WO2024053559A1

WO2024053559A1 - Information processing device, terminal device, information processing method, and communication method

Info

Publication number: WO2024053559A1
Application number: PCT/JP2023/031852
Authority: WO
Inventors: 寿之示沢; 亮澤井
Original assignee: ソニーグループ株式会社
Priority date: 2022-09-09
Filing date: 2023-08-31
Publication date: 2024-03-14

Abstract

An information processing device according to the present disclosure is provided with a control unit. The control unit generates virtual space estimation information relating to wireless communication between a base station and a terminal device using a virtual communication environment generated on the basis of positional information relating to the position in real space of the base station and/or the terminal device, and communication environment information relating to the communication environment of the real space. The control unit determines a communication parameter of the base station and/or the terminal device on the basis of the virtual space estimation information.

Description

Information processing devices, terminal devices, information processing methods, and communication methods

The present disclosure relates to an information processing device, a terminal device, an information processing method, and a communication method.

In wireless communication, there is a known technology that achieves more suitable communication by appropriately controlling wireless resources and communication parameters. For example, suitable communication can be achieved by adaptively controlling communication parameters depending on the state of the propagation path between the base station and the terminal device.

For example, the base station transmits a known signal, and the terminal device receives the known signal, so that the terminal device can estimate the state of the propagation path. Furthermore, by feeding back the state of the propagation path estimated by the terminal device to the base station, the base station can set suitable communication parameters for the terminal device.

In addition, when there is no feedback from the terminal device regarding the propagation path status, the base station uses a statistical propagation model (e.g., path loss model, interference model, etc.) according to the distance from the terminal device to calculate the average propagation Able to recognize road conditions.

Japanese Patent Application Publication No. 2021-108459

However, radio wave propagation in wireless communication varies greatly depending on, for example, the presence or absence of obstacles between a base station, which is a transmission point, and a terminal device, which is a reception point. Furthermore, considering interference with neighboring cells and surrounding base stations, the base station determines communication parameters so that the interference is minimized.

Therefore, when communicating with the communication parameters determined by the base station, the suitable wireless Communication may not be possible. For example, if a base station determines the minimum transmission power to minimize interference, and an obstacle exists between the base station and the terminal device, this obstacle will cause the signal transmitted by the base station to may not reach the terminal device.

Therefore, it is desirable to perform suitable wireless communication control based on the radio wave propagation environment in real space, such as the presence or absence of obstacles.

Therefore, the present disclosure provides a mechanism that can perform more suitable wireless communication control based on the radio wave propagation environment in real space.

Note that the above-mentioned problem or object is only one of the plurality of problems or objects that can be solved or achieved by the plurality of embodiments disclosed in this specification.

The information processing device of the present disclosure includes a control unit. The control unit uses a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space, to Virtual space estimation information regarding wireless communication between a base station and the terminal device is generated. The control unit determines communication parameters for at least one of the base station and the terminal device based on the virtual space estimation information.

FIG. 2 is a diagram illustrating an example of radio wave propagation according to the proposed technology of the present disclosure. 1 is a diagram illustrating a configuration example of a wireless communication system according to a first embodiment of the present disclosure. FIG. 3 is a diagram illustrating another configuration example of the wireless communication system according to the first embodiment of the present disclosure. FIG. 2 is a diagram illustrating a configuration example of a control station according to a first embodiment of the present disclosure. FIG. 1 is a block diagram illustrating a configuration example of a base station according to a first embodiment of the present disclosure. FIG. 1 is a block diagram illustrating a configuration example of a terminal device according to an embodiment of the present disclosure. It is a flow chart which shows an example of the flow of decision processing concerning a 1st embodiment of this indication. FIG. 1 is a diagram illustrating an example of a virtual communication environment according to a first embodiment of the present disclosure. FIG. 2 is a sequence diagram illustrating an example of the flow of parameter control processing according to the first embodiment of the present disclosure. FIG. 3 is a diagram for explaining an example of communication parameters. FIG. 3 is a diagram for explaining an example of communication parameters. FIG. 2 is a block diagram illustrating a configuration example of a control station according to a second embodiment of the present disclosure. It is a flow chart which shows an example of the flow of decision processing concerning a 2nd embodiment of this indication. FIG. 7 is a sequence diagram illustrating an example of the flow of parameter control processing according to a second embodiment of the present disclosure. FIG. 7 is a block diagram illustrating a configuration example of a control station according to a third embodiment of the present disclosure. It is a flow chart which shows an example of the flow of the 1st processing concerning a 3rd embodiment of this indication. 12 is a flowchart illustrating an example of a second process flow according to a third embodiment of the present disclosure. It is a flow chart which shows an example of the flow of the 3rd processing concerning a 3rd embodiment of this indication. FIG. 2 is a diagram illustrating an example of a user interface of a terminal device according to a first application example of the present disclosure. FIG. 7 is a diagram illustrating an example of a user interface of a terminal device according to a second application example of the present disclosure.

Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. Note that, in this specification and the drawings, components having substantially the same functional configurations are designated by the same reference numerals and redundant explanation will be omitted.

Furthermore, in this specification and the drawings, similar components of the embodiments may be distinguished by using different alphabets or numbers after the same reference numerals. However, if there is no particular need to distinguish between similar components, only the same reference numerals are given.

One or more embodiments (including examples, modifications, and application examples) described below can each be implemented independently. On the other hand, at least a portion of the plurality of embodiments described below may be implemented in combination with at least a portion of other embodiments as appropriate. These multiple embodiments may include novel features that are different from each other. Therefore, these multiple embodiments may contribute to solving mutually different purposes or problems, and may produce mutually different effects.

<<1. Introduction >>
<1.1. Background＞
As described above, in wireless communication, communication parameters are adaptively controlled depending on the condition of the propagation path between the base station and the terminal device, thereby realizing suitable communication. For example, a terminal device estimates the status of a propagation path between the terminal device and the base station using a known signal transmitted from the base station. The base station sets appropriate communication parameters for the terminal device based on the propagation path conditions fed back from the terminal device.

Additionally, if there is no feedback from the terminal device regarding the state of the propagation path, the base station uses a statistical propagation model (for example, a path loss model or an interference model) depending on the distance from the terminal device to determine the average propagation path condition. Be aware of the situation. The base station sets communication parameters for the terminal device based on the average propagation path condition even if there is no feedback regarding the propagation path condition.

<1.2. Challenge>
However, radio wave propagation in wireless communication varies greatly depending on the presence or absence of obstacles between the base station 300 (transmission point) and the terminal device (reception point). This point will be explained using FIG. 1.

FIG. 1 is a diagram illustrating an example of radio wave propagation according to the proposed technology of the present disclosure. FIG. 1A is a diagram showing an example of radio wave propagation when there is no obstacle 600. FIG. 1(b) is a diagram showing an example of radio wave propagation when there is an obstacle 600. FIG. 1C is a diagram illustrating an example of radio wave propagation when there is an obstacle 600 according to the proposed technology of the present disclosure.

For example, assume that base station 300 transmits a signal with transmission power P _tx . When there is no obstacle 600 (see FIG. 1(a)), the radio waves can reach farther than when there is an obstacle 600 (see FIG. 1(b)).

When determining communication parameters using the statistical propagation model described above, the base station determines communication parameters so that this interference is minimized, taking into account interference with neighboring cells and surrounding base stations. Become. This is because the statistical propagation model differs from the actual propagation path situation.

In this way, if communication parameters are determined so that interference is minimized, the efficiency of use of radio resources will be limited.

Furthermore, when the terminal device estimates the propagation path situation and provides feedback, the base station 300 can determine more accurate communication parameters according to the actual transmission path situation. However, the base station 300 can only grasp the state of the propagation path at the position of the terminal device that has provided the feedback.

Therefore, when the terminal device moves, it is not possible to more accurately grasp the propagation path situation at the destination. Furthermore, it is not possible to more accurately grasp the propagation path situation in a place where a terminal device is not present.

Further, when a large number of terminal devices each feed back the propagation path status, the communication resources for feeding back become overhead, which becomes a factor that reduces the radio resource usage efficiency of the entire communication system.

As described above, in conventional wireless communication, when using a statistical propagation model, it was difficult for the base station 300 to perform wireless communication control based on the radio wave propagation environment in real space. Furthermore, when using the propagation path conditions estimated by the terminal device, the base station can control wireless communication according to the propagation path conditions at the location where the terminal device exists, but the radio wave propagation throughout the real space where wireless communication is performed It was difficult to grasp the environment.

In order to perform more suitable wireless communication, it is desirable to perform wireless communication control based on the radio wave propagation environment in real space.

<1.3. Overview of proposed technology>
Therefore, the information processing device (not shown) according to the proposed technology of the present disclosure controls wireless communication between the terminal device and the base station 300. The information processing device includes a control section. The control unit generates virtual space estimation information regarding wireless communication between the base station 300 and the terminal device using a virtual communication environment. The virtual communication environment is generated based on position information regarding the position of at least one of the base station 300 and the terminal device in real space, and environment information regarding the communication environment in real space. The control unit determines communication parameters for at least one of the base station 300 and the terminal device based on the virtual space estimation information.

At least one of the base station 300 and the terminal device performs wireless communication using communication parameters determined by the information processing device, so that the communication system can perform wireless communication control based on the radio wave propagation environment in real space. .

For example, the information processing device virtually generates a communication environment in which an obstacle 600 exists as shown in FIG. 1(c), and based on the virtual space estimation information generated using this virtual communication environment, Assume that the communication parameters of station 300 have been determined. Here, it is assumed that the information processing apparatus determines the transmission power of the base station 300 to be _Pty as a communication parameter.

As described above, the information processing apparatus determines the transmission power P _ty of the base station 300 according to the communication environment in which the obstacle 600 exists. Therefore, the signal transmitted by the base station 300 can reach a longer distance compared to the case where the signal is transmitted with the transmission power P _tx determined without considering the obstacle 600 (see FIG. 1(b)). Can be done.

In this way, the information processing device performs wireless communication control based on the radio wave propagation environment in real space (the presence or absence of the obstacle 600 in FIG. 1), so that the base station 300 can perform more suitable communication.

Although it is assumed here that the information processing device determines the communication parameters, the base station 300 may be the device that determines the communication parameters. That is, base station 300 may be the information processing device described above.

<1.4. Definition of terms>
Note that the definitions of some of the terms used in this disclosure will be explained.

[Communication environment information]
In the present disclosure, "communication environment information" includes at least one of static or semi-static information and dynamic information. Static or semi-static information is fixed information or information that is updated infrequently. Note that the static or semi-static information can be information in an upper communication layer (for example, an application layer, an RRC (Radio Resource Control) layer, etc.). Dynamic information is information that is updated frequently. Note that the dynamic information can be information in a lower communication layer (for example, a physical layer, etc.).

(static or semi-static information)
The communication environment information includes, for example, at least one of the following information as static or semi-static information.
・Map information ・Structure information ・Device information regarding the base station 300 or terminal device ・Sensing information acquired through a sensing device ・Wireless communication information regarding wireless communication

(Map information)
The map information here is information that allows the positions and sizes of structures, base stations 300, terminal devices, etc. to be recognized. The position may be, for example, absolute position information such as latitude and longitude, or may be relative position information within an area (for example, communication coverage of a local network described below).

The map information includes, for example, topographical information, office layout diagrams, campus maps, and the like.

(Structure information)
The structure information here includes information that affects radio wave propagation. Examples of influences on radio wave propagation include reflection, diffraction, and transmission.

Structures include, for example, buildings, walls, trees, roads, signboards, traffic lights, road signs, pillars, buildings, the ground, glass, windows, desks, cabinets, etc.

The structure information includes, for example, the position, shape, size, and material of the structure, and parameters related to radio wave propagation in the structure (dielectric constant, conductivity, etc.).

The structure information is generated and constructed based on, for example, the above-mentioned map information. Further, in addition to this, the structure information may be generated and constructed based on information acquired from a sensing device, etc., which will be described later.

(Device information regarding base station 300 or terminal device)
The device information regarding the base station 300 or the terminal device here includes, for example, at least one piece of information listed below.
・Antenna information regarding antennas ・Capability information regarding functions and capabilities supported by wireless communication ・Shape information regarding the shape and weight of base station 300 and/or terminal device ・Fixed base station 300 and/or fixed base station 300 Location information of terminal device

The antenna information regarding the antenna here includes, for example, at least one piece of information regarding the antenna configuration, beam pattern, number of antenna elements, and configuration of the antenna elements of the base station 300 and/or the terminal device.

(Sensing information obtained through sensing devices)
The sensing information acquired through the sensing device here includes object information regarding the object detected through the sensing device and/or influence information regarding fluctuations and/or effects on wireless communication due to the detected object.

Here, the sensing device includes cameras, sensors, and the like. Sensors include photoelectric sensors, fiber sensors, laser sensors, color sensors, proximity sensors, overcurrent displacement sensors, contact displacement sensors, ultrasonic sensors, image discrimination sensors, pressure sensors, vibration sensors, inertial measurement sensors, etc.

Three-dimensional spatial information (for example, the above-mentioned structure information) is generated from sensing information obtained through the sensing device. For example, when sensing information is an image or video acquired in real time by a camera, three-dimensional spatial information is generated in real time using, for example, photogrammetry technology or volumetric capture technology. be done.

Objects detected by a sensing device include various devices such as the sensing device, a device different from the sensing device, and a terminal device that transmits information acquired by the sensing device. Further, objects detected by the sensing device include the above-mentioned structures and objects other than structures.

The terminal device that transmits the sensing information acquired by the sensing device may or may not be equipped with the sensing device. When the terminal device and the sensing device are separate devices, it is preferable that the terminal device acquires sensing information from the sensing device, for example, by wired or wireless communication.

Note that sensing information acquired through sensing (sensing information acquired through a sensing device) may include various sensing information in addition to object detection information. For example, the sensing information acquired through sensing includes beam information regarding beams transmitted from the base station 300 and/or the terminal device (for example, information regarding beam patterns, beam angles, etc.).

(Wireless communication information regarding wireless communication)
The wireless communication information regarding wireless communication here includes, for example, at least one of the information listed below.
・Communication information regarding RAT and frequencies ・Scenario information regarding communication environment scenarios ・Restriction information regarding conditions and restrictions regarding wireless communications that can be used in the local network

The communication information regarding the RAT includes, for example, information regarding LTE, NR, wireless LAN, Bluetooth (registered trademark), and the like. The communication information regarding frequency includes information regarding at least one of a frequency band, a center frequency, and a frequency bandwidth.

Scenario information regarding communication environment scenarios includes, for example, information regarding urban areas (urban areas), suburbs (sub-urban areas), depopulated areas (rural areas), indoor offices, indoor factories, etc.

The scenario information may further include information regarding a radio wave propagation model (for example, a path loss model) corresponding to the communication environment scenario. Note that the radio wave propagation model may correspond to a LOS (Line Of Sight) environment and an NLOS (Non Line Of Sight) environment.

The restriction information here includes information regarding conditions and restrictions regarding wireless communication permitted in the local network.

These conditions and constraints include, for example, information on available RATs, areas where wireless communication is possible (geographical information (spatial information including two-dimensional planar information and/or three-dimensional height, etc.)), interference outside the area. The information may include the upper limit of power amount, maximum transmittable power, transmittable frequency information, transmittable time information, installation location of base station 300, and the like.

These conditions and constraints are, for example, set and defined in advance. Further, these conditions and constraints can be determined and/or changed based on information notified from a predetermined server or storage device (for example, a SAS (Spectrum Access System) server, etc.).

(dynamic information)
The communication environment information includes, for example, at least one of the following information as dynamic information.
・Sensing information obtained through sensing devices ・Wireless communication information regarding wireless communication

(Sensing information obtained through sensing devices)
The sensing information obtained through the sensing device here includes moving object information regarding the moving object detected through the sensing device and/or influence information regarding fluctuations and/or effects on wireless communication by the detected moving object.

The sensing device described above can detect moving objects such as people and robots in addition to stationary objects such as structures. For example, the sensing device transmits information regarding the detected moving object as sensing information via the terminal device.

The sensing device can transmit sensing information at the timing when it detects a moving object and/or at the timing when it stops detecting a moving object. Alternatively, the sensing device may transmit sensing information at regular intervals.

Note that the sensing information acquired as dynamic information may be the same information as the sensing information acquired as static or quasi-static information, except that it is a moving object.

(Wireless communication information regarding wireless communication)
The wireless communication information here includes, for example, quality information regarding communication quality in wireless communication.

The quality information includes, for example, at least one of the following pieces of information measured or estimated by a terminal device during wireless communication.
・Received power ・Interference power ・RSRP (Reference Signal Received Power)
・RSRQ (Reference Signal Received Quality)
・RSSI (Received Signal Strength Indicator)
・SNR (Signal-to-noise ratio)
・Downlink throughput ・Uplink throughput ・Latency ・Jitter ・Ping value

[Virtual space estimation information]
In the present disclosure, "virtual space estimation information" includes, for example, information regarding radio wave propagation of at least one of the base station 300 and the terminal device. The virtual space estimation information includes, for example, at least one of the information listed below.
・LOS/NLOS information ・Simulation information ・Calculation information calculated based on LOS/NLOS information, simulation information, etc.

(LOS/NLOS information)
The LOS/NLOS information is information indicating whether the environment between the base station 300 and the terminal device is a LOS environment or an NLOS environment.

The LOS environment is also referred to as the line-of-sight environment. The LOS environment indicates a situation where there are no obstacles 600 such as structures or people on a straight line between the base station 300 and the terminal device, and the base station 300 and the terminal device can directly transmit and receive waves between them. . In this case, wireless communication between the base station 300 and the terminal device is performed through reflected waves, diffracted waves, etc. in addition to direct waves.

The NLOS environment is also called a non-line-of-sight environment. The NLOS environment indicates a situation where there is an obstacle 600 such as a structure or a person on a straight line between the base station 300 and the terminal device, and the base station 300 and the terminal device cannot directly transmit or receive waves between them. In this case, wireless communication between the base station 300 and the terminal device is performed through reflected waves, diffracted waves, etc. other than direct waves.

(Simulation information)
The simulation information includes information regarding simulation results of radio wave propagation in wireless communication between the base station 300 and the terminal device. The simulation information includes, for example, path information regarding one or more paths (transmitted waves, arriving waves, rays) obtained by Ray tracing simulation.

This path includes direct waves, reflected waves, diffracted waves, transmitted waves, etc. between the base station 300 and the terminal device. In general, there are various structures between the base station 300 and the terminal device. Therefore, the signal (radio wave) transmitted from the transmission point (for example, the base station 300) passes through various routes and multiple structures. It becomes a path and reaches a receiving point (for example, a terminal device).

The path information regarding the path may include, for example, at least one of the following information.
・Received power at the receiving point ・Transmitted power at the transmitting point ・Path loss ・Propagation distance ・Number of reflections ・Number of diffraction ・Number of transmissions ・Phase fluctuation ・Emission angle at the transmitting point ・Arrival angle at the receiving point ・Arrival order of paths (multiple Among the paths, what time did it arrive?)
・Number of passes

(calculation information)
The calculation information is information generated and calculated based on the above-mentioned LOS/NLOS information, simulation information, and the like. The calculation information may include, for example, at least one of the following information.
・Path loss at reception point ・Received power ・Interference power ・RSRP
・RSRQ
・RSSI
・SNR
・Downlink throughput ・Uplink throughput ・Latency ・Jitter ・Ping value

[Communication parameters]
In the present disclosure, "communication parameters" include at least one of dynamically determined parameters and quasi-statically determined parameters.

The dynamically determined parameters include, for example, at least one of the following parameters.
・Information on MCS (Modulation and Coding Scheme) ・Information on transmission power ・Information on beam control ・Information on MIMO (Multiple Input Multiple Output) multiplexing number

The semi-statically determined parameters include, for example, the range, maximum value, minimum value, average value, median value, etc. of parameters selectable (permitted) by the base station 300 and/or the terminal device. include. The semi-statically determined parameters include, for example, the maximum transmission power of the base station 300 and/or the terminal device.

[Information regarding location]
The information regarding the location is location information of the base station 300 and/or the terminal device. Information regarding the position includes absolute position information such as latitude, longitude, and/or altitude obtained by, for example, GPS (Global Positioning System) or GNSS (Global Navigation Satellite System).

Alternatively, the information regarding the location includes relative location information obtained by a beacon, UWB (Ultra-WideBand), or the like.

<<2. First embodiment >>
<2.1. Configuration example of wireless communication system>
FIG. 2 is a diagram illustrating a configuration example of a wireless communication system according to the first embodiment of the present disclosure. The wireless communication system shown in FIG. 2 includes a control station 100,

core networks

200A, 200B, base stations 300A ₁ , 300A ₂ , 300B ₁ , 300B ₂ , and terminal devices 400A ₁ , 400A ₂ , 400B ₁ , 400B ₂ . , is provided.

The control station 100 connects to the core network 200A in the local network N_A through the network N_P. Control station 100 connects to core network 200B in local network N_B through network N_P.

The network N_P is, for example, a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a cellular network, a fixed telephone network, a local IP (Internet Protocol) network, or the Internet. The network N_P may include a wired network or a wireless network. Further, the network N_P may be a data network connected to the core network. The data network may be a carrier's service network, for example an IMS (IP Multimedia Subsystem) network. Further, the data network may be a private network such as an in-house network. Note that in the example of FIG. 2, only one network N_P is shown, but the number of networks N_P is not limited to one.

Further, in the example of FIG. 2, two local networks N_A and N_B are shown, but the number of local networks is not limited to two. The number of local networks may be one or three or more.

In local network N_A, core network 200A connects to base stations 300A ₁ and 300A ₂ . The number of base stations 300A to which core network 200A connects is not limited to two. The number of base stations 300A may be one or three or more.

The base station 300A ₁ connects to the terminal device 400A ₁ by wireless communication. The base station 300A ₂ connects to the terminal device 400A ₂ by wireless communication. The number of terminal devices 400A connected to the base station 300A is not limited to one, and may be two or more. Further, the number of terminal devices 400A ₁ connected to the base station 300A ₁ may be different from the number of terminal devices 400A ₂ connected to the base station 300A ₂ .

Note that the configuration of local network N_B is similar to local network N_A, so the explanation will be omitted.

For example, the control station 100 is an information processing device that controls a dynamic spectrum access (DSA) system. The control station 100 can control radio resources and communication parameters for at least one of the local networks N_A, N_B,

core networks

200A, 200B, and base stations 300A, 300B connected to the DSA. Here, the radio resource means a resource in at least one of the time, frequency, MIMO layer, and spatial domain used for radio communication.

Note that the

core networks

200A and 200B do not need to be installed. In this case, control station 100 directly connects to base stations 300A and 300B.

The core network 200 may be placed in one of the control station 100 and the base station 300. It may be distributed and arranged in both the control station 100 and the base station 300.

The local networks N_A and N_B are also called private networks, and are networks whose communication coverage (an example of a communication area) is, for example, a predetermined area or premises. In the local networks N_A and N_B, only the terminal device 400 registered in advance can connect to at least one of the base station 300, the control station 100, and the core network 200.

Furthermore, radio access technologies (RAT) used for wireless communication between the base station 300 and the terminal device 400 include, for example, 4G system, 5G system, 6G system, LTE (Long Term Evolution), and NR (New Radio). ) and other cellular communication systems. Also, this wireless access technology is not limited to cellular communication systems. For example, examples of this wireless access technology include various wireless communication systems such as wireless LAN, Bluetooth (registered trademark), and LPWA (Low Power Wide Area) systems.

Furthermore, in the example of FIG. 2, it is assumed that the control station 100 connects to local networks N_A and N_B, but the network to which the control station 100 connects may be a public network to which subscribers can connect.

FIG. 3 is a diagram illustrating another configuration example of the wireless communication system according to the first embodiment of the present disclosure. As described above, core network 200 may be omitted or located within control station 100 and/or base station 300.

Therefore, in the following, in order to simplify the explanation, it is assumed that the wireless communication system is a system in which the core network 200 is omitted, as shown in FIG. 3. That is, the wireless communication system of this embodiment includes a control station 100, a base station 300, and a terminal device 400.

<2.1.2. Control station configuration example>
FIG. 4 is a diagram illustrating a configuration example of the control station 100 according to the first embodiment of the present disclosure. As described above, the control station 100 is, for example, an information processing device that controls a dynamic spectrum access (DSA) system. As shown in FIG. 4, the control station 100 includes a communication section 110, a storage section 120, and a control section 130.

(Communication Department 110)
Communication unit 110 is a communication interface for communicating with other devices (eg, base station 300). The communication unit 110 may be a network interface or a device connection interface. For example, the communication unit 110 may be a LAN (Local Area Network) interface such as a NIC (Network Interface Card), or a USB interface configured by a USB (Universal Serial Bus) host controller, a USB port, etc. Good too. Further, the communication unit 110 may be a wired interface or a wireless interface. The communication unit 110 functions as a communication means for the control station 100. The communication unit 110 communicates with the base station 300 under the control of the control unit 130.

(Storage unit 120)
The storage unit 120 is a data readable/writable storage device such as a DRAM (Dynamic Random Access Memory), an SRAM (Static Random Access Memory), a flash memory, or a hard disk. The storage unit 120 functions as a storage means of the control station 100.

The storage unit 120 stores information (data) used by a virtual space estimation unit 132, which will be described later. For example, the storage unit 120 holds the above-mentioned static or semi-static communication environment information.

Furthermore, for example, the storage unit 120 stores location information regarding the location of the base station 300 and/or the terminal device 400. Note that the location information stored in the storage unit 120 may be information of a communication node that is physically fixed and cannot be moved (for example, the base station 300 and/or the terminal device 400).

(Control unit 130)
The control unit 130 is a controller that controls each part of the control station 100. The control unit 130 is realized by, for example, a processor such as a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or a GPU (Graphics Processing Unit).

For example, the control unit 130 is realized by a processor executing various programs stored in a storage device inside the control station 100 using a RAM (Random Access Memory) or the like as a work area. Note that the control unit 130 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). CPUs, MPUs, GPUs, ASICs, and FPGAs can all be considered controllers.

The control unit 130 includes an acquisition unit 131, a virtual space estimation unit 132, a parameter determination unit 133, and a notification unit 134. Each block (obtaining unit 131 to notifying unit 134) constituting the control unit 130 is a functional block indicating a function of the control unit 130, respectively.

These functional blocks may be software blocks or hardware blocks. For example, each of the above functional blocks may be one software module realized by software (including a microprogram), or one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The functional blocks can be configured in any way.

Note that the control unit 130 may be configured in a functional unit different from the above-mentioned functional blocks.

(Acquisition unit 131)
The acquisition unit 131 acquires information used by the virtual space estimation unit 132 via the communication unit 110. The acquisition unit 131 also acquires information used by the virtual space estimation unit 132 from the storage unit 120.

The acquisition unit 131 receives, via the communication unit 110, information that can be transmitted from at least one of the local network, core network 200, base station 300, terminal device 400, and other communication nodes.

For example, the acquisition unit 131 acquires the above-mentioned dynamic communication environment information from the base station 300 and/or the terminal device 400 via the communication unit 110. Further, for example, the acquisition unit 131 receives location information regarding the location of the base station 300 and/or the terminal device 400 via the communication unit 110. Note that the position information received by the acquisition unit 131 may be information on a movable communication node.

The acquisition unit 131 acquires information (data) stored in the storage unit 120. The acquisition unit 131 acquires, for example, the above-mentioned static or semi-static communication environment information from the storage unit 120.

The acquisition unit 131 outputs the acquired information to the virtual space estimation unit 132.

(Virtual space estimation unit 132)
The virtual space estimation unit 132 generates a virtual communication environment based on the information input from the acquisition unit 131. The virtual space estimation unit 132 further uses the generated virtual communication environment to generate virtual space estimation information regarding wireless communication.

The virtual space estimation unit 132 outputs the generated virtual space estimation information to the parameter determination unit 133.

(Parameter determination unit 133)
The parameter determination unit 133 determines at least one communication parameter of the local network, core network 200, base station 300, and terminal device 400 based on the virtual space estimation information.

(Notification section 134)
The notification unit 134 generates control information based on the determined communication parameters. The notification unit 134 transmits to at least one of the local network, core network 200, base station 300, and terminal device 400. Thereby, the notification unit 134 notifies at least one of the local network, core network 200, base station 300, and terminal device 400 of information regarding the determined communication parameters.

<2.1.3. Base station configuration example>
Next, base station 300 will be explained. The base station 300 is a communication device that operates a cell and provides wireless communication services to one or more terminal devices 400 located within the coverage of the cell. A cell is operated according to any wireless communication method, such as LTE or NR. Base station 300 is connected to core network 200. The core network 200 is connected to a packet data network (not shown) via a gateway device (not shown). Furthermore, the base station 300 operates beams that can be identified by SSB (Synchronization Signal/PBCH Block), and can transmit and receive data to and from one or more terminal devices 400 via one or more beams.

Note that the base station 300 may be composed of a set of multiple physical or logical devices. For example, in the embodiment of the present disclosure, the base station 300 is divided into a plurality of devices, such as a BBU (Baseband Unit) and an RU, and may be interpreted as a collection of these devices. Additionally or alternatively, in embodiments of the present disclosure, base station 300 may be one or both of BBU and RU. The BBU and RU may be connected through a predetermined interface (eg, eCPRI). Additionally or alternatively, an RU may be referred to as a Remote Radio Unit (RRU) or a Radio DoT (RD). Additionally or alternatively, the RU may correspond to a gNB-DU described below. Additionally or alternatively, the BBU may correspond to gNB-CU, which will be described later. Alternatively, the RU may be connected to gNB-DU, which will be described later. Furthermore, the BBU may correspond to a combination of gNB-CU and gNB-DU, which will be described later. Additionally or alternatively, the RU may be a device integrally formed with the antenna. The antenna possessed by the base station 300 (for example, an antenna formed integrally with the RU) may employ an Advanced Antenna System and may support MIMO (for example, FD-MIMO) or beamforming. In the Advanced Antenna System, the antenna possessed by the base station 300 (for example, an antenna formed integrally with the RU) may include, for example, 64 transmitting antenna ports and 64 receiving antenna ports.

Furthermore, a plurality of base stations 300 may be connected to each other. One or more base stations 300 may be included in a Radio Access Network (RAN). That is, base station 300 may be simply referred to as RAN, RAN node, AN (Access Network), or AN node. RAN in LTE is called EUTRAN (Enhanced Universal Terrestrial RAN). RAN in NR is called NGRAN. The RAN in W-CDMA (UMTS) is called UTRAN. The LTE base station 300 is called an eNodeB (Evolved Node B) or eNB. That is, the EUTRAN includes one or more eNodeBs (eNBs). Further, the NR base station 300 is referred to as gNodeB or gNB. That is, the NGRAN includes one or more gNBs. Furthermore, EUTRAN may include a gNB (en-gNB) connected to a core network (EPC) in an LTE communication system (EPS). Similarly, NGRAN may include an ng-eNB connected to a core network 5GC in a 5G communication system (5GS). Additionally or alternatively, if the base station 300 is an eNB, gNB, etc., it may be referred to as 3GPP Access. Additionally or alternatively, if the base station 300 is a wireless access point (e.g., a WiFi (registered trademark) access point), it may be referred to as Non-3GPP Access. Additionally or in place of this, the base station 300 may be an optical equipment called an RRH (Remote Radio Head). Additionally or alternatively, when the base station 300 is a gNB, the base station 300 may be referred to as a combination of the above-described gNB CU (Central Unit) and gNB DU (Distributed Unit), or any one of these. The gNB CU hosts multiple upper layers (eg, RRC, SDAP, PDCP) of the Access Stratum for communication with the UE. On the other hand, the gNB-DU hosts multiple lower layers (eg, RLC, MAC, PHY) of the Access Stratum. That is, among the messages and information described below, RRC signaling (for example, MIB, various SIBs including SIB1, RRCSetup message, RRCReconfiguration message) is generated by gNB CU, while DCI and various Physical Channels (for example, gNB-DU may be generated for PDCCH, PBCH). Alternatively, part of the configuration (configuration information) such as IE: cellGroupConfig in RRC signaling may be generated by the gNB-DU, and the remaining configuration may be generated by the gNB-CU. These configurations (setting information) may be transmitted and received through the F1 interface, which will be described later. The base station 300 may be configured to be able to communicate with other base stations 300. For example, when the plurality of base stations 300 are a combination of eNBs or an eNB and an en-gNB, the base stations 300 may be connected by an X2 interface. Additionally or alternatively, when the plurality of base stations 300 are a combination of gNBs or a gn-eNB and a gNB, the devices may be connected through an Xn interface. Additionally or alternatively, when the plurality of base stations 300 are a combination of gNB CUs and gNB DUs, the devices may be connected by the F1 interface described above. Messages and information (RRC signaling or DCI information, Physical Channel), which will be described later, may be communicated between a plurality of base stations 300 (for example, via the X2, Xn, and F1 interfaces).

Furthermore, as described above, the base station 300 may be configured to manage multiple cells. A cell provided by base station 300 is called a serving cell. Serving cells include PCells (Primary Cells) and SCells (Secondary Cells). Dual Connectivity (e.g., EUTRA-EUTRA Dual Connectivity, EUTRA-NR Dual Connectivity (ENDC), EUTRA-NR Dual Connectivity with 5GC, NR-EUTRA Dual Connectivity (NEDC), NR-NR Dual Connectivity) 400), the PCell and zero or more SCell(s) provided by the MN (Master Node) are called a Master Cell Group. Furthermore, the serving cell may include a PSCell (Primary Secondary Cell or Primary SCG Cell). That is, when Dual Connectivity is provided to the UE, the PSCell and zero or more SCell(s) provided by the SN (Secondary Node) are called a Secondary Cell Group (SCG). Unless special settings are made (for example, PUCCH on SCell), the physical uplink control channel (PUCCH) is transmitted on PCell and PSCell, but not on SCell. Additionally, Radio Link Failure is also detected in PCell and PSCell, but not detected in SCell (it does not need to be detected). In this way, PCell and PSCell have a special role among Serving Cell(s), so they are also called Special Cell (SpCell). One Downlink Component Carrier and one Uplink Component Carrier may be associated with one cell. Further, the system bandwidth corresponding to one cell may be divided into a plurality of bandwidth parts. In this case, one or more Bandwidth Parts (BWPs) may be configured in the UE, and one Bandwidth Part may be used as an Active BWP in the UE. Further, the radio resources (for example, frequency band, numerology (subcarrier spacing), slot configuration) that can be used by the terminal device 400 may differ for each cell, each component carrier, or each BWP.

FIG. 5 is a block diagram illustrating a configuration example of the base station 300 according to the first embodiment of the present disclosure. Base station 300 is a wireless communication device that wirelessly communicates with terminal device 400. Base station 300 is a type of communication device. Furthermore, the base station 300 is a type of information processing device.

The base station 300 shown in FIG. 5 includes a communication section 310, a storage section 320, a network communication section 330, and a control section 340. Note that the configuration shown in FIG. 5 is a functional configuration, and the hardware configuration may be different from this. Further, the functions of base station 300 may be distributed and implemented in a plurality of physically separated configurations. For example, as described above, the functionality of base station 300 may be distributed among CUs and DUs or CUs, DUs, and RUs.

The communication unit 310 is a signal processing unit for wirelessly communicating with other wireless communication devices (for example, the terminal device 400 and other base stations 300). The communication unit 310 operates under the control of the control unit 340. When the other wireless communication device is the terminal device 400, the communication unit 310 may be a wireless transceiver compatible with one or more wireless access methods. For example, the communication unit 310 supports both NR and LTE. The communication unit 310 may be compatible with W-CDMA and cdma2000 in addition to NR and LTE. Furthermore, the communication unit 310 may support communication using NOMA. When the other wireless communication device is another base station 300, the communication unit 310 may be an X2 interface, an Xn interface, or an F1 interface.

The communication section 310 includes a reception processing section 311, a transmission processing section 312, and an antenna 313. The communication unit 310 may each include a plurality of reception processing units 311, transmission processing units 312, and antennas 313. Note that when the communication unit 310 supports multiple wireless access methods, each part of the communication unit 310 may be configured individually for each wireless access method. For example, the reception processing section 311 and the transmission processing section 312 may be configured separately for LTE and NR.

The reception processing unit 311 processes uplink signals received via the antenna 313. The reception processing section 311 operates as a reception section that receives a reception signal. The reception processing section 311 includes a radio reception section 311a, a demultiplexing section 311b, a demodulation section 311c, and a decoding section 311d.

The radio reception unit 311a performs down-conversion, removal of unnecessary frequency components, control of amplification level, orthogonal demodulation, conversion to a digital signal, removal of guard intervals (cyclic prefix), and fast Fourier transformation for uplink signals. The frequency domain signal is extracted by The demultiplexer 311b separates uplink channels such as PUSCH (Physical Uplink Shared Channel) and PUCCH (Physical Uplink Control Channel) and uplink reference signals from the signal output from the radio receiver 311a.

The demodulation unit 311c demodulates the received signal using a modulation method such as BPSK (Binary Phase Shift Keying) or QPSK (Quadrature Phase Shift Keying) on the modulation symbol of the uplink channel. The modulation method used by the demodulator 311c may be 16QAM (Quadrature Amplitude Modulation), 64QAM, or 256QAM. In this case, the signal points on the constellation do not necessarily have to be equidistant. The constellation may be a non-uniform constellation (NUC).

The decoding unit 311d performs decoding processing on the coded bits of the demodulated uplink channel. The decoded uplink data and uplink control information are output to the control section 340.

The transmission processing unit 312 performs transmission processing of downlink control information and downlink data. In this way, the transmission processing unit 312 is an acquisition unit that acquires, for example, bit sequences such as downlink control information and downlink data from the control unit 340. The transmission processing section 312 includes an encoding section 312a, a modulation section 312b, a multiplexing section 312c, and a wireless transmission section 312d.

The encoding unit 312a encodes the downlink control information and downlink data input from the control unit 340 using encoding methods such as block encoding, convolutional encoding, and turbo encoding. Note that the encoding unit 312a may perform encoding using a polar code or an LDPC code (low density parity check code).

The modulator 312b modulates the encoded bits output from the encoder 312a using a predetermined modulation method such as BPSK, QPSK, 16QAM, 64QAM, or 256QAM. In this case, the signal points on the constellation do not necessarily have to be equidistant. The constellation may be a non-uniform constellation.

The multiplexing unit 312c multiplexes the modulation symbol of each channel and the downlink reference signal, and arranges it in a predetermined resource element. The wireless transmitter 312d performs various signal processing on the signal from the multiplexer 312c. For example, the wireless transmitter 312d performs conversion from the time domain to the frequency domain using fast Fourier transform, addition of a guard interval (cyclic prefix), generation of a baseband digital signal, conversion to an analog signal, orthogonal modulation, and upconversion. , removes extra frequency components, amplifies power, etc. The signal generated by the transmission processing section 312 is transmitted from the antenna 313.

The storage unit 320 is a data readable/writable storage device such as DRAM, SRAM, flash memory, hard disk, etc. The storage unit 320 functions as a storage means of the base station 300.

The network communication unit 330 is a communication interface for communicating with a node located higher on the network (for example, the core network 200). For example, the network communication unit 330 may be a LAN interface such as a NIC. Additionally or alternatively, the network communication unit 330 may be an S1 interface or an NG interface for connecting to a core network node. Network communication section 330 may be a wired interface or a wireless interface. The network communication unit 330 functions as a network communication means for the base station 300.

The control unit 340 is a controller that controls each part of the base station 300. The control unit 340 is realized, for example, by a processor (hardware processor) such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). For example, the control unit 340 is realized by a processor executing various programs stored in a storage device inside the base station 300 using a RAM (Random Access Memory) or the like as a work area. Note that the control unit 340 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). CPUs, MPUs, ASICs, and FPGAs can all be considered controllers.

<2.1.4. Configuration example of terminal device>
Next, a configuration example of the terminal device 400 according to the embodiment of the present disclosure will be described using FIG. 6. FIG. 6 is a block diagram illustrating a configuration example of a terminal device 400 according to an embodiment of the present disclosure.

The terminal device 400 is a wireless communication device that wirelessly communicates with the base station 300. The terminal device 400 is, for example, a mobile phone, a smart device (smartphone or tablet), a PDA (Personal Digital Assistant), or a personal computer. Further, the terminal device 400 may be a device such as a professional camera equipped with a communication function, or may be an M2M (Machine to Machine) device or an IoT (Internet of Things) device.

Furthermore, the terminal device 400 may be capable of side-link communication with other terminal devices 400. The terminal device 400 may be able to use automatic retransmission technology such as HARQ (Hybrid Automatic Repeat reQuest) when performing side link communication. The terminal device 400 may be capable of NOMA (Non Orthogonal Multiple Access) communication with the base station 300. Note that the terminal device 400 may also be capable of NOMA communication in communication (side link) with other terminal devices 400. Furthermore, the terminal device 400 may be capable of LPWA (Low Power Wide Area) communication with other communication devices (for example, the base station 300 and other terminal devices 400). In addition, the wireless communication used by the terminal device 400 may be wireless communication using millimeter waves. Note that the wireless communication (including side link communication) used by the terminal device 400 may be wireless communication using radio waves, or wireless communication using infrared rays or visible light (optical wireless). good.

The terminal device 400 may connect to and communicate with multiple base stations 300 or multiple cells at the same time. For example, when one base station 300 can provide multiple cells, the terminal device 400 can perform carrier aggregation by using one cell as a pCell and another cell as an sCell. In addition, when a plurality of base stations 300 can each provide one or more cells, the terminal device 400 can provide one or more cells managed by one base station 300 (MN (for example, MeNB or MgNB)) as pCell, Alternatively, one or more cells managed by the other base station 300 (SN (for example, SeNB or SgNB)) can be used as pCell (PSCell), or pCell (PSCell) and sCell (s). DC (Dual Connectivity) can be realized by using it as a DC. DC may also be called MC (Multi Connectivity).

Note that when supporting communication areas via cells of different base stations 300 (multiple cells with different cell identifiers or the same cell identifier), carrier aggregation (CA) technology and dual connectivity (DC) The base station 300 and the terminal device 400 can communicate with each other by bundling the plurality of cells using the multi-connectivity (MC) technology and the multi-connectivity (MC) technology. Alternatively, it is also possible for the terminal device 400 and the plurality of base stations 300 to communicate via cells of different base stations 300 using Coordinated Multi-Point Transmission and Reception (CoMP) technology.

The terminal device 400 includes a communication section 410, a storage section 420, a network communication section 430, an input/output section 4400, and a control section 450. Note that the configuration shown in FIG. 6 is a functional configuration, and the hardware configuration may be different from this. Further, the functions of the terminal device 400 may be distributed and implemented in a plurality of physically separated configurations.

The communication unit 410 is a signal processing unit for wirelessly communicating with other wireless communication devices (for example, the base station 300 and other terminal devices 400). The communication unit 410 operates under the control of the control unit 450. The communication unit 410 may be a wireless transceiver that supports one or more wireless access methods. For example, the communication unit 410 supports both NR and LTE. The communication unit 410 may be compatible with W-CDMA and cdma2000 in addition to NR and LTE. Furthermore, the communication unit 410 may support communication using NOMA.

The communication unit 410 includes a reception processing unit 411, a transmission processing unit 412, and an antenna 413. The communication unit 410 may each include a plurality of reception processing units 411, transmission processing units 412, and antennas 413. The configurations of communication section 410, reception processing section 411, transmission processing section 412, and antenna 414 are similar to those of communication section 310, reception processing section 311, transmission processing section 312, and antenna 314 of base station 300.

The storage unit 420 is a data readable/writable storage device such as DRAM, SRAM, flash memory, hard disk, etc. The storage unit 420 functions as a storage means of the terminal device 400.

The network communication unit 430 is a communication interface for communicating with other devices connected via the network. For example, the network communication unit 430 is a LAN interface such as a NIC. Network communication unit 430 may be a wired interface or a wireless interface. The network communication unit 430 functions as a network communication means for the terminal device 400. The network communication unit 430 communicates with other devices under the control of the control unit 450.

The input/output unit 440 is a user interface for exchanging information with the user. For example, the input/output unit 440 is an operating device, such as a keyboard, a mouse, an operation key, a touch panel, etc., for the user to perform various operations. Alternatively, the input/output unit 440 is a display device such as a liquid crystal display or an organic electroluminescence display. The input/output unit 440 may be an audio device such as a speaker or a buzzer. Further, the input/output unit 440 may be a lighting device such as an LED (Light Emitting Diode) lamp. The input/output unit 440 functions as an input/output means (input means, output means, operation means, or notification means) of the terminal device 400.

The control unit 450 is a controller that controls each part of the terminal device 400. The control unit 450 is realized by, for example, a processor such as a CPU, MPU, or GPU. For example, the control unit 450 is realized by a processor executing various programs stored in a storage device inside the terminal device 400 using a RAM or the like as a work area. Note that the control unit 450 may be realized by an integrated circuit such as an ASIC or an FPGA. CPUs, MPUs, GPUs, ASICs, and FPGAs can all be considered controllers.

<2.2. Communication processing>
<2.2.1. Decision processing>
FIG. 7 is a flowchart illustrating an example of the flow of determination processing according to the first embodiment of the present disclosure. The determination process shown in FIG. 7 is executed by the control station 100, for example, before the provision of wireless communication service is started in the local network. Alternatively, the determination process may be performed, for example, according to an instruction from a user using the terminal device 400. The determination process may be executed at regular intervals.

As shown in FIG. 7, the acquisition unit 131 of the control station 100 acquires environment information (communication environment information) from the storage unit 120 and/or via the communication unit 110 (step S101).

The virtual space estimation unit 132 of the control station 100 generates a virtual communication environment based on the position information in real space of at least one of the base station 300 and the terminal device 400 and the acquired communication environment information (step S102 ). The virtual communication environment is, for example, a virtual representation of objects (such as structures and people) that exist within the communication coverage of the base station 300.

FIG. 8 is a diagram illustrating an example of a virtual communication environment according to the first embodiment of the present disclosure. Here, a virtual communication environment generated by the virtual space estimation unit 132 is shown when the real space communication environment in which the base station 300 and the terminal device 400 perform wireless communication is an indoor office environment.

In the example shown in FIG. 8, the virtual space estimation unit 132 generates a communication environment including a plurality of desks as a virtual communication environment.

Returning to FIG. 7, the virtual space estimation unit 132 executes a radio wave propagation simulation in a virtual communication environment (step S103). The control station 100 performs a radio wave propagation simulation between the base station 300 and the terminal device 400 (between the transmission point and the reception point) in the generated virtual communication environment. In addition, although the case where the base station 300 is a transmission point is demonstrated here, the base station 300 may be a reception point. In this case, the terminal device 400 becomes the transmission point.

Radio wave propagation simulation can be performed using various techniques such as LOS/NLOS determination in virtual space or Ray tracing simulation. Here, it is assumed that the virtual space estimation unit 132 performs LOS/NLOS determination as a radio wave propagation simulation.

In this case, for example, the virtual space estimation unit 132 determines whether the radio wave propagation environment between the base station 300 and the terminal device 400 is LOS or NLOS in the generated virtual communication environment. do. The virtual space estimation unit 132 uses the result of the LOS/NLOS determination as the simulation result.

As shown in FIG. 7, the virtual space estimation unit 132 generates virtual space estimation information based on the simulation results (step S104).

The virtual space estimating unit 132 selects a suitable radio wave propagation model (path loss model) based on the LOS/NLOS determination result, which is a simulation result, for example. The virtual space estimation unit 132 estimates the path loss between the base station 300 and the terminal device 400 or the received power of the terminal device 400 using the selected radio wave propagation model.

The virtual space estimation unit 132 outputs the estimated path loss or received power to the parameter determination unit 133 of the control station 100 as virtual space estimation information. In addition to/in place of the virtual space estimation information, the virtual space estimating unit 132 may output the LOS/NLOS determination result, which is a simulation result, to the parameter determining unit 133.

Next, as shown in FIG. 7, the parameter determination unit 133 that has received the virtual space estimation information determines communication parameters based on the virtual space estimation information (step S105).

The parameter determining unit 133 determines communication parameters using, for example, techniques such as machine learning, artificial intelligence, and deep learning. Hereinafter, machine learning, artificial intelligence, deep learning, etc. will also be simply referred to as AI (Artificial Intelligence).

For example, the parameter determining unit 133 determines communication parameters using a learned AI model (machine learning model, deep learning model). It is assumed that this AI model is generated in advance by machine learning performed using, for example, information stored in the storage unit 120 and information received via the communication unit 110, in other words, information acquired by the acquisition unit 131.

Learning of the AI model may be performed by the control station 100 (for example, the parameter determination unit 133), or may be performed by another device. If learning of the AI model is performed in a device different from the control station 100, the parameter determining unit 133 acquires information regarding the AI model from this other device. For example, the parameter determining unit 133 obtains coefficients of the AI model from another device.

When the control station 100 performs AI model learning, the control station 100 performs AI learning using, for example, part or all of the information stored in the storage unit 120 and the information received via the communication unit 110. , generate (construct) an AI model. For example, the control station 100 performs learning of an AI model using communication environment information, virtual space estimation information, and communication parameters. Alternatively, the control station 100 may learn the AI model using simulation results.

The AI model outputs communication parameters when at least one of communication environment information, virtual space estimation information, and simulation results is input. When at least one of the virtual space estimation information and the simulation result is input to the AI model, the parameter determination unit 133 uses communication parameters output from the AI model to determine the communication parameters for wireless communication between the base station 300 and the terminal device 400. Decide on the communication parameters to be used.

Note that the AI model may be a model that is trained specifically for each situation in which the base station 300 and the terminal device 400 perform wireless communication (for example, places such as outdoors or indoors), or may be a model that is trained specifically for this situation. It may be a general-purpose model that does not depend on the model.

The parameter determination unit 133 notifies the notification unit 134 of the determined parameters.

As shown in FIG. 7, the notification unit 134 notifies control information based on the communication parameters (step S106). Notification unit 134 notifies base station 300 of control information. Furthermore, the notification unit 134 notifies the terminal device 400 of the control information via the base station 300.

Thereby, the base station 300 and the terminal device 400 can perform wireless communication based on the radio wave propagation environment in real space. In this way, the control station 100 can perform wireless communication control based on the radio wave propagation environment in real space by determining communication parameters based on virtual space estimation information.

Note that in FIG. 7, the virtual space estimation unit 132 performs LOS/NLOS determination as a radio wave propagation simulation, but the simulation performed by the virtual space estimation unit 132 is not limited to this.

As described above, the virtual space estimation unit 132 may perform simulation using ray tracing. In this case, the virtual space estimation unit 132 performs a ray tracing simulation in step S103.

More specifically, for example, the virtual space estimation unit 132 simulates a path transmitted from a transmission point (a path along which radio waves propagate) in a virtual communication environment using a predetermined method. For example, the virtual space estimating unit 132 calculates a path through which radio waves transmitted from a transmission point reach a reception point through reflection, diffraction, transmission, etc. from a structure.

The virtual space estimation unit 132 generates the calculated propagation path conditions for each path as a simulation result.

The virtual space estimating unit 132 performs ray tracing simulation using various methods such as the SBR (Shooting and Bouncing Rays) method and the Image method. For example, the virtual space estimating unit 132 may calculate each path in simulation by considering the material, dielectric constant, conductivity, etc. of the structure.

Next, in step S104, the virtual space estimating unit 132 estimates the path loss and/or received power at the receiving point based on one or more paths that are information on the simulation results.

The virtual space estimation unit 132 outputs the estimated path loss and/or received power to the parameter determination unit 133 as virtual space estimation information. Alternatively, the virtual space estimation unit 132 may output information regarding the path, which is a simulation result, to the parameter determination unit 133 in addition to/in place of the virtual space estimation information.

<2.2.2. Parameter control processing>
FIG. 9 is a sequence diagram illustrating an example of the flow of parameter control processing according to the first embodiment of the present disclosure. The parameter control process shown in FIG. 9 is executed in the wireless communication system when the control station 100 determines communication parameters.

As shown in FIG. 9, the terminal device 400 transmits information regarding its own location and/or communication environment information to the base station 300 (step S201).

Upon receiving the information regarding the location and/or the communication environment information of the terminal device 400, the base station 300 transmits the information regarding the location and/or the communication environment information to the control station 100 (step S202). The information regarding this location includes information regarding the location of the terminal device 400 and information regarding the location of the base station 300 itself that transmits the information. In addition to the communication environment information received from the terminal device 400, the communication environment information may include communication environment information held by the base station 300.

The control station 100 generates control information by executing a determination process (see FIG. 7) based on the received location information and/or communication environment information. The base station 300 receives control information from the control station 100 (step S203).

Next, as shown in FIG. 9, the terminal device 400 receives control information from the base station 300 (step S204). Note that this control information is the same as the control information transmitted by the control station 100. Alternatively, the control information may be generated by the base station 300 based on the control information transmitted by the control station 100.

<2.3. Example of communication parameters>
Next, an example of communication parameters determined by the parameter determination unit 133 will be explained. Here, it is assumed that the parameter determination unit 133 determines the maximum transmission power of the base station 300 located in the local network as a communication parameter.

As described above, in a local network, wireless communication between the base station 300 and the terminal device 400 can be permitted and authorized within a predefined area (for example, own land). Therefore, an upper limit value of interference power can be set so as not to interfere with other people's land beyond the boundary of the own land (boundary of owned land).

FIG. 10 is a diagram for explaining an example of communication parameters. Here, it is assumed that the control station 100 estimates the interference power imparted to another person's land without using information regarding structures in real space.

In this case, since the control station 100 does not use information regarding structures in real space, it uses a statistical radio wave propagation model to estimate interference power based on the most severe conditions. In other words, the control station 100 sets interference power including a predetermined margin.

The reason why the control station 100 estimates the interference power using the most severe conditions is to avoid interfering with other people's land that exceeds the boundary of its own land (boundary of owned land) as described above.

The control station 100 determines the maximum transmission power of the base station 300 according to the estimated interference power. The base station 300 transmits a signal with the maximum transmission power determined by the control station 100.

However, an obstacle 600 such as a building exists in the real space. Therefore, as shown in FIG. 10, the signal transmitted by the base station 300 at the maximum transmission power is blocked by the obstacle 600 and reaches only to this side of the boundary of the base station's own land (the boundary of the owned land). That is, the base station 300 and the terminal device 400 can perform wireless communication only up to the boundary of their own land.

In this way, if the control station 100 determines communication parameters without using information about structures in real space, areas where wireless communication cannot be performed will occur near the boundaries of its own land, which will reduce the efficiency of wireless resource usage in the local network. decreases.

On the other hand, in the determination process according to the first embodiment of the present disclosure, the control station 100 determines communication parameters using information regarding structures in real space. Here, the control station 100 determines the maximum transmission power according to the received power at the boundary of its own land. This allows base station 300 and terminal device 400 to perform wireless communication even near the boundaries of their own land.

FIG. 11 is a diagram for explaining an example of communication parameters. As described above, the control station 100 according to the present embodiment determines communication parameters using information regarding structures in real space.

Therefore, the control station 100 can more accurately estimate the received power at the boundary of the property, in other words, the interference power in the area beyond the boundary of the property, compared to the case where information regarding structures in real space is not used. . In other words, the control station 100 according to the present embodiment can reduce (or improve, or cancel) the margin that is set when information regarding structures in real space is not used.

By determining communication parameters (for example, maximum transmission power) by the control station 100 in consideration of structures in real space, the signal transmitted by the base station 300 at the maximum transmission power can be transmitted on its own land, as shown in FIG. It can reach the boundary (the boundary of your property). That is, base station 300 and terminal device 400 can perform wireless communication even near the boundaries of their own land.

In this way, when the control station 100 determines communication parameters using information about structures in real space, it becomes possible to perform wireless communication near the boundaries of its own land compared to a case where this information is not used. . Thereby, the wireless communication system can improve (improve) the usage efficiency of wireless resources in the local network.

Note that FIGS. 10 and 11 show a case where the base station 300 performs wireless communication using beams (beams #1 to #3 in FIGS. 10 and 11). In this way, base station 300 can perform wireless communication using beams. In this case, the control station 100 can determine communication parameters (here, maximum transmission power) for each predetermined direction (beam).

In this way, when the base station 300 uses beams, the control station 100 can perform wireless communication control according to more detailed radio wave propagation paths by determining communication parameters for each beam. Thereby, the communication system can further improve (improve) the utilization efficiency of radio resources.

Note that although it is assumed here that the base station 300 uses a beam, even if the base station 300 does not use a beam, the control station 100 can similarly determine the communication parameters according to the received power at the boundary of the property. .

<<3. Second embodiment >>
In the first embodiment described above, the parameter determining unit 133 determines communication parameters using virtual space estimation information, but the information that the parameter determining unit 133 uses to determine communication parameters is not limited to this. For example, the parameter determination unit 133 may determine communication parameters using information acquired by the acquisition unit 131 in addition to the virtual space estimation information.

<3.1. Wireless station configuration example>
FIG. 12 is a block diagram illustrating a configuration example of the control station 100 according to the second embodiment of the present disclosure. Control station 100 shown in FIG. 12 has the same configuration as control station 100 shown in FIG. 4 except that acquisition section 131 outputs acquired information to parameter determination section 133.

The acquisition information acquired by the acquisition unit 131 includes, for example, information acquired from at least one of the local network, core network 200, base station 300, terminal device 400, and other communication nodes via the communication unit 110. The acquired information includes, for example, real space measurement information that is measurement information of wireless communication in real space. The real space measurement information may include, for example, dynamic information among the wireless communication information related to the wireless communication described above.

The parameter determining unit 133 determines communication parameters using virtual space estimation information and real space measurement information. For example, when the parameter determining unit 133 determines communication parameters using an AI model, the parameter determining unit 133 uses the output when virtual space estimation information and real space measurement information are input to the AI model as the communication parameters.

In this case, the control station 100 determines communication parameters using an AI model learned using real space measurement information in addition to the data used for learning in the first embodiment.

In this way, the control station 100 can determine communication parameters with higher accuracy by determining communication parameters using real space measurement information in addition to virtual space estimation information.

<3.2. Communication processing>
<3.2.1. Decision processing>
FIG. 13 is a flowchart illustrating an example of the flow of determination processing according to the second embodiment of the present disclosure. Among the determination processing shown in FIG. 13, the same processing as the determination processing shown in FIG. 10 is given the same reference numeral and the explanation thereof will be omitted.

As shown in FIG. 13, the acquisition unit 131 that acquired the environment information (communication environment information) in step S101 acquires real space measurement information via the communication unit 110 (step S301). The acquisition unit 131 outputs the acquired real space measurement information to the parameter determination unit 133.

The parameter determination unit 133 determines communication parameters using real space measurement information in addition to virtual space estimation information in step S105.

<3.2.2. Parameter control processing>
FIG. 14 is a sequence diagram illustrating an example of the flow of parameter control processing according to the second embodiment of the present disclosure. Among the parameter control processes shown in FIG. 14, the same processes as the parameter control processes shown in FIG. 9 are given the same reference numerals, and the description thereof will be omitted.

The terminal device 400 transmits real space measurement information measured by itself to the base station 300 (step S401).

The base station 300 transmits real space measurement information to the control station 100 (step S402). This real space measurement information may include real space measurement information measured by terminal device 400 and real space information measured by base station 300.

Note that although it is assumed here that the terminal device 400 and the base station 300 transmit the real space measurement information and then the information regarding the position and/or the communication environment information, the order in which the information is transmitted is not limited to this. For example, the terminal device 400 and/or the base station 300 may transmit the real space measurement information after transmitting the information regarding the location and/or the communication environment information.

As described above, the control station 100 can determine communication parameters with higher accuracy by determining communication parameters using real space measurement information and virtual space estimation information. For example, when the communication parameter is the maximum transmission power of the base station 300, the base station 300 suppresses interference outside the service area provided by the local network while transmitting a signal with a power that reaches near the boundary of this area. Can be sent.

<<4. Third embodiment >>
In the first and second embodiments described above, the control station 100 determines communication parameters in one process, but the process performed by the control station 100 is not limited to this. For example, the control station 100 may perform repeated processing to determine the communication parameters.

As the control station 100 repeatedly performs the process, the accuracy of the communication parameters determined by the parameter determination unit 133 can be improved. Furthermore, the accuracy of the virtual communication environment constructed by the virtual space estimation unit 132 can be improved. The accuracy of the radio wave propagation simulation executed by the virtual space estimation unit 132 can be improved.

Note that the iterative process can be applied to both the first embodiment and the second embodiment. Here, in order to simplify the explanation, an example will be described in which the processing of the second embodiment is repeated.

Further, the iterative processing according to this embodiment can be classified into the following three methods depending on which processing of the determination processing is repeated.
- A first process that repeats the processing of the virtual space estimation unit 132 and the parameter determination unit 133. - A second process that repeats the first process further including the process of the acquisition unit 131. - A second process that further includes the processing of the notification unit 134 in the second process. The third process that repeats including the process

<4.1. Control station configuration example>
FIG. 15 is a block diagram illustrating a configuration example of the control station 100 according to the third embodiment of the present disclosure. Control station 100 shown in FIG. 15 has the same configuration as control station 100 shown in FIG. 12, except that parameter determination section 133 outputs predetermined information to virtual space estimation section 132.

<4.2. Decision processing>
As described above, the control station 100 according to the present embodiment repeatedly executes part of the determination process. The control station 100 executes at least one of the first to third processes as the determination process according to the present embodiment.

<4.2.1. First process>
The first process is a process that repeats the process of the virtual space estimation unit 132 and the process of the parameter determination unit 133 in the determination process.

The virtual space estimating unit 132 generates virtual space estimation information assuming predetermined communication parameters (for example, specified values or initial values). The parameter determining unit 133 determines communication parameters based on virtual space estimation information and real space measurement information.

At this time, there is a possibility that the communication parameters assumed by the virtual space estimating unit 132 and the communication parameters updated (changed) by the parameter determining unit 133 in the subsequent stage are different.

Therefore, in the first process, the communication parameters determined by the parameter determination unit 133 are fed back to the virtual space estimation unit 132, so that the virtual space estimation unit 132 generates virtual space estimation information again based on the updated communication parameters. can do. The parameter determination unit 133 determines communication parameters based on virtual space estimation information that is regenerated using the updated communication parameters. Thereby, the parameter determining unit 133 can determine communication parameters with higher accuracy.

FIG. 16 is a flowchart illustrating an example of the flow of the first process according to the third embodiment of the present disclosure. Note that among the first processing shown in FIG. 16, the same processing as the determination processing shown in FIG. 13 is given the same reference numeral, and the description thereof will be omitted.

As shown in FIG. 16, the parameter determining unit 133 that determined the communication parameters in step S105 determines whether or not to repeatedly determine the communication parameters (step S501).

For example, when the parameter determining unit 133 repeatedly determines communication parameters a specified number of times, the parameter determining unit 133 determines whether or not to repeat the process depending on whether or not the communication parameters have been determined a specified number of times. . Alternatively, the parameter determination unit 133 may determine whether to repeat the process depending on whether the accuracy of a predetermined parameter is greater than or equal to a predetermined value, and whether the accuracy of the communication environment or the like is greater than or equal to a predetermined value. It may be determined whether or not to repeat the process depending on the result.

If it is determined that communication parameters are to be determined repeatedly (step S501; Yes), the parameter determination unit 133 provides feedback of the communication parameters (step S502), and returns to step S103. For example, the parameter determining unit 133 feeds back communication parameters to the virtual space estimating unit 132.

The virtual space estimation unit 132 executes a radio wave propagation simulation between the base station 300 and the terminal device 400 (between the transmission point and the reception point) based on the updated communication parameters.

If it is determined not to repeatedly determine the communication parameters (step S501; No), the parameter determination unit 133 outputs the determined communication parameters to the notification unit 134. The notification unit 134 transmits control information based on the communication parameters in step S106.

<4.2.2. Second process>
The second process is a process that repeats the process of the acquisition unit 131, the process of the virtual space estimation unit 132, and the process of the parameter determination unit 133 in the determination process.

For example, while the control station 100 is determining communication parameters, the real space measurement information measured by the terminal device 400, the base station 300, etc. may change. If the control station 100 determines the communication parameters through repeated processing, the processing time may become long, and in this case, there is a possibility that the real space measurement information will fluctuate.

Therefore, in the second process, the communication parameters determined by the parameter determination unit 133 are fed back to the virtual space estimation unit 132, and the acquisition unit 131 acquires the real space measurement information again. Thereby, the virtual space estimation unit 132 can generate virtual space estimation information again using the updated communication parameters and real space measurement information. By determining communication parameters using this virtual space estimation information, the parameter determination unit 133 can determine communication parameters with higher accuracy.

Alternatively, if the terminal device 400 is a movable device, real space measurement information measured by the terminal device 400 at different positions may be transmitted to the control station 100. In this case, the control station 100 can generate virtual space estimation information based on real space measurement information measured at various positions. Thereby, the control station 100 can improve the overall estimation accuracy of the radio wave propagation simulation within the area, and can calculate the virtual space estimation information with higher accuracy.

FIG. 17 is a flowchart illustrating an example of the flow of the second process according to the third embodiment of the present disclosure. Note that among the second processing shown in FIG. 17, the same processing as the first processing shown in FIG. 16 is given the same reference numeral, and the description thereof will be omitted.

As shown in FIG. 17, if the parameter determination unit 133 determines in step S501 to perform repeated processing (step S501; Yes), it feeds back the communication parameters (step S502), and returns to step S301.

In this way, in the second process, the control station 100 feeds back the communication parameters after repeated determination, returns to step S301, and acquires real space measurement information again.

Thereby, the virtual space estimation unit 132 can generate virtual space estimation information based on the updated communication parameters and real space measurement information. Furthermore, the parameter determination unit 133 can determine communication parameters based on the updated virtual space estimation information and real space measurement information.

In this way, by repeatedly performing processing from acquisition of real space measurement information, the control station 100 can determine communication parameters based on real space measurement information measured by the terminal device 400 at the same location, for example. . Thereby, the control station 100 can determine communication parameters in consideration of long-term fluctuations in measurement information in real space.

Alternatively, the control station 100 can determine the communication parameters based on real space measurement information measured by the same terminal device 400 at different locations, for example. Thereby, the control station 100 can determine communication parameters based on measurement information measured at various locations in real space, and can improve overall estimation accuracy within the area.

<4.2.3. Third process>
The third process is a process that repeats the process of the acquisition unit 131, the process of the virtual space estimation unit 132, the process of the parameter determination unit 133, and the process of the notification unit 134 in the determination process. Note that the third process can be executed not only by the control station 100 shown in FIG. 15 but also by the control station 100 shown in FIG. 4 or FIG. 12.

For example, real space measurement information may change due to wireless communication being performed between the base station 300 and the terminal device 400 based on communication parameters determined by the control station 100.

Therefore, in the third process, the control station 100 obtains real space measurement information again after notifying control information according to the communication parameters, and determines communication parameters using the obtained real space measurement information. Thereby, the parameter determination unit 133 can determine communication parameters using the updated real space measurement information, and can determine communication parameters with higher accuracy.

FIG. 18 is a flowchart illustrating an example of the flow of the third process according to the third embodiment of the present disclosure. Note that among the third processing shown in FIG. 18, the same processing as the determination processing shown in FIG. 13 is given the same reference numeral, and a description thereof will be omitted.

As shown in FIG. 18, after transmitting the control information in step S106, the notification unit 134 determines whether to repeatedly determine communication parameters (step S601). The notification unit 134 repeatedly performs the determination in the same manner as in step S501 of FIG. 17, for example.

If it is determined to repeatedly determine the communication parameters (step S601; Yes), the control station 100 returns to step S301. Thereby, the acquisition unit 131 acquires the real space measurement information measured by the base station 300 and/or the terminal device 400 after the update, that is, by applying new control information.

On the other hand, if it is determined not to repeatedly determine communication parameters (step S601; No), the control station 100 ends the third process.

Note that here, the parameter determining unit 133 does not feedback the communication parameters during the repetitive processing, but the parameter determining unit 133 may feedback the communication parameters. In this case, the parameter determination unit 133 feeds back the communication parameters to the virtual space estimation unit 132 after it is determined that the iterative process is to be performed.

As described above, in the third embodiment, the control station 100 repeatedly executes at least part of the determination process. Thereby, the control station 100 can determine communication parameters with higher accuracy.

Note that the control station 100 may re-learn the AI model in the iterative process. In this case, the AI model is retrained using, for example, at least one of virtual space estimation information generated again according to the determined communication parameters, communication parameters determined again, and real space measurement information acquired again. be done. By relearning the AI model in this way, the accuracy of the AI model that determines communication parameters can be further improved.

<<5. Application example >>
<5.1. First application example>
As described above, the determination of communication parameters is executed by the control station 100. At this time, the control station 100 may determine the communication parameters according to an instruction from a user who owns the terminal device 400, for example. The control station 100 can estimate communication conditions (for example, received power, interference power, etc.) according to instructions from a user.

In this case, the user first applies to the control station 100 to perform estimation by transmitting to the control station 100 information used (or useful) for estimation at the control station 100. The user can transmit this information using the terminal device 400 that he/she owns.

FIG. 19 is a diagram illustrating an example of a user interface of the terminal device 400 according to the first application example of the present disclosure.

In the example of FIG. 19, the terminal device 400 transmits information regarding at least one of the surrounding image of the point to be estimated, a questionnaire regarding the communication environment, the estimated point, and a map, as information used for estimation by the control station 100. .

The information regarding the surrounding images of the estimated point may be a still image or a moving image. Further, the terminal device 400 may transmit a peripheral image photographed in advance to the control station 100. Alternatively, as shown in FIG. 19, when requesting estimation from the control station 100, the user may take a peripheral image (photograph) using a camera (not shown) installed in the terminal device 400. good. The terminal device 400 transmits surrounding images photographed by the user to the control station 100.

Questionnaire information regarding the communication environment is, for example, information generated based on information input by the user. When the user answers the questionnaire displayed on the display device, the terminal device 400 generates questionnaire information. The questionnaire to which the user responds may be of a selection format where the user selects an answer with Yes or No, or may be of a descriptive format where the user answers in free description.

Examples of the questionnaire include questions regarding whether the base station 300 is visible, questions regarding the surrounding environment, and questions regarding the assumed maximum transmission power of the base station 300. Questions about the surrounding environment may include, for example, questions about whether the point to be estimated is outdoors or indoors, and if it is outdoors, whether it is in a depopulated area, a suburb, or an urban area. Further, the questions regarding the surrounding environment may include, for example, a question about whether the environment is indoors, whether it is a residence or an office.

Additionally, the information regarding the estimated point includes information regarding the point at which the control station 100 estimates received power, interference power, and the like. This estimated point may be the current location of the terminal device 400, or may be a location different from the current location (for example, the planned installation location of the terminal device 400).

The terminal device 400 can transmit absolute position information such as latitude, longitude, and altitude to the control station 100 as information regarding the estimated location. Alternatively, the terminal device 400 may transmit relative position information such as a relative positional relationship with the base station 300 as information regarding the estimated point.

Alternatively, the terminal device 400 may transmit the location where the surrounding image was taken to the control station 100 as the estimated location. For example, when a camera installed in the terminal device 400 photographs surrounding images including information regarding the photographing location, the terminal device 400 transmits the information regarding the photographing location to the control station 100 as information regarding the estimated point.

Additionally, the terminal device 400 may include information regarding the estimated location in the information regarding the map.

The information regarding the map includes, for example, information regarding the map around the estimated point. At this time, the terminal device 400 can transmit map information indicating the installation location of the base station 300 to the control station 100. At this time, the terminal device 400 may include information regarding its own position or estimated point in the map information and transmit it to the control station 100.

The control station 100 executes the above-described determination process based on the information obtained from the terminal device 400, and estimates virtual space estimation information and/or communication parameters. Control station 100 notifies terminal device 400 of the estimation result. Based on the notification, the terminal device 400 presents the estimation result to the user by displaying it on a display device.

<5.2. Second application example>
As a second application example, a case will be described in which a user who owns a terminal device 400 asks the control station 100 to estimate the coverage (communication possible) based on real space when the base station 300 is installed at a predetermined location. .

The user first applies to the control station 100 to perform estimation by transmitting to the control station 100 information used (or useful) for estimation at the control station 100. The user can transmit this information using the terminal device 400 that he/she owns.

The terminal device 400 transmits at least one of information regarding the maximum transmission power assumed by the base station 300 and map information as information used for estimation by the control station 100. The map information includes, for example, information regarding the location of the base station 300 (corresponding to the above-mentioned predetermined location). The position of the base station 300 is a position at which the control station 100 estimates coverage based on real space. This location may be the current location of the terminal device 400, or may be a location specified by the user.

The control station 100 executes the above-described determination process based on the information obtained from the terminal device 400, and estimates virtual space estimation information and/or communication parameters. In other words, the control station 100 estimates an area where the interference power is equal to or greater than a predetermined value. Thereby, the control station 100 estimates the coverage of the base station 300 when the base station 300 is placed at a predetermined position.

The control station 100 notifies the terminal device 400 of information regarding the estimated coverage as the estimation result. The terminal device 400 presents the acquired estimation results to the user by displaying them on a display device.

FIG. 20 is a diagram illustrating an example of a user interface of the terminal device 400 according to the second application example of the present disclosure. FIG. 20 shows a case where the terminal device 400 presents the estimation result obtained from the control station 100 to the user.

As shown in FIG. 20, the terminal device 400 displays information indicating the coverage estimated by the control station 100 together with the base station 300 on the map information on a display device.

At this time, the terminal device 400 may present to the user the assumed maximum transmission power ("estimated transmission power" in the figure) used in coverage estimation. Furthermore, the terminal device 400 may accept a change in this estimated transmission power from the user.

For example, as shown in FIG. 20, the user can freely change the number indicating the expected transmission power. When the user presses the "send" button after inputting the estimated transmission power, the terminal device 400 requests the control station 100 to re-estimate the coverage using the estimated transmission power input by the user.

In this way, by the terminal device 400 presenting the estimated coverage of the base station 300 to the user together with the map information, the user can more easily recognize the estimated coverage of the base station 300.

<<6. Other embodiments >>
The processing according to each of the embodiments described above may be implemented in various different forms other than those of the embodiments described above.

In each of the embodiments described above, the terminal device 400 and the base station 300 transmit various information (for example, real space measurement information, communication environment information, information used by the control station 100 for estimation, etc.) to the control station 100. Conditions regarding information transmission by the terminal device 400 and the base station 300 can be individually set or defined. These conditions include, for example, the timing of transmitting information, the trigger conditions for transmitting, and the period.

For example, when the terminal device 400 transmits object detection information, the information may be transmitted at the timing when the terminal device 400 detects the object. That is, when the terminal device 400 detects an object as a trigger, the terminal device 400 transmits the detection information to the control station 100. In other words, the terminal device 400 does not need to transmit the detection information to the control station 100 while not detecting an object.

For example, when the terminal device 400 transmits quality information regarding communication quality, the terminal device 400 determines whether to transmit the quality information based on the difference from the previously transmitted quality information.

Specifically, when the quality information is greater than or equal to a predetermined value (exceeds a predetermined value) compared to the quality information transmitted last time, the terminal device 400 transmits the quality information to the control station 100. In other words, if the quality information is less than a predetermined value (greater than or equal to a predetermined value) compared to the quality information transmitted last time, the terminal device 400 does not need to transmit the quality information to the control station 100. .

Note that when transmitting quality information, the terminal device 400 may transmit information indicating a difference from the previous quality information to the control station 100.

For example, the control device that controls the control station 100, base station 300, and terminal device 400 in the embodiment described above may be realized by a dedicated computer system or a general-purpose computer system.

For example, a communication program for executing the above operations is stored and distributed in a computer-readable recording medium such as an optical disk, semiconductor memory, magnetic tape, or flexible disk. Then, for example, the program is installed on a computer and the control device is configured by executing the above-described processing. At this time, the control device may be a device (for example, a personal computer) external to the control station 100, the base station 300, and the terminal device 400. Further, the control device may be a device inside the control station 100, the base station 300, and the terminal device 400 (for example, the control units 130, 340, 450).

Furthermore, the communication program may be stored in a disk device included in a server device on a network such as the Internet, so that it can be downloaded to a computer. Furthermore, the above-mentioned functions may be realized through collaboration between an OS (Operating System) and application software. In this case, the parts other than the OS may be stored on a medium and distributed, or the parts other than the OS may be stored in a server device so that they can be downloaded to a computer.

Further, among the processes described in each of the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually All or part of this can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

Further, each of the embodiments and modifications described above can be combined as appropriate within a range that does not conflict with the processing contents.

Furthermore, the effects described in this specification are merely examples and are not limiting, and other effects may also exist.

Further, for example, the present embodiment can be applied to any configuration constituting a device or system, such as a processor as a system LSI (Large Scale Integration), a module using multiple processors, a unit using multiple modules, etc. Furthermore, it can also be implemented as a set (that is, a partial configuration of the device) with additional functions.

Note that in this embodiment, a system means a collection of multiple components (devices, modules (components), etc.), and it does not matter whether all the components are in the same housing or not. Therefore, multiple devices housed in separate casings and connected via a network, and one device with multiple modules housed in one casing are both systems. .

Furthermore, for example, the present embodiment can take a cloud computing configuration in which one function is shared and jointly processed by a plurality of devices via a network.

Note that in each of the embodiments described above, a case has been described in which the control station 100 determines the transmission parameters of the base station 300 and/or the terminal device 400, but the present invention is not limited to this. Each of the embodiments described above is for the purpose of determining and designing the number of installed base stations 300 and/or terminal devices 400 (upper limit of installed number), installation location, and/or installation direction (horizontal direction, tilt angle, etc.). can be used.

<<7. Conclusion >>
Although the embodiments of the present disclosure have been described above, the technical scope of the present disclosure is not limited to the above-mentioned embodiments as they are, and various changes can be made without departing from the gist of the present disclosure. . Furthermore, components of different embodiments and modifications may be combined as appropriate.

Further, the effects in each embodiment described in this specification are merely examples and are not limited, and other effects may also be provided.

Note that the present technology can also have the following configuration.
(1)
Using a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space, the base station and the terminal device Generate virtual space estimation information regarding wireless communication with the terminal device,
a control unit that determines communication parameters of at least one of the base station and the terminal device based on the virtual space estimation information;
An information processing device comprising:
(2)
The information processing device according to (1), wherein the control unit determines the communication parameter based on measurement information of the wireless communication in the real space.
(3)
The information processing device according to (2), wherein the measurement information includes a measurement result obtained by the terminal device measuring the wireless communication in the real space.
(4)
Any one of (1) to (3), wherein the control unit regenerates the virtual space estimation information according to the determined communication parameters, and re-determines the communication parameters based on the regenerated virtual space estimation information. The information processing device according to item 1.
(5)
The control unit generates the virtual space estimation information again according to the determined communication parameters and the reacquired measurement information of the wireless communication in the real space, and based on the regenerated virtual space estimation information. , the information processing device according to any one of (1) to (3), wherein communication parameters are determined again.
(6)
The control unit includes:
Notifying at least one of the base station and the terminal device the determined communication parameters;
acquiring measurement information in the real space of the wireless communication using the communication parameters;
re-determining communication parameters based on the measurement information;
The information processing device according to any one of (1) to (3).
(7)
The information processing device according to any one of (1) to (6), wherein the virtual space estimation information includes information regarding radio wave propagation of at least one of the base station and the terminal device.
(8)
(1) The virtual space estimation information includes information indicating that a LOS (Line-Of-Sight) environment or an NLOS (Non Line-Of-Sight) environment exists between the base station and the terminal device. The information processing device according to any one of (7) to (7).
(9)
The information processing device according to any one of (1) to (8), wherein the virtual space estimation information includes simulation information regarding a simulation result of radio wave propagation in the wireless communication.
(10)
The information processing device according to (9), wherein the simulation information includes path estimation information regarding a result of estimating a radio wave path.
(11)
The information processing device according to (10), wherein the path estimation information includes information regarding the path of the radio wave estimated based on ray tracing.
(12)
The communication environment information includes information regarding any one of a structure in the real space, at least one of the base station and the terminal device, a sensing result in the real space, and the wireless communication. ) to (11).
(13)
The information processing device according to any one of (1) to (12), wherein the control unit acquires the communication environment information from at least one of a storage unit and another device.
(14)
(1) to (13), wherein the control unit determines the communication parameters using a learning model that receives at least one of the communication environment information and the virtual space estimation information as input and outputs the communication parameters; The information processing device according to any one of the above.
(15)
The information according to (14), wherein the learning model is learned using at least one of the communication environment information, the virtual space estimation information, the communication parameters, and the measurement information of the wireless communication in the real space. Processing equipment.
(16)
The learning model includes at least one of the virtual space estimation information generated again according to the determined communication parameters, communication parameters determined again, and measurement information of the wireless communication in the real space acquired again. The information processing device according to (14) or (15), wherein the information processing device is retrained using the following.
(17)
The communication parameters include information regarding the maximum transmission power of the base station,
The information processing device according to any one of (1) to (16), wherein the control unit determines the maximum transmission power according to received power at a boundary of a communication area of the wireless communication.
(18)
Obtain communication parameters from the information processing device,
a control unit that communicates with the base station using the acquired communication parameters;
Equipped with
The communication parameter is a parameter determined by the information processing device based on virtual space estimation information,
The virtual space estimation information is a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space. information generated by the information processing apparatus using the information processing apparatus, which is information regarding wireless communication between the base station and the terminal device;
Terminal device.
(19)
(18) the control unit transmits the communication environment information including either a peripheral image at a predetermined position and map information including either the predetermined position or the base station to the information processing device; The terminal device described in .
(20)
The terminal device according to (19), wherein the control unit acquires the communication parameters used when performing the wireless communication at the predetermined position from the information processing device.
(21)
The terminal device according to any one of (18) to (20), wherein the control unit displays information regarding coverage of the wireless communication on a display device based on the communication parameters.
(22)
Using a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space, the base station and the terminal device Generating virtual space estimation information regarding wireless communication with a terminal device;
determining communication parameters of at least one of the base station and the terminal device based on the virtual space estimation information;
Information processing methods including
(23)
Obtaining communication parameters from the information processing device;
communicating with a base station using the acquired communication parameters;
including;
The communication parameter is a parameter determined by the information processing device based on virtual space estimation information,
The virtual space estimation information is a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space. information generated by the information processing apparatus using the information processing apparatus, which is information regarding wireless communication between the base station and the terminal device;
Communication method.

100

Control station

110, 310, 410

Communication unit

120, 320, 420 Storage unit 130, 340, 450 Control unit 131 Acquisition unit 132 Virtual space estimation unit 133 Parameter determination unit 134 Notification unit 300

Base station

330, 430 Network communication unit 400 Terminal Device 440 Input/output section

Claims

Using a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space, the base station and the terminal device Generate virtual space estimation information regarding wireless communication with the terminal device,
a control unit that determines communication parameters of at least one of the base station and the terminal device based on the virtual space estimation information;
An information processing device comprising:
The information processing device according to claim 1, wherein the control unit determines the communication parameter based on measurement information of the wireless communication in the real space.
The information processing device according to claim 2, wherein the measurement information includes a measurement result obtained by the terminal device measuring the wireless communication in the real space.
The information processing device according to claim 1, wherein the control unit regenerates the virtual space estimation information according to the determined communication parameters, and determines the communication parameters again based on the regenerated virtual space estimation information. .
The control unit generates the virtual space estimation information again according to the determined communication parameters and the reacquired measurement information of the wireless communication in the real space, and based on the regenerated virtual space estimation information. , the information processing apparatus according to claim 1, wherein communication parameters are determined again.
The control unit includes:
Notifying at least one of the base station and the terminal device the determined communication parameters;
acquiring measurement information in the real space of the wireless communication using the communication parameters;
re-determining communication parameters based on the measurement information;
The information processing device according to claim 1.
The information processing device according to claim 1, wherein the virtual space estimation information includes information regarding radio wave propagation of at least one of the base station and the terminal device.
The information processing device according to claim 1, wherein the virtual space estimation information includes simulation information regarding a simulation result of radio wave propagation in the wireless communication.
The communication environment information includes information regarding any one of a structure in the real space, at least one of the base station and the terminal device, a sensing result in the real space, and the wireless communication. 1. The information processing device according to 1.
The information processing according to claim 1, wherein the control unit determines the communication parameters using a learning model that receives at least one of the communication environment information and the virtual space estimation information as input and outputs the communication parameters. Device.
The information according to claim 10, wherein the learning model is learned using at least one of the communication environment information, the virtual space estimation information, the communication parameters, and the measurement information of the wireless communication in the real space. Processing equipment.
The learning model includes at least one of the virtual space estimation information generated again according to the determined communication parameters, communication parameters determined again, and measurement information of the wireless communication in the real space acquired again. The information processing device according to claim 10, wherein the information processing device is retrained using.
The communication parameters include information regarding the maximum transmission power of the base station,
The information processing device according to claim 1, wherein the control unit determines the maximum transmission power according to received power at a boundary of a communication area of the wireless communication.
Obtain communication parameters from the information processing device,
a control unit that communicates with a base station using the acquired communication parameters;
Equipped with
The communication parameter is a parameter determined by the information processing device based on virtual space estimation information,
The virtual space estimation information is a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space. information generated by the information processing apparatus using the information processing apparatus, which is information regarding wireless communication between the base station and the terminal device;
Terminal device.
14. The control unit transmits the communication environment information including one of a surrounding image at a predetermined position and map information including one of the predetermined position and the base station to the information processing device. The terminal device described in .
The terminal device according to claim 15, wherein the control unit acquires the communication parameters used when performing the wireless communication at the predetermined position from the information processing device.
The terminal device according to claim 14, wherein the control unit displays information regarding coverage of the wireless communication on a display device based on the communication parameters.
Using a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space, the base station and the terminal device Generating virtual space estimation information regarding wireless communication with a terminal device;
determining communication parameters of at least one of the base station and the terminal device based on the virtual space estimation information;
Information processing methods including.
Obtaining communication parameters from the information processing device;
communicating with a base station using the acquired communication parameters;
including;
The communication parameter is a parameter determined by the information processing device based on virtual space estimation information,
The virtual space estimation information is a virtual communication environment generated based on position information regarding the position of at least one of the base station and the terminal device in real space, and communication environment information regarding the communication environment in the real space. information generated by the information processing apparatus using the information processing apparatus, which is information regarding wireless communication between the base station and the terminal device;
Communication method.