User equipment, 5g mobile communication system, and user equipment control method

Abstract

To suitably control the influence of cross-link interference.SOLUTION: User equipment is a user equipment of a 5G mobile communication system that includes a memory and a processor, performs beam sweeping using resource blocks allocated by a base station, obtains information based on the noise intensity of interference waves measured by adjacent user equipment as a result of performing the beam sweeping, and determines a beam to use on the basis of information regarding interfering beams.SELECTED DRAWING: Figure 7

Description

[Technical Field]

[0001] The present invention relates to a user device, a 5G mobile communication system, and a method for controlling a user device. [Background technology]

[0002] In a 5G mobile communication system, it has been known that a problem is to appropriately control the influence of interference between base stations and between user devices (hereinafter, sometimes referred to as cross-link interference (CLI)). Conventionally, a technique such as that described in Patent Document 1 has been known as a technique for measuring cross-link interference. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2023-052199 A Summary of the Invention [Problem to be solved by the invention]

[0004] Among crosslink interference, interference between user equipment (UEs) in particular varies significantly as the user equipment moves, resulting in significant variations in the characteristics of the interference. Therefore, there has been a problem in that it is not possible to effectively control the effects of interference. For example, to consider interference between UEs when selecting beams for UEs, it is necessary to know beams that may interfere with neighboring UEs. However, currently, there is no means for a UE to identify and feed back interfering beams and remove them from the list of beam selection candidates when performing beam sweeps.

[0005] The present invention has been made in consideration of these circumstances, and its purpose is to provide a user device, a 5G mobile communication system, and a method for controlling a user device that can suitably control the effects of crosslink interference. [Means for solving the problem]

[0006] (1) One aspect of the present invention is a user device for a 5G mobile communication system that includes a memory and a processor, and that performs a beam sweep using resource blocks allocated by a base station, obtains information based on the noise intensity of interference waves measured by adjacent user devices as a result of the beam sweep, and determines a beam to use based on information about the interfering beam. (2) Furthermore, one aspect of the present invention is that the user device of (1) described above acquires the index of the beam determined to be interfering based on the noise intensity of the interference wave measured by the adjacent user device as a result of the beam sweep, and determines the beam to be used, excluding the index of the beam determined to be interfering. (3) Furthermore, one aspect of the present invention is that the user device of (1) or (2) described above acquires information on the ratio of the interference wave to the desired wave of the interference wave measured by the adjacent user device as a result of performing the beam sweep, and determines the beam to be used based on the ratio of the interference wave to the desired wave. (4) Furthermore, one aspect of the present invention is that a user device of any of (1) to (3) described above acquires, as a result of the beam sweep, the index of a beam determined to be interfering and information regarding the ratio of the interference wave to the desired wave based on the noise intensity of the interference wave measured by adjacent user devices, and acquires information regarding the number of user devices adjacent to itself from the base station. If the number of user devices adjacent to itself is small, the user device determines the beam to be used based on the index of the beam determined to be interfering, and if the number of user devices adjacent to itself is large, the user device determines the beam to be used based on the ratio of the interference wave. (5) Furthermore, one aspect of the present invention is that a user device according to any one of (1) to (4) above acquires, from the adjacent user device via the base station, information based on the noise intensity of the interference wave measured by the adjacent user device as a result of the beam sweep. (6) Furthermore, one aspect of the present invention is that a user device according to any one of (1) to (5) above acquires information based on the noise intensity of the interference wave measured by the adjacent user device as a result of the beam sweep from the adjacent user device without going through a base station. (7) Another aspect of the present invention is a 5G mobile communication system comprising a user device having a memory and a processor, and a base station, wherein the base station schedules a beam sweep for the user device, the user device performs a beam sweep using resource blocks allocated by the base station, and as a result of the beam sweep, obtains information based on the noise intensity of interference waves measured by adjacent user devices, and determines a beam to use based on information about the interfering beam. (8) Furthermore, one aspect of the present invention is that in the 5G mobile communication system described in (7) above, the base station acquires information based on the noise strength of the interference wave measured by the adjacent user devices as a result of the user device performing the beam sweep from each of the adjacent user devices, and transmits the information based on the noise strength of the interference wave acquired from each of the adjacent user devices to the user device that performed the beam sweep. (9) Furthermore, one aspect of the present invention is that in the 5G mobile communication system described above in (7) or (8), the base station determines adjacent user equipment based on location information of the user equipment, and schedules the adjacent user equipment to measure the noise strength of interference waves. (10) Another aspect of the present invention is a method for controlling a user device in a 5G mobile communication system, the method comprising: performing a beam sweep using resource blocks allocated by a base station; acquiring information based on the noise intensity of interference waves measured by adjacent user devices as a result of the beam sweep; and determining a beam to be used based on information about the interfering beam. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide a user device, a 5G mobile communication system, and a user device that can suitably control the effects of crosslink interference. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram for explaining the configuration of a 5G mobile communication system according to a first embodiment and crosslink interference. [Figure 2] FIG. 1 is a functional configuration diagram showing the functional configuration of a 5G mobile communication system according to a first embodiment. [Figure 3] FIG. 1 is a sequence diagram showing processing for controlling the influence of crosslink interference during uplink in a 5G mobile communication system according to the first embodiment. [Figure 4] A sequence diagram showing processing for controlling the influence of crosslink interference during downlink in a 5G mobile communication system according to the first embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of beamforming of a user equipment according to the second embodiment. [Figure 6] FIG. 11 is a diagram showing the IDs of beams for which interference is measured as a result of beamforming of a user equipment according to the second embodiment. [Figure 7] FIG. 11 is a sequence diagram when a measurement result of an interference beam according to the second embodiment is shared from a base station to a user device. [Figure 8] FIG. 11 is a sequence diagram illustrating a case where a measurement result of an interference beam according to the second embodiment is shared between user devices. [Figure 9] FIG. 2 is a block diagram showing an example of the internal configuration of a base station according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Preferred embodiments of a user device, a 5G mobile communication system, and a user device according to aspects of the present invention are presented and described in detail below with reference to the accompanying drawings. Note that the aspects of the present invention are not limited to these embodiments and include various modifications or improvements. In other words, the components described below include those that can be easily imagined by a person skilled in the art or that are substantially identical, and the components described below can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the present invention. In addition, in the drawings below, the scale and number of each structure may differ from the scale and number of the actual structure to make each configuration easier to understand.

[0010] [First embodiment] First, the first embodiment will be described with reference to FIGS.

[0011] 1 is a diagram for explaining the configuration of a 5G mobile communication system according to the first embodiment and crosslink interference. With reference to the diagram, the configuration of the 5G mobile communication system will be first explained, and then crosslink interference occurring in the 5G mobile communication system will be explained.

[0012] A CU (Central Unit) controls multiple DUs under its control. In the example shown in the figure, the CU controls DU1, DU2, ..., DUX (X is an integer equal to or greater than 1). The CU also processes PDCP (Packet Data Convergence Protocol), which connects to the core network and encrypts packets, and RRC (Radio Resource Control), which manages radio resources for terminals.

[0013] The DU (Distributed Unit) performs signal modulation and demodulation, MAC layer communication control, etc. In the same figure, the subordinate configuration of DU1 and DU2 is shown, and the configuration of DU3 and onwards is omitted. DU1 controls RU1 to RU1n (n is an integer equal to or greater than 1), and DU2 controls RU2 to RU2m (m is an integer equal to or greater than 1).

[0014] The RU (Radio Unit) controls the antenna and communicates with the UE via radio waves. The RU also controls MIMO (Multiple-Input Multiple-Output) and beamforming. Of the multiple RUs shown in the figure, the configuration of the antenna elements equipped in the RU will be described with reference to RU1. As shown in the figure, each filled rectangle included in the configuration of RU1 represents an antenna. For example, RU1 is configured with MIMO vertically. y Pieces, M1 next to it x Each antenna independently emits a directional beam.

[0015] Hereinafter, in this embodiment, a configuration including at least a DU may be referred to as a base station. A base station may also be called a gNodeB (gNB), en-gNB, Next Generation-Radio Access Network (NG-RAN) node, eNB, low-power node, Central Unit (CU), Distributed Unit (DU), gNB-DU, Remote Radio Head (RRH), Integrated Access and Backhaul / Backhauling (IAB) node, etc. A base station is not limited to a single node, and may be configured with multiple nodes (for example, a combination of a lower node such as an RU or a DU and an upper node such as a CU).

[0016] A base station may be divided into a "slave station" with an antenna and RU, and a "master station" with a CU. The master station aggregates nearby slave stations and controls data transmission and reception. The DU may be located on the lower RU side or on the higher CU side.

[0017] UE (User Equipment) is a terminal device used by a user. Specific examples of UE include a smartphone, a tablet terminal device, a wearable device, and a Wi-Fi router. UE1 to UE6 are shown in the figure. For example, UE1 to UE3 are controlled by DU1, and UE4 to UE6 are controlled by DU2.

[0018] Here, an example of cross-link interference (CLI) will be described using communication between UE4 and DU2 as an example. UE4 transmits UL (UpLink) or uplink to DU2, and DU2 transmits DL (DownLink) or downlink to UE4. When UL is transmitted from UE4 to DU2, UE3 and UE5 existing near UE4 may be affected by the cross-link interference. The interference wave when UL is transmitted from UE4 to DU2 is illustrated as ULI. Furthermore, when DL is transmitted from DU2 to UE4, DU2 existing near DU1 may be affected by the cross-link interference. The interference wave when DL is transmitted from DU2 to UE4 is illustrated as DLI. In the following description, ULI and DLI may not be distinguished and may be referred to as cross-link interference or CLI.

[0019] 2 is a functional configuration diagram showing the functional configuration of a 5G mobile communication system according to the first embodiment. With reference to the same figure, an example of the functional configuration of a simplified 5G mobile communication system will be described. The functional configuration shown in FIG. 2 is a functional configuration that is a premise for the processing of FIGS. 3 and 4 described later.

[0020] The base station has a functional configuration of a CU, DU1 to DU3, and RU1 to RU3. The CU controls DU1 to DU3. DU1 controls RU1, DU2 controls RU3, and DU3 controls RU3. DU1 communicates with UE1 and UE2, DU2 communicates with UE3, and DU3 communicates with UE4.

[0021] According to this embodiment, for each UE, the interference power that neighboring UEs receive due to radio waves emitted by the UE is measured. The UE to be measured may be referred to as a specific UE or a first user equipment, and a UE existing near the specific UE may be referred to as a neighboring UE or a second user equipment. A DU that controls a specific UE may be referred to as a specific DU. A DU existing near a specific DU may be referred to as a neighboring DU. A neighboring DU can also be said to be a DU that communicates with a neighboring UE. In the example shown in the figure, if UE1 is a specific UE, UE2 to UE4 are neighboring UEs, DU1 is a specific DU, and DU2 and DU3 are neighboring DUs.

[0022] 3 is a sequence diagram showing a process for controlling the influence of crosslink interference during uplink in a 5G mobile communication system according to the first embodiment. With reference to the same figure, the process for controlling the influence of crosslink interference during uplink according to this embodiment will be described. Note that DU1, DU2, and UE1 to UE3 shown in the same figure correspond to the configuration shown in FIG. 2. In the same figure, DU3 and UE4 shown in FIG. 2 are omitted.

[0023] (Step S101) First, DU1, which is a specific DU, schedules the transmission of an SRS (Sounding Reference Signal) to UE1, which is a specific UE. Note that instead of scheduling the transmission of the SRS, DU1 may schedule the transmission of a specific radio wave different from the SRS. The specific radio wave is transmitted to DU1, and it is preferable that the interference power can be measured by neighboring UEs.

[0024] (Step S103) Next, the DU schedules neighboring UEs UE2 and UE3 to measure the power of the radio waves transmitted from UE1. In other words, the DU schedules neighboring UEs to measure the interference power of the SRS transmitted from UE1. Here, UE2, the first neighboring UE, is connected to DU1, which is a specific DU. Also, UE3, the second neighboring UE, is connected to DU2, which is not a specific DU (it is a neighboring DU). The scheduling of the power measurement is performed by the DU to which it is connected. In other words, the scheduling of the power measurement may be performed under the instruction of the CU. Specifically, the scheduling for UE2 is performed by DU1, and the scheduling for UE3 is performed by DU2.

[0025] Note that there may be multiple neighboring UEs, as in the illustrated example, or there may be a single neighboring UE, although this is not illustrated. Furthermore, the DU1 may determine whether a UE is a neighboring UE based on location information transmitted from the UE. A specific example of the location information may be information received from an artificial satellite such as a GPS (Global Positioning System). In this case, neighboring DUs connected to the neighboring UE may share the location information of the UE between the DUs. Furthermore, the determination of whether a DU is a neighboring DU may be performed by a CU that controls DU1, which is a specific DU.

[0026] (Step S105) Next, UE1, which is a specific UE, transmits a specific radio wave (for example, SRS) based on the scheduling from DU1.

[0027] (Step S107) Next, the neighboring UEs UE2 and UE3 measure the interference power. A specific radio wave (e.g., SRS) is originally a radio wave transmitted to DU1, but by measuring the radio wave intensity, the neighboring UEs can measure the degree of interference of the radio wave.

[0028] (Step S109) The measured interference power is fed back from each neighboring UE to the DU. Here, UE2, which is a first neighboring UE, is connected to DU1, which is a specific DU. Also, UE3, which is a second neighboring UE, is connected to DU2, which is not a specific DU (a neighboring DU). The interference power is fed back to the connected DU. Specifically, UE2 feeds back the interference power to DU1, and UE3 feeds back the interference power to DU2. In other words, the DU acquires the measurement results of the power measured by the neighboring UEs.

[0029] (Step S111) Next, the neighboring DU feeds back the acquired interference power to the specific DU. Specifically, DU2, which is a neighboring DU, feeds back the acquired interference power to DU1, which is a specific DU. In other words, the neighboring DUs share the measurement results of the power measured by the neighboring UE with the node (DU1, which is a specific DU) controlled by a common upper node (CU).

[0030] (Step S113) Next, the specific DU calculates the interference signal power from the interference power acquired in steps S109 and S111 based on the allocation result. The interference signal power may be the total interference signal power. Note that the interference signal power calculated by the specific DU does not need to be the total, and may be, for example, the interference signal arriving at each of the neighboring UEs.

[0031] (Step S115) Next, DU1, which is a specific DU, shares the calculated total interference signal power or the interference signals arriving at each of the neighboring DUs with the neighboring DUs.

[0032] (Step S117) DU2, which is a neighboring DU, acquires the total interference signal power calculated by the specific DU or the interference signal arriving at each neighboring UE. DU2 can also be said to acquire information regarding the power of interference signals arriving at neighboring DUs. DU2 performs scheduling based on the shared information.

[0033] 4 is a sequence diagram showing a process for controlling the influence of crosslink interference during downlink in a 5G mobile communication system according to the first embodiment. With reference to the same figure, the process for controlling the influence of crosslink interference during downlink according to this embodiment will be described. Note that DU1 and DU2 shown in the same figure correspond to the configuration shown in FIG. 2. In the same figure, DU3 and UE1 to UE4 shown in FIG. 2 are omitted.

[0034] DU1 and DU2 are controlled by a common upper node (CU). In the downlink, the DU that transmits radio waves is referred to as a specific DU, and the DU that receives interference power due to the radio wave transmission is referred to as an adjacent DU. In the following description, DU1, which is a specific DU, may be referred to as a first node, and DU2, which is an adjacent DU, may be referred to as a second node.

[0035] (Step S201) First, DU1, which is a specific DU, schedules measurement of a specific radio wave to DU2, which is an adjacent DU. Here, the specific radio wave may be CLI-RSSI. It is preferable that the CU indicates the scheduling priority of the DUs in advance.

[0036] (Step S203) Next, DU1 transmits a specific radio wave. Specifically, the transmission of the specific radio wave may be the transmission of a reference signal for a received signal strength indicator (RSSI). Note that, instead of transmitting the reference signal for RSSI, DU1 may transmit a specific radio wave that is different from the reference signal for RSSI. It is preferable that the specific radio wave be one whose interference power can be measured by adjacent DUs.

[0037] (Step S205) Next, DU2, which is an adjacent DU, measures the interference power when DU1 transmits a specific radio wave.

[0038] (Step S207) DU2 also feeds back the measured interference power to DU1.

[0039] (Step S209) Next, DU1 schedules RBs (Resource Blocks) and time slots, taking crosslink interference into consideration. DU1 also calculates interference signal power based on the interference power received from DU2. The interference signal power may be the total interference signal power. Note that the interference signal power calculated by DU1 does not need to be the total interference power, and may be, for example, interference signals arriving at each of the neighboring DUs. Note that, although there is one neighboring DU in the example shown in the figure, there may also be multiple neighboring DUs.

[0040] (Step S211) Next, DU1 shares the calculated total interference signal power or the interference signal arriving at each neighboring DU with the neighboring DUs. It can also be said that DU1 feeds back accurate interference signal power calculated from CLI based on the allocation result.

[0041] (Step S213) DU2, which is a neighboring DU, acquires the total interference signal power calculated by the specific DU or the interference signals arriving at each neighboring DU. DU2 can also be said to acquire information regarding the power of interference signals arriving at neighboring DUs. DU2 performs scheduling based on the shared information.

[0042] [Summary of the first embodiment] According to the above-described embodiment, the base station according to the present embodiment is a base station of a 5G mobile communication system including a memory and a processor, and schedules transmission of a specific radio wave to a first user device (UE) that is a UE included in the 5G mobile communication system, schedules measurement of the power transmitted by the first user device (UE) to a second user device (UE), acquires the measurement results of the power measured by the second user device, shares the measurement results of the power measured by the second user device with nodes controlled by a common upper node, and acquires information on the power of an interfering signal arriving at the second user device from the nodes that have shared the measurement results of the power measured by the second user device. By adopting such a configuration, according to the present embodiment, it is possible to effectively control the influence of crosslink interference occurring in the uplink.

[0043] Furthermore, according to the above-described embodiment, the base station according to this embodiment is a base station for a 5G mobile communication system equipped with a memory and a processor, and has a first node and a second node controlled by a common upper node, and schedules transmission of a specific radio wave from the first node to the second node, the first node transmits the specific radio wave, the second node measures interference power when the first node transmits the specific radio wave and transmits the measured interference power to the first node, the first node calculates the interference power based on the interference power received from the second node, and the second node performs scheduling based on the interference power calculated by the first node. By adopting such a configuration, according to this embodiment, it is possible to suitably control the influence of crosslink interference occurring in the downlink.

[0044] [Second embodiment] Next, a second embodiment will be described with reference to Figures 5 to 8. In the second embodiment, it is assumed that the user equipment performs beamforming.

[0045] 5 is a diagram illustrating an example of beamforming of user equipment according to the second embodiment. UE1 to UE3 are shown as examples of user equipment. UE1 transmits beams #1 to #12 for uplink transmission. Each beam has a predetermined directivity.

[0046] Here, in the positional relationship between UE1 and UE2, it can be said that interference occurs because beams #9 to #11 transmitted by UE1 are received by UE2. Also, in the positional relationship between UE1 and UE3, it can be said that interference occurs because beams #4 and #5 transmitted by UE1 are received by UE3.

[0047] FIG. 6 is a diagram showing the IDs of beams for which interference is measured as a result of beamforming of a user equipment according to the second embodiment. The IDs of the above-mentioned interfering beams are collectively shown in the figure. That is, beam #4 and beam #5 transmitted by UE1 interfere with UE2, and beams #9 to #11 interfere with UE3. According to this embodiment, the IDs of beams causing such interference are identified, and the identified beam IDs are fed back to remove the beams from the beam selection candidates. Note that instead of or in addition to identifying the IDs of the interfering beams, the radio wave intensity of the interfering beams may be used.

[0048] 7 is a sequence diagram when the measurement results of the interference beam according to the second embodiment are shared from the base station to the user equipment. With reference to the same figure, the process for controlling the influence of crosslink interference according to this embodiment will be described. Note that all of the DUs shown in the same figure are connected to UE1 to UE3. A UE that performs beam sweeping may be referred to as a specific DU, and a UE adjacent to the specific UE may be referred to as a neighboring UE. Also, a DU connected to a specific UE may be referred to as a specific DU. In the example shown in the figure, DU1 is a specific DU, UE1 is a specific UE, and UE2 and UE3 are neighboring UEs.

[0049] (Step S301) First, DU1, which is a specific DU, schedules beam sweep for UE1, which is a specific UE.

[0050] (Step S303) Next, DU1 determines neighboring UEs based on the location information of the UEs. A specific example of location information used to determine neighboring UEs is information received from an artificial satellite such as GPS. DU1 schedules neighboring UEs to measure the noise strength of interference waves. If there are multiple neighboring UEs, DU1 schedules each of the multiple neighboring UEs to measure the noise strength of interference waves. In the example shown in the figure, DU1 schedules neighboring UEs UE2 and UE3 to measure the noise strength of interference waves. In addition to scheduling the measurement of the noise strength of interference waves, DU1 allocates RBs for interference feedback.

[0051] (Step S305) Next, DU1 allocates resource blocks for notifying UE1 of the index of the interference beam to UE1. Note that the resource blocks allocated by DU1 may also be used to notify radio wave intensity in addition to the index of the interference beam.

[0052] (Step S307) Next, UE1 performs beam sweep using the resource blocks allocated by DU1.

[0053] (Step S309) Next, the neighboring UE measures the radio wave strength when beam sweep is performed by DU1, i.e., the noise strength of the interference wave. The neighboring UE feeds back the noise strength of the interference wave obtained as a result of the measurement to the DU. In the example shown in the figure, since neighboring UEs UE2 and UE3 are both connected to DU1, UE2 and UE3 feed back the noise strength of the interference wave to DU1.

[0054] (Step S311) DU1 acquires the noise intensity of the interference wave from each of one or more neighboring UEs. DU1 can also be said to acquire information based on the noise intensity of the interference wave measured by the neighboring UEs as a result of beam sweeping by UE1. DU1 notifies UE1, which is a specific UE, of the acquired information.

[0055] (Step S313) UE1 determines the beam to use based on the "information on interfering beams" measured by neighboring UEs.

[0056] Here, it is preferable that the "information about interfering beams" used by UE1 to determine the beam to use includes at least information about the index of the beam. UE1 can also obtain the index of the beam determined to be interfering based on the noise intensity of the interference wave measured by the neighboring UE as a result of performing a beam sweep. UE1 may determine the beam to use by excluding the beam with that index. By transmitting the beam index from the neighboring UE in this way, the payload can be made smaller than when transmitting the noise intensity.

[0057] Furthermore, it is preferable that the "information about interfering beams" used by UE1 to determine the beam to be used includes information about the ratio of the interference wave measured by adjacent user equipment to the desired wave (e.g., SINR (Signal-to-Noise Ratio)). UE1 may acquire the SINR of the interference wave measured by adjacent UEs as a result of performing a beam sweep, and determine the beam to be used based on the acquired SINR. For example, based on the SINR, the beam to be used may be determined by excluding beams with a high noise ratio. By feeding back the SINR, the neighboring UE can make a more detailed decision based on the noise ratio, although this increases the payload. For example, in a situation where UEs are densely packed, even if all beam indexes interfere, it is possible to select a beam with a low noise ratio and continue communication.

[0058] The above-described embodiment of transmitting a beam index and the embodiment of implementing SINR may be used in combination. For example, the beam to be used may be determined using the beam index under normal circumstances, and the beam to be used may be determined using the SINR under congested circumstances. In this case, UE1 acquires the index of the beam determined to be interfering and information on the ratio of the interference wave to the desired wave based on the noise intensity of the interference wave measured by the neighboring UE as a result of performing beam sweep. UE1 also acquires information on the number of UEs adjacent to itself from DU1. UE1 determines the beam to be used based on the index of the beam determined to be interfering when the number of neighboring UEs is small, and determines the beam to be used based on the SINR when the number of neighboring UEs is large. This configuration enables light-load processing under normal circumstances, while highly accurate processing under congested circumstances.

[0059] 8 is a sequence diagram when the measurement results of interference beams according to the second embodiment are shared between user equipments. A modified example of the process for controlling the influence of crosslink interference according to this embodiment will be described with reference to the same figure. Note that all of the DUs shown in the figure are connected to UE1 to UE3. A UE that performs beam sweeping may be referred to as a specific DU, and a UE adjacent to the specific UE may be referred to as a neighboring UE. Also, a DU connected to a specific UE may be referred to as a specific DU. In the example shown in the figure, DU1 is a specific DU, UE1 is a specific UE, and UE2 and UE3 are neighboring UEs.

[0060] The sequence described with reference to FIG. 7 is an example of a case where the measurement results of the interference beam are shared from the base station to the user equipment. In this case, UE1 acquires information based on the noise intensity of the interference wave measured by neighboring UEs as a result of performing a beam sweep via the base station. However, according to this embodiment, information may be shared between UEs without going through the base station. For example, it is possible to share the measurement results of the interference beam via SideLink. In the modified example shown in FIG. 8, a sequence for sharing the measurement results of the interference beam via SideLink will be described.

[0061] (Step S401) First, DU1, which is a specific DU, schedules beam sweep for UE1, which is a specific UE.

[0062] (Step S403) Next, DU1 determines neighboring UEs based on the location information of the UEs. A specific example of location information used to determine neighboring UEs is information received from an artificial satellite such as a GPS. DU1 schedules neighboring UEs to measure the noise strength of interference waves. If there are multiple neighboring UEs, DU1 schedules each of the multiple neighboring UEs to measure the noise strength of interference waves. In the example shown in the figure, DU1 schedules neighboring UEs UE2 and UE3 to measure the noise strength of interference waves. In addition to scheduling the measurement of the noise strength of interference waves, DU1 also schedules interference feedback.

[0063] (Step S405) Next, UE1 performs beam sweep.

[0064] (Step S407) Next, the neighboring UE measures the radio wave strength when DU1 performs the beam sweep, i.e., the noise strength of the interference wave. The neighboring UE feeds back the noise strength of the interference wave obtained as a result of the measurement to UE1, which is a specific UE. UE1 can also obtain information based on the noise strength of the interference wave measured by the neighboring UE as a result of performing the beam sweep from the neighboring UE without going through the base station. Note that in the example shown in the figure, it is assumed that the UEs can be connected to each other via SideLink or the like. If the UEs are not connected to each other, the method shown in FIG. 7 may be used.

[0065] (Step S409) UE1 determines a beam to use based on information based on the noise strength of interference waves measured by neighboring UEs.

[0066] [Summary of the second embodiment] According to the above-described embodiment, the user equipment is a user equipment of a 5G mobile communication system equipped with a memory and a processor, and performs beam sweeping using resource blocks allocated by a base station, acquires information based on the noise intensity of interference waves measured by neighboring user equipment as a result of the beam sweeping, and determines a beam to be used based on the information on the interfering beam. By adopting such a configuration, according to this embodiment, even when the user equipment performs beamforming, it is possible to effectively control the influence of crosslink interference between user equipment.

[0067] FIG. 9 is a block diagram showing an example of the internal configuration of a base station or user equipment according to this embodiment. At least some of the functions of the base station or user equipment can be implemented using a computer. As shown in the figure, the computer includes a central processing unit 901, a RAM 902, an input / output port 903, input / output devices 904 and 905, and a bus 906. The computer itself can be implemented using existing technology. The central processing unit 901 executes instructions contained in a program read from the RAM 902 or the like. In accordance with these instructions, the central processing unit 901 writes data to the RAM 902, reads data from the RAM 902, and performs arithmetic and logical operations. The RAM 902 stores data and programs. Each element in the RAM 902 has an address and can be accessed using the address. RAM stands for "random access memory." The input / output port 903 is a port through which the central processing unit 901 exchanges data with external input / output devices. The input / output devices 904 and 905 are input / output devices. Input / output devices 904 and 905 exchange data with central processing unit 901 via input / output port 903. Bus 906 is a common communication path used within the computer. For example, central processing unit 901 reads and writes data from RAM 902 via bus 906. Also, for example, central processing unit 901 accesses an input / output port via bus 906. Furthermore, all or part of each functional unit provided in the base station may be realized using hardware such as ASIC, PLD, or FPGA. Furthermore, all or part of each functional unit may be realized by a combination of software and hardware.

[0068] Furthermore, the above-described embodiment can, for example, "optimally control the effects of cross-link interference," thereby contributing to Goal 9 of the United Nations-led Sustainable Development Goals (SDGs), which is to "build resilient infrastructure, promote sustainable industrialization, and foster innovation."

[0069] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like are also included within the scope that does not deviate from the gist of the present invention.

[0070] In addition, a computer program for realizing the functions of each of the above-described devices may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read and executed by a computer system. Note that the "computer system" here may also include hardware such as an OS and peripheral devices. In addition, "computer-readable recording medium" refers to writable non-volatile memory such as a flexible disk, optical magnetic disk, ROM, or flash memory, portable media such as a DVD (Digital Versatile Disc), or a storage device such as a hard disk built into a computer system.

[0071] Furthermore, the term "computer-readable recording medium" also includes a storage medium that stores a program for a certain period of time, such as a volatile memory (e.g., DRAM (Dynamic Random Access Memory)) within a computer system that serves as a server or client when the program is transmitted via a network such as the Internet or a communication line such as a telephone line. The program may also be transmitted from a computer system that stores the program in a storage device or the like to another computer system via a transmission medium or by transmission waves within the transmission medium. Here, the "transmission medium" that transmits the program refers to a medium that has the function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may also be a program that realizes part of the aforementioned functions. Furthermore, the program may be a so-called differential file (differential program) that can realize the aforementioned functions in combination with a program already stored in the computer system. [Explanation of symbols]

[0072] UE…User Equipment、CU…Central Unit、DU…Distributed Unit、RU…Radio Unit、UL…Up Link、DL…Down Link

Claims

1. A user device for a 5G mobile communication system, comprising a memory and a processor, Performing beam sweep using resource blocks allocated by the base station; acquiring information based on noise intensity of interference waves measured by adjacent user devices as a result of the beam sweep; Deciding which beam to use based on information about interfering beams; User equipment.

2. acquiring an index of a beam determined to be interfering based on noise intensity of an interference wave measured by an adjacent user device as a result of the beam sweep; Determine the beam to be used by excluding the index of the beam determined to be interfering; The user device of claim 1 .

3. As a result of the beam sweep, information is obtained regarding a ratio of an interference wave to a desired wave among interference waves measured by adjacent user devices; The beam to be used is determined based on the ratio of the interference wave to the desired wave.

3. A user device according to claim 1 or claim 2.

4. As a result of the beam sweep, an index of a beam determined to be interfering is acquired based on the noise intensity of the interference wave measured by an adjacent user device, and information on the ratio of the interference wave to the desired wave is acquired; obtaining information about the number of user equipments adjacent to the base station; When the number of user devices adjacent to the mobile station is small, the mobile station determines the beam to be used based on the index of the beam determined to be interfering, and when the number of user devices adjacent to the mobile station is large, the mobile station determines the beam to be used based on the proportion of interference waves. The user device of claim 1 .

5. acquiring, from the adjacent user equipment via the base station, information based on noise intensity of the interference wave measured by the adjacent user equipment as a result of the beam sweep; 3. A user device according to claim 1 or claim 2.

6. acquiring information based on noise intensity of interference waves measured by the adjacent user equipment as a result of the beam sweep from the adjacent user equipment without going through the base station; 3. A user device according to claim 1 or claim 2.

7. A 5G mobile communication system comprising: a user equipment having a memory and a processor; and a base station, The base station schedules a beam sweep for the user equipment; The user device Performing beam sweep using resource blocks allocated by the base station; acquiring information based on noise intensity of interference waves measured by adjacent user devices as a result of the beam sweep; Deciding which beam to use based on information about interfering beams; 5G mobile communication system.

8. The base station acquires, from each of a plurality of neighboring user equipments, information based on noise intensity of interference waves measured by the plurality of neighboring user equipments as a result of the user equipment performing the beam sweep; transmitting information based on noise intensity of interference waves acquired from each of a plurality of adjacent user devices to the user device that performed the beam sweep; 8. The 5G mobile communication system according to claim 7.

9. The base station determines neighboring user equipment based on location information of the user equipment; scheduling adjacent user equipments to measure the noise strength of the interference signal; The 5G mobile communication system according to claim 7 or claim 8.

10. A method for controlling a user equipment of a 5G mobile communication system, comprising: a memory and a processor; Performing beam sweep using resource blocks allocated by the base station; acquiring information based on noise intensity of interference waves measured by adjacent user devices as a result of the beam sweep; Deciding which beam to use based on information about interfering beams; A method for controlling a user device.

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