JP2019176428A - Base station and user device - Google Patents

Abstract

To shorten time required for beam search, in which beams to be used are selected from a plurality of candidate beams.SOLUTION: A base station comprises: a control unit to determine a beam group including one or more beams on the basis of information indicating a situation of a user device; and a transmission unit to transmit a signal to the user device using each beam in the beam group.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a base station and a user apparatus in a wireless communication system.

  In 3GPP (3rd Generation Partnership Project), in order to realize a further increase in system capacity, a further increase in data transmission speed, a further reduction in delay in the radio section, etc., NR (New Radio) or 5G A study of a so-called wireless communication system is in progress (for example, Non-Patent Document 1). In NR, various wireless technologies have been studied in order to satisfy the requirement of achieving a delay of 1 ms or less while achieving a throughput of 10 Gbps or more.

  In NR, it is assumed that a wide frequency range from a low frequency band similar to LTE to a higher frequency band than LTE is used. In particular, since propagation loss increases in a high frequency band, in order to compensate for this, it has been studied to apply beam forming with a high beam gain and a narrow beam width.

  When transmitting a signal by applying beam forming, the base station or the user apparatus performs, for example, beam searching (beam sweeping, etc.), so that the reception quality is improved on the communication partner side, so that a plurality of candidate beams can be obtained. Select a beam to be used for data communication.

3GPP TS 38.300 V15.0.0 (2017-12)

  In NR, it is assumed that many thin beams are formed by using, for example, Massive MIMO technology. However, when the number of beams is large, there is a problem that it takes time to search for a beam.

  The present invention has been made in view of the above points, and provides a technique capable of shortening the time required for beam search in beam search for selecting a beam to be used from a plurality of candidate beams. Objective.

According to the disclosed technology, a control unit that determines a beam group including one or a plurality of beams based on information indicating a status of the user apparatus;
There is provided a base station comprising: a transmission unit that transmits a signal to the user apparatus using each beam in the beam group.

  According to the disclosed technique, a technique is provided that makes it possible to shorten the time required for beam search in beam search for selecting a beam to be used from a plurality of candidate beams.

It is a block diagram of the communication system in this Embodiment. It is a figure for demonstrating the operation example of a communication system. It is a figure for demonstrating the operation example of a communication system. It is a figure which shows the example of a beam group. It is a figure which shows the example of a beam group. It is a figure for demonstrating the example of the determination method of a beam group. It is a figure which shows the structural example of the beam estimation part in the case of using a neural network. It is a figure which shows the specific example of a neural network. It is a figure which shows the example of the learning method. It is a figure which shows switching of the neural network according to a place. It is a figure which shows the processing flow at the time of learning. It is a figure which shows the processing flow at the time of beam group estimation. 3 is a diagram illustrating an example of a functional configuration of a user device 10. FIG. 2 is a diagram illustrating an example of a functional configuration of a base station 20. FIG. It is a figure which shows an example of the hardware constitutions of the user apparatus 10 and the base station 20.

  Hereinafter, an embodiment (this embodiment) of the present invention will be described with reference to the drawings. The embodiment described below is only an example, and the embodiment to which the present invention is applied is not limited to the following embodiment.

(Whole system configuration)
FIG. 1 shows a configuration diagram of a radio communication system according to the present embodiment. The radio communication system according to the present embodiment includes a user apparatus 10 and a base station 20, as shown in FIG. In FIG. 1, one user apparatus 10 and one base station 20 are shown, but this is an example, and there may be a plurality of each.

  The user device 10 is a communication device having a wireless communication function such as a smartphone, a mobile phone, a tablet, a wearable terminal, a M2M (Machine-to-Machine) communication module, and is wirelessly connected to the base station 20 and wireless communication system. Use various communication services provided by. The base station 20 is a communication device that provides one or more cells and wirelessly communicates with the user device 10. Both the user apparatus 10 and the base station 20 can transmit and receive signals by performing beamforming. In particular, in the present embodiment, the base station 20 includes a large number of antenna elements and forms a sharp beam by using Massive MIMO technology, and can perform high-speed transmission in a wide area even in a high frequency band. Also, the user apparatus 10 may include a large number of antenna elements and use the Massive MIMO technology.

  In the present embodiment, the duplex system may be a TDD (Time Division Duplex) system or an FDD (Frequency Division Duplex) system.

  In the description of this embodiment, transmitting a signal using a beam is synonymous with transmitting a signal multiplied by a precoding vector (precoded with a precoding vector). Moreover, transmitting a signal using a beam may be expressed as transmitting a signal through a specific antenna port. An antenna port refers to a logical antenna port defined in the 3GPP standard. The beam forming method is not limited to the above method. For example, in the user equipment 10 with multiple antenna elements / base station 20 with multiple antenna elements, a method of changing the angle of each antenna element may be used, or a method of using a precoding vector and an angle of the antenna element are changed. A method of combining methods may be used, or other methods may be used.

  The base station 20 performs a beam search in order to transmit a signal to the user apparatus 10 using an appropriate beam. As an example, the base station 20 transmits a signal (synchronization signal, reference signal, SS block, or the like) using a large number of beams, and the user apparatus 20 measures received power for each signal associated with the beam and receives the most. Identification information (for example, beam ID, port number, etc.) of a high-power beam signal is notified to the base station 10 as feedback. Thereby, the base station 20 can determine an optimum beam for the user apparatus 10. However, this method has a problem that the overhead is large, and when the number of beams is large, the beam search time becomes long and quick control cannot be performed. A processing method according to this embodiment for solving such a problem will be described below.

(Processing method in this embodiment)
In the present embodiment, a plurality of beam groups are predetermined. Each beam group has one beam or multiple beams. The beam group determination process in the present embodiment can be performed by the base station 20 or the user apparatus 10. Hereinafter, regarding the determination of the beam group, the process described by taking only the base station 20 as an example can be executed by the user apparatus 10 as well.

  The base station 20 holds information on a plurality of beam groups in advance. An example of a plurality of predetermined beam groups is shown in FIGS. 4 and 5 show an example in which the beam formed by the base station 20 is represented by an angle between the vertical direction and the horizontal direction, this is merely an example. 4 and 5, the beam width of each beam constituting the beam group is different. The beam width of each beam shown in FIG. 4 is smaller than the beam width of each beam shown in FIG. In the example shown in FIG. 4, beam groups A to H are shown. In the example shown in FIG. 5, beam groups I to M are shown. As described above, the number of beams belonging to the beam group may be one or plural.

  Further, for example, the following groups may be defined as an example for a beam that considers only the horizontal direction.

  Group 1: A group consisting of 21 beams in increments of 1 ° centered on 10 ° (0 ° to 20 °).

  Group 2: A group (0 ° to 20 °) consisting of 5 beams in 5 ° increments centered on 10 °.

  Group 3: A group (0 ° to 10 °) composed of 3 beams in 5 ° increments centered on 5 °.

  Group 4: A group (0 ° to 0 °) composed of one beam in increments of 0 ° centered on 0 °.

  The base station 20 determines a beam group to be applied to the user apparatus 10 according to the situation of the user apparatus 10, and transmits, for example, data to the user apparatus 10 from one or a plurality of beams included in the beam group. Determine the beam to use for transmission. As described above, in this embodiment, since the beam is selected from the range of the beam group defined in advance, the beam search range can be made narrower than the conventional one, overhead is reduced, and an appropriate beam is selected quickly. It becomes possible to do. That is, the time required for beam search can be shortened as compared with the prior art.

  With reference to FIG. 2, the operation example when the base station 20 determines the beam used with respect to the user apparatus 10 is demonstrated.

  In S101, the base station 20 acquires information regarding the user apparatus 10. The information is information representing the situation of the user device 10 described above. The information includes, for example, any one or a combination of position information, direction information, speed, received power, delay (TA), distance from the base station, and beam information used for past communication. It is. In addition, the base station 20 may acquire information other than the information presented here as information indicating the status of the user device 10. The information in S101 can be acquired from the user device 10. However, the information in S101 may include information acquired from a device other than the user device 10 (for example, an operation system, an upper node, etc.).

  The position information is, for example, latitude / longitude information of the user device 10. The position information may be latitude / longitude / height. The direction information is a direction from the base station 20 toward the user apparatus 10 (or a direction from the user apparatus 10 toward the base station 20). When the direction is uniquely determined based on the position information, the direction information may not be acquired separately from the position information. The speed is a speed at which the user apparatus 10 moves (eg, m / second). The speed may be information including the speed (for example, m / second) at which the user apparatus 10 moves and the moving direction.

  The received power is, for example, RSRP measured in the user apparatus 10. The delay information is, for example, a TA command value notified from the base station 20 to the user apparatus 10.

  Regarding the beam information used for the past communication, the user apparatus 10 may hold the information for each position information, and the base station 20 may acquire the information from the user apparatus 10, or the base station 20 may acquire the information. Information on the beam used for the past communication may be held for each and every position information, and it may be used.

  In S <b> 102, the base station 20 determines a beam group to be applied to the user apparatus 10 based on information representing the status of the user apparatus 10 acquired in S <b> 101. The method for determining the beam group is not limited to a specific method. For example, a method using a database (table) in which information indicating the status of the user apparatus 10 is associated with the beam group to be applied (this is a determination method 1). And a method using a neural network (referred to as decision method 2).

  In the determination method 1, for example, the base station 20 holds the table shown in FIG. 6 in the data storage unit. In the example illustrated in FIG. 6, position information, direction information, and speed information are used as information representing the status of the user device 10. For example, when the position information of the user apparatus 10 is position 1, the direction information of the user apparatus 10 is direction 2, and the speed information of the user apparatus 10 is speed 1, the base station 20 refers to the table, the position 1, direction 2. The beam group C corresponding to the velocity 1 is determined as a beam group to be applied to the user apparatus 10. The determination method 2 using the neural network will be described later.

  In S103 of FIG. 2, the base station 20 transmits a signal (for example, a synchronization signal, a reference signal, or an SS block) using each beam constituting the beam group determined in S102. In S103 or before S103, the base station 20 may notify the user apparatus 10 of the beam group identification information determined in S102. Thereby, the user apparatus 10 can grasp | ascertain the signal which should be measured. Further, without notifying the beam group identification information, the user apparatus 10 estimates the beam group determined by the base station 20 in the same manner as the beam group determination method in the base station 20, and determines the beam belonging to the beam group. It is good also as measuring a signal.

  The user apparatus 10 determines the best beam in the beam group by measuring the signal received in S103, and transmits the identification information of the beam (or the identification information of the signal associated with the beam) to the base station 20. (S104). The base station 20 can execute data transmission using the beam notified from the user apparatus 10 (S106).

  In the above example, the base station 20 determines the beam group in S102. Instead, the user apparatus 10 determines the beam group and notifies the base station 20 of the determined beam group. It is good as well. In this case, the base station 20 may notify the user apparatus 10 of information necessary for determining the beam group (information indicating the status of the user apparatus 10).

  Next, an operation example when the user apparatus 10 determines a beam to be used for uplink signal transmission to the base station 20 will be described with reference to FIG.

  In S201, the base station 20 acquires information related to the user apparatus 10. An example of the information is as described above.

  In S202, the base station 20 notifies the user device 10 of information representing the status of the user device 10 acquired in S201. When the user apparatus 10 itself can acquire all the information necessary for determining the beam group, the user apparatus 10 determines the beam group based on the information acquired by itself without performing S201 and S202. It is good.

  In S <b> 203, the user apparatus 10 determines a beam group to be applied by the user apparatus 10 based on information representing the status of the user apparatus 10. The method for determining the beam group is the same as the determination method in the base station 20 (determination method 1 or determination method 2).

  In the determination method 1, for example, the user device 10 holds the table illustrated in FIG. 6 in the data storage unit. For example, when the position information of the user device 10 is position 1, the direction information of the user device 10 is direction 2, and the speed information of the user device 10 is speed 1, the user device 10 refers to the table, and the position 1, direction 2. The beam group C corresponding to the velocity 1 is determined as the beam group to which the user apparatus 10 applies. The determination method 2 using the neural network will be described later.

  In S204 of FIG. 3, the user apparatus 10 transmits a signal (for example, a synchronization signal or a reference signal) using each beam constituting the beam group determined in S203. In S204 or before S204, the user apparatus 10 may notify the base station 20 of the beam group determined in S203. Further, the base station 20 estimates the beam group determined by the user apparatus 10 by the same method as the beam group determination method in the user apparatus 10 without notifying the beam group identification information, and determines the beam belonging to the beam group. It is good also as measuring a signal.

  The base station 20 measures the signal received in S204, determines the best beam in the beam group, and transmits identification information and the like of the beam to the user apparatus 10 (S205). For example, the user apparatus 10 performs uplink data transmission using the beam notified from the base station 10 (S207).

  In the above example, the user apparatus 10 determines the beam group in S203. Instead, the base station 20 determines the beam group and notifies the user apparatus 10 of the determined beam group. It is good as well.

(Beam group determination method using neural network)
Hereinafter, a beam group determination method (determination method 2 described above) using a neural network will be described. In this embodiment, a deep neural network (DNN) that performs learning by deep learning is used as the neural network (NN). The substance of the neural network is software executed on hardware such as a CPU.

  The beam group determination method using the neural network can be implemented in either the base station 20 or the user apparatus 10. Hereinafter, for the sake of convenience, description will be given mainly using the base station 20 as an example. The configuration and processing method described below also apply to the user device 10.

  As a processing unit for determining a beam group, the base station 20 includes a control unit 230 (the user device 10 is the control unit 130). FIG. 7 shows a functional configuration for determining a beam group in the control unit 230. The control unit 230 (control unit 130) includes a function of selecting a beam to be used from the beam group in addition to the function for determining the beam group.

  As shown in FIG. 7, the control unit 230 includes an urban structure parameter extraction unit 231 and a beam group estimation unit 232.

  The city structure parameter extraction unit 231 receives map data such as a house map and extracts city structure parameters that contribute to beam group estimation by convolution NN. The city structure parameter is, for example, a parameter indicating whether a point at another position can be seen from a point at a certain position. The city structure parameter is a parameter closely related to the positional relationship between the base station, the user device, and the surrounding buildings. Note that it is determined by learning which city structure parameter is optimal to use.

  The beam group estimation unit 232 receives the city structure parameter, which is the output of the city structure parameter extraction unit 231, and the system parameter, and determines a beam group based on these parameters. Note that the beam group estimation unit 232 uses the fully coupled NN to express a function for estimating a beam group from input parameters.

  The system parameters that are input to the beam group estimation unit 232 include information representing the situation of the user device 10 described above. The system parameters include, for example, a transmission / reception distance, a reception level fed back from a user apparatus, delay information (TA), a use frequency, an antenna height of a base station, an antenna height of a user apparatus, and presence / absence of line of sight.

  FIG. 8 shows a configuration example of a neural network that realizes the city structure parameter extraction unit 231 + beam group estimation unit 232. As shown in FIG. 8, the city structure parameter extraction unit 231 outputs a plurality of parameter values from map data (eg, building map and line-of-sight map). Further, the beam group estimation unit 232 outputs an estimated beam group based on a plurality of input parameters (output from the city structure parameter extraction unit 231 and system parameters (eg, distance between transmission and reception)).

  The C layer indicated by “C” in the configuration shown in FIG. 8 is a convolution layer, and local pattern features are extracted by convolution of the filter. The P layer indicated by “P” is a pooling layer, and allows a slight positional shift by aggregating (pooling) the values of the small areas into one value with respect to the input. The F layer indicated by “F” is a fully connected layer, and performs classification based on the feature values obtained in the C layer and the P layer.

  FIG. 9 shows an outline of a learning method in the NN corresponding to the city structure parameter extraction unit 231 + beam group estimation unit 232. As shown in FIG. 9, the weight in the NN is updated based on the error between the output from the NN and information given in advance. For example, in learning, based on an error (eg, angle) between the center beam of a beam group estimated by the NN based on certain input data and the center beam of the beam group corresponding to the input data in the data set, the NN Update the weight of.

(About NN switching)
When NN is used as the “city structure parameter extraction unit 231 + beam group estimation unit 232” in the base station 20 (same for the user device 10), any one of the statuses of the user device 10 (eg, location, time zone, moving speed) (One or more) may be grouped, NN may be provided for each group, and NN may be learned for each group. In this case, the base station 20 selects and uses an NN corresponding to the current status of the user apparatus 10 from a plurality of NNs provided for each group. That is, the NN to be used is switched according to the status of the user device 10.

  FIG. 10 illustrates an example of location grouping when NN switching is performed according to the location of the user device 10. As shown in FIG. 10, NN to be used is determined for each place (area). For example, when the base station 20 detects that the user apparatus 10 exists at a place indicated by A, the base station 20 uses the NN 5 as the “city structure parameter extraction unit 231 + beam group estimation unit 232”.

  Further, when switching the NN according to the time zone of the current time, for example, “(time zone 1, NN1), (time zone 2, NN2), (time zone 3, NN3),. Group as follows. In this case, for example, if the time zone at which the base station 20 communicates with the user apparatus 10 is the time zone 2, the base station 20 determines a beam group using NN2. Since the fluctuation degree of the radio wave changes depending on the time zone (eg, the day time zone and the night time zone), a more appropriate beam group can be determined by switching the NN according to the time zone.

  In addition, for example, “(time zone 1 · location 1, NN11), (time zone 1 · location 2, NN12), (time zone 2 · location 1” may be grouped by both location and time zone. , NN21),. In this case, for example, if the time zone at which the base station 20 communicates with the user apparatus 10 is the time zone 1 and the place is the place 1, the base station 20 determines the beam group using the NN 11.

  The grouping and switching of NN based on the status as described above can be similarly applied when the user apparatus 10 determines an uplink beam group. When the user apparatus 10 determines an uplink beam group, the base station 20 notifies the user apparatus 10 of status information or information indicating an NN to be used. The use NN may be determined based on the information notified from the base station 20.

(Processing flow during learning)
With reference to FIG. 11, the processing flow at the time of learning of NN in the base station 20 is demonstrated. Note that NN learning itself does not have to be performed by the base station 20, but here, as an example, it is assumed that learning is performed by the base station 20. Note that although learning at the base station 20 is shown here, learning of the NN used by the user device 10 is also performed in the user device 10 (or in a device other than the user device 10) in the same manner as learning in the base station 20. It is feasible.

  First, it is assumed that learning data (system parameters) is stored in a center DB (for example, an operation system DB). The learning data is used for, for example, information (position, speed, direction, etc.) indicating the status of the user apparatus, information on a connected base station that communicates with the user apparatus, and communication between the user apparatus and the connected base station. Information on appropriate beam groups. Further, it is possible to refer to the map DB and to acquire map data from the map DB.

  In S301, system parameters for learning are acquired from the center DB by the base station 20, and map data is acquired in S302. In S303, learning parameters in “city structure parameter extraction unit 231 + beam group estimation unit 232” are set. The learning parameters are, for example, the number of layers, the number of neurons, the type of activation function, and the like.

  The map data is input to the city structure parameter extraction unit 231. In S304, the city structure parameter extraction unit 231 calculates the city structure parameter. Further, the city structure parameter and the system parameter are input to the beam group estimation unit 232, and in S305, the beam group estimation unit 232 calculates the beam group and outputs the calculated beam group index. In S306, it is determined whether or not the learning convergence condition is satisfied. If the convergence condition is satisfied, the process ends. If the convergence condition is not satisfied, the process proceeds to S307.

  In S307, the base station 20 (for example, the control unit 230) compares the calculated beam group with the beam group in the learning data, and calculates an error. The error is, for example, an error (eg, angle) between the calculated beam center of the beam group and the beam center of the beam group in the used learning data. Based on this error, the weight of all combined NN is updated (S308) and the weight of convolution NN is updated (S309). Thereafter, the same processing is repeated until the convergence condition is satisfied while updating the weight.

(Processing flow when determining beam groups)
Next, with reference to FIG. 12, the processing flow in the case of determining a beam group using learned NN is demonstrated. That is, a processing flow during service operation will be described. In addition, although the beam group determination process in the base station 20 is shown here, the process in the user apparatus 10 is the same as the process in the base station 20.

  In S401, the base station 20 (for example, the control unit 230) acquires an estimation condition (system parameter), acquires map data in S402, and sets a learning parameter in S403.

  The map data is input to the city structure parameter extraction unit 231. In S404, the city structure parameter extraction unit 231 calculates the city structure parameter. In addition, the city structure parameter and the system parameter are input to the beam group estimation unit 232, and in S405, the beam group estimation unit 232 calculates the beam group and outputs the index of the calculated beam group. Thereafter, for example, the processes of S103 to S106 described with reference to FIG. 2 are executed.

  During service operation, for example, the base station 20 acquires an evaluation value (for example, reception power of the user apparatus 10 and time taken to determine a beam to be used) when a beam group obtained by calculation is used. Thus, NN learning may be performed in parallel with service operation so as to improve the evaluation value.

(Device configuration)
Next, functional configuration examples of the user apparatus 10 and the base station 20 that execute the processing operations described so far will be described. The user apparatus 10 and the base station 20 have all the functions described in this embodiment. However, the user apparatus 10 and the base station 20 may include only a part of all the functions described in the present embodiment. Note that the user apparatus 10 and the base station 20 may be collectively referred to as a communication apparatus.

<User device>
FIG. 13 is a diagram illustrating an example of a functional configuration of the user device 10. As illustrated in FIG. 13, the user device 10 includes a transmission unit 110, a reception unit 120, a control unit 130, and a data storage unit 140. The functional configuration shown in FIG. 13 is merely an example. As long as the operation according to the present embodiment can be executed, the function classification and the name of the function unit may be anything. The transmission unit 110 may be referred to as a transmitter, and the reception unit 120 may be referred to as a receiver.

  The transmission unit 110 creates a transmission from the transmission data and transmits the transmission signal wirelessly. Further, the transmission unit 110 forms one or a plurality of beams. The receiving unit 120 wirelessly receives various signals and acquires higher layer signals from the received physical layer signals. The reception unit 120 includes a measurement unit 121 that measures a received signal and acquires received power and the like.

  As described above, the control unit 130 includes a function of determining a beam group and a function of selecting a beam from the beam group.

  In the data storage unit 140, for example, the table shown in FIG. 6 or parameters for operating the NN by the control unit 130 are stored.

  For example, the control unit 130 is configured to determine a beam group including one or a plurality of beams based on information indicating the status of the user apparatus, and the transmission unit 110 uses each beam in the beam group. Configured to transmit a signal to the base station.

  The receiving unit 120 is configured to receive feedback information from the base station that receives the signal, and the control unit 130 selects one beam from the beam group based on the feedback information. May be configured.

  The information indicating the status of the user apparatus is, for example, one of position information of the user apparatus, direction information indicating a direction from the base station to the user apparatus, and speed information indicating a speed at which the user apparatus moves. Includes one, any two, or all.

  The control unit 130 may determine the beam group by referring to a database storing information indicating the status of the user apparatus and identification information of the beam group, or based on the information indicating the status of the user apparatus. The beam group may be determined by a neural network that outputs the beam group.

<Base station 20>
FIG. 14 is a diagram illustrating an example of a functional configuration of the base station 20. As illustrated in FIG. 14, the base station 20 includes a transmission unit 210, a reception unit 220, a control unit 230, and a data storage unit 240. The functional configuration shown in FIG. 14 is merely an example. As long as the operation according to the present embodiment can be executed, the function classification and the name of the function unit may be anything. The transmitter 210 may be referred to as a transmitter, and the receiver 220 may be referred to as a receiver.

  The transmission unit 210 includes a function of generating a signal to be transmitted to the user apparatus 10 and transmitting the signal wirelessly. Further, the transmission unit 210 forms one or a plurality of beams. The receiving unit 220 includes a function of receiving various signals transmitted from the user apparatus 10 and acquiring, for example, higher layer information from the received signals. In addition, the reception unit 220 includes a measurement unit 221 that measures a received signal and acquires received power and the like.

  As described above, the control unit 230 includes a function of determining a beam group and a function of selecting a beam from the beam group.

  In the data storage unit 140, for example, the table shown in FIG. 6 or parameters for operating the NN by the control unit 230 are stored.

  For example, the control unit 230 is configured to determine a beam group including one or a plurality of beams based on information indicating a status of the user apparatus, and the transmission unit 210 uses each beam in the beam group. Configured to transmit a signal to the user equipment.

  The receiving unit 220 is configured to receive feedback information from the user apparatus that receives the signal, and the control unit selects one beam from the beam group based on the feedback information. Composed.

  The information indicating the status of the user apparatus is, for example, one of position information of the user apparatus, direction information indicating a direction from the base station to the user apparatus, and speed information indicating a speed at which the user apparatus moves. Includes one, any two, or all.

  The control unit 230 may determine the beam group by referring to a database storing information indicating the status of the user apparatus and identification information of the beam group, or based on the information indicating the status of the user apparatus. The beam group may be determined by a neural network that outputs the beam group.

<Hardware configuration>
The block diagrams (FIGS. 13 to 14) used in the description of the above-described embodiment show functional unit blocks. These functional blocks (components) are realized by any combination of hardware and / or software. Further, the means for realizing each functional block is not particularly limited. That is, each functional block may be realized by one device in which a plurality of elements are physically and / or logically combined, or two or more devices physically and / or logically separated may be directly and directly. It may be realized by a plurality of these devices connected indirectly (for example, wired and / or wirelessly).

  Further, for example, both the user apparatus 10 and the base station 20 in an embodiment of the present invention may function as a computer that performs processing according to the present embodiment. FIG. 15 is a diagram illustrating an example of a hardware configuration of the user apparatus 10 and the base station 20 according to the present embodiment. Each of the above-described user apparatus 10 and base station 20 may be physically configured as a computer apparatus including a processor 1001, a memory 1002, a storage 1003, a communication apparatus 1004, an input apparatus 1005, an output apparatus 1006, a bus 1007, and the like. Good.

  In the following description, the term “apparatus” can be read as a circuit, a device, a unit, or the like. The hardware configuration of the user apparatus 10 and the base station 20 may be configured to include one or a plurality of apparatuses indicated by 1001 to 1006 shown in the figure, or may be configured not to include some apparatuses. May be.

  Each function in the user apparatus 10 and the base station 20 is performed by causing the processor 1001 to perform computation by reading predetermined software (program) on hardware such as the processor 1001 and the memory 1002, and performing communication by the communication apparatus 1004 and memory 1002. This is realized by controlling reading and / or writing of data in the storage 1003.

  For example, the processor 1001 controls the entire computer by operating an operating system. The processor 1001 may be configured by a central processing unit (CPU) including an interface with a peripheral device, a control device, an arithmetic device, a register, and the like.

  In addition, the processor 1001 reads a program (program code), software module, or data from the storage 1003 and / or the communication device 1004 to the memory 1002, and executes various processes according to these. As the program, a program that causes a computer to execute at least a part of the operations described in the above embodiments is used. For example, the transmission unit 110, the reception unit 120, the control unit 130, and the data storage unit 140 of the user device 10 illustrated in FIG. 13 may be realized by a control program stored in the memory 1002 and operating on the processor 1001. For example, the transmission unit 210, the reception unit 220, the control unit 1230, and the data storage unit 240 of the base station 20 illustrated in FIG. 14 are stored in the memory 1002 and realized by a control program that operates on the processor 1001. Also good. Although the above-described various processes have been described as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. Note that the program may be transmitted from a network via a telecommunication line.

  The memory 1002 is a computer-readable recording medium, for example, a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), a RAM (Random Access Memory), and the like. May be. The memory 1002 may be called a register, a cache, a main memory (main storage device), or the like. The memory 1002 can store a program (program code), a software module, and the like that can be executed to perform the processing according to the embodiment of the present invention.

  The storage 1003 is a computer-readable recording medium such as an optical disc such as a CD-ROM (Compact Disc ROM), a hard disc drive, a flexible disc, a magneto-optical disc (eg, a compact disc, a digital versatile disc, a Blu-ray). (Registered trademark) disk, smart card, flash memory (for example, card, stick, key drive), floppy (registered trademark) disk, magnetic strip, and the like. The storage 1003 may be referred to as an auxiliary storage device. The storage medium described above may be, for example, a database, server, or other suitable medium including the memory 1002 and / or the storage 1003.

  The communication device 1004 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also referred to as a network device, a network controller, a network card, a communication module, or the like. For example, the transmission unit 110 and the reception unit 120 of the user device 10 may be realized by the communication device 1004. Further, the transmission unit 210 and the reception unit 220 of the base station 20 may be realized by the communication device 1004.

  The input device 1005 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, or the like) that accepts an external input. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. The input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

  Each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured with a single bus or may be configured with different buses between apparatuses.

  In addition, the user apparatus 10 and the base station 20 are respectively a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), an FPGA (GRAM) It may be configured including hardware, and a part or all of each functional block may be realized by the hardware. For example, the processor 1001 may be implemented by at least one of these hardware.

(Summary of embodiment)
As described above, according to the present embodiment, a control unit that determines a beam group including one or a plurality of beams based on information indicating the status of the user apparatus, and each beam in the beam group is used. And a transmission unit that transmits a signal to the user apparatus.

  With the above configuration, a technique is provided that can shorten the time required for beam search in beam search for selecting a beam to be used from a plurality of candidate beams.

  The base station includes a receiving unit that receives feedback information from the user apparatus that receives the signal, and the control unit selects one beam from the beam group based on the feedback information. Also good. With this configuration, an appropriate beam can be selected from the beam group.

  The information indicating the status of the user apparatus is one of position information of the user apparatus, direction information indicating a direction from the base station to the user apparatus, and speed information indicating a speed at which the user apparatus moves. , Any two or all of them may be included. With this configuration, an appropriate beam group can be determined.

  The control unit may determine the beam group by referring to a database storing information indicating the status of the user apparatus and identification information of the beam group. With this configuration, an appropriate beam group can be determined with relatively simple processing.

  The said control part is good also as determining a beam group by the neural network which outputs a beam group based on the information which shows the condition of a user apparatus. With this configuration, an appropriate beam group can be determined.

  Further, according to the present embodiment, a control unit that determines a beam group including one or a plurality of beams based on information indicating the status of the user apparatus, and a signal to the base station using each beam in the beam group There is provided a user apparatus including a transmission unit that transmits

  With the above configuration, a technique is provided that can shorten the time required for beam search in beam search for selecting a beam to be used from a plurality of candidate beams.

(Supplement of embodiment)
Although the embodiments of the present invention have been described above, the disclosed invention is not limited to such embodiments, and those skilled in the art will understand various variations, modifications, alternatives, substitutions, and the like. I will. Although specific numerical examples have been described to facilitate understanding of the invention, these numerical values are merely examples, and any appropriate values may be used unless otherwise specified. The classification of items in the above description is not essential to the present invention, and the items described in two or more items may be used in combination as necessary, or the items described in one item may be used in different items. It may be applied to the matters described in (if not inconsistent). The boundaries between functional units or processing units in the functional block diagram do not necessarily correspond to physical component boundaries. The operations of a plurality of functional units may be physically performed by one component, or the operations of one functional unit may be physically performed by a plurality of components. About the processing procedure described in the embodiment, the processing order may be changed as long as there is no contradiction. For convenience of description of the processing, the user apparatus 10 and the base station 20 have been described using functional block diagrams. However, such an apparatus may be realized by hardware, software, or a combination thereof. The software operated by the processor of the user apparatus 10 according to the embodiment of the present invention and the software operated by the processor of the base station 20 according to the embodiment of the present invention are random access memory (RAM), flash memory, and read-only, respectively. It may be stored in a memory (ROM), EPROM, EEPROM, register, hard disk (HDD), removable disk, CD-ROM, database, server, or any other suitable storage medium.

  The notification of information is not limited to the aspect / embodiment described in the present specification, and may be performed by other methods. For example, notification of information may be physical layer signaling (for example, DCI (Downlink Control Information), UCI (Uplink Control Information)), higher layer signaling (for example, RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling). It may be implemented by broadcast information (MIB (Master Information Block), SIB (System Information Block)), other signals, or a combination thereof, and RRC signaling may be referred to as an RRC message, for example, RRC Connection setup (RRC Connect on Setup) message, it may be a RRC connection reconfiguration (RRC Connection Reconfiguration) message.

  Each aspect / embodiment described herein includes LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G, 5G, FRA (Future Radio Access), W-CDMA. (Registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, UWB (Ultra-WideBand), The present invention may be applied to a Bluetooth (registered trademark), a system using other appropriate systems, and / or a next generation system extended based on these systems.

  As long as there is no contradiction, the order of the processing procedures, sequences, flowcharts, and the like of each aspect / embodiment described in this specification may be changed. For example, the methods described herein present the elements of the various steps in an exemplary order and are not limited to the specific order presented.

  The specific operation assumed to be performed by the base station 20 in this specification may be performed by an upper node in some cases. In a network composed of one or more network nodes having a base station 20, various operations performed for communication with the user equipment 10 may be performed by the base station 20 and / or other than the base station 20. Obviously, it can be done by a network node (for example, but not limited to MME or S-GW). Although the case where there is one network node other than the base station 20 in the above is illustrated, a combination of a plurality of other network nodes (for example, MME and S-GW) may be used.

  Each aspect / embodiment described in this specification may be used independently, may be used in combination, or may be switched according to execution.

  User equipment 10 can be used by those skilled in the art to subscriber stations, mobile units, subscriber units, wireless units, remote units, mobile devices, wireless devices, wireless communication devices, remote devices, mobile subscriber stations, access terminals, mobile terminals, It may also be referred to as a wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other appropriate terminology.

  Base station 20 may also be referred to by those skilled in the art as NB (NodeB), eNB (enhanced NodeB), base station (Base Station), gNB, or some other suitable terminology.

  As used herein, the terms “determining” and “determining” may encompass a wide variety of actions. “Judgment” and “determination” are, for example, judgment (judging), calculation (calculating), calculation (computing), processing (processing), derivation (investigation), investigation (investigation), search (loking up) (for example, table) , Searching in a database or another data structure), considering ascertaining “determining”, “determining”, and the like. Further, “determination” and “determination” are reception (for example, receiving information), transmission (for example, transmitting information), input (input), output (output), and access. (Accessing) (for example, accessing data in a memory) may be considered as “determining” or “determining”. In addition, “determination” and “determination” are regarded as “determination” and “determination” when resolving, selecting, selecting, establishing, comparing, etc. May be included. In other words, “determination” and “determination” may include considering some operation as “determination” and “determination”.

  As used herein, the phrase “based on” does not mean “based only on,” unless expressly specified otherwise. In other words, the phrase “based on” means both “based only on” and “based at least on.”

  As long as the terms “including”, “including”, and variations thereof are used herein or in the claims, these terms are similar to the term “comprising”. It is intended to be comprehensive. Furthermore, the term “or” as used herein or in the claims is not intended to be an exclusive OR.

  Throughout this disclosure, if articles are added by translation, for example, a, an, and the in English, these articles are not clearly indicated otherwise from the context, Multiple can be included.

  Although the present invention has been described in detail above, it will be apparent to those skilled in the art that the present invention is not limited to the embodiments described herein. The present invention can be implemented as modified and changed modes without departing from the spirit and scope of the present invention defined by the description of the scope of claims. Therefore, the description of the present specification is for illustrative purposes and does not have any limiting meaning to the present invention.

DESCRIPTION OF SYMBOLS 10 User apparatus 110 Transmission part 120 Signal receiving part 130 Control part 140 Data storage part 20 Base station 210 Transmission part 220 Reception part 230 Control part 240 Data storage part 1001 Processor 1002 Memory 1003 Storage 1004 Communication apparatus 1005 Input apparatus 1006 Output apparatus

Claims (6)

A control unit that determines a beam group including one or more beams based on information indicating a status of the user apparatus;
A base station comprising: a transmission unit that transmits a signal to the user apparatus using each beam in the beam group. A receiving unit that receives feedback information from the user apparatus that receives the signal;
The base station according to claim 1, wherein the control unit selects one beam from the beam group based on the feedback information. The information indicating the status of the user apparatus is one of position information of the user apparatus, direction information indicating a direction from the base station to the user apparatus, and speed information indicating a speed at which the user apparatus moves. The base station according to claim 1, wherein any two or all of the base stations are included. The base station according to any one of claims 1 to 3, wherein the control unit determines a beam group by referring to a database that stores information indicating a state of a user apparatus and beam group identification information. . The base station according to any one of claims 1 to 3, wherein the control unit determines the beam group by a neural network that outputs the beam group based on information indicating a state of the user apparatus. A control unit that determines a beam group including one or more beams based on information indicating a status of the user apparatus;
A transmission unit that transmits a signal to a base station using each beam in the beam group.

Images