JP2022133694A - Base station and control method - Google Patents

Abstract

To provide a base station and a control method that are capable of improving communication characteristics by performing control considering interference.SOLUTION: A base station supporting a first radio system and belonging to a first network comprises: a measurement unit for measuring a first interference amount on the basis of a reception signal received at specific measurement time; an estimation unit for estimating a second interference amount based on a reception signal determined to be transmitted by a first radio device supporting the first radio system and belonging to the first network; a correction unit for correcting the second interference amount on the basis of a communication success ratio of the first radio device; and a determination unit that determines a third interference amount from the first interference amount and the corrected second interference amount, based on a signal transmitted by a second radio device not belonging to the first network.SELECTED DRAWING: Figure 2

Description

The present disclosure relates to base stations and control methods.

An unlicensed band may be used for communication between wireless communication devices (for example, between a base station and a terminal). Since the unlicensed band is used by various wireless communication systems, interference from various factors may occur, and the resulting interference may degrade communication characteristics (for example, throughput).

For example, Patent Literature 1 describes a radio communication system in which a centralized station controls channel allocation of channels acquired by base stations, thereby increasing the overall throughput of a plurality of base stations.

JP 2013-81089 A

However, in an environment where various wireless communication systems use, there is room for further study on methods of improving communication characteristics by performing control in consideration of interference.

Non-limiting embodiments of the present disclosure contribute to providing a base station and a control method capable of improving communication characteristics by performing control in consideration of interference.

A base station according to an embodiment of the present disclosure is a base station that supports a first wireless system and belongs to a first network, based on a received signal received at a specific measurement time, a first interference a measuring unit for measuring a quantity; and an estimator for estimating a second interference quantity based on a received signal determined to have been transmitted by a first radio device supporting said first radio system and belonging to said first network. a correction unit that corrects the second interference amount based on the communication success rate of the first wireless device, the first interference amount, and the second interference amount after the correction, a determiner that determines a third interference amount based on signals transmitted by a second wireless device that does not belong to the first network.

A control method according to an embodiment of the present disclosure supports a first wireless system, and a base station belonging to a first network measures a first amount of interference based on a received signal received at a specific measurement time. measuring and estimating a second amount of interference based on a received signal determined to support the first wireless system and transmitted by a first wireless device belonging to the first network; Based on the communication success rate of the device, the second interference amount is corrected, and from the first interference amount and the corrected second interference amount, the second interference amount that does not belong to the first network A third interference measure is determined based on the signal transmitted by the wireless device.

In addition, these generic or specific aspects may be realized by systems, devices, methods, integrated circuits, computer programs, or recording media. may be realized by any combination of

According to an embodiment of the present disclosure, it is possible to improve communication characteristics by performing control in consideration of interference.

Further advantages and advantages of an embodiment of the present disclosure are apparent from the specification and drawings. Such advantages and/or advantages may be provided by some of the embodiments and features described in the specification and drawings, respectively, but not necessarily all provided to obtain one or more of the same features. no.

Diagram showing an overview of a radio system including LPWA Block diagram showing a configuration example of a base station according to an embodiment Diagram showing an example of classification processing into managed interference and unmanaged interference Diagram showing an example of an error in interference classification FIG. 4B shows an example of channel allocation according to the classification error shown in FIG. 4A. Diagram showing an example of communication success rate Flowchart showing a first example of the processing flow of the base station in the embodiment Flowchart showing a second example of the processing flow of the base station in the embodiment Flowchart showing a third example of the processing flow of the base station according to the embodiment Flowchart showing a fourth example of the processing flow of the base station according to the embodiment Flowchart showing a fifth example of the processing flow of the base station according to the embodiment Flowchart showing a sixth example of the processing flow of the base station in the embodiment Flowchart showing a seventh example of the processing flow of the base station in the embodiment Flowchart showing an eighth example of the processing flow of the base station in the embodiment

Preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In the present specification and drawings, constituent elements having substantially the same functions are denoted by the same reference numerals, thereby omitting redundant description.

(one embodiment)
In IoT (Internet of Things) and/or M2M (Machine to Machine), use of a wireless communication technology called LPWA (Low Power Wide Area) that enables communication in a wide area with low power consumption is under consideration.

LPWA is under consideration for operation in an unlicensed band (eg, 920 MHz band). There are multiple schemes (standards) for LPWA. For example, the LPWA communication system includes a first communication system that performs communication using a spread spectrum system and a second communication system that performs communication without using the spread spectrum system. The first communication method includes, for example, a communication method called “LoRa”. The second communication method includes, for example, a communication method called “Wi-SUN (Wireless Smart Utility Network)”.

Hereinafter, as an example of the first communication method, a communication method called “LoRa” (hereinafter referred to as “LoRa method”) will be given, and as an example of the second communication method, “Wi-SUN” will be used. communication system (hereinafter referred to as “Wi-SUN system”). However, the present disclosure is not limited to the LoRa system and the Wi-SUN system.

Also, hereinafter, a terminal that operates based on the LoRa scheme (supports the LoRa scheme) is described as a "LoRa terminal", and a terminal that operates based on the Wi-SUN scheme (supports the Wi-SUN scheme) is , may be described as a “Wi-SUN terminal”. Also, the “LoRa terminal” and the “Wi-SUN terminal” may be described as LPWA terminals without distinction. Further, hereinafter, a signal transmitted/received based on the LoRa system is referred to as a "LoRa signal", and a signal transmitted/received based on the Wi-SUN system is referred to as a "Wi-SUN signal".

LPWA terminals are not limited to terminals owned by users, and are installed in various devices. For example, LPWA terminals are installed in home appliances such as televisions, air conditioners, washing machines, and refrigerators, as well as in mobile transportation such as vehicles.

The unlicensed band is used by various systems other than LPWA, including, for example, Wi-Fi (registered trademark) and RFID (Radio Frequency Identifier).

An example in which the wireless system according to the present embodiment is an LPWA system will be described below. The present disclosure is not limited to this and may be applied to wireless systems other than LPWA systems.

FIG. 1 is a diagram showing an outline of a radio system including LPWA.

Group #1, Group #2, and Group #3 are shown in FIG. Each group contains multiple devices.

Groups #1 and #2 are both LPWA systems. However, the network #1 (NW#1) to which each device of group #1 belongs is different from the network #2 (NW#2) to which each device of group #2 belongs. For example, NW#1 and NW#2 are the same LPWA system, and are networks operated by different operators. The LPWA systems of group #2 are wireless systems of networks not managed by group #1 (unmanaged networks).

Group #1 includes devices belonging to NW#1 and wired or wirelessly connected to NW#1. For example, group #1 includes base station #1, Wi-SUN terminal #1, LoRa terminal #1, and LoRa terminal #2. Group #1 includes control device #1 that centrally controls GW and the like via NW#1. The controller may be a server, a control server, or the like.

The base station #1 may have a gateway (GW) function and a radio wave monitoring function. For example, the GW function of base station #1 may support both the Wi-SUN scheme and the LoRa scheme. The Wi-SUN terminal #1, the LoRa terminal #1, and the LoRa terminal #2 may be wirelessly connected to the base station #1 to transmit and receive signals.

Group #2 includes devices that belong to NW#2 and are wired or wirelessly connected to NW#2. For example, group #2 includes base station #2, Wi-SUN terminal #2, LoRa terminal #3, and LoRa terminal #4. Group #2 includes control device #2 that centrally controls GW and the like via NW#2.

The base station #2 may have a GW function and a radio wave monitoring function. For example, the GW functionality of base station #2 may support both the Wi-SUN scheme and the LoRa scheme. Wi-SUN terminal #2, LoRa terminal #3, and LoRa terminal #4 may be wirelessly connected to base station #2 to transmit and receive signals.

Note that the number of devices in group #1 and group #2 in FIG. 1 is an example, and the present disclosure is not limited to this. For example, the number of base stations included in group #1 and group #2 in FIG. 1 may be two or more. The number of LPWA terminals included in group #1 and group #2 in FIG. 1 may be four or more, or may be two or less. Also, other devices may be connected to the NWs of each group.

Group #1 may also include a relay station that relays wireless communication between base station #1 and any one of the terminals. Group #2 may also include similar relay stations.

Group #3 is a radio system different from the radio system (LPWA system) of group #1. Radio systems in group #3 are radio systems in unmanaged networks that are not managed by group #1. The radio system of group #3 is, for example, RFID. Group #3 includes RFID reader/writers, RFID tags, and the like. Note that the radio systems of group #3 may include an LTE (Long Term Evolution) system, a radar system, and the like.

Note that the network configuration and/or device configuration shown in FIG. 1 is an example, and the present disclosure is not limited to this.

For example, FIG. 1 shows an example in which the LoRa terminal and the Wi-SUN terminal are separate terminals, but the terminal may be operable based on both the LoRa system and the Wi-SUN system.

Further, in the above, the base station #1 and the base station #2 show an example having a GW that supports both the Wi-SUN method and the LoRa method. A supporting GW may be another device. Also, a device that performs radio wave monitoring may be a device separate from the base station.

Further, for example, two or more of the Wi-SUN gateway, the LoRa gateway, the radio wave monitoring device, and the control device may be integrated.

Also, each network shown in FIG. 1 may include devices other than those shown in FIG. In that case, the separate device may have some or all of the functions of the device shown in FIG. For example, if a relay station is provided between the base station and the Wi-SUN terminal and/or LoRa terminal, the relay station may have the function of the radio wave monitoring device. Also, the relay station may have the function of a Wi-SUN gateway and/or the LoRa gateway and the function of a radio wave monitoring device. Alternatively, the relay station may have the radio wave monitoring device function and not have the Wi-SUN gateway and/or LoRa gateway function.

Each wireless device in groups #1 to #3 uses a common system band (eg, unlicensed band). Therefore, each wireless device included in groups #1 to #3 receives interference from other wireless devices. An example of interference received by wireless devices included in group #1 will be described.

For example, a signal transmitted or received by a wireless device (eg, LoRa terminal #2) included in group #1 causes interference in another wireless device (eg, LoRa terminal #1) included in group #1. . In the following description, interference received by a wireless device belonging to NW#1 from another wireless device belonging to NW#1 may be referred to as "interference within management". For example, in-management interference corresponds to interference received by a wireless device that supports communication of the LPWA system and belongs to NW#1 from another wireless device that supports communication of the LPWA system and belongs to NW#1.

Further, a terminal (eg, LoRa terminal #2) belonging to the same NW as a certain base station (eg, base station #1) and a certain terminal (eg, LoRa terminal #1) Terminals may be described as "managed terminals". An in-management terminal may be a terminal that may transmit a signal that causes in-management interference. In addition, the LoRa terminal and the Wi-SUN terminal, which are terminals within management, may be described as "under management LoRa terminal" and "under management Wi-SUN terminal", respectively.

Also, for example, a signal transmitted or received by a wireless device included in group #2 and/or group #3 (for example, LoRa terminal #3 and/or RFID reader/writer) is transmitted or received by a wireless device included in group #1. (For example, LoRa terminal #1) causes interference. In the following, interference received by a wireless device belonging to NW#1 from a wireless device not belonging to NW#1 may be referred to as "unmanaged interference". For example, unmanaged interference corresponds to interference received by a wireless device that supports communication in the LPWA system and belongs to NW#1 from a wireless device that does not belong to NW#1.

Also, a terminal (eg, LoRa terminal #3) belonging to a different NW from a certain base station (eg, base station #1) and a certain terminal (eg, LoRa terminal #1) is connected to a certain base station and a certain terminal. may be described as "unmanaged terminal". An unmanaged terminal may be a terminal that may transmit a signal that causes unmanaged interference. Also, the LoRa terminal and Wi-SUN terminal, which are unmanaged terminals, may be described as "unmanaged LoRa terminal" and "unmanaged Wi-SUN terminal", respectively.

Unmanaged interference may be further classified based on the source of the interference.

For example, a signal transmitted or received by a radio device (eg, LoRa terminal #3) included in group #2 causes interference in a radio device (eg, LoRa terminal #1) included in group #1. Hereinafter, the interference received by the wireless device belonging to NW#1 from the wireless device belonging to NW#2 may be described as "radio wave interference" in "unmanaged interference". For example, "radio wave interference" corresponds to interference received by a wireless device that supports communication of the LPWA system and belongs to NW#1 from a wireless device that supports communication of the LPWA system and belongs to NW#2, which is different from NW#1. do.

Also, for example, a signal transmitted or received by a wireless device (eg, RFID reader/writer) included in group #3 causes interference in a wireless device included in group #1 (eg, LoRa terminal #1). . Below, the interference received by a wireless device that supports communication of the LPWA system and belongs to NW#1 from a wireless device that supports a wireless system different from the LPWA system is described as "environmental noise" in "unmanaged interference". may be

As shown by way of example in FIG. 1, an LPWA system uses a common system band with radio systems that are different from the LPWA system and/or with the same LPWA system belonging to different networks. Therefore, in the LPWA system, it is desired to detect (monitor) interference and use the detected results to improve efficiency (e.g., frequency utilization efficiency) and / or communication quality (communication characteristics) in the LPWA system.

In a wireless system including LPWA, a base station allocates a channel to a terminal (terminal within management) under the control of the base station, and the terminal within management uses the LoRa method and/or the Wi-SUN method in the assigned channel. Send a signal. In the channel assigned to the managed terminal, the managed terminal and/or the unmanaged terminal, which are different from the managed terminal, transmit signals, which may cause interference and degrade communication characteristics.

Therefore, for example, the base station classifies the interference that occurs in each channel and allocates channels to terminals under management based on the classification results, thereby performing appropriate channel allocation and suppressing degradation of communication characteristics. is being considered.

However, for example, when an interference component that is managed interference is classified as unmanaged interference, there is a possibility that an appropriate channel cannot be allocated to a managed terminal.

Therefore, in a non-limiting embodiment of the present disclosure, by correcting (compensating) for errors in interference classification, a base station capable of realizing appropriate channel allocation to terminals within management and improving communication characteristics and the control method will be explained.

The radio communication system according to the present embodiment includes base station 100 shown in FIG. 2 and terminals under control of base station 100 . The base station 100 and terminals are included in, for example, an LPWA radio communication system. For example, the base station 100 supports both the LoRa system and the Wi-SUN system.

<Configuration of base station>
FIG. 2 is a block diagram showing a configuration example of base station 100 according to this embodiment. Base station 100 includes receiving section 101, communication quality measuring section 102, preamble detecting section 103, interference classification section 104, correcting section 105, demodulation/decoding section 106, allocation control section 107, and control signal generation. It comprises a section 108 , an encoding/modulation section 109 and a transmission section 110 . For example, communication quality measurement unit 102, preamble detection unit 103, interference classification unit 104, correction unit 105, demodulation/decoding unit 106, allocation control unit 107, control signal generation unit 108, encoding/modulation A part or all of the unit 109 may be collectively referred to as a "control unit".

Receiving section 101 receives a signal transmitted by a terminal and performs predetermined reception processing on the received signal. For example, the predetermined reception processing includes frequency conversion processing (down-conversion) based on the frequency of the channel assigned to the terminal. Information on the frequency of the channel assigned to the terminal may be obtained from assignment control section 107, for example.

Also, the receiving unit 101 receives signals in each usable channel (for example, each channel included in an unlicensed band) for interference measurement (radio wave monitoring). Then, the receiving section 101 performs predetermined reception processing on the received signal. Predetermined reception processing includes, for example, frequency conversion processing based on the frequency of each channel.

Receiving section 101 outputs a received signal that has undergone predetermined reception processing to communication quality measuring section 102 , preamble detecting section 103 and demodulating/decoding section 106 .

Demodulation/decoding section 106 performs demodulation processing and decoding processing on the reception signal to generate reception data. For example, when the received signal is a LoRa signal, demodulation/decoding section 106 performs despreading processing on the LoRa signal. Demodulation/decoding section 106 outputs the received data to allocation control section 107 . Note that the received data may include an identifier that identifies a terminal belonging to the same NW (Network) as the base station 100 .

Communication quality measuring section 102 generates communication quality information based on the received signal obtained from receiving section 101 . The communication quality information may include, for example, received signal quality (eg, Received Signal Strength Indicator (RSSI)). Also, the communication quality information may include the error detection result of the received signal. Communication quality measurement section 102 outputs communication quality information to allocation control section 107 . The error detection result of the received signal may be obtained by demodulation processing or decoding processing in demodulation/decoding section 106 .

Preamble detection section 103 detects whether or not the received signal obtained from reception section 101 contains a preamble. Also, when a preamble is included, preamble detection section 103 determines the type of preamble included in the received signal.

For example, preamble detection section 103 calculates the correlation between the preamble used in the LoRa system and the received signal. Preamble detection section 103 determines that a preamble used in the LoRa system is included in the received signal when a peak equal to or greater than a predetermined value occurs in the calculated correlation result. When the received signal includes a preamble used in the LoRa system, it is determined that the received signal is the LoRa signal and the source of the received signal is the LoRa terminal.

As in the example of the LoRa system, preamble detection section 103 calculates the correlation between the preamble used in the Wi-SUN system and the received signal. Preamble detection section 103 determines that a preamble used in the Wi-SUN system is included in the received signal when the calculated correlation has a peak equal to or greater than a predetermined value. If the received signal contains a preamble used in the Wi-SUN system, it is determined that the received signal is the Wi-SUN signal and the source of the received signal is the Wi-SUN terminal.

Preamble detection section 103 detects a preamble regardless of whether the source of the received signal is included in the NW to which base station 100 belongs. In other words, the preamble detector 103 may determine the type of preamble included in the signals transmitted by the LoRa terminals and Wi-SUN terminals that are not included in the NW to which the base station 100 belongs.

In addition, preamble detection section 103 detects whether the result of correlation between the preamble used in the LoRa system and the received signal and the result of correlation between the preamble used in the Wi-SUN system and the received signal are equal to or greater than a predetermined value. If no peak occurs, it is determined that the source of the received signal is neither the LoRa terminal nor the Wi-SUN terminal.

Preamble detection section 103 outputs information indicating whether or not a preamble is included in the received signal, and information indicating the type of preamble if the preamble is included in the received signal, to interference classification section 104. do. Preamble detection section 103 also outputs the received signal acquired from reception section 101 to interference classification section 104 .

The interference classification unit 104 classifies interference in each channel, for example. For example, the interference classification unit 104 monitors and classifies the received signal for a predetermined time in one channel. For example, the interference classifier 104 may discriminate between the transmission sources of received signals within a predetermined period of time. Interference classification section 104 calculates the ratio of the time of the received signal for each transmission source to a predetermined time, and classifies the interference in each channel. For example, the interference classifier 104 may classify the source of the signal that causes dominant interference in the interference of each channel. Here, the dominant interference in each channel may correspond to, for example, the fact that, as a result of monitoring received signals for a predetermined period of time, the proportion of time in the predetermined period of time is equal to or greater than a predetermined proportion.

Interference classification section 104 outputs the interference classification result in each channel to correction section 105 .

Correction section 105 corrects the interference classification result in each channel. For example, the correcting unit 105 corrects the interference classification result based on the information about the success or failure of the communication of the source of the signal that caused the interference. Alternatively, the correction unit 105 performs correction based on past interference classification results. Correction section 105 may perform correction based on information (for example, data amount and/or packet information such as reception intervals) regarding received signals obtained from allocation control section 107 . A correction method will be described later. Correction section 105 outputs the corrected interference classification result to allocation control section 107 .

Allocation control section 107 determines a channel to be allocated to a terminal based on communication quality information (for example, information indicating received power such as RSSI) acquired from communication quality measuring section 102 . Allocation control section 107 may determine the channel to be allocated to the terminal based on the communication quality information and the interference classification result obtained from correction section 105 .

Allocation control section 107 outputs information on the channel allocated to the terminal (channel allocation information) to control signal generating section 108 .

Allocation control section 107 also controls data communication with terminals. For example, the received data obtained from demodulation/decoding section 106 may be output to a higher station (not shown) or another device (eg, control device (see FIG. 1)) in the network. Allocation control section 107 also outputs to encoding/modulating section 109 transmission data addressed to the terminal, which is obtained from a higher station or another device in the network. The transmission data addressed to the terminal may include an identifier indicating the destination.

Control signal generation section 108 generates a control signal addressed to the terminal based on the channel allocation information acquired from allocation control section 107 . Control signal generation section 108 outputs a control signal that has undergone predetermined signal processing (eg, encoding processing and modulation processing) to transmission section 110 .

Encoding/modulation section 109 performs encoding processing and modulation processing on the transmission data acquired from allocation control section 107 to generate a transmission signal. Encoding/modulation section 109 outputs the transmission signal to transmission section 110 . Note that when the terminal to which the transmission signal is transmitted is a LoRa terminal, the modulation processing may include spread spectrum processing used in the LoRa system.

Transmission section 110 performs predetermined transmission processing on the transmission signal obtained from encoding/modulation section 109 . For example, the predetermined transmission processing includes frequency conversion processing (up-conversion) based on the frequency of the channel assigned to the terminal. Information on the frequency of the channel allocated to the terminal may be obtained from allocation control section 107, for example.

Further, the transmission section 110 performs predetermined transmission processing on the control signal acquired from the control signal generation section 108 . For example, the predetermined transmission processing includes frequency conversion processing (up-conversion) based on the frequency of the channel for transmitting control signals to the terminal. The channel for transmitting the control signal to the terminal may be, for example, a predetermined channel or a channel currently used for communication with the terminal.

In the above description, an example in which the configuration illustrated in FIG. 2 is included in one base station 100 has been described. The present disclosure is not limited to this. For example, any of two or more devices may include each of the configurations shown in FIG.

Also, in the above description, an example in which the base station 100 shown in FIG. 2 is included in the LPWA system has been described, but the base station 100 of the present disclosure may support a communication scheme different from the LPWA communication scheme. For example, the base station 100 may support the Wi-Fi communication method instead of the LPWA communication method, or may support both the LPWA and Wi-Fi communication methods.

<Example of classification processing>
Next, an example of classification processing in the interference classification unit 104 will be described. Classification processing for classifying signals (interference) received by the receiving unit 101 into managed interference and unmanaged interference will be described.

<Example of classifying processing into managed interference and unmanaged interference>
FIG. 3 is a diagram illustrating an example of classification processing into managed interference and unmanaged interference. The horizontal axis in FIG. 3 indicates the time axis. FIG. 3 shows the signal level of the received signal, the detection result of interference with the received signal, the detection result of the terminal identifier (terminal ID), and the determination result in a predetermined monitoring interval.

The detection result of interference with the received signal corresponds to, for example, the detection result by preamble detection. Based on this result, the LoRa signal included in the received signal is determined.

In the detection result of the identifier of the terminal (terminal ID), if the identifier is obtained by demodulation/decoding processing on the received signal, the terminal ID indicates "OK". When the terminal ID indicates "OK", it is determined that the NW to which the transmission source of the received signal belongs is the same NW as the base station 100. In other words, as indicated by the determination result, the received signal is determined to correspond to interference within management.

In the detection result of the identifier of the terminal (terminal ID), if the identifier cannot be obtained by the demodulation/decoding process for the received signal, the terminal ID indicates "NG". When the terminal ID indicates “NG”, it is determined that the NW to which the transmission source of the received signal belongs is different from the base station 100 . In other words, as indicated by the determination result, it is determined that the received signal corresponds to unmanaged interference.

Through the above classification processing, the received signal is classified as to whether it corresponds to managed interference or to unmanaged interference.

For example, in the above classification, if the received signal is demodulated and decoded without error and the terminal ID cannot be detected, it is determined that the received signal does not correspond to managed interference and corresponds to unmanaged interference. . As a result, interference components that are originally managed interference may be determined to be unmanaged interference, and correct classification results may not be obtained.

FIG. 4A is a diagram showing an example of an error in interference classification. FIG. 4B is a diagram illustrating an example of channel allocation according to the classification error shown in FIG. 4A. The horizontal axis in FIGS. 4A and 4B indicates frequency (channel), and the vertical axis indicates transmission probability (or channel occupancy).

FIG. 4A shows an example of interference measured and classified in four channels ch#1 to ch#4. For example, ch#3 and ch#4 are channels in which an unmanaged interference component exists and an in-managed interference component does not exist. ch#1 and ch#2 are channels in which a component of interference within management exists and no interference outside of management exists. However, part of the components of the managed interference of ch#1 and ch#2 is the managed interference caused by the reception signal that the base station 100 failed to receive (communication NG interference within management).

In ch#1 and ch#2 shown in FIG. 4A, the base station 100 determines that "internal interference of communication NG" is unmanaged interference. In this case, base station 100 determines that there is more unmanaged interference than actual unmanaged interference on ch#1 and ch#2.

FIG. 4B shows an example of channel assignment to terminals within management after determining that “interference within management of communication NG” in FIG. 4A is interference without management.

Since it is determined that more unmanaged interference exists in ch#1 and ch#2 in FIG. Assigned to ch#3 and ch#4. As a result, the transmission probabilities are not balanced among the channels, resulting in inappropriate channel allocation.

For example, the correction unit 105 of the base station 100 in the present embodiment corrects the difference caused by the component of managed interference as illustrated in FIG. improve the accuracy of

Although the method of classifying the managed interference and the unmanaged interference is not particularly limited, for example, a channel occupancy rate may be used to classify the managed interference and the unmanaged interference in a certain channel. Hereinafter, the channel occupancy rate corresponding to managed interference may be described as "managed channel occupancy rate", and the channel occupancy rate corresponding to unmanaged interference may be described as "unmanaged channel occupancy rate". Channel occupancy represents the amount of interference, although the disclosure is not so limited. The amount of interference may be represented by other parameters.

Interference classification in channel #m to which N terminals under management, ie, terminal under management #1 to terminal #N under management, are allocated will be described below as an example. Note that channel #m represents, for example, a channel whose identifier for identifying the channel is m, where m is an integer of 0 or more. An under-management terminal #i (i is an integer of 1 or more and N or less) represents an under-management terminal whose identifier for identifying the under-management terminal is i, where N is an integer of 1 or more.

For example, the unmanaged channel occupancy COR _out for a certain channel #m is obtained by combining the total channel occupancy COR _total and the managed channel occupancy COR _in for a certain channel #m, as shown in equation (1). determined using

The managed channel occupancy COR _in is represented by the sum of channel occupancies of the managed terminals assigned to channel #m. The channel occupancy cor(i) of the terminal #i within management may be expressed by Equation (2), for example.
cor(i)=(number of packets successfully communicated)×(time length of packets)/observation time (2)

The "number of packets successfully communicated" in equation (2) indicates the number of packets transmitted by the terminal #i under management and successfully received by the base station 100, and the "time length of packets" indicates the number of packets received by the base station 100. Indicates the duration of successful packets. Cor(i) shown in Equation (2) is an example of the channel occupancy rate of terminal #i under management calculated by base station 100 .

Since cor(i) shown in Equation (2) is a value based on the number of packets successfully received by base station 100, it is the number of packets transmitted by terminal #i under management but failed to be received by base station 100. is not considered. In this case, as exemplified in FIG. 4A, the channel occupancy rate based on the packet transmitted by the managed terminal #i but failed to be received by the base station 100 is classified as the unmanaged channel occupancy rate. It's gone.

Therefore, in the present embodiment, a method of appropriately classifying interference into managed interference and unmanaged interference by correcting the channel occupancy rate based on packets transmitted by terminals within management and failed to be received by base station 100. explain.

For example, the first correction method is a method using information regarding the success or failure of packet communication. The information regarding the success or failure of packet communication is, for example, the communication success rate. The communication success rate of the managed terminal #i is the total number of packets transmitted by the managed terminal #i and the number of packets transmitted by the managed terminal #i and successfully received by the base station 100 within a certain period of time. and the ratio.

The communication success rate of the managed terminal #i is, for example, the channel occupancy rate of the managed terminal #i and the strength of the signal transmitted by the managed terminal #i and received by the base station 100 (for example, received signal strength indicator ( RSSI)). For example, the communication success rate may be represented by a variable with channel occupancy and RSSI as parameters.

FIG. 5 is a diagram showing an example of a communication success rate. The horizontal axis of FIG. 5 indicates the channel occupancy rate, and the vertical axis indicates the communication success rate. FIG. 5 shows the communication success rate with respect to the channel occupancy rate for three different RSSIs, x [dB], y [dB], and z [dB]. Note that the channel occupancy on the horizontal axis in FIG. 5 corresponds to, for example, the channel occupancy (channel occupancy before correction) expressed by Equation (2).

For example, if the RSSI is x [dB] and the channel occupation rate is 0.6, the communication success rate is 0.2.

For example, the communication success rate of the managed terminal #i is expressed as p(i), and the number of packets transmitted by the managed terminal #i and successfully received by the base station 100 (that is, the number of communication-successful packets) is x. , the total number of packets transmitted by terminal #i under management is estimated to be x/p(i).

Therefore, in the first correction method of the present embodiment, the reciprocal of the communication success rate is set as the correction coefficient, and correction is performed by multiplying the managed channel occupancy rate by the correction coefficient. For example, the correction coefficient k(i) of the managed terminal #i is expressed as k(i)=1/p(i).

k(i) is determined for each of the N managed terminals. Since the communication success rate p(i) is a value of 0 or more and 1 or less, k(i) is a real number of 1 or more. Also, the higher the communication success rate (the larger p(i)), the larger the value of k(i). For example, if the communication success rate p(i) is 1, that is, if there is no packet that fails to be received among the packets transmitted by the managed terminal #i, k(i) is 1. Further, when the communication success rate p(i) is 0.5, k(i) is 2 if half of the number of packets transmitted by the managed terminal #i are packets that fail to be received. is.

Then, using the measured channel occupancy cor(i) of in-management terminal #i and the correction coefficient k(i), the corrected channel occupancy COR _{in_aft} corresponding to in-management interference is obtained by the following equation (3 ).

The corrected channel occupancy COR _{out_aft} corresponding to the unmanaged interference after correction in a certain channel #m is _obtained by the formula ( It is derived by subtracting the corrected channel occupancy COR _{in_aft} corresponding to the in-management interference obtained by 3).

As described above, in the first correction method, by correcting the channel occupancy rate based on the packet transmitted by the terminal under management but failed to be received by the base station 100 based on the communication success rate of the terminal under management, , it is possible to avoid a situation in which the unmanaged interference becomes larger than it actually is, and to appropriately classify the managed interference and the unmanaged interference.

Here, instead of the number of successful communication packets, the number of terminal identifiers (terminal IDs) detected and/or the number of preambles detected may be used.

Also, although the communication success rate is represented by variables using the channel occupancy rate and RSSI as parameters, other parameters may be used. For example, in a multipath environment, the communication success rate may use the magnitude of delay dispersion as a parameter.

Next, a processing flow in base station 100 to which the first correction method is applied will be described. FIG. 6 is a flow chart showing a first example of the processing flow of base station 100 in the present embodiment. Note that the classification of interference in channel #m will be described below as an example. Also, as an example, terminals under management #1 to #N are assigned to channel #m.

The base station 100 measures the amount of interference (total channel occupancy) of channel #m (S101). In addition, in the process of S101, the interference amount of a channel different from channel #m may be measured. In the process of S101, the amount of interference for each channel that the base station 100 can use may be measured. In this case, the base station 100 may perform the processing from S102 onward for each available channel.

Base station 100 receives from each of terminals #1 to #N within management, and based on the number of packets for which reception processing has succeeded and the length of the packets, the channel occupancy rate of interference within management (channel occupancy rate within management) is calculated (S102).

Base station 100 classifies interference on channel #m into managed interference and unmanaged interference based on the total channel occupancy measured in S101 and the managed channel occupancy calculated in S102 (S103). .

The base station 100 corrects the channel occupancy rate of interference within management calculated in S102 (S104).

The base station 100 corrects the classification result obtained in S103 using the channel occupancy rate of interference within management corrected in S104 (S105). Then, the flow shown in FIG. 6 ends.

As described above, in the first correction method, the base station 100 corrects based on the communication success rate of the terminal under management, thereby causing interference based on the received signal transmitted by the terminal under management and which the base station 100 failed to receive. Interference classification considering components can be performed. As a result, for example, it is possible to avoid a situation in which unmanaged interference in a certain channel becomes larger than it actually is, and when the base station 100 allocates a channel to each managed terminal, appropriate channel allocation can be performed. Communication characteristics between the base station 100 and terminals under management can be improved.

In the above description, the first correction method for correcting the classification of managed interference and unmanaged interference by correcting the channel occupancy rate of managed interference based on the communication success rate has been described.

Next, a second correction method different from the first correction method will be described. In the second correction method, the channel occupancy rate of each managed terminal held by the base station 100 or the control server connected to the base station 100 is (channel occupancy information) is used.

The channel occupancy information of each terminal under management held by the control server corresponds to the interference under management estimated at an observation time before observation time T in order to correct the result measured at observation time T, for example. It may be channel occupancy.

A condition (selection condition) for selecting the above two methods may be set. Then, when the selection condition is satisfied, the second correction method using the channel occupancy information held by the control server may be applied, and when the selection condition is not satisfied, the first correction method may be applied.

For example, the selection condition is a condition for determining whether past channel occupancy information held by the control server may be used. For example, the selection conditions are that the amount of data contained in one packet is a constant value, and that the packet reception interval is constant.

That is, when the amount of data included in one packet is a constant value and the packet reception interval is a constant interval, the second correction method is applied; otherwise, the first correction method is applied. You can

A constant amount of data included in one packet may correspond to receiving a packet having a constant amount of data a predetermined number of times or more. The fact that the packet reception interval is a constant interval corresponds to the fact that among the packet reception intervals received at the observation time T−t before the observation time T, the number of reception intervals that are less than a predetermined value is equal to or greater than a predetermined number. You can

In other words, when the amount of data included in one packet is not constant, for example, when the difference in the amount of data among a plurality of packets is larger than a predetermined amount and the variation in the amount of data between packets is large, the past Using channel occupancy is not appropriate.

Next, processing of the base station 100 when switching between the first correction method and the second correction method will be described.

FIG. 7 is a flow chart showing a second example of the processing flow of base station 100 in this embodiment. In addition, in FIG. 7, the same reference numerals are given to the same processing as in FIG. 6, and the explanation may be omitted.

After classifying the interference in S103, the base station 100 determines whether or not the data amount per packet of the packets received at the observation time before the observation time T is constant (S201). The fact that the amount of data in packets received by the base station 100 is constant corresponds to the amount of data (amount of transmission data) in packets transmitted by terminals under management being constant. For example, when the absolute value of the difference (for example, standard deviation) between the average data amount of a plurality of received packets and the data amount of each packet is less than or equal to a predetermined value, it can be said that the data amount per packet is constant. may be judged. Alternatively, it may be determined that the amount of data per packet is constant when the amounts of data in a plurality of received packets are within a predetermined range. Note that the data amount may be represented by, for example, the length of the signal, or may be represented by the number of bits of the data after decoding.

If the amount of data per packet is constant (YES at S201), base station 100 determines whether or not the packet reception interval is constant (S202). A constant reception interval in the base station 100 corresponds to a constant transmission interval (transmission cycle) of the terminal under management. For example, when the absolute value of the difference (for example, standard deviation) between the average reception interval of a plurality of packets received and each reception interval is equal to or less than a predetermined interval, it may be determined that the reception interval is a constant interval. Alternatively, if the length of the reception interval (length of time) of a plurality of received packets is within a predetermined range, it may be determined that the reception interval is a constant interval.

If the reception interval is a constant interval (YES in S202), base station 100 applies the second correction method (S203).

If the amount of data per packet is not constant (NO at S201), or if the packet reception interval is not constant (NO at S202), base station 100 applies the first correction method ( S204).

The base station 100 corrects the interference classification result based on the applied correction method (S205). Then, the flow shown in FIG. 7 ends.

As described above, by switching between the first correction method and the second correction method, when the amount of transmission data and the transmission cycle of the terminal under management are constant, the previously estimated channel occupancy rate Information can be used when it is available, and packet error rate information can be used when the amount of transmission data or the transmission cycle of a terminal within management is not constant. Therefore, errors in interference classification can be suppressed regardless of the propagation environment, transmission data amount, and transmission cycle. As a result, for example, it is possible to avoid a situation in which unmanaged interference in a certain channel becomes larger than it actually is, and when the base station 100 allocates a channel to each managed terminal, appropriate channel allocation can be performed. Communication characteristics between the base station 100 and terminals under management can be improved.

Note that when switching the correction method described above, the switching of the correction method may be determined independently for each managed terminal. Next, a processing flow for independently determining switching of the correction method for each managed terminal will be described.

FIG. 8 is a flowchart showing a third example of the processing flow of base station 100 in this embodiment. In addition, in FIG. 8, the same reference numerals are assigned to the same processes as those in FIGS. 6 and 7, and description thereof may be omitted.

The base station 100 initializes the terminal ID (S301). For example, the base station 100 assigns N terminal IDs #1 to #N to N terminals under management assigned to channel #m, and initializes an index i indicating the terminal ID to 1. FIG.

The base station 100 determines whether i is greater than N (S302).

If i is not greater than N (NO in S302), base station 100 determines whether or not the amount of data per packet received from managed terminal #i is constant (S303).

If the amount of data per packet is constant (YES in S303), base station 100 determines whether or not the reception interval of packets received from managed terminal #i is a constant interval (S304).

If the reception interval is a constant interval (YES in S304), base station 100 applies the second correction method to correct in-management interference by in-management terminal #i (S305).

If the amount of data per packet is not constant (NO in S303) or if the packet reception interval is not constant (NO in S304), base station 100 causes in-management interference by in-management terminal #1. (S306).

The base station 100 adds 1 to i (S307). Then, the process of S302 is executed.

If i is greater than N (YES in S302), that is, if base station 100 has finished selecting a correction method for each of the terminals under management allocated to channel #m, then based on the correction method of each selection result to correct the interference classification result (S308). Then, the flow shown in FIG. 8 ends.

As described above, by the processing shown in FIG. 8, the base station 100 can select a correction method suitable for each terminal under management, and therefore can correct the classification results more appropriately.

Note that, for example, a fixed correction method may be applied to a specific terminal among managed terminals. For example, a specific terminal is a terminal whose communication quality is more stable over a long period of time than other terminals within management. Specific terminals include, for example, terminals that are located near the base station, terminals that are located near the base station with few obstructions, and terminals that have a longer transmission cycle than other terminals. may be Alternatively, the specific terminal may be a terminal that regularly performs communication with a small amount of data to be transmitted. For example, terminals installed in electricity and gas meters that transmit data on the amount of electricity and gas used, terminals used to watch over the elderly, and notifications of which parking spaces are available in parking lots. A terminal that does not need to notify image information, such as a terminal that is used for image processing, may be applied. For example, whether or not a certain managed terminal is a specific terminal is determined in advance based on the type of data transmitted by the managed terminal, the purpose of the managed terminal, the installation location of the managed terminal, etc. may be Alternatively, whether or not a certain managed terminal is a specific terminal depends on information notified from the managed terminal (distance information between the base station and the managed terminal, power attenuation or radio wave propagation such as multipath). information) may be dynamically determined by the base station 100 based on the information.

FIG. 9 is a flowchart showing a fourth example of the processing flow of base station 100 in this embodiment. In FIG. 9, processing similar to that in FIGS. 6 to 8 is assigned the same reference numerals, and description thereof may be omitted.

If i is not greater than N (NO in S302), base station 100 determines whether or not managed terminal #i is a specific terminal (S401). For example, the base station 100 makes this determination based on the terminal type information acquired from the terminal #i under management.

If terminal #i within management is a specific terminal (YES in S401), base station 100 applies the second correction method to correct interference within management by terminal #i within management (S305).

If managed terminal #i is not a specific terminal (NO in S401), base station 100 executes the process of S303.

Here, when the transmission cycle is long, it may take time to collect information necessary for selecting the correction method to be used from the first correction method and the second correction method. In such a case, the correction method to be used will be selected from the first correction method and the second correction method before sufficient information is collected, and it is conceivable that the optimum correction method cannot be selected. . In the above example, a fixed correction method is applied to a terminal within management corresponding to a specific terminal, so that even a terminal with a longer transmission cycle than other terminals can be optimally corrected. You can choose the method.

In the above description, an example in which the correction method to be used is determined independently for each managed terminal has been described, but the correction method to be used may be determined for each observation time period. Next, a processing flow when the correction method is switched for each observation time period will be described.

FIG. 10 is a flowchart showing a fifth example of the processing flow of base station 100 in this embodiment. In FIG. 10, processing similar to that in FIGS. 6 to 9 is denoted by the same reference numerals, and description thereof may be omitted.

After classifying the interference in S103, the base station 100 sets a correction time period for correcting the classified interference (S501). For example, the base station 100 divides the observation time period into a plurality of time periods, and sets one of the divided time periods as the correction time period.

The base station 100 determines whether or not the amount of data per received packet is constant in the set correction time period (S502). For example, when the absolute value of the difference (for example, standard deviation) between the average data amount of a plurality of received packets and the data amount of each packet is less than or equal to a predetermined value, it can be said that the data amount per packet is constant. may be judged. Alternatively, it may be determined that the amount of data per packet is constant when the amounts of data in a plurality of received packets are within a predetermined range.

If the amount of data per packet is constant (YES in S502), base station 100 determines whether or not the packet reception interval is constant in the set correction time period (S503). For example, when the absolute value of the difference (for example, standard deviation) between the average reception interval of a plurality of packets received and each reception interval is equal to or less than a predetermined interval, it may be determined that the reception interval is a constant interval. Alternatively, if the length of the reception interval (length of time) of a plurality of received packets is within a predetermined range, it may be determined that the reception interval is a constant interval.

If the reception interval is a constant interval (YES in S503), base station 100 applies the second correction method (S504).

If the amount of data per packet is not constant (NO at S502), or if the packet reception interval is not constant (NO at S503), base station 100 applies the first correction method ( S505).

Then, the base station 100 corrects the interference classification result according to the correction method applied for each time period (S506). Then, the flow shown in FIG. 10 ends.

As described above, with the processing shown in FIG. 10, the base station 100 can select a correction method suitable for each time period, and therefore can correct the classification results more appropriately.

It should be noted that, for example, a fixed correction method may be applied during a specific time period. For example, the specific time period is a time period in which each terminal does not transmit much information such as image information and/or a time period in which the amount of traffic is relatively low. Alternatively, as the specific time period, a time period from when each terminal starts communication until a predetermined period of time elapses may be applied. For example, the specific time slot may be determined in advance or dynamically determined by the base station 100 or the like. For example, a specific time period may be determined based on the type and amount of data transmitted and received for each time period.

FIG. 11 is a flow chart showing a sixth example of the processing flow of base station 100 according to the present embodiment. In FIG. 11, processing similar to that in FIGS. 6 to 10 is denoted by the same reference numerals, and description thereof may be omitted.

After setting the time period in S501, base station 100 determines whether or not the set time period is a specific time period (S601). For example, the base station 100 may refer to the communication history such as the amount of traffic for each time period in the past to make the determination.

If the time period is a specific time period (YES in S601), base station 100 applies the second correction method to correct the channel occupancy rate of interference within management in the specific time period (S504).

If the time period is not the specific time period (NO in S601), base station 100 executes the process of S502.

Here, immediately after the start of communication or the like, it may take time to collect information necessary for selecting the correction method to be used from the first correction method and the second correction method. In such a case, the correction method to be used will be selected from the first correction method and the second correction method before sufficient information is collected, and it is conceivable that the optimum correction method cannot be selected. . In the above example, by applying a fixed correction method in a specific time period, it is possible to select the optimum correction method even immediately after the start of communication.

In each of the examples described above, the communication method between the base station 100 and the terminal under management is not limited. Further, the correction method to be used may be determined from among the first correction method and the second correction method depending on the communication method between the base station 100 and the terminal under management.

In the following, as an example, when the communication method between the base station 100 and the managed terminal includes Wi-Fi and LPWA, the first correction method is always used in Wi-Fi, and the first correction method is used in LPWA. An example in which the correction method to be used is determined from among the first correction method and the second correction method will be described.

FIG. 12 is a flow chart showing a seventh example of the processing flow of base station 100 according to the present embodiment. In addition, in FIG. 12, the same reference numerals are assigned to the same processes as those in FIGS. 6 to 11, and description thereof may be omitted.

After classifying the interference in S103, the base station 100 determines whether or not the communication method used for communication with the terminal under management is Wi-Fi (S701).

If the communication method is Wi-Fi (YES at S701), base station 100 applies the first correction method (S204).

If the communication method is not Wi-Fi (NO in S701), the base station 100 executes the process of S201.

Next, as another example from the above example, when the communication method between the base station 100 and the terminal under management includes Wi-Fi and LPWA, the second correction method is always used in LPWA. , Wi-Fi, an example in which the correction method to be used is determined from among the first correction method and the second correction method will be described.

FIG. 13 is a flow chart showing an eighth example of the processing flow of base station 100 according to the present embodiment. In FIG. 13, processing similar to that in FIGS. 6 to 12 is assigned the same reference numerals, and description thereof may be omitted.

After classifying the interference in S103, the base station 100 determines whether or not the communication scheme used for communication with the terminal under management is LPWA (S801).

If the communication system is LPWA (YES at S801), base station 100 applies the second correction method (S203).

If the communication method is not LPWA (NO in S801), base station 100 executes the process of S201.

12 and 13 allows the base station 100 to select a correction method suitable for each communication system, so that the classification results can be corrected more appropriately.

In addition, since there are a plurality of types of communication methods in LPWA, even when the communication method is LPWA, from among the first correction method and the second correction method, depending on the type of LPWA communication method, A correction method to use may be determined. For example, the LoRa method and the Wi-SUN method may coexist as communication methods, but in general, it is conceivable that the amount of data communicated by the Wi-SUN method is larger than that of the LoRa method. Therefore, when the communication system is the LoRa system, the second correction method is always used, and when the communication system is the Wi-SUN system, the correction methods used are the first correction method and the second correction method. method.

Here, LPWA generally has a longer transmission cycle than Wi-Fi. In particular, the LoRa system has a longer transmission cycle than Wi-Fi. If a communication method with a long transmission cycle is used, it may take time to collect information necessary for selecting the correction method to be used from the first correction method and the second correction method. In such a case, the correction method to be used will be selected from the first correction method and the second correction method before sufficient information is collected, and it is conceivable that the optimum correction method cannot be selected. . In the above example, by applying a fixed correction method to a specific communication method, even when a communication method with a long transmission cycle is used, the optimum correction method can be selected. .

In addition, each example mentioned above may be combined. For example, the correction method may be set independently for each managed terminal and for each time period. Alternatively, the correction method may be independently set for each managed terminal according to the communication system.

As described above, in the present embodiment, when base station 100 classifies managed interference and unmanaged interference, based on the communication success rate of managed terminals that transmit signals caused by managed interference, to compensate for classified in-control interference. With this configuration, it is possible to improve communication characteristics by appropriately classifying interference and performing control (for example, channel allocation) in consideration of the classified interference.

In addition, although the communication method in the above-described embodiment is LPWA or Wi-Fi, the present disclosure is not limited to this.

Also, at least part of the configuration of base station 100 in the above-described embodiment may be included in a device different from base station 100 (for example, a control device that connects to a network to which base station 100 connects). Also, part or all of the processing of base station 100 in the above-described embodiments may be performed by a device different from base station 100 .

It should be noted that the notation of "... part" in the above embodiment may be "... circuit", "... device", "... unit", or "... module". Other notations may be substituted.

In addition, the notation of "channel" in the above embodiments may be "frequency", "frequency channel", "band", "band", "carrier", "subcarrier", or "(frequency) resource". may be replaced with the notation of

Also, the notation "correction" in the above embodiments may be replaced with other notation such as "compensation", "correction", "correction", "update", or "complement".

The present disclosure can be implemented in software, hardware, or software in conjunction with hardware.

Each functional block used in the description of the above embodiments is partially or wholly realized as an LSI, which is an integrated circuit, and each process described in the above embodiments is partially or wholly implemented as It may be controlled by one LSI or a combination of LSIs. An LSI may be composed of individual chips, or may be composed of one chip so as to include some or all of the functional blocks. The LSI may have data inputs and outputs. LSIs are also called ICs, system LSIs, super LSIs, and ultra LSIs depending on the degree of integration.

The method of circuit integration is not limited to LSI, and may be realized by a dedicated circuit, a general-purpose processor, or a dedicated processor. Also, an FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure the connections and settings of the circuit cells inside the LSI may be used. The present disclosure may be implemented as digital or analog processing.

Furthermore, if an integration technology that replaces the LSI appears due to advances in semiconductor technology or another technology derived from it, that technology may naturally be used to integrate the functional blocks. Application of biotechnology, etc. is possible.

The present disclosure can be implemented in any kind of apparatus, device, system (collectively communication equipment) with communication capabilities. Non-limiting examples of communication devices include telephones (mobile phones, smart phones, etc.), tablets, personal computers (PCs) (laptops, desktops, notebooks, etc.), cameras (digital still/video cameras, etc.). ), digital players (digital audio/video players, etc.), wearable devices (wearable cameras, smartwatches, tracking devices, etc.), game consoles, digital book readers, telehealth and telemedicine (remote health care/medicine prescription) devices, vehicles or mobile vehicles with communication capabilities (automobiles, planes, ships, etc.), and combinations of the various devices described above.

Communication equipment is not limited to portable or movable equipment, but any type of equipment, device or system that is non-portable or fixed, e.g. smart home devices (household appliances, lighting equipment, smart meters or measuring instruments, control panels, etc.), vending machines, and any other "Things" that can exist on the IoT (Internet of Things) network.

The communication includes data communication by a cellular system, a wireless LAN system, a communication satellite system, etc., as well as data communication by a combination of these systems.

Communication apparatus also includes devices such as controllers and sensors that are connected or coupled to communication devices that perform the communication functions described in this disclosure. Examples include controllers and sensors that generate control and data signals used by communication devices to perform the communication functions of the communication device.

Communication equipment also includes infrastructure equipment, such as base stations, access points, and any other equipment, device, or system that communicates with or controls the various equipment, not limited to those listed above. .

Various embodiments have been described above with reference to the drawings, but it goes without saying that the present disclosure is not limited to such examples. It is obvious that a person skilled in the art can conceive of various modifications or modifications within the scope described in the claims, and these also belong to the technical scope of the present disclosure. Understood. Also, the components in the above embodiments may be combined arbitrarily without departing from the gist of the disclosure.

Although specific examples of the present disclosure have been described in detail above, they are merely examples and do not limit the scope of the claims. The technology described in the claims includes various modifications and changes of the specific examples illustrated above.

The present disclosure is suitable for wireless communication systems.

100 base station 101 receiving unit 102 communication quality measuring unit 103 preamble detecting unit 104 interference classifying unit 105 correcting unit 106 demodulating/decoding unit 107 allocation control unit 108 control signal generating unit 109 encoding/modulating unit 110 transmitting unit

Claims (12)

A base station supporting a first radio system and belonging to a first network,
a measuring unit that measures a first interference amount based on a received signal received at a specific measurement time;
an estimation unit supporting the first wireless system and estimating a second amount of interference based on a received signal determined to have been transmitted by a first wireless device belonging to the first network;
a correction unit that corrects the second interference amount based on the communication success rate of the first radio device;
A determination unit that determines a third interference amount based on a signal transmitted by a second wireless device that does not belong to the first network from the first interference amount and the corrected second interference amount. When,
base station. The correction unit corrects the second interference amount using a first correction method,
The first correction method is a method of multiplying the second interference amount by a coefficient determined based on the communication success rate of the first wireless device.
A base station according to claim 1. The correction unit corrects the second interference amount using a second correction method when the determination condition is satisfied at the measurement time,
The second correction method adds a fourth interference amount corrected using the first correction method at a time before the measurement time to the second interference amount estimated by the estimation unit. is a way to replace
A base station according to claim 2. In each of the first wireless devices, the correction unit corrects the second interference amount using the first correction method, or corrects the second interference amount using the second correction method. Decide whether to correct the amount of interference,
A base station according to claim 3. wherein the correction unit corrects the second interference amount using a second correction method in the first wireless device that satisfies a specific condition;
A base station according to claim 4. The specific conditions are the condition that the amount of data contained in the signal received from the first radio device is within a certain range, and the length of the reception interval of the signal received from the first radio device. is within a specified range,
A base station according to claim 5 . The correction unit corrects the second interference amount using the first correction method at each of the plurality of measurement times, or corrects the second interference amount using the second correction method. determine whether to correct the amount of
A base station according to claim 3. The correction unit corrects the second interference amount using the second correction method at the measurement time that satisfies a specific condition.
A base station according to claim 7. The specific condition is that the amount of data included in the signal received during the measurement time is within a certain range, and the reception interval length of the signal received during the measurement time is within a predetermined range. The condition is that it is contained within
A base station according to claim 8. The correction unit corrects the second interference amount using the first correction method according to a communication scheme between the base station and the first radio apparatus, or determining whether to correct the second amount of interference using a correction method;
A base station according to claim 3. The determination condition is that the difference in the length of the signal transmitted by the first wireless device in the time before the measurement time is equal to or less than a first threshold, and in the time before the measurement time The difference between the reception intervals of the signals transmitted by the first radio device is less than or equal to a second threshold;
A base station according to claim 3. A base station supporting a first radio system and belonging to a first network,
measuring a first amount of interference based on the received signal received at a specific measurement time;
estimating a second amount of interference based on a received signal determined to have been transmitted by a first wireless device supporting the first wireless system and belonging to the first network;
correcting the second interference amount based on the communication success rate of the first wireless device;
Determining a third interference amount based on a signal transmitted by a second wireless device that does not belong to the first network from the first interference amount and the corrected second interference amount;
control method.

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