Information prediction method and apparatus, network device, and node device

Abstract

The present application provides an information prediction method and apparatus, a network device, and a node device. The method comprises: sending service transmission prediction information of a scheduling terminal at a first moment to a first node, wherein the service transmission prediction information comprises an uplink interference prediction value and / or a channel matrix prediction value, the first moment is after a second moment, and the second moment is the moment when the first node acquires an uplink reference signal sent by the terminal.

Description

Information prediction method, device, network equipment and node equipment

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application No. 202310763447.3 filed in China on June 27, 2023, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present disclosure relates to the field of wireless technology, and in particular to an information prediction method, apparatus, network equipment, and node equipment. Background Art

[0004] In 4th Generation Mobile Communication Technology (4G) Long Term Evolution (LTE) and 5th Generation Mobile Communication Technology (5G) New Radio (NR) communication systems, Adaptive Modulation and Coding (AMC) technology is commonly used to address the time-varying characteristics of wireless channels and ensure the transmission quality of wireless links. AMC adaptively adjusts the modulation scheme and coding rate used in wireless link transmission based on wireless channel variations: a lower Modulation and Coding Scheme (MCS) is selected when channel quality is poor, and a higher MCS is selected when channel quality is good. This ensures wireless link transmission reliability while maximizing wireless link transmission efficiency.

[0005] Currently, MCS is typically selected and adjusted using both inner-loop and outer-loop control. In the inner-loop, the base station selects an appropriate MCS value by looking up the SINR (Signal to Interference plus Noise Ratio) obtained from measuring the uplink reference signal. In the outer-loop, the base station adjusts the MCS value based on the success / failure of the cyclic redundancy check (CRC) of the decoded physical uplink shared channel (PUSCH), gradually converging the block error rate (BLER) to the target BLER.

[0006] In the existing MCS selection method, the time when the base station measures the uplink (UL) SINR is different from the time when the uplink PUSCH data service is to be scheduled for transmission. The channel quality has changed several milliseconds apart. In the case of large interference fluctuations, the base station cannot select the appropriate MCS based on the channel quality at the time of the uplink PUSCH data service to be scheduled for transmission. As a result, the selected MCS cannot meet the high reliability and low latency transmission requirements of wireless network transmission.

[0007] Summary of the Invention

[0008] The purpose of the technical solution disclosed herein is to provide an information prediction method, apparatus, network equipment, and node equipment for solving the problem that the moment when the base station measures the UL SINR is different from the moment when the uplink PUSCH data service transmission is to be scheduled, resulting in the selected MCS not matching the channel quality at the moment of uplink PUSCH data service transmission, and failing to meet the high reliability and low latency transmission requirements of wireless network transmission.

[0009] One embodiment of the present disclosure provides an information prediction method, wherein the method is performed by a first network device and includes:

[0010] Sending service transmission prediction information of the terminal scheduled at the first moment to the first node; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment, and the second moment is the moment when the first node obtains the uplink reference signal sent by the terminal.

[0011] Optionally, the information prediction method further comprises:

[0012] Sending a subscription request to the first node; the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0013] receiving first information sent by the first node according to the subscription request; wherein the first information includes the measurement information;

[0014] The service transmission prediction information is determined according to the first information.

[0015] Optionally, the information prediction method, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0016] Optionally, in the information prediction method, the reporting method includes periodic reporting.

[0017] Optionally, in the information prediction method, the historical time includes a previous reporting period of the current reporting period, and / or a time between the previous reporting period and the current reporting period.

[0018] Optionally, in the information prediction method, receiving the first information sent by the first node according to the subscription request includes:

[0019] Receive first information sent by the first node to the first network device in the reporting manner according to the subscription request; wherein the first information includes the subscription content.

[0020] Optionally, in the information prediction method, the measurement information includes uplink interference, and the uplink interference requested for subscription by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0021] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0022] Optionally, in the information prediction method, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0023] Optionally, the information prediction method, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0024] Optionally, in the information prediction method, determining the service transmission prediction information according to the first information includes:

[0025] Determine, based on the uplink interference, an uplink interference prediction value of the terminal scheduled by the first node at the first moment; and / or determine, based on the channel matrix, a channel matrix prediction value of the terminal scheduled by the first node at the first moment.

[0026] Optionally, the information prediction method, wherein determining, based on the channel matrix, a predicted value of the channel matrix for scheduling the terminal by the first node at the first moment, includes:

[0027] Converting the channel matrices for receiving uplink reference signals at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signals at the multiple historical times;

[0028] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0029] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0030] One embodiment of the present disclosure further provides an information prediction method, wherein the method is performed by a first node and includes:

[0031] After obtaining an uplink reference signal of the terminal at the second moment, obtaining service transmission prediction information of the terminal scheduled by the first node at the first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment;

[0032] Determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0033] Optionally, the information prediction method further comprises:

[0034] Determine, according to the uplink channel quality at the first moment, a modulation and coding strategy (MCS) value for sending a physical downlink control channel to the terminal.

[0035] Optionally, the information prediction method further comprises:

[0036] receiving a subscription request sent by a first network device, wherein the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0037] Sending first information to the first network device according to the subscription request; the first information includes the measurement information;

[0038] The acquiring of service transmission prediction information of the terminal scheduled by the first node at the first moment includes:

[0039] Obtain the service transmission prediction information sent by the first network device according to the first information.

[0040] Optionally, the information prediction method, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0041] Optionally, in the information prediction method, the reporting method includes periodic reporting.

[0042] Optionally, in the information prediction method, the historical time includes a previous reporting period of the current reporting period, and / or a time between the previous reporting period and the current reporting period.

[0043] Optionally, in the information prediction method, sending the first information to the first network device according to the subscription request includes:

[0044] According to the subscription request, the first information is sent to the first network device in the reporting manner.

[0045] Optionally, in the information prediction method, the measurement information includes uplink interference, and the uplink interference requested for subscription by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0046] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0047] Optionally, in the information prediction method, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0048] Optionally, the information prediction method, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0049] Optionally, in the information prediction method, wherein the service transmission prediction information includes an uplink interference prediction value, obtaining the uplink interference prediction value of the terminal scheduled by the first node at the first moment includes:

[0050] An uplink interference prediction value for scheduling the terminal at the first moment is determined based on uplink interference received on each transmission resource block within a working frequency band of a serving cell corresponding to the terminal during multiple historical times before the second moment.

[0051] Optionally, in the information prediction method, wherein the service transmission prediction information includes a channel matrix prediction value, obtaining the channel matrix prediction value of the terminal scheduled by the first node at the first moment includes:

[0052] determining, based on historical channel data corresponding to uplink reference signals sent by the terminal received at multiple historical times before the second moment, a channel matrix for receiving the uplink reference signals at the multiple historical times;

[0053] Converting the channel matrices for receiving the uplink reference signal at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signal at the multiple historical times;

[0054] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0055] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0056] Optionally, the information prediction method, wherein determining the uplink channel quality at the first moment according to the service transmission prediction information, includes:

[0057] The uplink channel quality at the first moment is determined according to the uplink interference prediction value of the terminal scheduled by the first node at the first moment and the signal strength of the uplink reference signal received by the first node at the second moment.

[0058] Optionally, the information prediction method, wherein determining the uplink channel quality at the first moment according to the service transmission prediction information, includes:

[0059] determining, based on a predicted value of a channel matrix for scheduling the terminal by the first node at the first moment, a predicted signal strength of an uplink reference signal sent by the terminal and received by the first node at the first moment;

[0060] The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

[0061] One embodiment of the present disclosure further provides a network device, wherein the network device is a first network device, including a transceiver, wherein the transceiver is configured to:

[0062] Sending service transmission prediction information of the terminal scheduled at the first moment to the first node; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment, and the second moment is the moment when the first node obtains the uplink reference signal sent by the terminal.

[0063] One embodiment of the present disclosure further provides a node device, wherein the node device is a first node, including a transceiver and a processor, wherein:

[0064] The transceiver is configured to, after obtaining an uplink reference signal of the terminal at a second moment, obtain service transmission prediction information of the terminal scheduled by the first node at the first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment;

[0065] The processor is configured to determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0066] One embodiment of the present disclosure further provides an information prediction apparatus, which is applied to a first network device and includes:

[0067] An information sending module is used to send service transmission prediction information of a terminal scheduled at a first moment to a first node; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after a second moment, and the second moment is the moment when the first node obtains the uplink reference signal sent by the terminal.

[0068] One embodiment of the present disclosure further provides an information prediction device, wherein the device is applied to a first node, and includes:

[0069] an information acquisition module, configured to, after acquiring an uplink reference signal of the terminal at a second moment, acquire service transmission prediction information of the terminal scheduled by the first node at a first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment;

[0070] A determination module is used to determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0071] One embodiment of the present disclosure further provides a network device, which includes a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the information prediction method as described in any one of the above items.

[0072] One embodiment of the present disclosure further provides a readable storage medium, wherein the readable storage medium stores a program, and when the program is executed by a processor, the steps in any of the above information prediction methods are implemented.

[0073] At least one of the above technical solutions of the present disclosure has the following beneficial effects:

[0074] By adopting the information prediction method described in the embodiment of the present disclosure, the first network device can send service transmission prediction information of the terminal scheduled at the first moment to the first node, and the first moment is located after the second moment of obtaining the uplink reference signal sent by the terminal, so that the first node can determine the uplink channel quality based on the service transmission prediction information of the terminal scheduled at the first moment, and ensure that the selected MCS value can meet the channel quality at the uplink PUSCH data service transmission moment, thereby avoiding the problem that the selected MCS value is inconsistent with the channel quality at the uplink PUSCH data service transmission moment and cannot meet the high reliability and low latency transmission requirements of wireless network transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] FIG1 is a schematic diagram of a flow chart of an information prediction method according to a first embodiment of the present disclosure;

[0076] FIG2 is a flow chart of a first embodiment of the method according to the embodiment of the present disclosure;

[0077] FIG3 is a flow chart of a second embodiment of the method according to the embodiment of the present disclosure;

[0078] FIG4 is a flow chart of the information prediction method according to the second embodiment of the present disclosure;

[0079] FIG5 is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure;

[0080] FIG6 is a schematic diagram of the structure of a node device according to an embodiment of the present disclosure;

[0081] FIG7 is a schematic diagram of the structure of the information prediction device according to the first embodiment of the present disclosure;

[0082] FIG8 is a schematic diagram of the structure of the information prediction device according to the second embodiment of the present disclosure. DETAILED DESCRIPTION

[0083] In order to make the technical problems, technical solutions and advantages to be solved by the present disclosure clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0084] In order to solve the problem that in the MCS selection method using the relevant technology, the moment when the base station measures the UL SINR is different from the moment of the uplink PUSCH data service transmission to be scheduled, resulting in the selected MCS being inconsistent with the channel quality at the moment of the uplink PUSCH data service transmission, and unable to meet the high reliability and low latency transmission requirements of the wireless network transmission, the embodiment of the present disclosure provides an information prediction method, wherein a first network device can send service transmission prediction information of a terminal scheduled at a first moment (the terminal sends PUSCH) to a first node, and the first moment is located after the second moment of obtaining the uplink reference signal sent by the terminal, so that the first node can determine the uplink channel quality based on the service transmission prediction information of the terminal scheduled at the first moment, and ensure that the selected MCS value can meet the channel quality at the moment of the uplink PUSCH data service transmission, thereby avoiding the problem that the selected MCS value is inconsistent with the channel quality at the moment of the uplink PUSCH data service transmission, and cannot meet the high reliability and low latency transmission requirements of the wireless network transmission.

[0085] One embodiment of the present disclosure provides an information prediction method, which is performed by a first network device, as shown in FIG1 , and includes:

[0086] S110, sending service transmission prediction information of the terminal scheduled at the first moment to the first node; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein, the first moment is after the second moment, and the first node obtains the uplink reference signal sent by the terminal at the second moment.

[0087] That is, the second moment is the moment when the first node obtains the uplink reference signal sent by the terminal.

[0088] In the embodiment of the present disclosure, optionally, the first network device may be a node device, a network unit or a module capable of performing uplink interference prediction and channel prediction; the first node is a base station connected to the terminal for communication.

[0089] In the embodiment of the present disclosure, optionally, the first moment is the moment when the base station schedules the terminal, that is, the moment when the terminal sends PUSCH to the base station; the second moment is the moment when the base station obtains the uplink reference signal sent by the terminal, which is before the first moment.

[0090] In addition, the embodiment of the present disclosure may also include a third moment, located between the second moment and the first moment; wherein, at the third moment, the base station sends physical downlink control channel (PDCCH) data to the terminal, and the PDCCH data includes the MCS value selected by the base station, and the terminal sends PUSCH to the base station according to the PDCCH data sent by the base station.

[0091] In the embodiment of the present disclosure, the time when the first network device sends the service transmission prediction information to the first node is after the second moment and before the third moment, so that the first node (such as a base station) can determine the uplink channel quality based on the service transmission prediction information of the terminal scheduled at the first moment, so as to be able to select a more suitable MCS for the uplink data service to be transmitted, realize AMC algorithm enhancement, and ensure the requirements of high reliability and low latency for the wireless network.

[0092] Optionally, in one embodiment, the method further comprises:

[0093] Sending a subscription request to the first node; the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0094] receiving first information sent by the first node according to the subscription request; wherein the first information includes the measurement information;

[0095] The service transmission prediction information is determined according to the first information.

[0096] With this implementation, the first network device has the function of performing uplink interference prediction and channel prediction, can send a subscription request to the first node, and obtain first information fed back by the first node based on the subscription request to determine service transmission prediction information.

[0097] In the embodiment of the present disclosure, optionally, the first network device sends a subscription request to the first node through an interface connected to the first node.

[0098] In one embodiment, optionally, the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0099] Optionally, the reporting method includes but is not limited to only periodic reporting.

[0100] In addition, the historical time includes the previous reporting period of the current reporting period, and / or the time between the previous reporting period and the current reporting period.

[0101] In one embodiment, optionally, the measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0102] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0103] Specifically, the uplink interference received on each transmission resource block includes an uplink interference value (Received Interference Power, RIP) received on each transmission resource block and / or an interference rise value (Interference Over Thermal, IOT) received on each transmission resource block.

[0104] Optionally, the transmission resource block includes a resource block (Resource Block, RB) and / or a resource block group (Resource Block Group, RBG).

[0105] Specifically, the subscription request sent by the first network device to the first node is used to request the subscription of the uplink interference value RIP received by each RB / RBG and / or the interference rise value IOT received by each RB / RBG in the historical time (the previous reporting period of the current reporting period, and / or the time between the previous reporting period and the current reporting period) within the working frequency band of the serving cell where the terminal is located. In the embodiment of the present disclosure, optionally, for the uplink interference between the previous reporting period and the current reporting period for which subscription is requested, it is the average interference value within the time.

[0106] And / or, the subscription request is used to request subscription to the channel matrix of the terminal in the historical time (the previous reporting period of the current reporting period, and / or the time between the previous reporting period and the current reporting period). The channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal. In the embodiment of the present disclosure, optionally, for the channel matrix of the time between the previous reporting period and the current reporting period for which subscription is requested, the sampling data of all channel matrices within this time is included.

[0107] In another implementation manner of the embodiment of the present disclosure, optionally, after obtaining the subscription request sent by the first network device, the first node (such as a base station) sends first information to the first network device through an interface connected to the first network device according to the subscription request. The first information includes the measurement information requested to be subscribed by the first network device, that is, the uplink interference and / or channel matrix requested to be subscribed.

[0108] The first network device receiving the first information sent by the first node according to the subscription request includes:

[0109] Receive first information sent by the first node to the first network device in the reporting manner according to the subscription request; wherein the first information includes the subscription content.

[0110] Specifically, the subscription content includes uplink interference and / or channel matrix.

[0111] The subscription content in the first information includes the uplink interference value RIP received by each RB / RBG and / or the interference rise value IOT received by each RB / RBG in the historical time (the previous reporting period of the current reporting period, and / or the time between the previous reporting period and the current reporting period) within the working frequency band of the service cell where the terminal is located. In the embodiment of the present disclosure, optionally, in the subscription content included in the first information, the uplink interference between the previous reporting period and the current reporting period is the average interference value within the time.

[0112] For example, taking the uplink interference in the first information including RIP as an example, the RIP received by each RB or RBG within a historical period may be as shown in Table 1 below.

[0113] Table 1

[0114] In addition, the subscription content in the first information includes the channel matrix of the terminal in the historical time (the previous reporting period of the current reporting period, and / or the time between the previous reporting period and the current reporting period). The channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal. In the embodiment of the present disclosure, optionally, in the subscription content included in the first information, the channel matrix of the time between the previous reporting period and the current reporting period includes sampling data of all channel matrices within this time.

[0115] In the embodiment of the present disclosure, the first network device determines the service transmission prediction information according to the first information sent by the first node to the first network device in the reporting manner, including:

[0116] Determine, based on the uplink interference, an uplink interference prediction value of the terminal scheduled by the first node at the first moment; and / or determine, based on the channel matrix, a channel matrix prediction value of the terminal scheduled by the first node at the first moment.

[0117] Specifically, the first network device performs data processing, model training, and model inference based on the uplink interference and / or channel matrix within a preset historical time range reported by the first node to generate an uplink interference prediction value and a channel prediction value.

[0118] In which, when the first network device determines the uplink interference prediction value of the terminal scheduled by the first node at the first moment based on the uplink interference, the uplink interference prediction can be implemented based on an artificial intelligence (AI) method.

[0119] Specifically, the first network device converts the uplink interference within a preset historical time range into a supervised learning data set, predicts the uplink interference at a future moment, and obtains an uplink interference prediction value.

[0120] Taking the preset historical time range as an example, where the interval between each historical period is 1 transmission time interval (TTI), in the T historical periods before the second time t, the RIP received by each transmission resource block within the working frequency band of the serving cell where the terminal is located can be expressed as shown in Table 2, where T is an integer greater than or equal to 1.

[0121] Table 2

[0122] According to the above T historical periods, the RIP received by each transmission resource block within the working frequency band of the service cell where the corresponding terminal is located can determine the RIP at the kth moment (first moment) after the second moment t, that is, the RIP received by each transmission resource block within the working frequency band of the service cell where the terminal is located can be determined, which can be specifically shown in Table 3 below.

[0123] Table 3

[0124] Specifically, T historical periods can be used to correspond to the RIP received by each transmission resource block within the working frequency band of the service cell where the terminal is located as input (data shown in Table 2), and an AI algorithm can be used to utilize the training and reasoning process of the AI ​​model to obtain the uplink interference prediction value received by each transmission resource block when the terminal is scheduled at the first moment, for example, to obtain the RIP shown in Table 3.

[0125] Optionally, the AI ​​algorithm includes but is not limited to algorithms that can only include models such as the distributed gradient boosting library xgboost, long short-term memory network (LSTM), and temporal convolutional network.

[0126] In another implementation manner, the information prediction method according to the embodiment of the present disclosure determines, based on the channel matrix, a predicted value of the channel matrix for scheduling the terminal by the first node at the first moment, including:

[0127] Converting the channel matrices for receiving uplink reference signals at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signals at the multiple historical times;

[0128] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0129] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0130] Using this implementation, the first node (base station) continuously monitors and records the received signal characteristics of the uplink reference signal sent by the scheduling terminal on the access carrier at each base station antenna, obtains historical channel data corresponding to the uplink reference signal sent by the receiving terminal at multiple historical times before the second moment, determines the channel matrix for receiving the uplink reference signal at multiple historical times, and sends the channel matrix of multiple historical times to the first network device. The first network device determines the channel matrix prediction value of the scheduling terminal of the first node at the first moment based on the channel matrix of the multiple historical times.

[0131] Specifically, the corresponding relationship between the received signal characteristics of the uplink reference signal sent by the base station scheduling terminal on the access carrier at each base station antenna and the channel matrix of the corresponding uplink reference signal can be expressed by the following formula 1:

[0132] Formula 1:

[0133] Where Y(k,r) is the channel data of the uplink reference signal of the scheduled terminal on the rth antenna and the kth subcarrier received by the base station; X(k,p) is the channel data of the uplink reference signal sent by the terminal on the kth subcarrier and the pth antenna in the frequency domain. The signal characteristics of the uplink reference signal sent by the terminal are configured to the transmitter by the base station through high-layer signaling and uplink outer loop power control; H(k,r,p) is the channel matrix of the uplink reference signal sent on the kth subcarrier from the pth antenna of the terminal to the rth antenna of the base station, I is the uplink interference received by the base station, and N is white noise.

[0134] Therefore, according to Formula 1, the channel matrix of the uplink reference signal received by the base station, the channel data of the uplink reference signal sent by the scheduled user received by the base station, and the channel data of the uplink reference signal sent by the terminal, the channel matrix at the uplink reference signal reception time t (the second time) can be determined, as expressed as: H t Based on this principle, the channel matrix of the uplink reference signal received at multiple historical moments or historical times can be obtained.

[0135] In the embodiment of the present disclosure, according to the above, the historical channel data includes first channel data of an uplink reference signal sent by the terminal on the kth subcarrier and the pth antenna, and second channel data of an uplink reference signal received by the base station on the rth antenna and the kth subcarrier of the terminal;

[0136] The channel matrix represents the channel matrix of the uplink reference signal sent on the kth subcarrier at the multiple historical times, transmitted from the pth antenna of the terminal to the rth antenna of the base station; k, p, and r are respectively integers greater than 0.

[0137] Among them, the channel matrix for receiving the uplink reference signal at each historical time can be formed as a K×M×P dimensional matrix, where K is the number of subcarriers of the scheduled terminal in the working frequency domain, M is the number of antennas of the base station, and P is the number of antennas of the terminal.

[0138] In the information prediction method described in the embodiment of the present disclosure, when the first network device obtains the channel matrix prediction value of the scheduling terminal at the first moment, after the first node (base station) obtains the channel matrix of the uplink reference signal received at the multiple historical times, the first network device converts the channel matrix of the uplink reference signal received at the multiple historical times to obtain the channel characteristic data of the uplink reference signal received at the multiple historical times.

[0139] Specifically, the channel matrix of the uplink reference signal received at the second time t may be converted using the following formula 2 to obtain the channel characteristic data of the uplink parameter signal received at the second time t:

[0140] Formula 2:

[0141] Among them, H t (k, r, p) is the channel matrix of the uplink reference signal received at the second time t; The channel characteristic data of the uplink parameter signal received at the second time t after conversion; G is the structural transformation matrix.

[0142] Optionally, the channel matrix of the uplink reference signal received at the second time t can be transformed using structural transformation methods such as multidimensional discrete Fourier transform (DFT) and singular value decomposition (SVD); therefore, the structural transformation matrix G can be a DFT matrix in a multidimensional DFT transformation, or a transformation orthogonal basis in an SVD transformation.

[0143] By adopting this principle, the channel matrix of the uplink reference signal received at each historical time (e.g., t1, t2, ..., tT) within multiple historical time periods is transformed to obtain the channel characteristic data of the uplink reference signal received at each historical time period, that is, to obtain the time-domain predictable channel characteristics, which can be recorded as:

[0144] Furthermore, based on the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal at the first moment can be obtained.

[0145] Optionally, an autoregressive model (AR) may be used for time series prediction, and a channel characteristic prediction value for scheduling the terminal at the first moment may be obtained based on channel characteristic data of the uplink reference signal received over multiple historical time periods.

[0146] Specifically, the following formula 3 can be used to obtain the channel characteristic prediction value of the terminal scheduled at the first time S:

[0147] Formula 3:

[0148] Among them, H S-i (k, r, p) is the channel characteristic data at one of the TTI moments before the first moment S;

[0149] m is the order of the AR model, indicating that the channel characteristics at time S are related to the channel characteristics at m historical times; is the autoregressive coefficient of the channel characteristics, u S is a random disturbance term.

[0150] By adopting this implementation, multiple time series can be used for training to obtain the coefficients of the AR model, which are used to predict the next time sample with a distance of 1 TTI, and use time domain sliding to predict the time sample with a distance of k TTIs. In this way, based on this principle, the channel characteristic data of the uplink reference signal received at multiple historical times can be used to obtain the channel characteristic prediction value of the terminal scheduled at the first moment S after multiple historical times.

[0151] Furthermore, after obtaining the channel characteristic prediction value of the terminal scheduled at the first moment based on the channel characteristic data of the uplink reference signal received at the multiple historical times, the channel characteristic prediction value is inversely transformed to obtain the channel matrix prediction value of the terminal scheduled at the first moment.

[0152] Specifically, the channel feature prediction value can be inversely transformed using the following formula 4 to obtain the channel matrix prediction value of the S scheduling terminal at the first moment:

[0153] Formula 4:

[0154] Among them, G H is the structural transformation matrix.

[0155] Based on the traditional Adaptive Modulation and Coding (AMC) algorithm, when the base station needs to initiate uplink data service scheduling control information (Dedicated Control Information, DCI) to the terminal, the base station uses its most recently measured uplink reference signal to calculate the channel quality. The future uplink data service transmission moment is outdated and the appropriate MCS cannot be selected. Using the information prediction method described in the embodiment of the present disclosure, the first network device sends the uplink interference prediction value and / or channel matrix prediction value of the terminal scheduled at the first moment obtained in the above manner to the first node (base station). The base station can determine the uplink channel quality at the first moment based on the uplink interference prediction value and / or channel matrix prediction value for use in MCS value calculation to ensure that the selected MCS value can meet the channel quality at the uplink PUSCH data service transmission moment.

[0156] In one embodiment, the first node (base station) determines the uplink channel quality at the first moment according to the service transmission prediction information, including:

[0157] The uplink channel quality at the first moment is determined according to the uplink interference prediction value of scheduling the terminal at the first moment and the signal strength of the uplink reference signal received at the second moment.

[0158] Specifically, the base station converts the uplink interference prediction value of the RB / RBG level at the first moment into an average uplink interference prediction value or a maximum uplink interference prediction value in each RB / RBG in one frequency domain for the scheduled terminal by taking the average value in units of RB / RBG, which is used by the base station to calculate the uplink channel quality.

[0159] Taking the case where the base station receives an uplink reference signal at a time domain position of (n-μ)tti, and needs to send uplink data service scheduling control information DCI to the terminal at a time domain position of (n+Δ)tti, the first moment is (n+Δ)tti, the second moment is (n-μ)tti, and the uplink channel quality calculated by the base station is SINR as an example, the base station measures the uplink reference signal Y(n-μ) at the second moment, 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, and uses the uplink interference prediction value of the terminal to schedule at the first moment (n+Δ)tti, as well as the signal strength of the uplink reference signal received by the base station at the second moment (n-μ)tti. The uplink channel quality UL_SINR(n+Δ) at the first moment (n+Δ)tti can be determined using the following formula 5:

[0160] Formula 5:

[0161] in, is Gaussian white noise, RIP(n+Δ) is the uplink interference prediction value of the RB / RBG level at the first moment (n+Δ)tti; n, μ, and Δ are integers greater than or equal to 1.

[0162] In this implementation, when the terminal is stationary or moving slowly, the reference signal strength S(n-μ) received by the base station does not change much, and the above formula 5 can be used to determine the uplink channel quality at the first moment.

[0163] In another embodiment, in a scenario where the terminal moves quickly or the channel changes quickly, the first node (base station) determines the uplink channel quality at the first moment based on the service transmission prediction information, including:

[0164] determining, based on a predicted value of a channel matrix for scheduling the terminal at the first moment, a predicted signal strength of an uplink reference signal sent by the terminal received at the first moment;

[0165] The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

[0166] Specifically, the channel matrix prediction value of the terminal scheduled by the base station at the first time (n+Δ)tti can be calculated according to the calculation process of the above formulas 1 to 4: The following formula 6 is further used to calculate the predicted signal strength S of the uplink reference signal sent by the terminal on each subcarrier at the first time (n+Δ)tti received by the base station: n+Δ (k,r);

[0167] Formula 6:

[0168] Formula 7:

[0169] Among them, X n+Δ (k,p) is the uplink reference signal sent by the terminal at the kth subcarrier and the pth antenna at time (n+Δ)tti, where X is the value of the base station configuration and uplink power control function. n+Δ (k, p) is information known to the base station. K is the total number of subcarriers in a frequency domain for scheduled terminal i, R is the number of receiving antennas of the base station, P is the total number of antennas of the terminal, and N_sc is the number of subcarriers contained in each RB / RBG.

[0170] Furthermore, according to Formula 7, the average useful signal strength S(n+Δ) per RB / RBG of a certain frequency domain segment for the scheduled terminal at time (n+Δ)tti can be calculated to calculate the uplink channel quality at time (n+Δ)tti, such as UL_SINR(n+Δ).

[0171] Specifically, the uplink channel quality UL_SINR(n+Δ) at time (n+Δ)tti can be calculated using the following formula 8:

[0172] Formula 8:

[0173] It should be noted that the above method of determining the uplink channel quality at the first moment based on the service transmission prediction information is only an example and is not limited to this. No examples are given for each implementation method separately here.

[0174] In the embodiment of the present disclosure, optionally, the method further includes:

[0175] The first node determines the uplink channel quality for calculating the MCS value according to the uplink channel quality at the first moment and the uplink channel quality cumulatively calculated in combination with multiple CRC check results.

[0176] Specifically, the uplink channel quality is calculated cumulatively based on the outer loop control and multiple CRC check results. The uplink channel quality calculated by the outer loop control can be used to calibrate the uplink channel quality calculated by the inner loop control, thereby achieving the purpose of timely and accurate reflection of the actual channel quality.

[0177] Among them, when the CRC check result is positive, the uplink channel quality at the first moment calculated according to the above method can be increased by a first preset value; when the CRC check result is negative, the uplink channel quality at the first time calculated according to the above method can be reduced by a second preset value. In this way, based on the CRC check result, combined with the uplink channel quality at the first moment predicted by the above method, the accurate uplink channel quality at the first moment is determined.

[0178] In addition, in the embodiment of the present disclosure, the first node determines, based on the uplink channel quality at the first moment, a modulation and coding strategy MCS value for sending a physical downlink control channel PDCCH to the terminal at the third moment, including:

[0179] The corresponding relationship between the uplink channel quality (such as SINR) and the MCS is determined by calculation or table lookup, and the MCS value of the physical downlink control channel PDCCH sent to the terminal at the third moment is determined.

[0180] After determining the MCS value, the base station sends a physical downlink control channel PDCCH to the terminal at a third time.

[0181] Using this implementation mode, the first network device performs a prediction of the uplink interference prediction value of the terminal scheduled at the first moment based on the uplink interference information and the channel matrix corresponding to multiple historical times reported by the base station, and performs a prediction of the channel matrix prediction value of the terminal scheduled at the first moment, and sends the predicted uplink interference prediction value and / or channel matrix prediction value to the base station, and the base station determines the uplink channel quality at the first moment based on the obtained uplink interference prediction value and / or channel matrix prediction value.

[0182] In another implementation manner, the information prediction method described in the embodiment of the present disclosure can also be performed by the first node (base station) predicting the uplink interference of the terminal scheduled at the first moment to obtain service transmission prediction information, that is, obtaining the uplink interference prediction value and / or channel matrix prediction value of the terminal scheduled at the first moment.

[0183] Specifically, the first node (base station) determines the uplink interference prediction value for scheduling the terminal at the first moment based on the uplink interference received on each transmission resource block in the working frequency band of the serving cell where the terminal is located within a plurality of historical times before the second moment; and / or

[0184] The first node (base station) determines, based on historical channel data corresponding to uplink reference signals sent by the terminal received at multiple historical times before the second moment, a channel matrix for receiving the uplink reference signals at the multiple historical times;

[0185] Converting the channel matrices for receiving the uplink reference signal at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signal at the multiple historical times;

[0186] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0187] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0188] Among them, the specific implementation method of the first node (base station) predicting the uplink interference of the terminal scheduled at the first moment and obtaining the uplink interference prediction value and / or channel matrix prediction value of the terminal scheduled at the first moment may be the same as the specific implementation method of the first network device determining the uplink interference prediction value and / or channel matrix prediction value of the terminal scheduled at the first moment, and will not be repeated here.

[0189] In the embodiment of the present disclosure, a specific implementation method of determining, by the first network device according to the uplink interference information and the channel matrix, the uplink interference prediction value and / or the channel matrix prediction value of the terminal scheduled by the base station at the first moment may include the following steps, as shown in FIG2 :

[0190] S201: A first network device (uplink interference prediction module) sends a first data subscription request to a base station, requesting to subscribe to uplink interference information.

[0191] Specifically, it is used to request subscription to an uplink interference value RIP received by each RB / RBG, or an interference increase value IOT received by each RB / RBG, within the working frequency band of the serving cell where the terminal is located.

[0192] S202: The base station periodically sends RIPs and / or IOTs of multiple historical times to the first network device according to the first data subscription request.

[0193] S203: The first network device calculates an uplink interference prediction value at a first moment based on the RIPs and / or IOTs at multiple historical times. The uplink interference prediction value at the first moment may be the RIPs and / or IOTs received by each RB / RBG when the terminal is scheduled at the first moment. Specifically, the AI ​​model training and inference process may be used to obtain the RIPs and / or IOTs received by each transmission resource block when the terminal is scheduled at the first moment.

[0194] S204: The first network device sends the uplink interference prediction value at the first moment to the base station.

[0195] S205: The first network device (uplink interference prediction module) sends a second data subscription request to the base station, requesting to subscribe to the user channel matrix.

[0196] S206: The base station sends a channel matrix to the first network device according to the second data subscription request sent by the first network device.

[0197] Optionally, the base station sends a channel matrix corresponding to the uplink reference signal sent by the terminal received at multiple historical times to the first network device, or requests scheduling to statistically receive the channel matrix corresponding to the uplink parameter signal sent by the terminal at the current time; the channel matrix for receiving the uplink reference signal at each historical time can be formed as a K*M*P-dimensional matrix, where K is the number of subcarriers of the scheduled terminal in the working frequency domain, M is the number of antennas of the base station, and P is the number of antennas of the terminal, representing the channel matrix of the uplink reference signal sent on the kth subcarrier at the multiple historical times, transmitted from the pth antenna of the terminal to the rth antenna of the base station; k, p, and r are respectively integers greater than 0;

[0198] Specifically, according to formula 1, the base station can determine the channel matrix corresponding to receiving the uplink reference signal sent by the terminal at multiple historical times. The specific determination method can be combined with the above detailed description and will not be repeated here.

[0199] S207: The first network device determines a predicted value of the channel matrix for scheduling the terminal at a first moment based on the channel matrices corresponding to the uplink reference signals sent by the terminal received at multiple historical times.

[0200] Specifically, the first network device may determine the channel matrix prediction value of the terminal scheduled at the first moment according to the above formulas 2 to 4, and the specific implementation process will not be described in detail here.

[0201] S208: The first network device sends the determined channel matrix prediction value at the first moment to the base station.

[0202] S209: The base station determines the uplink channel quality for scheduling the terminal service at the first moment according to the received uplink interference prediction value and channel matrix prediction value at the first moment.

[0203] S210, the base station selects an MCS based on the determined uplink channel quality and an AMC enhancement algorithm;

[0204] S211: The base station sends uplink scheduling control information to the terminal at the first moment according to the selected MCS.

[0205] It should be noted that, in the embodiment of the present disclosure, the above-mentioned steps S205 to S208 can be completed synchronously with steps S201 to S204, that is, the first data subscription request and the second data subscription request are the same request, which are used to simultaneously request subscription to uplink interference information and user channel matrix. The first network device can obtain the uplink interference prediction value and / or channel matrix prediction value based on the request, and send them to the base station synchronously.

[0206] In another implementation manner of the adaptive modulation and coding method described in the embodiment of the present disclosure, the first network device includes a wireless intelligent control platform in an open radio access network (O-RAN) architecture.

[0207] The wireless intelligent control platform interacts with the E2 interface of the base station and has the following functions:

[0208] a data collection function for obtaining, sent by a base station, uplink interference information received on each transmission resource block within the operating frequency band of the serving cell where the terminal is located at multiple historical times before the second moment, and a channel matrix corresponding to uplink reference signals sent by the terminal during multiple historical time periods;

[0209] Data analysis and processing function, used to analyze and process the obtained uplink interference information and channel matrix;

[0210] The model training and inference function is used to train the prediction model, obtain the prediction model, input the analyzed and processed uplink interference information and channel matrix into the prediction model, and obtain the uplink interference prediction value and / or channel matrix prediction value of the RB level and / or RBG.

[0211] Furthermore, the wireless intelligent control platform transmits the obtained uplink interference prediction value and / or channel matrix prediction value to the base station via the E2 interface. The base station analyzes and processes the uplink interference prediction value and / or channel matrix prediction value using an AMC algorithm to obtain the uplink channel quality at the first moment, and determines, based on the uplink channel quality, an MCS value for sending uplink scheduling control information to the terminal at the first moment.

[0212] In this embodiment, optionally, the wireless intelligent control platform includes a near real-time (Near-RT) radio access network intelligent controller (RAN Intelligent Controller, RIC) platform and an xAPP platform. The xAPP platform is used to implement interference prediction and send a data subscription request to the Near-RT RIC platform through the RIC application programming interface (Application Programming Interface, API). The Near-RT RIC platform further forwards the data subscription request to the base station through the E2 interface.

[0213] This implementation utilizes an enhanced E2 interface connecting the Near-RT RIC and the base station to enable the Near-RT RIC to subscribe to and receive uplink interference and channel matrix data. Uplink interference and channel matrix prediction model training and real-time model inference are implemented based on the Near-RT RIC / xAPP. The enhanced E2 interface enables the Near-RT RIC to deliver uplink interference and channel matrix prediction values. This allows the base station to improve the accuracy of channel quality prediction, thereby selecting a more appropriate MCS and meeting the high reliability and low latency requirements of wireless networks for services such as ultra-reliable low latency communications (uRLLC).

[0214] FIG3 is a flow chart of one embodiment of the adaptive coding method according to the present disclosure. The specific implementation process of this embodiment includes the following steps:

[0215] S301, the xAPP platform sends a first data subscription request to the Near-RT RIC platform through the RIC API;

[0216] S302, the Near-RT RIC platform forwards the first data subscription request to the base station through the E2 interface;

[0217] The first data subscription request is used to request subscription to uplink interference information.

[0218] Specifically, it is used to request subscription to an uplink interference value RIP received by each RB / RBG, or an interference increase value IOT received by each RB / RBG, within the working frequency band of the serving cell where the terminal is located.

[0219] S303, the Near-RT RIC platform sends a first subscription success message to the xAPP platform;

[0220] S304: The base station periodically sends RIPs and / or IOTs (uplink interference information) of multiple historical times to the Near-RT RIC platform according to the first data subscription request.

[0221] The base station sends the RIP and / or IOT to the Near-RT RIC platform via the E2 interface;

[0222] S305, the Near-RT RIC platform sends the RIP and / or IOT to the xAPP platform through the RIC API interface;

[0223] S306: The xAPP platform calculates an uplink interference prediction value at a first moment based on the RIPs and / or IOTs at multiple historical times. The uplink interference prediction value at the first moment may be the RIPs and / or IOTs received by each RB / RBG when the terminal is scheduled at the first moment. Specifically, the AI ​​model training and inference process may be used to obtain the RIPs and / or IOTs received by each transmission resource block when the terminal is scheduled at the first moment.

[0224] S307, the xAPP platform sends the uplink interference prediction value to the Near-RT RIC platform through the RIC API interface;

[0225] S308, the Near-RT RIC platform sends the uplink interference prediction value to the base station through the E2 interface;

[0226] S309, the base station feeds back first reception confirmation information to the Near-RT RIC platform;

[0227] S310, the xAPP platform sends a second data subscription request to the Near-RT RIC platform through the RIC API;

[0228] S311, the Near-RT RIC platform forwards the second data subscription request to the base station through the E2 interface;

[0229] The second data subscription request is used to request subscription to a user channel matrix;

[0230] S312, the Near-RT RIC platform sends a second subscription success message to the xAPP platform;

[0231] S313: The base station sends a channel matrix to the Near-RT RIC platform according to the second data subscription request.

[0232] Optionally, the base station sends a channel matrix corresponding to the uplink reference signal sent by the terminal received at multiple historical times to the Near-RT RIC platform, or requests scheduling of the channel matrix corresponding to the uplink parameter signal sent by the terminal for statistical reception at the current time; the channel matrix for receiving the uplink reference signal at each historical time can be formed as a K*M*P-dimensional matrix, where K is the number of subcarriers of the scheduled terminal in the working frequency domain, M is the number of antennas of the base station, and P is the number of antennas of the terminal, representing the channel matrix of the uplink reference signal sent on the kth subcarrier at the multiple historical times, transmitted from the pth antenna of the terminal to the rth antenna of the base station; k, p, and r are respectively integers greater than 0;

[0233] Specifically, according to formula 1, the base station can determine the channel matrix corresponding to receiving the uplink reference signal sent by the terminal at multiple historical times. The specific determination method can be combined with the above detailed description and will not be repeated here.

[0234] S314, the Near-RT RIC platform sends the channel matrix to the xAPP platform through the RIC API interface;

[0235] S315 , the xAPP platform determines a channel matrix prediction value for scheduling the terminal at the first moment based on the channel matrices corresponding to the uplink reference signals sent by the terminal received at the multiple historical times.

[0236] Specifically, the xAPP platform may determine the channel matrix prediction value of the terminal scheduled at the first moment according to the above formulas 2 to 4. The specific implementation process will not be described in detail here.

[0237] S316, the xAPP platform sends the channel matrix prediction value to the Near-RT RIC platform through the RIC API interface;

[0238] S317, the Near-RT RIC platform sends the channel matrix prediction value to the base station through the E2 interface;

[0239] S318, the base station feeds back second reception confirmation information to the Near-RT RIC platform;

[0240] S319: The base station determines the uplink channel quality for scheduling the terminal service at the first moment based on the received uplink interference prediction value and channel matrix prediction value at the first moment.

[0241] S320, the base station selects an MCS based on the determined uplink channel quality and an AMC enhancement algorithm;

[0242] S321: The base station sends uplink scheduling control information to the terminal at the first moment according to the selected MCS.

[0243] It should be noted that, in the embodiment of the present disclosure, the above-mentioned steps S310 to S318 can be steps executed synchronously with S301 to S309, that is, the first data subscription request and the second data subscription request are the same request, which are used to simultaneously request subscription to uplink interference information and user channel matrix. The xAPP platform can obtain the uplink interference prediction value and / or the channel matrix prediction value based on the request, and send it synchronously to the base station through the Near-RT RIC platform.

[0244] In the embodiment of the present disclosure, the implementation method of determining the uplink interference prediction value and the channel matrix prediction value is the same as the implementation method of the base station executing the information prediction method to determine the uplink interference prediction value and the channel matrix prediction value, and will not be repeated here.

[0245] One embodiment of the present disclosure further provides an information prediction method, which is executed by a first node, as shown in FIG4 , and includes:

[0246] S410, after obtaining an uplink reference signal of the terminal at the second moment, obtaining service transmission prediction information of the terminal scheduled by the first node at the first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment;

[0247] S420: Determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0248] Optionally, the first node may be, but is not limited to, a base station.

[0249] By adopting the information prediction method described in this embodiment, the first network device can obtain the uplink interference prediction value and / or channel matrix prediction value of the terminal service scheduled by the base station at the first moment after the second moment of receiving the uplink reference signal, and send the obtained uplink interference prediction value and / or channel matrix prediction value to the first node, so that the first node uses the determined uplink channel quality for MCS value calculation to ensure that the selected MCS value can meet the channel quality at the time of uplink PUSCH data service transmission.

[0250] Compared with the related art, the base station measures the uplink channel quality before the first moment, and when scheduling the uplink PUSCH data service transmission after the first moment, there is a problem that the channel quality changes, so that the selected MCS value does not meet the channel quality at the time of uplink PUSCH data service transmission. By using the information prediction method described in the embodiment of the present invention, the base station can determine the uplink channel quality at the first moment based on the uplink interference prediction value and / or channel matrix prediction value of the terminal service scheduled at the first moment after the second moment of obtaining the uplink reference signal, for use in MCS value calculation, to ensure that the selected MCS value can meet the channel quality at the time of uplink PUSCH data service transmission.

[0251] Optionally, the information prediction method further comprises:

[0252] Determine, according to the uplink channel quality at the first moment, a modulation and coding strategy (MCS) value for sending a physical downlink control channel to the terminal.

[0253] Optionally, the information prediction method further comprises:

[0254] receiving a subscription request sent by a first network device, wherein the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0255] Sending first information to the first network device according to the subscription request; the first information includes the measurement information;

[0256] The acquiring of service transmission prediction information of the terminal scheduled by the first node at the first moment includes:

[0257] Obtain the service transmission prediction information sent by the first network device according to the first information.

[0258] Optionally, the information prediction method, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0259] Optionally, in the information prediction method, the reporting method includes periodic reporting.

[0260] Optionally, in the information prediction method, the historical time includes a previous reporting period of the current reporting period, and / or a time between the previous reporting period and the current reporting period.

[0261] Optionally, in the information prediction method, sending the first information to the first network device according to the subscription request includes:

[0262] According to the subscription request, the first information is sent to the first network device in the reporting manner.

[0263] Optionally, in the information prediction method, the measurement information includes uplink interference, and the uplink interference requested for subscription by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0264] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0265] Optionally, in the information prediction method, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0266] Optionally, the information prediction method, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0267] Optionally, in the information prediction method, wherein the service transmission prediction information includes an uplink interference prediction value, obtaining the uplink interference prediction value of the terminal scheduled by the first node at the first moment includes:

[0268] An uplink interference prediction value for scheduling the terminal at the first moment is determined based on uplink interference received on each transmission resource block within a working frequency band of a serving cell corresponding to the terminal during multiple historical times before the second moment.

[0269] Optionally, in the information prediction method, wherein the service transmission prediction information includes a channel matrix prediction value, obtaining the channel matrix prediction value of the terminal scheduled by the first node at the first moment includes:

[0270] determining, based on historical channel data corresponding to uplink reference signals sent by the terminal received at multiple historical times before the second moment, a channel matrix for receiving the uplink reference signals at the multiple historical times;

[0271] Converting the channel matrices for receiving the uplink reference signal at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signal at the multiple historical times;

[0272] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0273] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0274] Using this implementation, on the one hand, the first node (base station) can predict the uplink interference of the terminal scheduled at the first moment and obtain service transmission prediction information, that is, obtain the uplink interference prediction value and / or channel matrix prediction value of the terminal scheduled at the first moment.

[0275] Optionally, the information prediction method, wherein determining the uplink channel quality at the first moment according to the service transmission prediction information, includes:

[0276] The uplink channel quality at the first moment is determined according to the uplink interference prediction value of the terminal scheduled by the first node at the first moment and the signal strength of the uplink reference signal received by the first node at the second moment.

[0277] Optionally, the information prediction method, wherein determining the uplink channel quality at the first moment according to the service transmission prediction information, includes:

[0278] determining, based on a predicted value of a channel matrix for scheduling the terminal by the first node at the first moment, a predicted signal strength of an uplink reference signal sent by the terminal and received by the first node at the first moment;

[0279] The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

[0280] For the specific implementation of the information prediction method described in the embodiment of the present disclosure when applied to the first node, please refer to the detailed description of the specific implementation when applied to the first network device, and will not be repeated here.

[0281] One embodiment of the present disclosure further provides a network device, which is a first network device. As shown in FIG5 , the first network device 500 includes a processor 510 and a transceiver 520, wherein the transceiver 520 is configured to:

[0282] Sending service transmission prediction information of the terminal scheduled at the first moment to the first node; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment, and the second moment is the moment when the first node obtains the uplink reference signal sent by the terminal.

[0283] Optionally, in the network device, the transceiver 520 is further configured to:

[0284] Sending a subscription request to the first node; the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0285] receiving first information sent by the first node according to the subscription request; wherein the first information includes the measurement information;

[0286] The processor 510 is configured to determine the service transmission prediction information according to the first information.

[0287] Optionally, the network device, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0288] Optionally, in the network device, the reporting method includes periodic reporting.

[0289] Optionally, in the network device, the historical time includes a previous reporting period of the current reporting period, and / or a time between the previous reporting period and the current reporting period.

[0290] Optionally, in the network device, the transceiver 520 receiving the first information sent by the first node according to the subscription request includes:

[0291] Receive first information sent by the first node to the first network device in the reporting manner according to the subscription request; wherein the first information includes the subscription content.

[0292] Optionally, in the network device, the measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0293] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0294] Optionally, in the network device, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0295] Optionally, the network device, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0296] Optionally, in the network device, the processor 510 determines the service transmission prediction information according to the first information, including:

[0297] Determine, based on the uplink interference, an uplink interference prediction value of the terminal scheduled by the first node at the first moment; and / or determine, based on the channel matrix, a channel matrix prediction value of the terminal scheduled by the first node at the first moment.

[0298] Optionally, in the network device, the processor 510 determines, according to the channel matrix, a predicted value of the channel matrix for scheduling the terminal by the first node at the first moment, including:

[0299] Converting the channel matrices for receiving uplink reference signals at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signals at the multiple historical times;

[0300] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0301] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0302] One embodiment of the present disclosure further provides a node device, wherein the node device is a first node. As shown in FIG6 , the first node 600 includes a transceiver 610 and a processor 620, wherein:

[0303] The transceiver 610 is configured to, after obtaining the uplink reference signal of the terminal at the second moment, obtain service transmission prediction information of the terminal scheduled by the first node at the first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment;

[0304] The processor 620 is configured to determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0305] Optionally, in the node device, the processor 620 is further configured to:

[0306] Determine, according to the uplink channel quality at the first moment, a modulation and coding strategy (MCS) value for sending a physical downlink control channel to the terminal.

[0307] Optionally, in the node device, the transceiver 610 is further configured to:

[0308] receiving a subscription request sent by a first network device, wherein the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0309] Sending first information to the first network device according to the subscription request; the first information includes the measurement information;

[0310] The transceiver 610 obtains the service transmission prediction information of the terminal scheduled by the first node at the first moment, including:

[0311] Obtain the service transmission prediction information sent by the first network device according to the first information.

[0312] Optionally, the node device, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0313] Optionally, in the node device, the reporting method includes periodic reporting.

[0314] Optionally, in the node device, the historical time includes a previous reporting cycle of the current reporting cycle, and / or a time between the previous reporting cycle and the current reporting cycle.

[0315] Optionally, in the node device, the transceiver 610 sending the first information to the first network device according to the subscription request includes:

[0316] According to the subscription request, the first information is sent to the first network device in the reporting manner.

[0317] Optionally, the node device, wherein the measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0318] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0319] Optionally, in the node device, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0320] Optionally, the node device, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0321] Optionally, in the node device, wherein the service transmission prediction information includes an uplink interference prediction value, the transceiver 610 obtains the uplink interference prediction value of the terminal scheduled by the first node at the first moment, including:

[0322] An uplink interference prediction value for scheduling the terminal at the first moment is determined based on uplink interference received on each transmission resource block within a working frequency band of a serving cell corresponding to the terminal during multiple historical times before the second moment.

[0323] Optionally, in the node device, wherein the service transmission prediction information includes a channel matrix prediction value, the transceiver 610 obtains the channel matrix prediction value of the terminal scheduled by the first node at the first moment, including:

[0324] determining, based on historical channel data corresponding to uplink reference signals sent by the terminal received at multiple historical times before the second moment, a channel matrix for receiving the uplink reference signals at the multiple historical times;

[0325] Converting the channel matrices for receiving the uplink reference signal at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signal at the multiple historical times;

[0326] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0327] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0328] Optionally, in the node device, the processor 620 determines the uplink channel quality at the first moment according to the service transmission prediction information, including:

[0329] The uplink channel quality at the first moment is determined according to the uplink interference prediction value of the terminal scheduled by the first node at the first moment and the signal strength of the uplink reference signal received by the first node at the second moment.

[0330] Optionally, in the node device, the processor 620 determines the uplink channel quality at the first moment according to the service transmission prediction information, including:

[0331] determining, based on a predicted value of a channel matrix for scheduling the terminal by the first node at the first moment, a predicted signal strength of an uplink reference signal sent by the terminal and received by the first node at the first moment;

[0332] The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

[0333] One embodiment of the present disclosure further provides an information prediction device, which is applied to a first network device. As shown in FIG7 , the device includes:

[0334] The information sending module 710 is used to send service transmission prediction information of the terminal scheduled at the first moment to the first node; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment, and the second moment is the moment when the first node obtains the uplink reference signal sent by the terminal.

[0335] Optionally, the information prediction device further comprises:

[0336] A request sending module 720 is configured to send a subscription request to the first node; the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0337] The information receiving module 730 is configured to receive first information sent by the first node according to the subscription request; wherein the first information includes the measurement information;

[0338] The processing module 740 is configured to determine the service transmission prediction information according to the first information.

[0339] Optionally, the information prediction device, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0340] Optionally, in the information prediction device, the reporting method includes periodic reporting.

[0341] Optionally, in the information prediction device, the historical time includes a previous reporting period of the current reporting period, and / or a time between the previous reporting period and the current reporting period.

[0342] Optionally, in the information prediction device, the information receiving module 730 receives the first information sent by the first node according to the subscription request, including:

[0343] Receive first information sent by the first node to the first network device in the reporting manner according to the subscription request; wherein the first information includes the subscription content.

[0344] Optionally, in the information prediction device, the measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0345] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0346] Optionally, in the information prediction device, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0347] Optionally, the information prediction device, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0348] Optionally, in the information prediction device, the processing module 740 determines the service transmission prediction information according to the first information, including:

[0349] Determine, based on the uplink interference, an uplink interference prediction value of the terminal scheduled by the first node at the first moment; and / or determine, based on the channel matrix, a channel matrix prediction value of the terminal scheduled by the first node at the first moment.

[0350] Optionally, in the information prediction device, the processing module 740 determines, based on the channel matrix, a predicted value of the channel matrix for scheduling the terminal by the first node at the first moment, including:

[0351] Converting the channel matrices for receiving uplink reference signals at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signals at the multiple historical times;

[0352] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0353] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0354] One embodiment of the present disclosure further provides an information prediction device, which is applied to a first node. As shown in FIG8 , the device includes:

[0355] An information acquisition module 810 is configured to, after acquiring an uplink reference signal of the terminal at a second moment, acquire service transmission prediction information of the terminal scheduled by the first node at a first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is after the second moment;

[0356] The determination module 820 is configured to determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0357] Optionally, in the information prediction device, the determination module 820 is further configured to:

[0358] Determine, according to the uplink channel quality at the first moment, a modulation and coding strategy (MCS) value for sending a physical downlink control channel to the terminal.

[0359] Optionally, the information prediction device further comprises:

[0360] The request receiving module 830 is configured to receive a subscription request sent by the first network device; the subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment;

[0361] An information sending module 840 is configured to send first information to the first network device according to the subscription request; the first information includes the measurement information;

[0362] The information acquisition module 810 acquires service transmission prediction information of the terminal scheduled by the first node at the first moment, including:

[0363] Obtain the service transmission prediction information sent by the first network device according to the first information.

[0364] Optionally, the information prediction device, wherein the subscription request includes one or more of the identification information of the subscribed terminal, subscription content and reporting method; wherein the subscription content includes the measurement information requested for subscription, and the measurement information includes uplink interference and / or channel matrix.

[0365] Optionally, in the information prediction device, the reporting method includes periodic reporting.

[0366] Optionally, in the information prediction device, the historical time includes a previous reporting period of the current reporting period, and / or a time between the previous reporting period and the current reporting period.

[0367] Optionally, in the information prediction apparatus, the information sending module 840 sends the first information to the first network device according to the subscription request, including:

[0368] According to the subscription request, the first information is sent to the first network device in the reporting manner.

[0369] Optionally, in the information prediction device, the measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block within the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0370] The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

[0371] Optionally, in the information prediction device, the uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

[0372] Optionally, the information prediction device, wherein the channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

[0373] Optionally, in the information prediction device, wherein the service transmission prediction information includes an uplink interference prediction value, the information acquisition module 810 acquires the uplink interference prediction value of the terminal scheduled by the first node at the first moment, including:

[0374] An uplink interference prediction value for scheduling the terminal at the first moment is determined based on uplink interference received on each transmission resource block within a working frequency band of a serving cell corresponding to the terminal during multiple historical times before the second moment.

[0375] Optionally, in the information prediction device, wherein the service transmission prediction information includes a channel matrix prediction value, the information acquisition module 810 acquires the channel matrix prediction value of the terminal scheduled by the first node at the first moment, including:

[0376] determining, based on historical channel data corresponding to uplink reference signals sent by the terminal received at multiple historical times before the second moment, a channel matrix for receiving the uplink reference signals at the multiple historical times;

[0377] Converting the channel matrices for receiving the uplink reference signal at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signal at the multiple historical times;

[0378] Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at a first moment;

[0379] Perform an inverse transformation on the channel characteristic prediction value to obtain the channel matrix prediction value of the first node scheduling the terminal at the first moment.

[0380] Optionally, in the information prediction device, the determining module 820 determines the uplink channel quality at the first moment according to the service transmission prediction information, including:

[0381] The uplink channel quality at the first moment is determined according to the uplink interference prediction value of the terminal scheduled by the first node at the first moment and the signal strength of the uplink reference signal received by the first node at the second moment.

[0382] Optionally, in the information prediction device, the determining module 820 determines the uplink channel quality at the first moment according to the service transmission prediction information, including:

[0383] determining, based on a predicted value of a channel matrix for scheduling the terminal by the first node at the first moment, a predicted signal strength of an uplink reference signal sent by the terminal and received by the first node at the first moment;

[0384] The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

[0385] One embodiment of the present disclosure further provides a network device, which includes a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the information prediction method as described in any one of the above items.

[0386] Among them, the network device is the above-mentioned first node or first network device, and the specific implementation method of the program running on the processor to execute the information prediction method can refer to the detailed description when the information prediction method is applied to the network device, which will not be repeated here.

[0387] In addition, a specific embodiment of the present disclosure further provides a readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the steps in the information prediction method described in any one of the above items are implemented.

[0388] Specifically, the readable storage medium is applied to the above-mentioned first node or first network device. When applied to the base station or the first network device, the execution steps in the corresponding adaptive modulation and coding method are described in detail above and will not be repeated here.

[0389] In the several embodiments provided in the present disclosure, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection of some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0390] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, each unit may be physically included separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional units.

[0391] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute some steps of the sending and receiving methods described in various embodiments of the present disclosure. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., various media that can store program code.

[0392] The above is a preferred embodiment of the present disclosure. It should be pointed out that for ordinary personnel in this technical field, several improvements and modifications can be made without departing from the principles described in the present disclosure. These improvements and modifications should also be regarded as within the scope of protection of the present disclosure.

Claims

1. An information prediction method, performed by a first network device, comprising: Sending service transmission prediction information of the terminal scheduled at the first moment to the first node; The service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is located after a second moment, and the second moment is the moment when the first node obtains an uplink reference signal sent by the terminal.

2. The information prediction method according to claim 1, further comprising: Sending a subscription request to the first node; The subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment; receiving first information sent by the first node according to the subscription request; wherein the first information includes the measurement information; The service transmission prediction information is determined according to the first information.

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

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

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

6. The information prediction method according to claim 3, wherein: Receiving first information sent by the first node according to the subscription request, including: Receive first information sent by the first node to the first network device in the reporting manner according to the subscription request; wherein the first information includes the subscription content.

7. The information prediction method according to claim 3, wherein: The measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block in the working frequency band of the serving cell where the terminal is located when the uplink interference is multiple historical times; The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

8. The information prediction method according to claim 7, wherein: The uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

9. The information prediction method according to claim 7, wherein: The channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

10. The information prediction method according to claim 6, wherein: Determining the service transmission prediction information according to the first information includes: Determine, based on the uplink interference, an uplink interference prediction value of the terminal scheduled by the first node at the first moment; and / or, based on the channel matrix, determine a channel matrix prediction value of the terminal scheduled by the first node at the first moment.

11. The information prediction method according to claim 10, wherein: Determining, according to the channel matrix, a predicted value of a channel matrix for scheduling a terminal by the first node at a first moment, comprising: Converting a channel matrix of uplink reference signals received at multiple historical times to obtain channel characteristic data of the uplink reference signals received at the multiple historical times; Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at the first moment; The channel characteristic prediction value is inversely transformed to obtain the channel matrix prediction value of the terminal scheduled by the first node at the first moment.

12. An information prediction method, performed by a first node, the method comprising: After acquiring the uplink reference signal of the terminal at the second moment, acquiring service transmission prediction information of the terminal scheduled by the first node at the first moment; The service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first time is after the second time; The uplink channel quality at the first moment is determined according to the service transmission prediction information.

13. The information prediction method according to claim 12, further comprising: Determine, according to the uplink channel quality at the first moment, a modulation and coding strategy MCS value for sending a physical downlink control channel to the terminal.

14. The information prediction method according to claim 12, further comprising: Receiving a subscription request sent by the first network device; The subscription request is used to request subscription to measurement information corresponding to the terminal obtained by the first node at a historical time before the second moment; Sending first information to the first network device according to the subscription request; The first information includes the measurement information; The acquiring of service transmission prediction information of the terminal scheduled by the first node at the first moment includes: Obtain the service transmission prediction information sent by the first network device according to the first information.

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

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

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

18. The information prediction method according to claim 15, wherein: Sending first information to the first network device according to the subscription request includes: According to the subscription request, the first information is sent to the first network device in the reporting manner.

19. The information prediction method according to claim 15, wherein: The measurement information includes uplink interference, and the uplink interference requested to be subscribed by the subscription content is the uplink interference received on each transmission resource block in the working frequency band of the serving cell where the terminal is located when the uplink interference is multiple historical times; The measurement information includes a channel matrix, and the channel matrix requested to be subscribed by the subscription content is a channel matrix corresponding to uplink reference signals received by the first node at multiple historical times.

20. The information prediction method according to claim 19, wherein: The uplink interference received on each transmission resource block includes an uplink interference value RIP received on each transmission resource block and / or an interference increase value IOT received on each transmission resource block.

21. The information prediction method according to claim 19, wherein: The channel matrix is ​​a K×M×P dimensional matrix, K is the number of subcarriers in the working frequency domain of the terminal, P is the number of antennas of the terminal, and M is the number of antennas at the receiving end of the uplink reference signal sent by the terminal.

22. The information prediction method according to claim 12, wherein: The service transmission prediction information includes an uplink interference prediction value, and obtaining the uplink interference prediction value of the terminal scheduled by the first node at the first moment includes: An uplink interference prediction value for scheduling the terminal at the first moment is determined based on uplink interference received on each transmission resource block in a working frequency band of a service cell corresponding to the terminal during multiple historical times before the second moment.

23. The information prediction method according to claim 12, wherein: The service transmission prediction information includes a channel matrix prediction value, and obtaining the channel matrix prediction value of the terminal scheduled by the first node at the first moment includes: Determine, according to historical channel data corresponding to uplink reference signals sent by the terminal received at multiple historical times before the second moment, a channel matrix for receiving the uplink reference signals at the multiple historical times; Converting the channel matrices for receiving the uplink reference signal at the multiple historical times to obtain channel characteristic data for receiving the uplink reference signal at the multiple historical times; Obtaining, according to the channel characteristic data of the uplink reference signal received at the multiple historical times, a channel characteristic prediction value for scheduling the terminal by the first node at the first moment; The channel characteristic prediction value is inversely transformed to obtain the channel matrix prediction value of the terminal scheduled by the first node at the first moment.

24. The information prediction method according to claim 12, wherein: Determining the uplink channel quality at the first moment according to the service transmission prediction information includes: The uplink channel quality at the first moment is determined according to the uplink interference prediction value of the terminal scheduled by the first node at the first moment and the signal strength of the uplink reference signal received by the first node at the second moment.

25. The information prediction method according to claim 12, wherein: Determining the uplink channel quality at the first moment according to the service transmission prediction information includes: Determine, according to a predicted value of a channel matrix for scheduling the terminal by the first node at the first moment, a predicted signal strength of an uplink reference signal sent by the terminal and received by the first node at the first moment; The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

26. A network device, the network device being a first network device, comprising a transceiver, the transceiver being configured to: Sending service transmission prediction information of the terminal scheduled at the first moment to the first node; the service transmission The prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein, The first time is after a second time, and the second time is a time when the first node obtains an uplink reference signal sent by a terminal.

27. A node device, the node device being a first node, comprising a transceiver and a processor, wherein: The transceiver is used to obtain, after obtaining the uplink reference signal of the terminal at the second moment, service transmission prediction information of the terminal scheduled by the first node at the first moment; the service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is located after the second moment; The processor is used to determine the uplink channel quality at the first moment according to the service transmission prediction information.

28. An information prediction device, applied to a first network device, the information prediction device comprising: An information sending module, used to send service transmission prediction information of the terminal scheduled at the first moment to the first node; The service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first moment is located after a second moment, and the second moment is the moment when the first node obtains an uplink reference signal sent by the terminal.

29. An information prediction device, applied to a first node, the information prediction device comprising: An information acquisition module, configured to acquire, after acquiring the uplink reference signal of the terminal at the second moment, service transmission prediction information of the terminal scheduled by the first node at the first moment; The service transmission prediction information includes an uplink interference prediction value and / or a channel matrix prediction value; wherein the first time is after the second time; A determination module is used to determine the uplink channel quality at the first moment according to the service transmission prediction information.

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

31. A readable storage medium having a program stored thereon, wherein when the program is executed by a processor, the program implements the steps of the information prediction method according to any one of claims 1 to 11, or implements the steps of the information prediction method according to any one of claims 12 to 25.

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