CN115623595A

CN115623595A - Transmission slot configuration method, beam tracking method, electronic device, and storage medium

Info

Publication number: CN115623595A
Application number: CN202211371036.1A
Authority: CN
Inventors: 徐瑨; 周颖; 盛禹翔; 唐宇冲; 陶小峰
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2022-11-03
Filing date: 2022-11-03
Publication date: 2023-01-17
Also published as: WO2024093080A1

Abstract

The invention relates to the technical field of wireless communication, and provides a transmission time slot configuration method, a beam tracking method, electronic equipment and a storage medium.

Description

Transmission slot configuration method, beam tracking method, electronic device, and storage medium

Technical Field

The present invention relates to the field of wireless communication technologies, and in particular, to a transmission timeslot configuration method, a beam tracking method, an electronic device, and a storage medium.

Background

In current mobile communication systems, the data traffic demand of users shows a trend of sharp increase, which puts higher demands on system capacity and spectral efficiency. High-frequency band communication represented by millimeter waves has abundant spectrum resources, and can meet the increasing communication demand, and is regarded as one of the key technologies of 5G. However, millimeter waves have the characteristics of high carrier frequency, short wavelength and the like, and signals are seriously attenuated in the transmission process, which often results in large path loss, so that the millimeter waves are usually combined with a large-scale multi-antenna (Massive MIMO) technology to be applied, and a large number of antennas are deployed at the base station side to form beams with more number and better (narrower) directivity, thereby compensating for the path loss and improving the coverage distance and the system capacity of the base station.

Compared with the traditional multi-antenna technology, the Massive MIMO system based on millimeter waves has more beams with narrower width, and faces new challenges in effective management of multiple beams. The beam tracking is one of the key problems in beam management, and has an important role in improving system performance because it can effectively exert the advantages of a large-scale multi-antenna technology, and thus is always recognized as a research hotspot in a millimeter wave Massive MIMO system.

The beam tracking methods in the existing multi-antenna systems can be roughly classified into the following categories: firstly, carrying out beam tracking based on training signals, wherein a base station side sends a plurality of known training signals to a user, the user side carries out downlink channel estimation based on the received training signals and feeds back downlink channel state information to the base station, and the base station calculates corresponding downlink beam forming vectors according to the received downlink channel state information, so that beams pointing to the user are formed, and the purpose of beam tracking is achieved; and secondly, carrying out beam tracking based on position prediction, wherein in the method, the position coordinates of a user are estimated and predicted by positioning related reference signals, and a corresponding beam forming direction is obtained based on the geometric position relation between a base station and the user, so that beam tracking is realized.

However, the above methods all have certain limitations when applied to the millimeter wave massive MIMO system, and after a beam is narrowed, when a beam is tracked for a user in a mobile state, the beam is more likely to be misaligned, which causes a decrease in system performance, so that the frequency of beam tracking is usually increased on the basis of the existing method to ensure the transmission performance of the system. In an actual system, considering that the movement speeds of multiple users are different and are in a large dynamic change range, aiming at a high-speed mobile user, the information effectiveness is shorter due to the rapidly changing position of the user, and frequent and accurate beam tracking is required to be carried out to ensure the beam alignment effect; however, for a low-speed mobile user, the position and channel state information of the user change slowly, and if the same frequent beam tracking is adopted, a large amount of signaling overhead is caused, and the transmission efficiency of the system is seriously affected.

The above problem usually occurs because each timeslot of the frame structure is the same in the existing transmission timeslot configuration method, and cannot be applied to parameter dynamic configuration, which is not enough to support solution of the technical problem when tracking the beam. Therefore, it is urgently needed to provide a transmission timeslot configuration method.

Disclosure of Invention

The invention provides a transmission time slot configuration method, a beam tracking method, an electronic device and a storage medium, which are used for solving the defects in the prior art.

The invention provides a transmission time slot configuration method, which comprises the following steps:

configuring a plurality of continuous time slots in a frame structure as a time slot group, wherein the first time slot in the time slot group is a training time slot, the last time slot in the time slot group is a feedback time slot, and the time slot between the training time slot and the feedback time slot in the time slot group is a conventional time slot;

sending training signals based on the first signal units in the training time slots in the time slot group, and carrying out data transmission based on the rest signal units except the first signal units in the training time slots in the time slot group;

feeding back the statistical performance result of the time slot group based on the last signal units in the feedback time slot in the time slot group, and performing data transmission based on the rest signal units except the last signal units in the feedback time slot in the time slot group;

and transmitting data based on all signal units in the conventional time slot in the time slot group.

The invention provides a beam tracking method realized based on the transmission time slot configuration method, which comprises the following steps:

sending a first reference signal to a terminal based on a training time slot in the time slot group, receiving mobile state information determined by the terminal based on the first reference signal based on a signal unit used for data transmission in the time slot group, and receiving a statistical performance result of the time slot group fed back by the terminal based on a feedback time slot in the time slot group;

calculating a tracking quality evaluation parameter between the base station and the terminal based on the mobile state information and the statistical performance result, determining a target configuration parameter based on the tracking quality evaluation parameter, and sending the target configuration parameter to the terminal based on a training time slot in the time slot group;

and determining a beam forming vector based on the target configuration parameters, and sending a second reference signal to the terminal by the beam forming vector based on the training time slot in the time slot group, wherein the second reference signal is used for the terminal to search beams and complete beam tracking.

According to the beam tracking method provided by the invention, the tracking quality evaluation parameter comprises a tracking accuracy parameter and a tracking efficiency parameter;

the determining a target configuration parameter based on the tracking quality evaluation parameter specifically includes:

if the tracking accuracy parameter is greater than or equal to a performance threshold and the tracking efficiency parameter is greater than or equal to an efficiency threshold, determining that the target configuration parameter is the same as the stored current configuration parameter;

otherwise, inputting the moving state information, the statistical performance result and the stored current configuration parameters into an intelligent learning model to obtain a prediction result output by the intelligent learning model, and taking the prediction result as the target configuration parameters;

the intelligent learning model is obtained by training based on a configuration parameter sample at a target moment, a statistical performance result sample, a mobile state information sample and a configuration parameter sample at a later moment of the target moment.

According to the beam tracking method provided by the invention, the statistical performance result comprises a statistical value of a tracking accuracy index;

the calculating, based on the moving state information and the statistical performance result, a tracking quality evaluation parameter between the base station and the terminal specifically includes:

determining an expected value of the tracking accuracy indicator, and determining the tracking accuracy parameter based on a ratio of the statistical value to the expected value;

determining the tracking efficiency parameter based on the mobility state information and stored current configuration parameters.

According to a beam tracking method provided by the present invention, the target configuration parameters include a total number of timeslots and a beam width in the timeslot group.

The invention also provides a beam tracking method based on the transmission time slot configuration method, which comprises the following steps:

receiving a first reference signal sent by a base station based on a training time slot in the time slot group, determining moving state information based on the first reference signal, and sending the moving state information to the base station based on a signal unit used for data transmission in the time slot group;

monitoring system performance indexes of all time slots in the time slot group, calculating a statistical performance result of the time slot group based on the system performance indexes of all time slots in the time slot group, and feeding the statistical performance result back to the base station based on a feedback time slot in the time slot group;

receiving a target configuration parameter determined by the base station based on the mobile state information and the statistical performance result based on the training time slots in the time slot group, and determining the total number of time slots adopted in a subsequent time slot group based on the target configuration parameter;

and receiving a second reference signal sent by the base station based on the training time slot in the time slot group, and performing beam search based on the second reference signal to complete beam tracking.

the calculating a statistical performance result of the time slot group based on the system performance indexes of all the time slots in the time slot group specifically includes:

and carrying out weighted average on the values of the system performance indexes of all the time slots in the time slot group to obtain a statistical value of the tracking accuracy index.

According to a beam tracking method provided by the present invention, the determining the moving state information based on the first reference signal specifically includes:

determining the received power of the first reference signal, and calculating the distance between the terminal and the base station based on the received power;

predicting to obtain the mobile state information based on the distance and a historical first reference signal sent by the base station through a training time slot in the time slot group;

wherein the moving state information includes at least one of a position, a moving speed, and a moving direction of the terminal.

The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the beam tracking method as described in any of the above when executing the program.

The invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a beam tracking method as described in any of the above.

The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a beam tracking method as described in any one of the above.

The transmission time slot configuration method, the beam tracking method, the electronic device and the storage medium provided by the invention can realize data transmission and perform parameter dynamic configuration and statistical performance feedback on a time slot group at the same time by configuring a plurality of continuous time slots in a frame structure as a time slot group based on a training time slot, a conventional time slot and a feedback time slot in the time slot group, thereby providing a scheme which can be matched with the moving speeds of different users for technical application such as beam tracking and the like, so as to give consideration to the transmission performance and the transmission efficiency of a communication system and reduce the signaling overhead.

Drawings

In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a flowchart illustrating a transmission timeslot configuration method according to the present invention;

fig. 2 is a schematic diagram of a timeslot group obtained by the transmission timeslot configuration method provided in the present invention;

FIG. 3 is a flow chart of a beam tracking method according to the present invention;

fig. 4 is a schematic diagram of a relative position relationship between a base station and a terminal in the beam tracking method provided by the present invention;

FIG. 5 is a schematic input/output diagram of an intelligent learning model used in the beam tracking method provided by the present invention;

FIG. 6 is a second flowchart illustrating a beam tracking method according to the present invention;

FIG. 7 is a third flowchart illustrating a beam tracking method according to the present invention;

FIG. 8 is a fourth flowchart illustrating a beam tracking method according to the present invention;

fig. 9 is a schematic structural diagram of a transmission timeslot configuration device provided in the present invention;

FIG. 10 is a schematic structural diagram of a beam tracking apparatus according to the present invention;

FIG. 11 is a second schematic structural diagram of a beam tracking apparatus according to the present invention;

fig. 12 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

When the beam tracking method in the prior art is applied to a millimeter wave massive MIMO system, the beam tracking frequency needs to be increased in order to ensure the transmission performance of the system. For a high-speed mobile user, the fast changing position of the mobile user makes the information effective shorter, and the required beam tracking frequency is higher, while for a low-speed mobile user, the position and channel state information and the like of the mobile user change slowly, and if the high beam tracking frequency is adopted, a large amount of signaling overhead is caused, and the system transmission efficiency is seriously influenced. Therefore, it is necessary to research an accurate and efficient beam tracking method for large-scale narrow beams to improve the link transmission efficiency and reliability in the high-band communication system.

The invention provides a transmission time slot configuration method, which mainly solves the technical problem that a more reasonable wireless transmission time slot configuration method is designed under the scene that a network environment has high dynamics (including larger channel propagation condition difference, larger terminal movement speed difference and the like), aims to realize dynamic parameter configuration and statistical performance feedback on a time slot group while realizing data transmission, ensures that a scheme which can be matched with the movement speeds of different users is provided for technical application such as beam tracking and the like, and gives consideration to the transmission performance and the transmission efficiency of a communication system and reduces signaling overhead.

Fig. 1 is a schematic flow chart of a transmission timeslot configuration method provided in an embodiment of the present invention, as shown in fig. 1, the method includes:

s11, configuring a plurality of continuous time slots in a frame structure into a time slot group, wherein the first time slot in the time slot group is a training time slot, the last time slot in the time slot group is a feedback time slot, and the time slot between the training time slot and the feedback time slot in the time slot group is a conventional time slot;

s12, transmitting training signals based on the first signal units in the training time slots in the time slot group, and transmitting data based on the rest signal units except the first signal units in the training time slots in the time slot group;

s13, feeding back the statistical performance result of the time slot group based on the latter signal units in the feedback time slot in the time slot group, and carrying out data transmission based on the rest signal units except the latter signal units in the feedback time slot in the time slot group;

and S14, carrying out data transmission based on all the signal units in the conventional time slot in the time slot group.

Specifically, an execution main body of the transmission time slot configuration method provided in the embodiment of the present invention is a transmission time slot configuration device, the device may be configured in a computer, the computer may be a local computer or a cloud computer, the local computer may be a computer, a tablet, and the like, which is not limited specifically herein.

Step S11 is executed first, a plurality of consecutive timeslots in a frame structure are configured into a timeslot group, the total number of timeslots in each timeslot group may be set according to needs, and the total number of timeslots in different timeslot groups may be the same or different, that is, the timeslot groups used for communication between the base station and the terminal at different times may be the same or different, and are determined by the training signal sent by the training timeslot and the statistical performance result fed back by the feedback timeslot.

In the embodiment of the present invention, on the basis of each continuous and independent transmission time slot in the conventional frame structure, a concept of a time slot Group is introduced, that is, a plurality of time slots are bundled and defined as a time slot Group (TBG), and one time slot Group constitutes one basic transmission unit obtained by configuration.

The time slot group configured in the embodiment of the present invention is shown in fig. 2, where a dashed box represents one TBG, and one TBG includes three types of time slots, i.e., a training time slot, a normal time slot, and a feedback time slot. The number of the conventional time slots is one or more, and can be set according to needs, and the total number of the time slots contained in one TBG is the total number of the time slots of the three time slot types, and is determined by the number of the conventional time slots.

The training time slot in each time slot group is the first time slot, the feedback time slot in each time slot group is the last time slot, and the time slots between the training time slot and the feedback time slot in each time slot group are conventional time slots. That is, if the total number of timeslots included in one TBG is N, the first timeslot is a training timeslot, the (N-2) timeslots starting from the second timeslot in the TBG are normal timeslots, and the last timeslot in the TBG is a feedback timeslot.

Therefore, each time slot group at least comprises a training time slot, a feedback time slot and a regular time slot, namely if the total number of time slots in different time slot groups is different, the result is that the number of the inner regular time slots is different.

Each time slot included in each time slot group is composed of a plurality of signal units arranged in sequence, the number of the signal units included in each time slot can be set according to needs, and is the same, and the number is not limited specifically here. For example, each slot includes L signal units, where L is a positive integer.

And step S12 is executed, the training signals are sent through the first plurality of signal units in the training time slot in each time slot group, and data transmission is carried out through the other signal units except the first plurality of signal units in the training time slot in each time slot group.

That is, the training time slots in each time slot group have the first several signal units for transmitting the training signals, i.e., the base station may transmit the training signals to the terminal using the first several signal units in the training time slots. The number of the signal units for transmitting the training signal may be one or more, and may be specifically set according to needs, and is not specifically limited herein.

The training signal may include training information used for determining parameter configuration and parameters obtained by configuration, for example, the beam tracking application scenario may include a first reference signal, a target configuration parameter, a second reference signal, and the like, where the first reference signal is used to implement a mobility prediction function, that is, to determine mobile state information of the terminal; the target configuration parameter is used for realizing the parameter configuration function of the time slot group; the second reference signal is then used to implement the beam alignment function.

The training time slots in each time slot group, wherein the rest signal units except the first signal units used for transmitting the training signals are used for data transmission. That is, both the base station and the terminal can use the remaining signal units except the first several signal units in the training timeslot for data transmission.

For example, the L signal units included in the training time slot may be specifically divided into two groups, i.e., the first a signal units and the last L-a signal units, where the first a signal units in the training time slot are used to send training signals, and the last L-a signal units in the training time slot are used to perform data transmission on conventional data to be transmitted.

And step S13 is executed, the statistical performance result of the time slot group is fed back through the last signal units in the feedback time slot in the time slot group, and data transmission is carried out through the rest signal units except the last signal units in the feedback time slot in the time slot group.

That is, in the feedback timeslot in each timeslot group, the last signal units are used to send the statistical performance result of the timeslot group, that is, the terminal can send the statistical performance result of the timeslot group to the base station by using the last signal units in the feedback timeslot. The number of the signal units for transmitting the statistical performance result of the timeslot group may be one or more, and may be specifically set according to needs, which is not specifically limited herein.

The statistical performance result of the time slot group may include a statistical result of values of system performance indexes of all time slots in the time slot group. The system performance indicator may include at least one of throughput, block error rate, and bit error rate.

And the feedback time slots in each time slot group are used for transmitting data except the last signal units used for transmitting the statistical performance result of the time slot group. That is, the base station and the terminal may both use the remaining signal units in the feedback timeslot, except the last several signal units, to perform data transmission.

For example, the L signal units included in the feedback time slot may be specifically divided into two groups, namely, the first L-b signal units and the second b signal units, where the first L-b signal units of the feedback time slot are all used for performing data transmission on conventional data to be transmitted, and the second b signal units are used for transmitting statistical performance results of the time slot group, that is, the performance feedback function is realized. It can be understood that the data to be transmitted by the first L-b signal units in the feedback time slot is the remaining data to be transmitted without completing the transmission of the conventional time slot.

In particular, if the data to be transmitted can be transmitted only through the training time slot or through the training time slot and the regular time slot, the feedback time slot has no data to be transmitted.

Step S14 is executed to perform data transmission through all signal units in the regular time slot in the time slot group. That is, a regular time slot within each group of time slots in which all signal units are used for data transmission. I.e. both the base station and the terminal can utilize all signal units in the regular time slot for data transmission.

Although the normal time slot also includes L signal units, all the signal units are used for data transmission of normal data to be transmitted. It can be understood that the data to be transmitted in the conventional timeslot is the remaining data to be transmitted after L-a signal units in the training timeslot are not transmitted. Compared with the time slot in the traditional wireless frame structure, all the signal units in the conventional time slot are used for carrying out data transmission on the conventional data to be transmitted, and no special function is provided.

In particular, if the data to be transmitted can be transmitted only through the training timeslot, the conventional timeslot has no data to be transmitted.

It should be understood that, in the embodiment of the present invention, steps S12, S13, and S14 are all used to describe the role of each type of timeslot in the timeslot group, and therefore, the execution order thereof may be set as needed, and may be executed synchronously, or a corresponding execution order may be selected as needed, which is not limited herein.

In the embodiment of the invention, a new wireless transmission time slot configuration method is provided for a wireless communication system, and the flexibility of communication between a base station and a terminal can be realized by adjusting the number of conventional time slots in a time slot group. The wireless transmission time slot configuration method is compatible with the design of a traditional frame structure, can be oriented to the specific requirements of each terminal in the coverage area of a base station, and can bind different numbers of time slots together to form time slot groups with different lengths as beam tracking processing units corresponding to each terminal, thereby supporting the flexible adjustment of beam tracking frequency. Meanwhile, the feedback time slot in the time slot group supports the timely feedback of the statistical performance result in the beam tracking processing unit, so that a closed loop is formed, and whether the subsequent configuration parameters need to be adjusted or not can be determined according to the implementation effect.

The transmission time slot configuration method provided by the embodiment of the invention can realize dynamic parameter configuration and statistical performance feedback on the time slot group while realizing data transmission by configuring a plurality of continuous time slots in a frame structure as a time slot group based on the training time slots, the conventional time slots and the feedback time slots in the time slot group, and further provides a scheme which can be matched with the moving speeds of different users for technical application such as beam tracking and the like, so as to give consideration to the transmission performance and the transmission efficiency of a communication system and reduce the signaling overhead.

As shown in fig. 3, on the basis of the foregoing embodiment, an embodiment of the present invention further provides a beam tracking method implemented based on the transmission timeslot configuration method provided in the foregoing embodiment, including:

s31, sending a first reference signal to a terminal based on a training time slot in the time slot group, receiving mobile state information determined by the terminal based on the first reference signal based on a signal unit for data transmission in the time slot group, and receiving a statistical performance result of the time slot group fed back by the terminal based on a feedback time slot in the time slot group;

s32, calculating tracking quality evaluation parameters between the base station and the terminal based on the mobile state information and the statistical performance result, determining target configuration parameters based on the tracking quality evaluation parameters, and sending the target configuration parameters to the terminal based on training time slots in the time slot group;

and S33, determining a beam forming vector based on the target configuration parameters, and sending a second reference signal to the terminal by the beam forming vector based on the training time slot in the time slot group, wherein the second reference signal is used for the terminal to search for a beam and complete beam tracking.

Specifically, the main implementation of the beam tracking method provided in the embodiments of the present invention is a beam tracking apparatus, which may be applied to a base station side, for example, may be configured in a base station.

First, step S31 is executed, and the base station may transmit a first reference signal to the terminal by using a training slot in a slot group, where the first reference signal is a type of training signal. In an embodiment of the present invention, the type of the first Reference Signal may be at least one of a Phase-tracking Reference Signal (PTRS), a Sounding Reference Signal (SRS), a Channel State Information Reference Signal (CSI-RS), and a Demodulation Reference Signal (DMRS). The base station may transmit the same or different first reference signals to different terminals within the coverage area, which is not limited in detail herein.

After receiving the first reference signal, the terminal may determine the movement state information of the terminal according to the first reference signal, and send the movement state information to the base station. The movement state information of the terminal may be related information for characterizing the movement state of the terminal, and may include at least one of a location of the terminal, a movement speed of the terminal, and a movement direction of the terminal, for example.

It can be understood that the movement state information determined by the terminal is the movement state information at the current moment. After determining the mobile status information, the terminal may send the mobile status information to the base station through the signal unit for data transmission in the timeslot group, and the base station receives the mobile status information.

After receiving the first reference signal, the terminal may also monitor system performance indicators of all timeslots in the timeslot group, and calculate a statistical performance result of the timeslot group. Thereafter, the statistical performance result may be sent to the base station through the feedback time slot in the time slot group, and the base station receives the statistical performance result.

Then, step S32 is executed, after receiving the moving state information and the statistical performance result, the base station calculates a tracking quality evaluation parameter between the base station and the terminal in combination with the moving state information and the statistical performance result.

Here, the statistical performance result is a statistical value of a system performance index obtained by the terminal statistics after the base station transmits data to the terminal. The statistical performance result can be used for representing the communication performance of a communication system established between the base station and the terminal, and can be represented by values of tracking accuracy indexes such as throughput, block error rate, bit error rate and the like. Here, the tracking accuracy index is one of system performance indexes.

The tracking quality evaluation parameter refers to a relevant parameter for evaluating tracking performance of the base station when tracking the terminal, and the tracking performance may include tracking accuracy and tracking efficiency, and therefore the tracking quality evaluation parameter may include a tracking accuracy parameter and a tracking efficiency parameter. In the embodiment of the invention, the tracking accuracy parameter can be determined by counting the performance result, and the tracking efficiency parameter can be determined by the movement state information.

And then determining target configuration parameters according to the tracking quality evaluation parameters. The target configuration parameters are used for configuring the parameters of the time slot group between the base station and the terminal so as to realize the subsequent actions such as beam tracking, data transmission and the like between the base station and the terminal. In this embodiment of the present invention, the target configuration parameter may include a total number of timeslots and a beam width in a timeslot group used for communication between the base station and the terminal.

In the embodiment of the invention, the association relationship between the tracking quality evaluation parameter and the target configuration parameter can be constructed in advance, and then the corresponding target configuration parameter can be obtained by substituting the tracking quality evaluation parameter into the association relationship. The tracking quality evaluation parameter may be determined in real time in combination with the tracking condition, which is not specifically limited herein.

Since the tracking quality evaluation parameter is determined by combining the statistical performance result and the moving state information, it can be stated that the target configuration parameter is determined by both the statistical performance result and the moving state information, and the target configuration parameter can dynamically change with the statistical performance result and the moving state information.

After that, the base station may send the target configuration parameter to the terminal, and the terminal may determine, according to the target configuration parameter, a time slot group used by the subsequent terminal to send data to the base station, that is, may determine, according to the target configuration parameter, the number of the conventional time slots in the subsequently used time slot group.

Finally, step S33 is executed, and the base station may determine a beamforming vector according to the target configuration parameter. In calculating the beamforming vector, the beamforming vector may be implemented by combining the beam width in the target configuration parameter according to the movement state information, and in this process, the geometric model, i.e. the relative position relationship between the base station and the terminal, may be tracked by using the beam between the base station and the terminal, and the relative position relationship is shown in fig. 4.

In fig. 4, a three-dimensional right-hand coordinate system is constructed by using the position of the base station as an origin and the vertical extending direction of the base station as the z-axis direction, the included angle between the connecting line of the terminal J and the origin and the x-axis direction is θ, and the height of the base station is h _BS The included angle between the connecting line of the base station signal transmitting point and the terminal J and the z-axis direction is

In fig. 4, an ellipse with a connection line between the base station signal transmission point and the terminal J as a major axis is a tracking beam, and a widest point in the ellipse perpendicular to the connection line between the base station signal transmission point and the terminal J is a beam width. Thus, with reference to fig. 4, the beamforming vector of the tracking beam can be calculated by combining the moving state information and the beam width in the target configuration parameter.

And then, a second reference signal is sent to the terminal by a tracking beam formed by the beamforming vector through a training time slot in the time slot group, so that the terminal performs beam search through the second reference signal, and beam tracking is further completed. The second reference signal may be the same as or different from the first reference signal, and is not limited herein.

The beam tracking method provided by the embodiment of the invention considers the mobile state information of the terminal, determines the tracking quality evaluation parameter by combining the statistical performance result, further determines the target configuration parameter, determines the beam forming vector based on the target configuration parameter, and transmits the target configuration parameter to the terminal by the tracking beam formed by the beam forming vector through the training time slot in the time slot group, thereby realizing the dynamic configuration of the transmission time slot. Further, the base station can realize dynamic alignment and tracking of the beam according to the transmission time slot configuration method. The beam tracking method can match corresponding target configuration parameters for users with different movement state information, can ensure that the frequency of beam tracking is matched with the movement speed of the user when the beam tracking is carried out, reduces the signaling overhead and ensures the transmission efficiency of a communication system.

On the basis of the foregoing embodiments, in the beam tracking method provided in the embodiments of the present invention, the tracking quality evaluation parameter includes a tracking accuracy parameter and a tracking efficiency parameter;

otherwise, inputting the movement state information, the statistical performance result and the stored current configuration parameters into an intelligent learning model to obtain a prediction result output by the intelligent learning model, and taking the prediction result as the target configuration parameters;

Specifically, the tracking quality evaluation parameter adopted in the embodiment of the present invention may include a tracking accuracy parameter and a tracking efficiency parameter, the tracking accuracy parameter may be used to represent the accuracy of the communication between the base station and the terminal, and the tracking efficiency parameter may be used to represent the efficiency of the communication between the base station and the terminal.

Furthermore, when determining the target configuration parameter by tracking the quality evaluation parameter, the magnitude relationship between the tracking accuracy parameter Ea and the performance threshold value hre1 and the magnitude relationship between the tracking efficiency parameter Eb and the efficiency threshold value hre2 may be determined first. The performance threshold Thre1 and the efficiency threshold Thre2 are all preset constants.

If the tracking accuracy parameter Ea is greater than or equal to the performance threshold value Thre1 and the tracking efficiency parameter Eb is greater than or equal to the efficiency threshold value Thre2, it indicates that the tracking quality evaluation parameter meets the tracking condition, so that the current configuration parameter stored in the base station can be directly used as the target configuration parameter. The current configuration parameters are configuration parameters that the base station has determined and stored.

Otherwise, that is, the tracking accuracy parameter Ea is smaller than the performance threshold value Thre1, or the tracking efficiency parameter Eb is smaller than the efficiency threshold value Thre2, it indicates that the tracking quality evaluation parameter does not satisfy the tracking condition, and at this time, the current configuration parameter stored by the base station is continuously used, which will not adapt to the current moving state of the terminal, and accurate communication between the base station and the terminal cannot be realized.

Fig. 5 is a schematic diagram illustrating input and output of an intelligent learning model, where if the current configuration parameters include the total number of timeslots and the beam width in a timeslot group, the input of the intelligent learning model is a statistical performance result of the timeslot group fed back by the terminal based on a feedback timeslot in the timeslot group, mobile state information sent by the terminal through a signal unit for data transmission in the timeslot group, and the current configuration parameters stored by the base station, and the output of the intelligent learning model is target configuration parameters (including the updated total number of timeslots and the beam width in the timeslot group), and is available for subsequent use.

The intelligent learning model can be a neural network model and can be obtained by training an initial neural network model through a configuration parameter sample at a target moment, a statistical performance result sample, a mobile state information sample and a configuration parameter sample at a later moment of the target moment.

It can be understood that the target time can be selected as required, usually a certain historical time, when the initial neural network model is trained, the configuration parameter sample, the statistical performance result sample and the mobile state information sample at the target time can all be input into the initial neural network model to obtain the output result of the initial neural network model, the configuration parameter sample at the later time of the target time is used as a label, the loss value of the initial neural network model is calculated through the output result and the label, and the model parameter of the initial neural network model is updated through the loss value; and iteratively executing the input process and the calculation process until the loss value is converged or the preset iteration times is reached to obtain an intelligent learning model, so that the intelligent learning model has the function of predicting configuration parameters.

In the embodiment of the invention, an intelligent learning model is introduced, and target configuration parameters are found through data driving and model training, so that both tracking accuracy and tracking efficiency are considered. When the configuration parameters comprise the total number of the time slots in the time slot group and the beam width, the intelligent learning model realizes the joint optimization of the total number of the time slots and the beam width, and reduces the signaling overhead while ensuring the beam tracking precision.

On the basis of the foregoing embodiment, in the beam tracking method provided in the embodiment of the present invention, the statistical performance result includes a statistical value of a tracking accuracy index;

the calculating a tracking quality evaluation parameter between the base station and the terminal based on the mobile state information and the statistical performance result specifically includes:

determining an expected value of the tracking accuracy index, and determining the tracking accuracy parameter based on a ratio of the statistical value to the expected value;

Specifically, in the embodiment of the present invention, the statistical performance result may include a statistical value of the tracking accuracy index. The tracking accuracy index may include any one of throughput, block error rate, and bit error rate, and may be a performance measure preset by the base station. The statistical value of the tracking accuracy index is a weighted average value of values of the tracking accuracy index of each time slot in the time slot group of the data sent to the terminal by the base station obtained by the statistics of the terminal.

Furthermore, when calculating the tracking quality evaluation parameter, a desired value of the tracking accuracy index may be determined, and the desired value may be predetermined. A ratio of the statistical value to the expected value is then calculated, and a tracking accuracy parameter is determined based on the ratio. If the throughput is used as the tracking accuracy index, tracking accuracy parameter Ea = statistical value of the throughput/expected value of the throughput; if the block error rate or the bit error rate is used as the tracking accuracy index, the tracking accuracy parameter Ea = the expected value of the block error rate (or the bit error rate)/the statistical value of the block error rate (or the bit error rate).

Then, according to the mobile state information and the current configuration parameters stored by the base station, the tracking efficiency parameters are determined. The tracking efficiency parameter Eb may be determined as a product of the total number N of slots in the current slot group and the moving speed V of the terminal, i.e., eb = N × V.

In the embodiment of the invention, a calculation method of the tracking quality evaluation parameter is provided, so that the accurate determination of the subsequent target configuration parameter can be ensured.

On the basis of the foregoing embodiment, in the transmission timeslot configuration method provided in the embodiment of the present invention, the target configuration parameter includes the total number of timeslots in the subsequent timeslot group, and the current configuration parameter includes the total number of timeslots in the current timeslot group.

On the basis of the foregoing embodiment, in the beam tracking method provided in the embodiment of the present invention, the target configuration parameter includes the total number of timeslots and the beam width in the subsequent timeslot group, and the current configuration parameter includes the total number of timeslots and the beam width in the current timeslot group.

As shown in fig. 6, on the basis of the foregoing embodiment, an embodiment of the present invention further provides a beam tracking method implemented based on the foregoing transmission timeslot configuration method, including:

s61, receiving a first reference signal sent by a base station based on a training time slot in the time slot group, determining moving state information based on the first reference signal, and sending the moving state information to the base station based on a signal unit used for data transmission in the time slot group;

s62, monitoring system performance indexes of all time slots in the time slot group, calculating a statistical performance result of the time slot group based on the system performance indexes of all time slots in the time slot group, and feeding the statistical performance result back to the base station based on a feedback time slot in the time slot group;

s63, receiving a target configuration parameter determined by the base station based on the mobile state information and the statistical performance result based on the training time slots in the time slot group, and determining the total number of time slots adopted in a subsequent time slot group based on the target configuration parameter;

and S64, receiving a second reference signal sent by the base station based on the training time slot in the time slot group, and performing beam searching based on the second reference signal to complete beam tracking.

Specifically, the main implementation of the beam tracking method provided in the embodiments of the present invention is a beam tracking apparatus, which may be applied to a terminal side, for example, may be configured in a terminal. The terminal may be communicatively coupled to a base station.

Step S61 is executed first, the terminal receives a first reference signal transmitted by the base station through a training timeslot in the timeslot group, and after receiving the first reference signal, the terminal may further determine the mobile status information according to the first reference signal. The movement state information of the terminal may include at least one of a location of the terminal, a movement speed of the terminal, and a movement direction of the terminal. The historical set of time slots may be T TBGs prior to the current time.

Here, the terminal may determine the received power of the first reference signal, determine the distance between the terminal and the base station according to the received power, and then predict the movement state information of the terminal by combining the distance and the historical first reference signal transmitted by the base station through the training slot in the slot group. The utilized historical first reference signals may be respective first reference signals received by the terminal before the current time. Thereafter, the terminal may transmit the movement state information to the base station through a signal unit for data transmission within the slot group.

When the mobile state information of the terminal is predicted, a trained neural network model can be introduced, namely, the distance and the historical first reference signal are used as the input of the neural network model, and the mobile state information of the terminal can be obtained and output through the prediction of the neural network model. And may also be implemented by using a conventional mobility state information prediction method, which is not specifically limited herein.

It should be noted that, although there is a conventional mobile status information prediction method in the prior art, the mobile status information obtained by prediction is not applied to the field of wireless transmission timeslot parameter configuration and beam tracking.

After receiving the mobile state information, the base station calculates tracking quality evaluation parameters between the base station and the terminal by combining the mobile state information and the statistical performance result of the time slot group fed back by the terminal through the feedback time slot in the time slot group. For the calculation process of tracking quality evaluation parameters, reference is made to the above embodiments, and details are not repeated herein.

Then, step S62 is executed, and the terminal monitors the system performance indexes of all timeslots in the timeslot group, where the system performance indexes may include tracking accuracy indexes such as throughput, block error rate, and bit error rate. In conjunction with the system performance indicators of all timeslots within the timeslot group, a statistical performance result for the timeslot group may be calculated, which may include a statistical value for the tracking accuracy indicator. Thereafter, the terminal may feed back the statistical performance result to the base station through the feedback time slot in the time slot group.

Then, step S63 is executed, the terminal receives the target configuration parameter which is sent to the terminal by the base station through the training timeslot in the timeslot group and is determined based on the mobile state information and the statistical performance result, and determines the total number of timeslots used in the subsequent timeslot group according to the target configuration parameter.

And finally, executing step S64, the terminal receiving a second reference signal sent by the base station to the terminal through the training time slot in the time slot group, and performing beam search through the second reference signal to complete beam tracking.

In the beam tracking method provided by the embodiment of the invention, the terminal predicts the self moving state information after receiving the first reference signal and sends the information to the base station, and the terminal determines and feeds back the statistical performance result after receiving the target configuration parameter sent by the base station, thereby assisting in realizing the time slot group parameter configuration. The method can configure corresponding parameters for users in different moving states, can ensure that the frequency of beam tracking is matched with the moving speed of the user when the beam tracking is carried out, reduces the signaling overhead and ensures the transmission efficiency of a communication system.

Specifically, in the embodiment of the present invention, when determining the statistical performance result, the terminal may directly perform weighted average on the values of the tracking accuracy indexes of all the time slots in the time slot group, so as to obtain the statistical value of the tracking accuracy index, where the statistical value is used as the statistical performance result.

On the basis of the foregoing embodiment, the beam tracking method provided in the embodiment of the present invention, wherein the determining the moving state information based on the first reference signal specifically includes:

Specifically, in the embodiment of the present invention, when determining the moving state information of the terminal according to the first reference signal, the terminal may determine the received power of the first reference signal, and then calculate the distance between the terminal and the base station according to the received power of the first reference signal. After that, the moving state information can be predicted by combining the distance and the historical first reference signal sent by the base station through the training time slot in the time slot group. The method introduces the receiving power of the first reference signal, and can realize the quick determination of the mobile state information.

To sum up, the operation flow of the beam tracking method provided in the embodiment of the present invention at the base station side is shown in fig. 7, and includes:

transmitting a first reference signal P1 to a terminal;

receiving mobile state information of a terminal;

calculating tracking quality evaluation parameters including a tracking accuracy parameter Ea and a tracking efficiency parameter Eb;

and judging whether the tracking accuracy parameter Ea is greater than or equal to a performance threshold Thre1 or not and whether the tracking efficiency parameter Eb is greater than or equal to an efficiency threshold Thre2 or not.

If Ea is larger than or equal to Thre1 and Eb is larger than or equal to Thre2, taking the current configuration parameters stored by the base station as target configuration parameters; and if Ea < Thre1 or Eb < Thre2, starting an intelligent learning model and calculating the updated target configuration parameters.

And sending the target configuration parameters to the terminal.

And calculating a beam forming vector, and sending a second reference signal P2 to the terminal by using the beam forming vector to complete beam tracking.

The operation flow at the terminal side is shown in fig. 8, and includes:

receiving a first reference signal P1 sent by a base station;

determining the receiving power of the first reference signal and calculating the distance from the terminal to the base station;

predicting the moving state of the terminal to obtain moving state information;

sending the mobile state information to a base station;

receiving target configuration parameters sent by a base station;

determining a statistical performance result;

feeding back the statistical performance result to the base station;

receiving a second reference signal P2 sent by the base station;

and performing beam searching based on the second reference signal to complete beam tracking.

As shown in fig. 9, on the basis of the foregoing embodiments, an embodiment of the present invention provides a transmission timeslot configuration apparatus, including:

a configuration module 91, configured to configure a plurality of consecutive timeslots in a frame structure as a timeslot group, where a first timeslot in the timeslot group is a training timeslot, a last timeslot in the timeslot group is a feedback timeslot, and a timeslot between the training timeslot and the feedback timeslot in the timeslot group is a normal timeslot;

a training module 92, configured to send training signals based on the first several signal units in the training time slot in the time slot group, and perform data transmission based on the remaining signal units, except the first several signal units, in the training time slot in the time slot group;

a feedback module 93, configured to feedback a statistical performance result of the timeslot group based on the last signal units in the feedback timeslot in the timeslot group, and perform data transmission based on the remaining signal units in the feedback timeslot in the timeslot group except the last signal units;

a transmission module 94, configured to perform data transmission based on all signal units in the regular time slot in the time slot group.

As shown in fig. 10, on the basis of the above embodiment, an embodiment of the present invention provides a beam tracking apparatus, including:

a first interaction module 101, configured to send a first reference signal to a terminal based on a training timeslot in the timeslot group, receive mobile state information determined by the terminal based on the first reference signal based on a signal unit used for data transmission in the timeslot group, and receive a statistical performance result of the timeslot group fed back by the terminal based on a feedback timeslot in the timeslot group;

a calculating module 102, configured to calculate a tracking quality evaluation parameter between the base station and the terminal based on the moving state information and the statistical performance result, determine a target configuration parameter based on the tracking quality evaluation parameter, and send the target configuration parameter to the terminal based on a training timeslot in the timeslot group;

a first tracking module 103, configured to determine a beamforming vector based on the target configuration parameter, and send a second reference signal to the terminal with the beamforming vector based on a training timeslot in the timeslot group, where the second reference signal is used for the terminal to perform beam search, so as to complete beam tracking.

On the basis of the foregoing embodiments, in the beam tracking apparatus provided in the embodiments of the present invention, the tracking quality evaluation parameter includes a tracking accuracy parameter and a tracking efficiency parameter;

the calculation module is specifically configured to:

On the basis of the foregoing embodiment, in the beam tracking apparatus provided in the embodiment of the present invention, the statistical performance result includes a statistical value of a tracking accuracy index;

the calculation module is specifically configured to:

On the basis of the foregoing embodiment, in the beam tracking apparatus provided in the embodiment of the present invention, the target configuration parameter includes a total number of timeslots in the timeslot group and a beam width.

Specifically, the beam tracking apparatus provided in the embodiments of the present invention may be configured in a base station, where the functions of each module correspond to the operation flows of each step in the method class embodiments that take the beam tracking apparatus at the base station side as the execution main body one to one, and the implementation effects are also consistent.

As shown in fig. 11, on the basis of the foregoing embodiment, an embodiment of the present invention further provides a beam tracking apparatus, including:

a second interaction module 111, configured to receive a first reference signal sent by a base station based on a training timeslot in the timeslot group, determine moving state information based on the first reference signal, and send the moving state information to the base station based on a signal unit used for data transmission in the timeslot group;

a monitoring module 112, configured to monitor system performance indicators of all timeslots in the timeslot group, calculate a statistical performance result of the timeslot group based on the system performance indicators of all timeslots in the timeslot group, and feed back the statistical performance result to the base station based on a feedback timeslot in the timeslot group;

a determining module 113, configured to receive a target configuration parameter determined by the base station based on the mobile status information and the statistical performance result based on the training timeslot in the timeslot group, and determine, based on the target configuration parameter, a total number of timeslots used in a subsequent timeslot group;

a second tracking module 114, configured to receive a second reference signal sent by the base station based on the training timeslot in the timeslot group, and perform beam search based on the second reference signal to complete beam tracking.

the monitoring module is specifically configured to:

On the basis of the foregoing embodiment, in the beam tracking apparatus provided in the embodiment of the present invention, the second interaction module is specifically configured to:

Specifically, the beam tracking apparatus provided in the embodiment of the present invention may be configured in a terminal, where functions of the modules correspond to operation flows of the steps in the method class embodiments that take the beam tracking apparatus at the terminal side as an execution main body one to one, and the implementation effect is also consistent.

Fig. 12 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 12: a Processor (Processor) 120, a communication Interface (Communications Interface) 121, a Memory (Memory) 122 and a communication bus 123, wherein the Processor 120, the communication Interface 121 and the Memory 122 are configured to communicate with each other via the communication bus 123. The processor 120 may invoke logic instructions in the memory 122 to perform the transmission slot configuration method or the beam tracking method provided in the various embodiments described above.

Furthermore, the logic instructions in the memory 122 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

In another aspect, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can execute the transmission slot configuration method or the beam tracking method provided in the above embodiments.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, is implemented to perform the transmission slot configuration method or the beam tracking method provided in the above embodiments.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method for configuring a transmission slot, comprising:

2. A beam tracking method implemented based on the transmission slot configuration method of claim 1, comprising:

3. The beam tracking method according to claim 2, wherein the tracking quality evaluation parameters include a tracking accuracy parameter and a tracking efficiency parameter;

4. The beam tracking method of claim 2, wherein the statistical performance result comprises a statistical value of a tracking accuracy indicator;

5. The method of any of claims 2-4, wherein the target configuration parameters include a total number of slots in the set of slots and a beam width.

6. A beam tracking method implemented based on the transmission slot configuration method of claim 1, comprising:

7. The beam tracking method of claim 6, wherein the statistical performance result comprises a statistical value of a tracking accuracy indicator;

8. The beam tracking method of claim 6, wherein the determining motion state information based on the first reference signal comprises:

determining the receiving power of the first reference signal, and calculating the distance between the terminal and the base station based on the receiving power;

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the transmission slot configuration method of claim 1 or implements the beam tracking method of any one of claims 2-8.

10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the transmission slot configuration method according to claim 1 or implements the beam tracking method according to any one of claims 2-8.