Information prediction method, information prediction device, network equipment, and node equipment

Abstract

This disclosure provides an information prediction method, an information prediction device, a network device, and a node device. The method includes transmitting service transmission prediction information to a first node for scheduling a service transmission of a terminal at a first time point, the service transmission prediction information including an uplink interference prediction value and / or a channel matrix prediction value, the first time point being after a second time point, the second time point being the time when the first node receives an uplink reference signal transmitted from the terminal.

Description

[Technical Field]

[0001] (Cross-reference of related applications) This application claims priority to Chinese Patent Application No. 202310763447.3, filed in China on 27 June 2023, the entire contents of which are incorporated herein by reference.

[0002] This disclosure relates to the wireless technology field, and more particularly to information prediction methods, information prediction devices, network equipment, and node equipment. [Background technology]

[0003] In the communication systems of the 4th Generation Mobile Communication Technology (4G) Long Term Evolution (LTE) and the 5th Generation Mobile Communication Technology (5G) New Radio (NR), Adaptive Modulation and Coding (AMC) technology is typically employed to address the time-varying characteristics of radio channels and ensure the transmission quality of the radio link. AMC is a technology that adaptively adjusts the modulation scheme and coding rate of radio link transmission in response to changes in the radio channel. Specifically, if the channel quality is poor, a lower-order modulation and coding scheme (MCS) is selected, and if the channel quality is good, a higher-order MCS is selected. This makes it possible to maximize radio link transmission efficiency while ensuring the reliability of radio link transmission.

[0004] Currently, MCS selection and adjustment typically involve inner loop control and outer loop control. In inner loop control, the base station selects an appropriate MCS value by referring to a table based on signal-to-interference plus ratio (SINR) information obtained by measuring the uplink reference signal. In outer loop control, the base station adjusts the MCS value based on the success / failure of the cyclic redundancy check (CRC) of the physical uplink shared channel (PUSCH) obtained by decoding, so that the block error rate (BLER) asymptotically converges to the BLER target value.

[0005] In existing MCS selection methods, the time when the base station measures the uplink (UL) SINR differs from the time when the uplink push data service is scheduled to be transmitted, resulting in a gap of several milliseconds between the two. During this time, the channel quality has already changed. When interference fluctuations are large, the base station cannot select an appropriate MCS based on the channel quality at the time the uplink push data service is scheduled to be transmitted. As a result, the selected MCS may not meet the high reliability and low latency transmission requirements for wireless network transmission. [Overview of the Initiative] [Problems that the invention aims to solve]

[0006] The purpose of the technical solutions disclosed herein is to provide an information prediction method, an information prediction device, network equipment, and node equipment, which solve the problem that the time at which the base station measures UL SINR and the transmission time of the uplink push data service that is soon scheduled differ, resulting in the selected MCS not matching the channel quality at the time of transmission of the uplink push data service and failing to meet the requirements for high reliability and low latency transmission of wireless network transmission. [Means for solving the problem]

[0007] In one embodiment of the present disclosure, an information prediction method is provided which is performed by a first network device, and the information prediction method is The procedure includes the step of transmitting service transmission prediction information to a first node for scheduling a terminal at a first time point, wherein the service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, the first time point is located after a second time point, the second time point being the time when the first node obtains an uplink reference signal transmitted from a terminal.

[0008] Optionally, the information prediction method further: A step of sending a subscription request to the first node, wherein the subscription request is used to request that the first node subscribe to measurement information corresponding to the terminal, which was acquired in the historical time before the second time point in time. A step of receiving first information transmitted by the first node based on the subscription request, wherein the first information includes the measurement information, The process includes the step of determining the service transmission prediction information based on the first information.

[0009] Optionally, in the information prediction method, the subscription request includes one or more of the following: identification information of the subscribed terminal, subscription content, and reporting method, the subscription content includes the measurement information for which subscription is requested, and the measurement information includes uplink interference and / or channel matrix.

[0010] Optionally, the information prediction method may include periodic reporting as part of the reporting method.

[0011] Optionally, in the information prediction method, the historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0012] Optionally, in the information prediction method, the step of receiving first information transmitted by the first node based on the subscription request is: The process includes receiving first information transmitted by the first node to the first network device in the reporting format based on the subscription request, the first information including the subscription content.

[0013] Optionally, in the information prediction method, if the measurement information includes uplink interference, the uplink interference required by the subscription content is the uplink interference received for each transmission resource block within the operating frequency band of the service cell where the terminal is located over a plurality of historical time periods. If the measurement information includes a channel matrix, the channel matrix required by the subscription content is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0014] Optionally, in the information prediction method, the uplink interference received for each transmission resource block includes the uplink interference value RIP (Received Interference Power) and / or the interference overload value IOT (Interference Over Thermal) received for each transmission resource block.

[0015] Optionally, in the information prediction method, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving side of the uplink reference signal transmitted by the terminal.

[0016] Optionally, in the information prediction method, the step of determining the service transmission prediction information based on the first information is: The process includes the steps of determining an uplink interference prediction value for the first node to schedule a terminal at a first time point based on the uplink interference, and / or determining a channel matrix prediction value for the first node to schedule a terminal at a first time point based on the channel matrix.

[0017] Optionally, in the information prediction method, the step of determining a predicted channel matrix value for the first node to schedule a terminal at a first time point based on the channel matrix is: The steps include transforming the channel matrix of the uplink reference signal received at multiple historical time points and obtaining channel feature data of the uplink reference signal received at those multiple historical time points, The steps include obtaining a channel feature prediction value for which the first node schedules a terminal at a first time point, based on the channel feature data of the uplink reference signal received at the aforementioned multiple historical time points, performing inverse transformation on the predicted channel feature value to obtain the predicted channel matrix value for the first node to schedule the terminal at the first time point, and the method includes this step.

[0018] In an embodiment of the present disclosure, an information prediction method executed by a first node is provided. The information prediction method includes after obtaining the uplink reference signal of the terminal at a second time point, obtaining prediction information for the first node to schedule the service transmission of the terminal at a first time point, where the service transmission prediction information includes an uplink interference prediction value and / or a predicted channel matrix value, and the first time point is located after the second time point, and the method includes this step. determining the uplink channel quality at the first time point based on the service transmission prediction information, and the method includes this step.

[0019] Optionally, the information prediction method further includes determining a modulation and coding scheme (MCS) value of the physical downlink control channel to be transmitted to the terminal based on the uplink channel quality at the first time point, and the method includes this step.

[0020] Optionally, the information prediction method further includes receiving a subscription request transmitted from a first network device, where the subscription request is used to request subscribing to measurement information corresponding to the terminal obtained by the first node during a historical time before the second time point, and the method includes this step. transmitting first information to the first network device based on the subscription request, where the first information includes the measurement information, and the method includes this step. The step of obtaining prediction information for the first node to schedule the service transmission of the terminal at a first time point includes obtaining the service transmission prediction information transmitted from the first network device based on the first information, and the method includes this step.

[0021] Optionally, in the information prediction method, the subscription request includes one or more of the following: identification information of the subscribed terminal, subscription content, and reporting method, the subscription content includes the measurement information for which subscription is requested, and the measurement information includes uplink interference and / or channel matrix.

[0022] Optionally, the information prediction method may include periodic reporting as part of the reporting method.

[0023] Optionally, in the information prediction method, the historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0024] Optionally, in the information prediction method, the step of transmitting first information to the first network device based on the subscription request is: The process includes the step of transmitting the first information to the first network device using the reporting method based on the subscription request.

[0025] Optionally, in the information prediction method, if the measurement information includes uplink interference, the uplink interference required by the subscription content is the uplink interference received for each transmission resource block within the operating frequency band of the service cell where the terminal is located over a plurality of historical time periods. If the measurement information includes a channel matrix, the channel matrix required by the subscription content is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0026] Optionally, in the information prediction method, the uplink interference received for each transmission resource block includes the uplink interference value RIP received at each transmission resource block and / or the interference rise value IOT received for each transmission resource block.

[0027] Optionally, in the information prediction method, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving side of the uplink reference signal transmitted by the terminal.

[0028] Optionally, in the information prediction method, if the service transmission prediction information includes uplink interference prediction values, the step of obtaining the uplink interference prediction values ​​for scheduling the terminal at the first time point is: The process includes determining an uplink interference prediction value for scheduling the terminal at the first time point, based on the uplink interference received for each transmission resource block within the operating frequency band of the service cell where the terminal is located, within a plurality of historical time periods prior to the second time point.

[0029] Optionally, in the information prediction method, if the service transmission prediction information includes channel matrix prediction values, the step of obtaining channel matrix prediction values ​​for scheduling terminals at the first time point is: The steps include determining the channel matrix of the uplink reference signal received at a plurality of historical time periods based on the historical channel data of the uplink reference signal received from the terminal at a plurality of historical time periods prior to the second time period, The steps include: transforming the channel matrix of the uplink reference signal received at the plurality of historical time periods and obtaining channel feature data of the uplink reference signal received at the plurality of historical time periods; The steps include obtaining a channel feature prediction value for which the first node schedules a terminal at a first time point, based on the channel feature data of the uplink reference signal received at the aforementioned multiple historical time points, The process includes the step of inversely transforming the channel feature prediction values ​​to obtain the channel matrix prediction values ​​for the first node to schedule the terminal at a first time point.

[0030] Optionally, the step of determining the uplink channel quality at the first time point based on the service transmission prediction information is: The process includes determining the uplink channel quality at a first time point based on the uplink interference prediction value when the first node schedules the terminal at a first time point, and the signal strength of the uplink reference signal received by the first node at a second time point.

[0031] Optionally, in the information prediction method, the step of determining the uplink channel quality at the first time point based on the service transmission prediction information is: The steps include determining the predicted signal intensity of the uplink reference signal that the first node will receive from the terminal at the first time, based on the predicted channel matrix value when the first node schedules the terminal at the first time; The process includes the step of determining the uplink channel quality at a first time point based on the predicted signal intensity and the predicted uplink interference value.

[0032] In one embodiment of the present disclosure, a network device comprising a transceiver is provided. The network device is a first network device, and the transceiver is The first node is configured to transmit service transmission prediction information for scheduling a terminal at a first time point, the service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, the first time point is located after a second time point, the second time point is the time when the first node acquires an uplink reference signal transmitted from a terminal.

[0033] In one embodiment of the present disclosure, a node device comprising a transceiver and a processor is provided. Here, The transceiver is used to obtain predictive information for the first node to schedule service transmissions of the terminal at the first time point, after acquiring the terminal's uplink reference signal at the second time point, the service transmission predictive information includes uplink interference prediction values ​​and / or channel matrix prediction values, and the first time point is located after the second time point. The processor is used to determine the uplink channel quality at the first time point based on the service transmission prediction information.

[0034] In one embodiment of this disclosure, an information prediction device applied to a first network device is provided. The information prediction device is The first node includes an information transmission module configured to transmit service transmission prediction information for scheduling a terminal at a first time point, the service transmission prediction information including uplink interference prediction values ​​and / or channel matrix prediction values, the first time point being after a second time point, the second time point being the time when the first node acquires an uplink reference signal transmitted from a terminal.

[0035] In one embodiment of this disclosure, an information prediction device applied to a first node is provided. The information prediction device is An information acquisition module configured such that, after acquiring the terminal's uplink reference signal at a second time point, the first node acquires predictive information for scheduling the terminal's service transmission at the first time point, wherein the service transmission predictive information includes uplink interference prediction values ​​and / or channel matrix prediction values, and the first time point is located after the second time point, The system includes a decision module configured to determine the uplink channel quality at a first time point based on the service transmission prediction information.

[0036] In one embodiment of the present disclosure, a network device is provided. The network device includes a processor, memory, and a program stored in the memory and executable on the processor, and when the program is executed by the processor, it realizes the information prediction method described in any one of the above paragraphs.

[0037] In one embodiment of the present disclosure, a readable storage medium is provided. A program is stored on the readable storage medium, and when the program is executed by a processor, the steps of the information prediction method described in any one of the above paragraphs are realized.

[0038] At least one of the above technical solutions in this disclosure has the following beneficial effects:

[0039] By employing the information prediction method according to the embodiment of this disclosure, the first network device can transmit service transmission prediction information to the first node for scheduling a terminal at a first time point, the first time point being after the second time point in which the uplink reference signal transmitted from the terminal is acquired. This allows the first node to determine the uplink channel quality based on the service transmission prediction information for scheduling the terminal at the first time point, ensuring that the selected MCS value matches the channel quality at the time of transmission of the uplink push data service. This avoids the problem where the selected MCS value does not match the channel quality at the time of transmission of the uplink push data service, thus failing to meet the requirements for high reliability and low latency transmission of wireless network transmission. [Brief explanation of the drawing]

[0040] [Figure 1] This is a schematic flowchart of the information prediction method according to Embodiment 1 of this disclosure. [Figure 2] This is a schematic flowchart of Embodiment 1 using the method according to the embodiments of this disclosure. [Figure 3] This is a schematic flowchart of Embodiment 2 using the method according to the embodiments of this disclosure. [Figure 4] This is a schematic flowchart of the information prediction method according to Embodiment 2 of this disclosure. [Figure 5] This is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure. [Figure 6] This is a schematic diagram of the structure of a node device according to an embodiment of the present disclosure. [Figure 7] This is a schematic diagram of the structure of an information prediction device according to Embodiment 1 of the present disclosure. [Figure 8] This is a schematic diagram of the structure of an information prediction device according to Embodiment 2 of the present disclosure. [Modes for carrying out the invention]

[0041] To further clarify the technical problems, technical solutions, and benefits that this disclosure aims to address, they will be described in detail below in conjunction with the drawings and specific embodiments.

[0042] In related technologies, the MCS selection method has a problem where the time at which the base station measures UL SINR differs from the time at which the uplink push data service that is soon to be scheduled is transmitted. As a result, the selected MCS does not match the channel quality at the time of transmission of the uplink push data service, and the high reliability and low latency transmission requirements for wireless network transmission cannot be met. To address this problem, embodiments of the present disclosure provide an information prediction method. A first network device can transmit service transmission prediction information to a first node, scheduling a terminal (the terminal to transmit a push) at a first time point, which is after a second time point in which the uplink reference signal transmitted from the terminal is obtained. This allows the first node to determine the uplink channel quality based on the service transmission prediction information for scheduling the terminal at the first time point, ensuring that the selected MCS value matches the channel quality at the time of transmission of the uplink push data service. This avoids the problem where the selected MCS value does not match the channel quality at the time of transmission of the uplink push data service, and thus the high reliability and low latency transmission requirements for wireless network transmission cannot be met.

[0043] One embodiment of this disclosure provides an information prediction method performed by a first network device. As shown in Figure 1, the method includes the following steps.

[0044] In S110, the first node receives service transmission prediction information for scheduling a terminal at a first time point, the service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, the first time point is located after a second time point, and the first node acquires the uplink reference signal transmitted from the terminal at the second time point.

[0045] In other words, the second point in time is the point in time when the first node receives the uplink reference signal transmitted from the terminal.

[0046] In embodiments of this disclosure, the first network device may optionally be a node device, network unit, or module capable of uplink interference prediction and channel prediction. The first node is a base station that is communicated with a terminal.

[0047] In embodiments of this disclosure, optionally, the first time point is the time when the base station schedules the terminal, i.e., the time when the terminal transmits a PUSCH to the base station. The second time point is the time when the base station receives the uplink reference signal transmitted from the terminal, and is located before the first time point.

[0048] Furthermore, embodiments of the present disclosure may also include a third time point located between the second and first time points. In this third time point, the base station transmits Physical Downlink Control Channel (PDCCH) data to the terminal, which includes an MCS value selected by the base station, and the terminal transmits a PUSCH to the base station based on the PDCCH data transmitted by the base station.

[0049] In embodiments of this disclosure, the time at which the first network device transmits service transmission forecast information to the first node is after the second time point and before the third time point. This allows the first node (e.g., a base station) to determine the uplink channel quality based on the service transmission forecast information for terminal scheduling at the first time point, select a more appropriate MCS for the uplink data service to be transmitted soon, enhance the AMC algorithm, and ensure the high reliability and low latency requirements of the wireless network.

[0050] As an option, in one embodiment, the method further A step of sending a subscription request to the first node, the subscription request being used to request that the first node subscribe to (subscribe to) measurement information corresponding to the terminal acquired in the historical time before the second point in time, A step of receiving first information transmitted by the first node based on the subscription request, wherein the first information includes the measurement information, The process includes the step of determining the service transmission prediction information based on the first information.

[0051] By adopting this embodiment, the first network device has the functions of uplink interference prediction and channel prediction, can send a subscription request to the first node, obtain first information fed back from the first node based on this subscription request, and determine service transmission prediction information.

[0052] In embodiments of this disclosure, the first network device may optionally send a subscription request to the first node via an interface connected to the first node.

[0053] In one embodiment, the subscription request may optionally include one or more of the following: identification information of the subscribed terminal, subscription content, and reporting method. The subscription content includes the measurement information for which the subscription is requested, and the measurement information includes uplink interference and / or channel matrix.

[0054] Optionally, this reporting method may include, but is not limited to, periodic reporting.

[0055] Furthermore, the historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0056] In one embodiment, optionally, the measurement information includes uplink interference, and the uplink interference required by the subscription is the uplink interference received on each Transmission Resource Block within the operating frequency band of the service cell where the terminal is located over multiple historical time periods.

[0057] The measurement information includes a channel matrix, and the channel matrix required by the subscription is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0058] Specifically, the uplink interference received on each transmission resource block includes the uplink interference value (i.e., received interference power, RIP) and / or the interference over thermal noise ratio (IOT) received on each transmission resource block.

[0059] Optionally, the transmission resource block may include resource blocks (RB) and / or resource block groups (RBG).

[0060] Specifically, a subscription request transmitted by the first network device to the first node is used to request a subscription to the uplink interference value RIP and / or interference-to-thermal noise ratio (IOT) received by each RB / RBG during historical time (the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle) within the operating frequency band of the service cell where the terminal is located. In embodiments of this disclosure, optionally, the uplink interference for the time between the previous reporting cycle and the current reporting cycle of the requested subscription may be the average interference value within that time.

[0061] and / or, the subscription request is used to request a subscription to the terminal's channel matrix for historical time (the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle), where the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal. In embodiments of the present disclosure, optionally, the channel matrix for the time between the previous reporting cycle and the current reporting cycle of the requested subscription may include sampled data of all channel matrices within that time.

[0062] In an embodiment of the present disclosure, in another embodiment, optionally, a first node (e.g., a base station) receives a subscription request from a first network device and, based on the subscription request, transmits first information to the first network device via an interface connected to the first network device. The first information includes measurement information for the subscription requested by the first network device, i.e., the uplink interference and / or channel matrix of the requested subscription.

[0063] Here, the step of the first network device receiving the first information transmitted by the first node based on the subscription request is: The process includes receiving first information transmitted by the first node to the first network device using the reporting method based on the subscription request, wherein the first information includes the subscription details.

[0064] Specifically, the subscription includes uplink interference and / or channel matrices.

[0065] Here, the subscription content included in the first information includes the uplink interference value RIP and / or the interference-to-thermal noise ratio (IOT) received by each RB / RBG during historical time (the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle) within the operating frequency band of the service cell where the terminal is located. In embodiments of this disclosure, optionally, the uplink interference during the time between the previous reporting cycle and the current reporting cycle in the subscription content included in the first information may be the average interference value during that time.

[0066] For example, if the uplink interference included in the first information includes RIP, then within a certain historical time, the RIPs received by each RB or RBG may be as shown in Table 1 below.

[0067] [Table 1] Furthermore, the subscription content included in the first information includes the terminal's channel matrix for historical time (the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle). Here, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal. In embodiments of this disclosure, optionally, the channel matrix for the time between the previous reporting cycle and the current reporting cycle in the subscription content included in the first information may include sampled data of all channel matrices within that time.

[0068] In embodiments of this disclosure, the step of a first network device determining service transmission prediction information based on first information transmitted to the first network device by a first node using the reporting scheme is: The process includes the steps of: determining an uplink interference prediction value for terminal scheduling at a first time point based on the uplink interference; and / or determining a channel matrix prediction value for terminal scheduling at a first time point based on the channel matrix.

[0069] Specifically, the first network device performs data processing, model training, and model inference based on the uplink interference and / or channel matrix within a predetermined historical time range reported from the first node, and generates uplink interference predictions and channel predictions.

[0070] In this case, if the first network device determines the predicted uplink interference value for terminal scheduling at a first time point based on uplink interference, uplink interference prediction can be achieved based on artificial intelligence (AI) methods.

[0071] Specifically, the first network device converts uplink interference within a predetermined historical time range into a supervised learning dataset, predicts uplink interference at future points in time, and obtains uplink interference prediction values.

[0072] Assuming that within a predetermined history time range, the interval between each history period is one transmission time interval (TTI), the RIPs received by each transmission resource block within the operating frequency band of the service cell where the terminal is located, corresponding to the T history periods prior to the second time point T, can be expressed as shown in Table 2, where T is an integer of 1 or greater.

[0073] [Table 2]

[0074] Based on the T history periods described above, the RIP at the kth time point (the first time point) after the second time point t can be determined from the RIP received by each transmission resource block within the operating frequency band of the service cell where the terminal is located. In other words, the RIP received by each transmission resource block within the operating frequency band of the service cell where the terminal is located can be determined, and this is specifically as shown in Table 3 below.

[0075] [Table 3]

[0076] Specifically, by using RIPs received by each transmission resource block within the operating frequency band of the service cell where the terminal is located, corresponding to T history cycles, as input (such as the data shown in Table 2), and employing an AI algorithm, and utilizing the training and inference process of the AI ​​model, it is possible to obtain the uplink interference prediction value received by each transmission resource block corresponding to the scheduling of the terminal at the first time point, for example, obtaining the RIPs shown in Table 3.

[0077] As an option, the AI ​​algorithm could include, but is not limited to, algorithms employing models such as the distributed gradient boosting library XGBoost, long short-term memory (LSTM), and time convolutional networks.

[0078] In another embodiment of the information prediction method according to the present disclosure, the step of the first node determining a predicted channel matrix value for scheduling a terminal at a first time point based on the channel matrix is: The steps include transforming the channel matrix of the uplink reference signal received at the multiple historical time periods and obtaining channel feature data of the uplink reference signal received at the multiple historical time periods, The steps include: obtaining channel feature prediction values ​​for scheduling the terminal at a first time point based on the channel feature data of the uplink reference signal received at multiple historical time points; The process includes the step of inversely transforming the channel feature prediction value to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0079] By adopting this embodiment, the first node (base station) continuously monitors and records the received signal characteristics of the uplink reference signal transmitted by the scheduled terminal over the access carrier at each base station antenna, acquires historical channel data of the uplink reference signal received from the terminal at multiple historical time points prior to the second time point, determines the channel matrix of the uplink reference signal received at multiple historical time points, and transmits the channel matrices of the multiple historical time points to the first network device. Based on the channel matrices of the multiple historical time points, the first network device determines the predicted channel matrix value for terminal scheduling that the first node has determined at the first time point.

[0080] Specifically, the correspondence between the received signal characteristics at each base station antenna of the uplink reference signal transmitted by a scheduled terminal over the access carrier and the corresponding channel matrix of the uplink reference signal can be expressed by the following Equation 1.

[0081]

number

[0082] Therefore, based on Equation 1, the channel matrix of the uplink reference signal received by the base station and the channel data of the uplink reference signal transmitted by the scheduling user and the channel data of the uplink reference signal transmitted from the terminal can be used to determine the channel matrix at the time t (second time point) when the uplink reference signal was received, for example, H t It is possible to determine what is represented as (k,r,p). Based on this principle, the channel matrix of the uplink reference signal received at multiple historical points in time or historical time can be obtained.

[0083] In embodiments of the present disclosure, based on the foregoing, the historical channel data includes first channel data of the uplink reference signal transmitted by the terminal on the k-th subcarrier and the p-th antenna, and second channel data of the uplink reference signal of the k-th subcarrier on the terminal's r-th antenna, received by the base station.

[0084] The channel matrix represents the channel matrix of the uplink reference signal transmitted by the k-th subcarrier over the specified number of historical time points, transmitted from the p-th antenna of the terminal to the r-th antenna of the base station. k, p, and r are all integers greater than 0.

[0085] Here, the channel matrix received at each historical time can form a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the scheduled terminal, M is the number of base station antennas, and P is the number of terminal antennas.

[0086] In the information prediction method according to the embodiment of this disclosure, when the first network device obtains a channel matrix prediction value for terminal scheduling at a first time point, after the first node (base station) obtains the channel matrix of the uplink reference signal received at the multiple historical time points, the first network device transforms the channel matrix of the uplink reference signal received at the multiple historical time points and obtains channel feature data of the uplink reference signal received at the multiple historical time points.

[0087] Specifically, using Equation 2 below, the channel matrix of the uplink reference signal received at the second time point t can be transformed, and the channel feature data of the uplink reference signal received at the second time point t can be obtained.

[0088]

number

[0089] This is the channel matrix of the uplink reference signal received at the second time point t.

[0090]

number

[0091] Optionally, the channel matrix of the uplink reference signal received at the second time point t can be transformed using structural transformation methods such as the multidimensional Discrete Fourier Transform (DFT) or Singular Value Decomposition (SVD). Therefore, the structural transformation matrix G can be the DFT matrix in the multidimensional DFT transformation, or the transformation orthogonal base in the SVD transformation.

[0092] By employing this principle, channel feature data of the uplink reference signal received at each historical time (e.g., t1, t2, ..., tT) is obtained by transforming the channel matrix of the uplink reference signal received at each historical time. In other words, channel features that can be predicted in the time domain are obtained, and each

[0093]

number

[0094] Furthermore, based on the channel feature data of the uplink reference signal received at multiple historical time points, it is possible to obtain predicted channel feature values ​​for scheduling the terminal at the first time point.

[0095] As an option, an autoregressive model (AR) can be used for time series forecasting, and based on the channel feature data of the uplink reference signal received over multiple historical time periods, a channel feature prediction value for scheduling the terminal can be obtained at the first time point.

[0096] Specifically, the channel feature prediction value for scheduling the terminal at the first time point S can be obtained using the following equation 3.

[0097]

number

[0098] This is the channel feature data for one TTI time point prior to the first time point S.

[0099] m is the order of the AR model, indicating that the channel features at time point S are correlated with m channel features within the historical time period. i is the autoregressive coefficient of the channel features, and u S This is a random noise term.

[0100] By employing this embodiment, it is possible to train using multiple time series, obtain coefficients for the AR model, and use these to predict the next time sample that is one TTI away. Furthermore, it is possible to predict time samples that are k TTI away using time-domain sliding prediction. Therefore, based on this principle, it is possible to obtain channel feature prediction values ​​for scheduling the terminal at a first time point S after multiple historical time periods, based on channel feature data of the uplink reference signal received at multiple historical time periods.

[0101] Furthermore, based on the channel feature data of the uplink reference signal received at multiple historical time points, a channel feature prediction value for scheduling the terminal is obtained at the first time point. Then, the channel feature prediction value is inversely transformed to obtain a channel matrix prediction value for scheduling the terminal at the first time point.

[0102] Specifically, the channel feature prediction values ​​are inversely transformed using Equation 4 below, and the channel matrix prediction value for scheduling the terminal at the first time point S is obtained.

[0103]

number

[0104]

number

[0105] According to conventional Adaptive Modulation and Coding (AMC) algorithms, when a base station needs to initiate Dedicated Control Information (DCI) for an uplink data service scheduling control (MCS) to a terminal, the base station calculates the channel quality by applying the most recently measured uplink reference signal. However, since the time has already passed for the future uplink data service transmission, it is not possible to select an appropriate MCS. By employing the information prediction method according to the embodiments of this disclosure, the first network device transmits to the first node (base station) the uplink interference prediction value and / or channel matrix prediction value for terminal scheduling at a first time point, obtained by the above method. Based on the uplink interference prediction value and / or channel matrix prediction value, the base station can determine the uplink channel quality at the first time point, which is used to calculate the MCS value and ensure that the selected MCS value matches the channel quality at the time of uplink PUSCH data service transmission.

[0106] In one embodiment, the first node (base station) determines the uplink channel quality at the first time point based on the service transmission prediction information, The process includes determining the uplink channel quality at the first time point based on the predicted uplink interference value for scheduling the terminal at the first time point and the signal strength of the uplink reference signal received at the second time point.

[0107] Specifically, the base station employs a method of taking an average value in units of RB / RBG based on the uplink interference prediction value of the RB / RBG level at the first time point, and converting it into an average uplink interference prediction value or maximum uplink interference prediction value for each RB / RBG within a specific frequency domain of the scheduled terminal. This is used by the base station to calculate uplink channel quality.

[0108] As an example, a base station receives an uplink reference signal at time zone (n-μ)tti and needs to transmit uplink data service scheduling control information (DCI) to a terminal at time zone (n+Δ)tti. Assuming that the first time zone is (n+Δ)tti and the second time zone is (n-μ)tti, and the uplink channel quality calculated by the base station is SINR, the base station measures the uplink reference signal Y(n-μ) at the second time zone and obtains the useful signal strength S(n-μ) and signal-to-noise ratio UL_SINR(n-μ) at the RB / RBG level through channel estimation and baseband processing. Using the predicted uplink interference value for scheduling the terminal at the first time zone (n+Δ)tti, and the signal strength of the uplink reference signal received by the base station at the second time zone (n-μ)tti, the uplink channel quality UL_SINR(n+Δ) at the first time zone (n+Δ)tti is determined using Equation 5 below.

[0109]

number

[0110]

number

[0111] In this embodiment, in a scenario where the terminal is stationary or has a relatively low moving speed, the change in the reference signal strength S(n - μ) received by the base station is not significant. Therefore, the uplink channel quality at the first time point can be determined using the above formula 5.

[0112] As another embodiment, in a scenario where the terminal has a relatively high moving speed or the channel changes relatively quickly, in the step of the first node (base station) determining the uplink channel quality at the first time point based on the service transmission prediction information, Based on the channel matrix prediction value for scheduling the terminal at the first time point, determining the predicted signal strength of the uplink reference signal received from the terminal at the first time point; Based on the predicted signal strength and the uplink interference prediction value, determining the uplink channel quality at the first time point.

[0113] Specifically, based on the calculation process of the above formulas 1 to 4, the base station calculates the channel matrix prediction value H n+Δ (k, r, p) for scheduling the terminal at the first time point (n + Δ)tti, and further uses the following formula 6 to calculate the predicted signal strength S n+Δ (k, r) of the uplink reference signal transmitted by the terminal on each subcarrier received by the base station at the first time point (n + Δ)tti.

[0114]

Equation

[0115]

Equation

[0116] Furthermore, based on Equation 7, the average useful signal strength S(n+Δ) per RB / RBG of a specific frequency segment at (n+Δ)tti time for the scheduled terminal can be calculated, which is used to calculate the uplink channel quality (e.g., UL_SINR(n+Δ)) at (n+Δ)tti time.

[0117] Specifically, the uplink channel quality UL_SINR(n+Δ) at time (n+Δ)tti can be calculated through the following equation 8.

[0118]

number

[0119] In embodiments of this disclosure, optionally, the method may further be: The first node determines the uplink channel quality used to calculate the MCS value, based on the uplink channel quality at the first point in time and the uplink channel quality obtained by cumulatively calculating the results of multiple CRC checks.

[0120] Specifically, based on outer loop control, the uplink channel quality can be calculated by accumulating the results of multiple CRC checks. The uplink channel quality calculated by inner loop control can then be calibrated using the uplink channel quality calculated by outer loop control, thereby achieving the objective of reflecting the actual channel quality in a timely and accurate manner.

[0121] Here, if the CRC check result is positive, the uplink channel quality at the first time point calculated using the method described above can be increased by the first predetermined value, and if the CRC check result is negative, the uplink channel quality at the first time point calculated using the method described above can be decreased by the second predetermined value. By combining the CRC check result with the uplink channel quality at the first time point predicted using the method described above, the accurate uplink channel quality at the first time point can be determined.

[0122] Furthermore, in embodiments of this disclosure, the step of the first node determining the modulation and coding scheme (MCS) value to transmit the physical downlink control channel (PDCCH) to the terminal at a third time point based on the uplink channel quality at the first time point is: The process includes determining the correspondence between uplink channel quality (e.g., SINR) and MCS based on calculation or lookup table methods, and determining the MCS value to transmit a physical downlink control channel (PDCCH) to the terminal at a third time point.

[0123] After the MCS value is determined, the base station transmits the physical downlink control channel (PDCCH) to the terminal at the third time point.

[0124] By adopting this embodiment, the first network device performs a prediction of uplink interference prediction values ​​for terminal scheduling at a first time point based on the uplink interference information and channel matrix corresponding to a plurality of historical time points reported by the base station, and performs a prediction of channel matrix prediction values ​​for terminal scheduling at a first time point, transmits the predicted uplink interference prediction values ​​and / or channel matrix prediction values ​​to the base station, and the base station can determine the uplink channel quality at the first time point based on the acquired uplink interference prediction values ​​and / or channel matrix prediction values.

[0125] As another embodiment of the information prediction method according to the embodiments of this disclosure, a first node (base station) can predict uplink interference for scheduling a terminal at a first time point and acquire service transmission prediction information, that is, acquire uplink interference prediction values ​​and / or channel matrix prediction values ​​for scheduling a terminal at a first time point.

[0126] Specifically, the first node (base station) determines an uplink interference prediction value for scheduling the terminal at the first time point, based on the uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, within a plurality of historical time periods prior to the second time point, and / or The first node (base station) determines the channel matrix of the uplink reference signal received at multiple historical time points prior to the second time point, based on the historical channel data of the uplink reference signal received from the terminal at those multiple historical time points. The channel matrix of the uplink reference signal received at the multiple historical time periods is transformed, and the channel feature data of the uplink reference signal received at the multiple historical time periods is obtained. Based on the channel feature data of the uplink reference signal received at the multiple historical time points, the first node obtains channel feature prediction values ​​for scheduling the terminal at the first time point. The channel feature prediction value is inversely transformed to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0127] Here, a specific embodiment in which the first node (base station) predicts uplink interference for scheduling a terminal at a first time point and obtains the predicted uplink interference value and / or channel matrix value for scheduling the terminal at that first time point may be the same as a specific embodiment in which the first network equipment determines the predicted uplink interference value and / or channel matrix value for scheduling the terminal at that first time point, and will not be described again here.

[0128] In an embodiment of the present disclosure, a specific embodiment in which a first network device determines, based on the uplink interference information and the channel matrix, the base station determines the uplink interference prediction and / or channel matrix prediction for terminal scheduling at a first time point, includes the following steps, as shown in Figure 2.

[0129] In S201, the first network device (uplink interference prediction module) sends a first data subscription request to the base station, requesting it to subscribe to uplink interference information.

[0130] Specifically, it is used to request that each RB / RBG subscribe to the uplink interference value (RIP) or the interference-to-thermal noise ratio (IOT) received by each RB / RBG within the operating frequency band of the service cell where the terminal is located.

[0131] In S202, the base station periodically transmits multiple historical time RIPs and / or IOTs to the first network device based on the first data subscription request.

[0132] In S203, the first network device calculates a predicted uplink interference value for a first time point based on RIP and / or IOT data from multiple historical time periods, where the predicted uplink interference value for a first time point may be the RIP and / or IOT data received by each RB / RBG when scheduling terminals at the first time point. Specifically, by utilizing the training and inference process of an AI model, it is possible to obtain the RIP and / or IOT data received by each transmission resource block corresponding to the scheduling of terminals at the first time point.

[0133] In S204, the first network device transmits the uplink interference prediction value for that first time point to the base station.

[0134] In S205, the first network device (uplink interference prediction module) sends a second data subscription request to the base station, requesting it to subscribe to the user channel matrix.

[0135] In S206, the base station transmits a channel matrix to the first network device based on the second data subscription request transmitted from the first network device.

[0136] Optionally, the base station requests from the first network device a channel matrix corresponding to the uplink reference signal received from the terminal at multiple historical time points, or a channel matrix corresponding to the uplink reference signal transmitted by the terminal as statistical information at the current time. The channel matrix received for the uplink reference signal at each historical time point can form a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the scheduled terminal, M is the number of antennas at the base station, and P is the number of antennas at the terminal. It represents the channel matrix of the uplink reference signal transmitted on the k-th subcarrier at the multiple historical time points, transmitted from the terminal's p-th antenna to the base station's r-th antenna. k, p, and r are all integers greater than 0.

[0137] Specifically, based on Equation 1, the base station can determine the channel matrix corresponding to the uplink reference signal received from the terminal at multiple historical time points. The specific method for determining this matrix can be found in the detailed explanation above and will not be repeated here.

[0138] In S207, the first network device determines a predicted channel matrix value for scheduling the terminal at the first time point, based on the channel matrices corresponding to the uplink reference signals received from the terminal at multiple historical time points.

[0139] Specifically, the first network device can determine the predicted channel matrix value for terminal scheduling at the first time point based on equations 2 to 4 above, and the specific implementation process will not be described in detail here.

[0140] In S208, the first network device transmits the determined channel matrix prediction value for the first time point to the base station.

[0141] In S209, the base station determines the uplink channel quality of the terminal service scheduled at the first time point based on the uplink interference prediction value and channel matrix prediction value received at the first time point.

[0142] In S210, the base station selects the MCS based on the AMC extension algorithm, based on the determined uplink channel quality.

[0143] In S211, the base station transmits uplink scheduling control information to the terminal at the first time point based on the selected MCS.

[0144] In the embodiments of this disclosure, steps S205 to S208 described above can be completed in synchronization with steps S201 to S204, that is, the first data subscription request and the second data subscription request are the same request and are used to request simultaneous subscription of uplink interference information and user channel matrix, and the first network device can obtain uplink interference prediction values ​​and / or channel matrix prediction values ​​based on said request and transmit them synchronously to the base station.

[0145] As another embodiment of the adaptive modulation coding method according to the embodiments of this disclosure, the first network device includes a radio intelligent control platform in an Open Radio Access Network (O-RAN) architecture.

[0146] The wireless intelligent control platform interacts with the base station's E2 interface and has the following functions:

[0147] Data acquisition function: Used to receive uplink interference information received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, at multiple historical time points prior to the second time point transmitted by the base station, and the channel matrix corresponding to the uplink reference signal transmitted from the terminal at multiple historical time periods.

[0148] Data analysis and processing functions: Used to analyze and process acquired uplink interference information and channel matrices.

[0149] Model training and inference functions: Used to train predictive models, obtain predictive models, input analyzed and processed uplink interference information and channel matrices into predictive models, and obtain uplink interference predictions and / or channel matrix predictions for RB levels and / or RBG.

[0150] Furthermore, the wireless intelligent control platform transmits the acquired uplink interference prediction values ​​and / or channel matrix prediction values ​​to the base station via the E2 interface. The base station uses the AMC algorithm to analyze the uplink interference prediction values ​​and / or channel matrix prediction values, obtains the uplink channel quality at the first time point, and determines the MCS value at the first time point to which uplink scheduling control information should be transmitted to the terminal.

[0151] In this embodiment, optionally, the wireless intelligent control platform includes a Near-Real-Time (Near-RT) Radio Access Network Intelligent Controller (RIC) platform and an xAPP platform. The xAPP platform is used to implement interference prediction and sends data subscription requests to the Near-RT RIC platform via the RIC Application Programming Interface (API). The Near-RT RIC platform further forwards these data subscription requests to base stations via the E2 interface.

[0152] By adopting this embodiment, the Near-RT RIC and the base station's E2 interface are extended to enable the Near-RT RIC to subscribe to and receive uplink interference and channel matrix data. Based on the Near-RT RIC / xAPP, it is possible to train uplink interference and channel matrix prediction models and perform real-time inference of the models. The E2 interface is extended to allow the Near-RT RIC to transmit uplink interference and channel matrix prediction values ​​to the base station. This makes it easier for the base station to improve the accuracy of channel quality predictions, select a more appropriate MCS, and meet the high reliability and low latency requirements of wireless networks for services such as Ultra-Reliable Low Latency Communications (uRLLC).

[0153] Figure 3 is a schematic flowchart of one embodiment employing the adaptive coding method according to the present disclosure. The specific implementation process of this embodiment includes the following steps.

[0154] In S301, the xAPP platform sends the first data subscription request to the Near-RT RIC platform via the RIC API.

[0155] In S302, the Near-RT RIC platform forwards the first data subscription request to the base station via the E2 interface.

[0156] Here, the first data subscription request is used to request that uplink interference information be subscribed to.

[0157] Specifically, it is used to request that each RB / RBG subscribe to the uplink interference value (RIP) or the interference-to-thermal noise ratio (IOT) received by each RB / RBG within the operating frequency band of the service cell where the terminal is located.

[0158] In S303, the Near-RT RIC platform sends the first subscription success information to the xAPP platform.

[0159] In S304, the base station periodically transmits multiple historical RIP and / or IOT (uplink interference information) to the Near-RT RIC platform based on the first data subscription request.

[0160] Here, the base station transmits this RIP and / or IOT to the Near-RT RIC platform via the E2 interface.

[0161] In S305, the Near-RT RIC platform sends the RIP and / or IOT to the xAPP platform via the RIC API interface.

[0162] In S306, the xAPP platform calculates a first-time uplink interference prediction based on RIP and / or IOT data from multiple historical time points. Here, the first-time uplink interference prediction may be the RIP and / or IOT data received by each RB / RBG when scheduling a terminal at the first time point. Specifically, the AI ​​model training and inference process can be used to obtain the RIP and / or IOT data received by each transmission resource block corresponding to the scheduling of a terminal at the first time point.

[0163] In S307, the xAPP platform transmits the uplink interference prediction value to the Near-RT RIC platform via the RIC API interface.

[0164] In S308, the Near-RT RIC platform transmits the uplink interference prediction to the base station via the E2 interface.

[0165] In S309, the base station feeds back the first reception acknowledgment information to the Near-RT RIC platform.

[0166] In S310, the xAPP platform sends a second data subscription request to the Near-RT RIC platform via the RIC API.

[0167] In S311, the Near-RT RIC platform forwards the second data subscription request to the base station via the E2 interface.

[0168] Here, the second data subscription request is used to request that the user channel matrix be subscribed to.

[0169] In S312, the Near-RT RIC platform sends second subscription success information to the xAPP platform.

[0170] In S313, the base station transmits the channel matrix to the Near-RT RIC platform based on the second data subscription request.

[0171] Optionally, the base station requests the Near-RT RIC platform a channel matrix corresponding to the uplink reference signal transmitted from the terminal over multiple historical time periods, or a channel matrix corresponding to the uplink reference signal transmitted by the terminal as statistical information at the current time. The channel matrix received for the uplink reference signal at each historical time period can form a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the scheduled terminal, M is the number of antennas at the base station, and P is the number of antennas at the terminal. It represents the channel matrix of the uplink reference signal transmitted on the k-th subcarrier over the multiple historical time periods, transmitted from the terminal's p-th antenna to the base station's r-th antenna. k, p, and r are all integers greater than 0.

[0172] Specifically, based on Equation 1, the base station can determine the channel matrix corresponding to the uplink reference signal received from the terminal at multiple historical time points. The specific method for determining this matrix can be found in the detailed explanation above and will not be repeated here.

[0173] In S314, the Near-RT RIC platform transmits the channel matrix to the xAPP platform via the RIC API interface.

[0174] In S315, the xAPP platform determines a predicted channel matrix value for scheduling the terminal at the first time point, based on the channel matrices corresponding to the uplink reference signals received from the terminal at multiple historical time points.

[0175] Specifically, the xAPP platform can determine the predicted channel matrix values ​​for terminal scheduling at the first time point based on equations 2 to 4 above, and the specific implementation process will not be described in detail here.

[0176] In S316, the xAPP platform transmits the channel matrix prediction values ​​to the Near-RT RIC platform via the RIC API interface.

[0177] In S317, the Near-RT RIC platform transmits the channel matrix prediction to the base station via the E2 interface.

[0178] In S318, the base station feeds back the second reception acknowledgment information to the Near-RT RIC platform.

[0179] In S319, the base station determines the uplink channel quality of the terminal service scheduled at the first time point based on the uplink interference prediction value and channel matrix prediction value received at the first time point.

[0180] In S320, the base station selects the MCS based on the AMC extension algorithm, based on the determined uplink channel quality.

[0181] In S321, the base station transmits uplink scheduling control information to the terminal at the first time point based on the selected MCS.

[0182] In the embodiments of this disclosure, steps S310 to S318 described above may be steps performed synchronously with steps S301 to S309, i.e., the first data subscription request and the second data subscription request are the same request and are used to request simultaneous subscription of uplink interference information and user channel matrix, and the xAPP platform can obtain uplink interference prediction values ​​and / or channel matrix prediction values ​​based on this request and transmit them synchronously to the base station via the Near-RT RIC platform.

[0183] In embodiments of this disclosure, the embodiment for determining the uplink interference prediction value and channel matrix prediction value is the same as the embodiment in which the base station performs the information prediction method to determine the uplink interference prediction value and channel matrix prediction value, and will not be described again here.

[0184] One embodiment of this disclosure also provides an information prediction method performed by a first node. As shown in Figure 4, the method includes the following steps.

[0185] In S410, after acquiring the terminal's uplink reference signal at the second time point, the first node acquires service transmission prediction information for scheduling the terminal at the first time point, and this service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, where the first time point is located after the second time point.

[0186] In S420, the uplink channel quality at the first point in time is determined based on the service transmission prediction information.

[0187] Optionally, the first node may be, but is not limited to, a base station.

[0188] By employing the information prediction method according to this embodiment, the first network device can obtain uplink interference prediction values ​​and / or channel matrix prediction values ​​for terminal service scheduling at a first time point after a second time point in time when the base station receives the uplink reference signal, and transmit the obtained uplink interference prediction values ​​and / or channel matrix prediction values ​​to the first node. The first node then uses the determined uplink channel quality to calculate the MCS value and ensures that the selected MCS value matches the channel quality at the time of uplink push data service transmission.

[0189] Compared to related technologies, a problem exists in that when a base station measures uplink channel quality before a first time point and schedules uplink push data service transmission after the first time point, the channel quality changes, and the selected MCS value does not match the channel quality at the time of uplink push data service transmission. However, by employing the information prediction method according to the embodiment of this disclosure, the base station can determine the uplink channel quality at a first time point based on the uplink interference prediction value and / or channel matrix prediction value of the terminal service scheduling at a first time point after a second time point in which the uplink reference signal is acquired. This can be used in the MCS value calculation, and it is ensured that the selected MCS value matches the channel quality at the time of uplink push data service transmission.

[0190] As an option, in the information prediction method, the method further: The process includes determining a modulation and coding scheme (MCS) value for transmitting a physical downlink control channel to the terminal, based on the uplink channel quality at the first point in time.

[0191] As an option, in the information prediction method, the method further: A step of receiving a subscription request transmitted from a first network device, wherein the subscription request is used to request that the first node subscribe to measurement information corresponding to the terminal acquired in the historical time before the second point in time, The steps include: transmitting first information to the first network device based on the subscription request, wherein the first information includes the measurement information; Here, the step of the first node obtaining service transmission prediction information for terminal scheduling at the first time point is: The process includes the step of obtaining the service transmission prediction information transmitted by the first network device based on the first information.

[0192] Optionally, in the information prediction method, the subscription request may include one or more of the following: identification information of the subscribed terminal, subscription content, and reporting method. Here, the subscription content includes the measurement information for which subscription is requested, and the measurement information includes uplink interference and / or channel matrix.

[0193] Optionally, the information prediction method may include periodic reporting.

[0194] Optionally, in the information prediction method, the historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0195] Optionally, in the information prediction method, the step of transmitting first information to the first network device based on the subscription request is: The process includes the step of transmitting the first information to the first network device using the reporting method based on the subscription request.

[0196] Optionally, in the information prediction method, the measurement information includes uplink interference, and the uplink interference required by the subscription content is the uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, over multiple historical time periods. The measurement information includes a channel matrix, and the channel matrix required by the subscription is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0197] Optionally, in the information prediction method, the uplink interference received on each transmission resource block includes the uplink interference value RIP received on each transmission resource block and / or the interference-to-thermal noise ratio (IOT) received on each transmission resource block.

[0198] Optionally, in the information prediction method described above, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal.

[0199] Optionally, in the information prediction method, the service transmission prediction information includes uplink interference prediction values, and the step of the first node obtaining uplink interference prediction values ​​for terminal scheduling at a first time point is: The process includes determining an uplink interference prediction value for scheduling the terminal at the first time point, based on uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, during a plurality of historical time periods prior to the second time point.

[0200] Optionally, in the information prediction method, the service transmission prediction information includes channel matrix prediction values, and the step of the first node obtaining channel matrix prediction values ​​for terminal scheduling at a first time point is: The steps include determining the channel matrix in which the uplink reference signal was received at multiple historical time points prior to the second time point, based on the historical channel data of the uplink reference signal received from the terminal at those multiple historical time points, The steps include transforming the channel matrix of the uplink reference signal received at the multiple historical time periods and obtaining channel feature data of the uplink reference signal received at the multiple historical time periods, The steps include: obtaining channel feature prediction values ​​for scheduling the terminal at a first time point based on the channel feature data of the uplink reference signal received at multiple historical time points; The process includes the step of inversely transforming the channel feature prediction value to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0201] By adopting this embodiment, on the one hand, the first node (base station) can predict uplink interference for scheduling terminals at a first time point and acquire service transmission prediction information, that is, it can acquire uplink interference prediction values ​​and / or channel matrix prediction values ​​for scheduling terminals at a first time point.

[0202] Optionally, in the information prediction method, the step of determining the uplink channel quality at the first time point based on the service transmission prediction information is: The process includes determining the uplink channel quality at the first time point based on the uplink interference prediction value for which the first node schedules the terminal at the first time point, and the signal strength of the uplink reference signal received by the first node at the second time point.

[0203] Optionally, in the information prediction method, the step of determining the uplink channel quality at the first time point based on the service transmission prediction information is: The first node determines the predicted signal intensity of the uplink reference signal to be received from the terminal at the first time point, based on the predicted channel matrix value for scheduling the terminal at the first time point. The process includes the step of determining the uplink channel quality at the first time point based on the predicted signal intensity and the predicted uplink interference value.

[0204] Specific embodiments of the information prediction method according to the embodiments of this disclosure applied to a first node can be found in the detailed description of the specific embodiments applied to a first network device, and will not be repeated here.

[0205] One embodiment of the present disclosure further provides a network device. The network device is a first network device, and as shown in Figure 5, the first network device 500 includes a processor 510 and a transceiver 520, wherein the transceiver 520 is It is used to transmit service transmission prediction information for terminal scheduling at a first time point to the first node. This service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values. Here, the first time point is located after the second time point, which is the time when the first node receives the uplink reference signal transmitted from the terminal.

[0206] As an option, the transceiver 520 in the network equipment further... Sending a subscription request to the first node, which is used to request that the first node subscribe to the measurement information corresponding to the terminal acquired in the historical time before the second point in time, The first node receives first information transmitted based on the subscription request, wherein the first information includes the measurement information, and is used to perform the following:

[0207] The processor 510 is used to determine the service transmission prediction information based on the first information.

[0208] Optionally, in the network equipment, the subscription request may include one or more of the following: identification information of the subscribed terminal, subscription details, and reporting method. Here, the subscription details include the measurement information for which the subscription is requested, and the measurement information includes uplink interference and / or channel matrix.

[0209] Optionally, the reporting method for the network equipment may include periodic reporting.

[0210] Optionally, in the network equipment, the history time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0211] Optionally, in the network equipment, the transceiver 520 may receive the first information transmitted by the first node based on the subscription request. Receiving first information transmitted to the first network device using the reporting method based on the subscription request, wherein the first information includes the subscription details.

[0212] Optionally, in the network equipment, the measurement information includes uplink interference, and the uplink interference required by the subscription is the uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, over multiple historical time periods. The measurement information includes a channel matrix, and the channel matrix required by the subscription is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0213] Optionally, in the network equipment, the uplink interference received on each transmission resource block includes the uplink interference value RIP received on each transmission resource block and / or the interference-to-thermal noise ratio (IOT) received on each transmission resource block.

[0214] Optionally, in the network equipment, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal.

[0215] Optionally, in the network device, the processor 510 may determine the service transmission prediction information based on the first information. This includes the first node determining an uplink interference prediction value for terminal scheduling at a first time point based on the uplink interference, and / or the first node determining a channel matrix prediction value for terminal scheduling at a first time point based on the channel matrix.

[0216] Optionally, in the network device, the processor 510 determines the predicted channel matrix value for terminal scheduling at the first time point based on the channel matrix, The channel matrix of the uplink reference signal received at multiple historical time points is transformed, and channel feature data of the uplink reference signal received at those multiple historical time points is obtained. Based on the channel feature data of the uplink reference signal received at multiple historical time points, the first node obtains channel feature prediction values ​​for scheduling the terminal at the first time point, and This includes inversely transforming the channel feature prediction value to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0217] One embodiment of the present disclosure further provides a node device, which is a first node, and as shown in Figure 6, the first node 600 includes a transceiver 610 and a processor 620. The transceiver 610, after acquiring the terminal's uplink reference signal at a second time point, is used by the first node to acquire service transmission prediction information for scheduling the terminal at the first time point. This service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values. Here, the first time point is located after the second time point.

[0218] The processor 620 is used to determine the uplink channel quality at the first time point based on the service transmission prediction information.

[0219] As an option, in the node device, the processor 620 further This is used to determine the modulation and coding scheme (MCS) value for transmitting the physical downlink control channel to the terminal, based on the uplink channel quality at the first point in time.

[0220] As an option, the transceiver 610 in the node equipment further Receiving a subscription request transmitted from a first network device, the subscription request being used to request that the first node subscribe to measurement information corresponding to the terminal acquired in the historical time before the second point in time, To perform the following actions based on the subscription request, the first information is transmitted to the first network device, the first information being said to include the measurement information, Here, the transceiver 610 acquires service transmission prediction information for terminal scheduling at the first time point in time, This includes obtaining the service transmission prediction information transmitted by the first network device based on the first information.

[0221] Optionally, on the node device, the subscription request may include one or more of the following: the identification information of the subscribed terminal, the subscription details, and the reporting method. Here, the subscription details include the measurement information for which the subscription is requested, and the measurement information includes uplink interference and / or channel matrix.

[0222] Optionally, the reporting method for the node device may include periodic reporting.

[0223] Optionally, in the node device, the historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0224] Optionally, in the node device, the transceiver 610 may transmit the first information to the first network device based on the subscription request. This includes transmitting the first information to the first network device using the reporting method based on the subscription request.

[0225] Optionally, in the node equipment, the measurement information includes uplink interference, and the uplink interference required by the subscription is the uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, over multiple historical time periods. The measurement information includes a channel matrix, and the channel matrix required by the subscription is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0226] Optionally, in the node equipment, the uplink interference received on each transmission resource block includes the uplink interference value RIP received on each transmission resource block and / or the interference-to-thermal noise ratio (IOT) received on each transmission resource block.

[0227] Optionally, in the node device, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the terminal's operating frequency domain, P is the number of antennas in the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal.

[0228] Optionally, in the node equipment, the service transmission prediction information includes uplink interference prediction values, and the transceiver 610 obtains the uplink interference prediction values ​​for terminal scheduling at the first node at the first time point. This includes determining an uplink interference prediction value for scheduling the terminal at the first time point, based on uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, within a plurality of historical time periods prior to the second time point.

[0229] Optionally, in the node equipment, the service transmission prediction information includes channel matrix prediction values, and the transceiver 610 obtains channel matrix prediction values ​​for terminal scheduling at the first node at the first time point. Based on the historical channel data of the uplink reference signal received from the terminal at multiple historical time points prior to the second time point, the channel matrix in which the uplink reference signal was received at those multiple historical time points is determined. The channel matrix of the uplink reference signal received at the multiple historical time points is transformed, and channel feature data of the uplink reference signal received at the multiple historical time points is obtained. Based on the channel feature data of the uplink reference signal received at multiple historical time points, the first node obtains channel feature prediction values ​​for scheduling the terminal at the first time point, This includes inversely transforming the channel feature prediction value to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0230] Optionally, in the node equipment, the processor 620 may determine the uplink channel quality at the first time point based on the service transmission prediction information. This includes determining the uplink channel quality at the first time point based on the uplink interference prediction value that the first node uses to schedule the terminal at the first time point, and the signal strength of the uplink reference signal received by the first node at the second time point.

[0231] Optionally, in the node equipment, the processor 620 may determine the uplink channel quality at the first time point based on the service transmission prediction information. The first node determines the predicted signal intensity of the uplink reference signal to be received from the terminal at the first time point, based on the predicted channel matrix value for scheduling the terminal at that first time point. This includes determining the uplink channel quality at the first time point based on the predicted signal intensity and the predicted uplink interference value.

[0232] One embodiment of the present disclosure further provides an information prediction device, which is applied to a first network device and includes an information transmission module 710, as shown in Figure 7.

[0233] The information transmission module 710 is configured to transmit service transmission prediction information for terminal scheduling at the first time point to the first node. The service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value. Here, the first time point is located after the second time point, and the second time point is the time when the first node acquires the uplink reference signal transmitted from the terminal.

[0234] Optionally, in the information prediction device, the device further includes a request transmission module 720, an information reception module 730, and a processing module 740.

[0235] The request transmission module 720 is configured to transmit a subscription request to the first node. The subscription request is used to request subscribing to the measurement information corresponding to the terminal acquired by the first node at the historical time before the second time point.

[0236] The information reception module 730 is configured to receive the first information transmitted by the first node based on the subscription request. Here, the first information includes the measurement information.

[0237] The processing module 740 is configured to determine the service transmission prediction information based on the first information.

[0238] Optionally, in the information prediction device, the subscription request can include one or more of the identification information of the subscribed terminal, the subscription content, and the reporting method. Here, the subscription content includes the measurement information for which the subscription is requested, and the measurement information includes uplink interference and / or a channel matrix.

[0239] Optionally, in the information prediction device, the reporting method includes periodic reporting.

[0240] Optionally, in the information prediction device, the historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0241] Optionally, in the information prediction device, the information receiving module 730 may receive the first information transmitted by the first node based on the subscription request. This includes receiving first information transmitted to the first network device using the reporting method based on the subscription request, wherein the first information includes the subscription details.

[0242] Optionally, in the information prediction device, the measurement information includes uplink interference, and the uplink interference required by the subscription is the uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, over multiple historical time periods.

[0243] The measurement information includes a channel matrix, and the channel matrix required by the subscription is the channel matrix of the uplink reference signal received by the first node at multiple historical time points.

[0244] Optionally, in the information prediction device, the uplink interference received on each transmission resource block includes the uplink interference value RIP received on each transmission resource block and / or the interference-to-thermal noise ratio (IOT) received on each transmission resource block.

[0245] Optionally, in the information prediction device, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal.

[0246] As an option, in the information prediction device, the processing module 740 determines the service transmission prediction information based on the first information. This includes the first node determining an uplink interference prediction value for terminal scheduling at a first time point based on the uplink interference, and / or the first node determining a channel matrix prediction value for terminal scheduling at a first time point based on the channel matrix.

[0247] Optionally, in the information prediction device, the processing module 740 determines the predicted channel matrix value for terminal scheduling at the first time point based on the channel matrix, This involves transforming the channel matrix of the uplink reference signal received at multiple historical time points and obtaining the channel feature data of the uplink reference signal received at those multiple historical time points, Based on the channel feature data of the uplink reference signal received at multiple historical time points, the first node obtains channel feature prediction values ​​for scheduling the terminal at the first time point, This includes inversely transforming the channel feature prediction value to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0248] One embodiment of the present disclosure also provides an information prediction device. Applicable to a first node, as shown in Figure 8, the device includes an information acquisition module 810 and a decision module 820.

[0249] The information acquisition module 810 is configured to acquire the terminal's uplink reference signal at a second time point, after which the first node acquires service transmission prediction information for scheduling the terminal at that first time point. This service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values. Here, the first time point is located after the second time point.

[0250] The decision module 820 is configured to determine the uplink channel quality at the first time point in time based on the service transmission prediction information.

[0251] As an option, the decision module 820 in the information prediction device further: The system is configured to determine the modulation and coding scheme (MCS) value for transmitting the physical downlink control channel to the terminal based on the uplink channel quality at the first point in time.

[0252] Optionally, the information prediction device further includes a request receiving module 830 and an information transmission module 840.

[0253] The request receiving module 830 is configured to receive subscription requests sent from the first network device. The subscription request is used to request that the first node subscribe to measurement information corresponding to the terminal acquired in the historical time period prior to the second point in time.

[0254] The information transmission module 840 is configured to transmit first information to the first network device based on the subscription request. The first information includes the measurement information.

[0255] Here, the information acquisition module 810 acquires service transmission prediction information for terminal scheduling at the first time point in time, This includes obtaining the service transmission prediction information transmitted by the first network device based on the first information.

[0256] As an option, in the information prediction device, the subscription request may include one or more of the identification information of the subscribed terminal, the subscription content, and the reporting method. Here, the subscription content includes the measurement information requested for the subscription, and the measurement information includes uplink interference and / or a channel matrix.

[0257] As an option, in the information prediction device, the reporting method includes periodic reporting.

[0258] As an option, in the information prediction device, the historical time includes the reporting period before the current reporting period and / or the time between the previous reporting period and the current reporting period.

[0259] As an option, in the information prediction device, the information transmission module 840 transmitting the first information to the first network device based on the subscription request includes transmitting the first information to the first network device using the reporting method based on the subscription request.

[0260] [[ID=)18]]As an option, in the information prediction device, the measurement information includes uplink interference, and the uplink interference requested by the subscription content is the uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located at a plurality of the historical times.

[0261] The measurement information includes a channel matrix, and the channel matrix requested by the subscription content is the channel matrix of the uplink reference signal received by the first node at a plurality of historical times.

[0262] Optionally, in the information prediction device, the uplink interference received on each transmission resource block includes the uplink interference value RIP received on each transmission resource block and / or the interference-to-thermal noise ratio (IOT) received on each transmission resource block.

[0263] Optionally, in the information prediction device, the channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted from the terminal.

[0264] Optionally, in the information prediction device, the service transmission prediction information includes uplink interference prediction values, and the information acquisition module 810 acquires uplink interference prediction values ​​for terminal scheduling at the first node at the first time point. This includes determining an uplink interference prediction value for scheduling the terminal at the first time point, based on uplink interference received on each transmission resource block within the operating frequency band of the service cell where the terminal is located, within a plurality of historical time periods prior to the second time point.

[0265] Optionally, in the information prediction device, the service transmission prediction information includes channel matrix prediction values, and the information acquisition module 810 acquires channel matrix prediction values ​​for terminal scheduling at the first node at the first time point. Based on the historical channel data of the uplink reference signal received from the terminal at multiple historical time points prior to the second time point, the channel matrix in which the uplink reference signal was received at those multiple historical time points is determined. The channel matrix of the uplink reference signal received at the multiple historical time points is transformed, and channel feature data of the uplink reference signal received at the multiple historical time points is obtained. Based on the channel feature data of the uplink reference signal received at multiple historical time points, the first node obtains channel feature prediction values ​​for scheduling the terminal at the first time point, This includes inversely transforming the channel feature prediction value to obtain the channel matrix prediction value for the first node to schedule the terminal at the first time point.

[0266] Optionally, in the information prediction device, the decision module 820 may determine the uplink channel quality at the first time point based on the service transmission prediction information. This includes determining the uplink channel quality at the first time point based on the uplink interference prediction value that the first node uses to schedule the terminal at the first time point, and the signal strength of the uplink reference signal received by the first node at the second time point.

[0267] Optionally, in the information prediction device, the decision module 820 may determine the uplink channel quality at the first time point based on the service transmission prediction information. The first node determines the predicted signal intensity of the uplink reference signal to be received from the terminal at the first time point, based on the predicted channel matrix value for scheduling the terminal at that first time point. This includes determining the uplink channel quality at the first time point based on the predicted signal intensity and the predicted uplink interference value.

[0268] One embodiment of the present disclosure further provides a network device, which includes a processor, memory, and a program stored in the memory and executable on the processor, which, when executed by the processor, implements the information prediction method described in any one of the above paragraphs.

[0269] Here, the network device is the first node or first network device described above, and the fact that a program running on the processor executes a specific embodiment of the information prediction method can be found in the detailed description of when the information prediction method is applied to the network device, which will not be repeated here.

[0270] Furthermore, specific embodiments of the present disclosure further provide a readable storage medium on which a computer program is stored, wherein when the program is executed by a processor, the steps of the information prediction method described in any one of the above paragraphs are realized.

[0271] Specifically, this readable storage medium is applied to the first node or first network equipment described above. When applied to a base station or first network equipment, the execution steps in the corresponding adaptive modulation coding method are as described in detail above and will not be repeated here.

[0272] In some embodiments provided by this disclosure, it should be understood that the methods and apparatus described may be implemented in other ways. For example, the embodiments of the apparatus described above are merely illustrative, and the division of units is merely a division of logical functions, and other methods of division may exist in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Another point is that the mutual combinations, direct combinations or communication connections shown or discussed may be indirect combinations or communication connections via some interface, apparatus or unit, and may be electrical, mechanical or otherwise.

[0273] Furthermore, each functional unit in each embodiment of the present disclosure may be integrated into a single processing unit, or each unit may exist individually physically, or two or more units may be integrated into a single unit. The integrated unit described above may be implemented in hardware form, or in the form of a hardware and software functional unit.

[0274] The integrated unit, implemented in the form of the software function unit described above, may be stored in a computer-readable storage medium. The storage of the software function unit in the storage medium means that it contains a set of instructions causing a computer device (which may be a personal computer, server, or network device, etc.) to perform some or all of the steps of the transmission and reception methods described in each embodiment of this disclosure. The aforementioned storage mediums include a variety of media capable of storing program code, such as U disks, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0275] The foregoing describes preferred embodiments of the Disclosure, and it should be noted that those skilled in the art can make several improvements and modifications, provided they do not deviate from the principles of the Disclosure, and these improvements and modifications should also be considered within the scope of the Disclosure.

Claims

1. An information prediction method performed by a first network device, Information prediction method comprising the step of transmitting service transmission prediction information to a first node for scheduling a terminal at a first time point, wherein the service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, the first time point is located after a second time point, the second time point being the time when the first node obtains an uplink reference signal transmitted from a terminal.

2. The aforementioned information prediction method further, A step of sending a subscription request to the first node, wherein the subscription request is used to request that the first node subscribe to measurement information corresponding to the terminal, which was acquired in the historical time before the second time point. A step of receiving first information transmitted by the first node based on the subscription request, wherein the first information includes the measurement information, The step of determining the service transmission prediction information based on the first information includes, The information prediction method according to claim 1.

3. The subscription request includes one or more of the following: identification information of the subscribed terminal, subscription content, and reporting method, the subscription content includes the measurement information for which subscription is requested, and the measurement information includes uplink interference and / or channel matrix. The information prediction method according to claim 2.

4. The aforementioned reporting method includes periodic reporting, The information prediction method according to claim 3.

5. The aforementioned historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle. The information prediction method according to claim 2.

6. The step of receiving the first information transmitted by the first node based on the subscription request is: The process includes receiving first information transmitted by the first node to the first network device in the reporting format based on the subscription request, wherein the first information includes the subscription content. The information prediction method according to claim 3.

7. If the measurement information includes uplink interference, the uplink interference required by the subscription is the uplink interference received for each transmission resource block within the operating frequency band of the service cell where the terminal is located, over a plurality of historical time periods. If the measurement information includes a channel matrix, the channel matrix required by the subscription content is the channel matrix of the uplink reference signal received by the first node at multiple historical time points. The information prediction method according to claim 3.

8. The uplink interference received for each transmission resource block includes the uplink interference value RIP (Received Interference Power) and / or the interference rise value IOT (Interference Over Thermal) received for each transmission resource block. The information prediction method according to claim 7.

9. The channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted by the terminal. The information prediction method according to claim 7.

10. The step of determining the service transmission prediction information based on the first information is: The process includes the steps of determining an uplink interference prediction value for the first node to schedule a terminal at a first time point based on the uplink interference, and / or determining a channel matrix prediction value for the first node to schedule a terminal at a first time point based on the channel matrix, The information prediction method according to claim 6.

11. The step of determining the predicted channel matrix value for the first node to schedule a terminal at a first time point based on the channel matrix is: The steps include transforming the channel matrix of the uplink reference signal received at multiple historical time points and obtaining channel feature data of the uplink reference signal received at those multiple historical time points, The steps include obtaining a channel feature prediction value for which the first node schedules a terminal at a first time point, based on the channel feature data of the uplink reference signal received at the plurality of historical time points, The steps include: inversely transforming the channel feature prediction values ​​to obtain the channel matrix prediction values ​​for the first node to schedule the terminal at a first time point; The information prediction method according to claim 10.

12. An information prediction method performed by the first node, The steps include: acquiring the terminal's uplink reference signal at a second time point, and then the first node acquiring predictive information for scheduling the terminal's service transmission at the first time point, wherein the service transmission predictive information includes uplink interference prediction values ​​and / or channel matrix prediction values, and the first time point is located after the second time point; An information prediction method comprising the step of determining the uplink channel quality at a first time point based on the service transmission prediction information.

13. The aforementioned information prediction method further, The step includes determining the modulation and coding scheme (MCS) value of the physical downlink control channel to be transmitted to the terminal based on the uplink channel quality at the first time point, The information prediction method according to claim 12.

14. The aforementioned information prediction method further, A step of receiving a subscription request transmitted from a first network device, wherein the subscription request is used to request that the first node subscribe to measurement information corresponding to the terminal, which was acquired in the historical time before the second time point. The steps include: transmitting first information to the first network device based on the subscription request, wherein the first information includes the measurement information; The step of the first node obtaining predictive information for scheduling service transmission to a terminal at a first time point in time is: The step includes obtaining the service transmission prediction information transmitted from the first network device based on the first information, The information prediction method according to claim 12.

15. The subscription request includes one or more of the following: identification information of the subscribed terminal, subscription content, and reporting method, the subscription content includes the measurement information for which subscription is requested, and the measurement information includes uplink interference and / or channel matrix. The information prediction method according to claim 14.

16. The aforementioned reporting method includes periodic reporting, The information prediction method according to claim 15.

17. The aforementioned historical time includes the reporting cycle prior to the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle. The information prediction method according to claim 14.

18. The step of transmitting first information to the first network device based on the subscription request is: The step includes transmitting the first information to the first network device using the reporting method based on the subscription request, The information prediction method according to claim 15.

19. If the measurement information includes uplink interference, the uplink interference required by the subscription is the uplink interference received for each transmission resource block within the operating frequency band of the service cell where the terminal is located, over a plurality of historical time periods. If the measurement information includes a channel matrix, the channel matrix required by the subscription content is the channel matrix of the uplink reference signal received by the first node at multiple historical time points. The information prediction method according to claim 15.

20. The uplink interference received for each transmission resource block includes the uplink interference value RIP and / or the interference rise value IOT received for each transmission resource block. The information prediction method according to claim 19.

21. The channel matrix is ​​a K × M × P dimension matrix, where K is the number of subcarriers in the operating frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas on the receiving end of the uplink reference signal transmitted by the terminal. The information prediction method according to claim 19.

22. If the service transmission prediction information includes uplink interference prediction values, the step of the first node obtaining the uplink interference prediction values ​​for scheduling a terminal at a first time point is: The process includes the step of determining an uplink interference prediction value for scheduling the terminal at the first time point, based on the uplink interference received for each transmission resource block within the operating frequency band of the service cell where the terminal is located, within a plurality of historical time periods prior to the second time point. The information prediction method according to claim 12.

23. If the service transmission prediction information includes channel matrix prediction values, the step of the first node obtaining channel matrix prediction values ​​for scheduling terminals at a first time point is: The steps include determining the channel matrix of the uplink reference signal received at a plurality of historical time periods based on the historical channel data of the uplink reference signal received from the terminal at a plurality of historical time periods prior to the second time period, The steps include: transforming the channel matrix of the uplink reference signal received at the plurality of historical time periods and obtaining channel feature data of the uplink reference signal received at the plurality of historical time periods; The steps include obtaining a channel feature prediction value for which the first node schedules a terminal at a first time point, based on the channel feature data of the uplink reference signal received at the plurality of historical time points, The steps include: inversely transforming the channel feature prediction values ​​to obtain the channel matrix prediction values ​​for the first node to schedule the terminal at a first time point; The information prediction method according to claim 12.

24. The step of determining the uplink channel quality at the first time point based on the service transmission prediction information is: The process includes determining the uplink channel quality at a first time point based on the uplink interference prediction value when the first node schedules the terminal at a first time point, and the signal strength of the uplink reference signal received by the first node at a second time point. The information prediction method according to claim 12.

25. The step of determining the uplink channel quality at the first time point based on the service transmission prediction information is: The steps include determining the predicted signal intensity of the uplink reference signal that the first node will receive from the terminal at the first time, based on the predicted channel matrix value when the first node schedules the terminal at the first time; The step of determining the uplink channel quality at a first time point based on the predicted signal intensity and the predicted uplink interference value includes: The information prediction method according to claim 12.

26. A network device equipped with a transceiver, wherein the network device is a first network device, Network equipment, wherein the transceiver is used to transmit service transmission prediction information to a first node for scheduling a terminal at a first time point, the service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, the first time point is located after a second time point, the second time point being the time when the first node acquires an uplink reference signal transmitted from a terminal.

27. A node device comprising a transceiver and a processor, wherein the node device is a first node, The transceiver is used to obtain predictive information for the first node to schedule service transmissions of the terminal at the first time point, after acquiring the terminal's uplink reference signal at the second time point, the service transmission predictive information includes uplink interference prediction values ​​and / or channel matrix prediction values, and the first time point is located after the second time point. The processor is a node device used to determine the uplink channel quality at the first time point based on the service transmission prediction information.

28. An information prediction device applicable to a first network device, An information prediction device comprising a first node, an information transmission module configured to transmit service transmission prediction information for scheduling a terminal at a first time point, wherein the service transmission prediction information includes uplink interference prediction values ​​and / or channel matrix prediction values, the first time point is located after a second time point, the second time point being the time when the first node acquires an uplink reference signal transmitted from a terminal.

29. An information prediction device applied to the first node, An information acquisition module configured such that, after acquiring the terminal's uplink reference signal at a second time point, the first node acquires predictive information for scheduling the terminal's service transmission at the first time point, wherein the service transmission predictive information includes uplink interference prediction values ​​and / or channel matrix prediction values, and the first time point is located after the second time point, An information prediction device comprising: a determination module configured to determine the uplink channel quality at a first time point based on the service transmission prediction information.

30. A network device comprising a processor, memory, and a program stored in the memory and executable on the processor, A network device that, when the program is executed by the processor, implements the steps of the information prediction method described in any one of claims 1 to 11, or the information prediction method described in any one of claims 12 to 25.

31. A readable storage medium in which a program is stored, A readable storage medium that, when the program is executed by the processor, causes the processor to perform the steps of the information prediction method described in any one of claims 1 to 11, or the steps of the information prediction method described in any one of claims 12 to 25.

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