation of a radio communication channel with quality not worse than the specified one. Thus, the experience of the adaptive radio communication channel is accumulated.

Table 1 A set of environmental parameters Adaptation Parameter Set X ₁ X ₂ X ₃ Y ₁ t _∑ (Y ₁ , X ₂ ) + Δt t _∑ (Y ₁ , X ₃ ) + Δt Y ₂ t _∑ (Y ₂ , X ₂ ) + Δt Y ₃ t _∑ (Y ₃ , X ₁ ) + Δt t _∑ (Y ₃ , X ₃ ) + Δt ... Y _i t _∑ (Y _i , X ₃ ) + Δt Y _{i + 1} t _∑ (Y _{i + 1} , X ₁ ) + Δt ... Y _i t _∑ (Y _I , X ₁ ) + Δt t _∑ (Y _I , X ₂ ) + Δt

Changing the adaptation parameters of a radio communication channel is carried out infrequently: the channel can operate on the selected adaptation parameters for several hours if the electromagnetic environment is sufficiently stable. Monitoring the parameters of the external environment should be carried out more often with a certain discrete in time Δt. Then, at each data input on environmental parameters, the time Δt will be added in the corresponding cell of Table 1.

During the operation of the radio channel, sets of environmental parameters and, accordingly, sets of adaptation parameters can be repeated, while the time of successful operation of the radio channel will increase with certain combinations of “a set of environmental parameters - a set of adaptation parameters”.

After the expiration of the self-study time, the duration of which can be several days, the data on the duration of the successful operation of the radio communication channel for various combinations of Y _i ⇔X _{j will} accumulate in Table 1.

Based on these data, a priority matrix is constructed that is similar to the time matrix for the successful operation of the radio channel. To obtain priority values, data on the time of successful operation of the radio channel is ranked line by line. Priority No. 1 will correspond to the longest time of successful work, and the last priority in the line to least time. The form of the priority matrix is given in Table 2.

table 2 A set of environmental parameters Adaptation Parameter Set X ₁ X ₂ X ₃ Y ₁ P ₂ N ₁ Y ₂ N ₁ Y ₃ N ₁ P ₂ ... Y _i N ₁ Y _{i + 1} N ₁ ... Y _i N ₁ P ₂

After the time of self-training, the communication channel is adapted using the priority table as follows.

- continuous quality control of the working reception channel is carried out;

- the environmental parameters Y _i are monitored with a time step Δt;

- the adaptation parameters X _j are controlled;

- continues to accumulate data on the time of successful operation of the radio channel for each combination Y _i ⇔X _j ;

- adjustment of the priority table continues;

- if the quality control data of the radio communication channel showed a decrease in quality below acceptable, then according to the priority table for the current set of environmental parameters Y _i selects the set of adaptation parameters X _j with the highest priority;

- exchange with the correspondent of new adaptation parameters;

- at the agreed time, the transfer to new parameters of the adaptation of the radio means of correspondents is carried out.

As can be seen from the above description, the sounding procedure of the radio channel is excluded. As the results of modeling a new method for adapting a communication channel using artificial intelligence have shown, with the exception of the sounding procedure at the facility, the EMC factor for radio communications is increased by 10-15%, the idle time of the radio channel associated with the selection of new adaptation parameters based on sensing data is 4 -5 minutes, and when using the priority table is a fraction of a second.

The procedure for sensing a radio communication path is not completely excluded, it is carried out only sporadically: at the stage of self-training and in the process of functioning of the radio communication channel, when a new, previously unused set of environmental data appears.

Figure 1 shows a block diagram of a device for adapting radio channels using artificial intelligence. It consists of the following elements:

1 - control electronic computer;

2 - signal conversion device with quality control of the radio channel;

3 - pathogen;

4 - power amplifier;

5 - antenna matching device;

6 - transmitting antenna;

7 - receiving antenna;

8 - antenna switch;

9 - receiver;

10 - terminal switch equipment;

11-unit for monitoring the electromagnetic environment (EMO);

12 - artificial intelligence system (SII);

13 - database of the external environment;

14 - database of adaptation parameters;

15 - matrix of priorities;

16 - special software for self-training and determination of new adaptation parameters;

17 - special software for adaptation of the radio channel.

The host computer 1 automatically controls all the technical means included in the complex using special adaptation software 17. The signal conversion device 2 is based on a digital signal processor and provides encoding - decoding, modulation - demodulation, synchronization, and channel quality control radio communications based on the determination of errors when receiving test messages. The receiving channel of the radio communication channel consists of a series-connected receiving antenna 7, an antenna switch 8, a receiver 9, a signal conversion device 2 and a switch of the terminal equipment 10. The transmitting path consists of a series-connected signal conversion device 2, a driver 3, a power amplifier 4, an antenna matching device 5 and the transmitting antenna 6. The receiving and transmitting paths are used sequentially for sounding the radio channel and for communicating in adaptation mode. The electromagnetic environment control unit 11 [6] is designed to measure signal levels and interference at the input of the receiver 9 and determine the current values of the signal-to-noise ratio α and statistical characteristics of the signal-to-noise ratio: mathematical expectation MO _α and standard deviation CKO _α . The parameters MO _α and CKO _α determine the parameters of the external electromagnetic environment in which the radio channel operates. Other parameters of the external environment are:

t _s , t _ses - time of day and season of the year, respectively;

K _about , K _k - the coordinates of his object and the coordinates of the correspondent.

The environmental parameters can be denoted in the form of a multidimensional vector Y = {t _c , t _ses , K _o , K _k , MO _α , CKO _α } = {HBO},

where {HBO} - a set of parameters of the external environment.

The artificial intelligence system (SII) 12 consists of a database of the external environment 13, a database of adaptation parameters 14, a matrix of priorities 15 and special software for self-training and determination of new adaptation parameters 16. The digital output of the electromagnetic environment monitoring unit 11 is connected to the first input of the database external environment 13, and the second and third inputs of the database of external environment 13 are fed with data on the current operating time of the device from the single time system and data on the coordinates of the object and a donor from a general object information exchange system (SDI). The code for the set of environmental parameters is fed to the first input of the priority matrix. The input of the database of adaptation parameters 14 is connected to the output of special adaptation software 17 of the control computer 1 and data on adaptation parameters is supplied to it as they change. From the output of the adaptation parameter database 14, the data set codes for adaptation parameters are supplied to the second input of the priority matrix 15. Priority matrix 15 consists of two parts - two tables: the first table accumulates data on the time of successful operation of the radio channel with each combination of “external parameter set environment - a set of adaptation parameters ”, the second table, which is automatically obtained based on the first table, displays the priorities in the sets of adaptation parameters for each set of parameters of the external tanovki.

The device has two stages:

- stage of self-education;

- adaptation stage with ongoing training.

The device operates as follows.

At the self-learning stage, in the process of functioning of the adaptive radio channel, the environmental parameters are monitored and the adaptation parameters are monitored. The data on the parameters of the electromagnetic environment (EMO) from the output of the EMO 11 monitoring unit: МO _α and CKO _α , data on the current time t _c from the output of the SEB and data from the general object exchange system are received at the input of the database according to the parameters of the external environment information on the season of the year t _season , the coordinates of the object K _about and the correspondent K _k . The listed data are formed into a data set of the external environment and also with a time step Δt enter the first input of table 1 of the priority matrix 15.

The input of the database of adaptation parameters 14 receives data on the adaptation parameters of the radio channel as they change. From the output of the database of adaptation parameters, the code of the set of adaptation parameters goes to the second input of table 1 of the priority matrix 15. When data codes arrive at both inputs of table 1, the cell corresponding to the current combination of parameter sets Y _i ⇔X _{j is} activated. This means that at the given moment the environmental parameters Y _i are observed, and the radio channel successfully operates on a set of adaptation parameters X _j . The time Δt is added to the activated cell. After the time of self-training in all activated cells of Table 1, the time of successful operation of the radio communication channel will accumulate. Thus, the experience of the adaptive radio communication channel is accumulated.

Based on these data, a priority matrix is constructed that is similar to the time matrix for the successful operation of the radio channel. To obtain priority values, data on the time of successful operation of the radio channel is ranked line by line. Priority No. 1 will correspond to the longest time of successful work, and the last priority in the line to least time.

The form of the priority matrix is given in Table 2.

After the time for self-training, the communication channel is adapted using the priority table 15 as follows:

- continuous monitoring of the quality of the working channel of reception in the signal conversion device 2;

- the environmental parameters Y _i are monitored with a time step Δ _t ;

- adaptation parameters X _j are controlled;

- the accumulation of data on the time of successful operation of the radio channel for each combination Y _i ⇔X _j in table 1 of the priority matrix 15 continues;

- the adjustment of the priority table 15 continues;

- if the quality control data of the radio communication channel showed a decrease in quality below acceptable, then according to the priority table 15 for the current set of environmental parameters Y _i selects the set of adaptation parameters X _j with the highest priority;

- exchange with the correspondent of new adaptation parameters;

- at the agreed time, the transfer to new parameters of the adaptation of the radio means of correspondents is carried out.

As can be seen from the above description, the sounding procedure of the radio channel is excluded. As the results of modeling a new method for adapting a communication channel using artificial intelligence have shown, with the exception of the sounding procedure at the facility, the EMC factor for radio communications is increased by 10-15%, the idle time of the radio channel associated with the selection of new adaptation parameters based on sensing data is 4 -5 minutes, and when using the priority table is a fraction of a second.

Information sources

1. Yaroshevich B.N., Kulbida V.A. A method of transmitting discrete messages with multi-parameter adaptation. RF patent No. 2300843, publ. 06/10/2007.

2. Antonyuk L.Ya., Semisoshenko M.A. Adaptive radio communication in communication systems for special purposes. Telecommunications, No. 5, 2007.

3. Komarovich V.F., Sosunov V.N. Random radio interference and radio reliability. M .: "Communication", 1977.

4. Kaplin E.A., Lebedinsky E.V., Egorov V.V. Modern data transmission systems for KB radio channels. Telecommunications, No. 7, 2003.

5. Buzov A.L., Eliseev S.N., Kolchugin Yu.I., Minkin M.A., Sukharev A.S. Automated complex of technical equipment for adaptive radio links DKMV. Vestnik SONIIR, No. 1 (11), 2006.

6. Katanovich A.A., Pashkevich L.A., Ivanov A.M. and others. Automated complex control of the electromagnetic environment. RF patent for PM No. 68214, publ. 11/10/2007.

Claims (2)

1. A method of adapting a radio channel using artificial intelligence, including periodically measuring the quality of the radio channel and comparing it with an acceptable level, as well as operations that are performed sequentially in time: exchanging data with the correspondent about new adaptation parameters and switching the radio channel at new time to new parameters adaptation, characterized in that it additionally introduced artificial intelligence functions designed to accumulate experience in the successful operation of the radio channel and using it for subsequent adaptation, which consists in sequential execution after measuring the quality of the radio communication channel and comparing it with an acceptable level of the following operations: monitoring environmental data, monitoring adaptation parameters, accumulating data on the length of time of successful operation of the radio communication channel for each combination “environmental data set” - a set of adaptation parameters ”, the formation and adjustment of the matrix of priorities for sets of adaptation parameters and the decision to choose new adaptation parameters from the priority matrix if the quality of the radio channel has dropped below an acceptable level, after which data on the new adaptation parameters are exchanged with the correspondent and the radio channel is transferred to the new adaptation parameters at a specified time, however, if the quality of the radio channel is lower than acceptable in the priority matrix there are no (not accumulated) data on adaptation parameters for the current set of environmental data, then after measuring the quality of the radio channel and comparing it with additional The following operations are performed sequentially by the stimulating level: sensing the radio channel on the group of allowed frequencies, measuring the quality of the radio channel and comparing it with the acceptable level on the group of allowed frequencies, selecting new adaptation parameters according to the well-known algorithm, and then exchanging data with the correspondent about new adaptation parameters and the transition of the radio channel at a given time to the new adaptation parameters. 2. The adaptation of the radio channel using artificial intelligence for implementing the method according to claim 1, containing a series-connected control electronic computer with known adaptation mode software, a signal conversion device, a driver, a power amplifier, an antenna matching device and a transmitting antenna, and also connected in series to the receiving antenna, antenna switch and receiver, the output of which is connected to the analog input of the device is converted signal, the output of which is in turn connected to the input of the terminal switch of the equipment, while the control outputs of the control electronic computer are connected to the control inputs of the receiver, pathogen, power amplifier, antenna matching device and switch of the terminal equipment, characterized in that an electromagnetic environment control unit, the input of which is connected to one of the outputs of the antenna switch, and an artificial intelligence system as part of the control electronic It consists of a database of the external environment, a database of adaptation parameters, a priority matrix and special software for determining new adaptation parameters, while the digital output of the electromagnetic environment monitoring unit is connected to the first input of the artificial intelligence system, to the second and third inputs of which accordingly, signals of uniform time and signals with the coordinates of correspondents in a radio communication channel, with special software generating and correction with a discrete time step of the database of the external environment, including the following data: indicators of the quality of communication in the radio channel, the current time of day of the device’s operation, the coordinates of the correspondents, the database of adaptation parameters, which includes the following parameters: operating frequency of the transmitter, information transfer rate, type of modulation and coding of the useful signal and the priority matrix, which is a table in each row of which for the corresponding set of environmental parameters is given us priorities for all sets of adaptation options, as well as deciding on the choice of the new adaptation of the parameters with the highest priority of the priorities of the matrix, if the quality of the radio channel, the measured electromagnetic environment monitoring unit and entered into the database of the external environment of artificial intelligence system, is lower than the permissible level.