Information prediction method and device, network equipment and node equipment

Abstract

The invention provides an information prediction method and device, network equipment and node equipment. The method comprises the following steps: sending service transmission prediction information of a scheduling terminal at a first moment to a first node; the service transmission prediction information comprises an uplink interference prediction value and / or a channel matrix prediction value; 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. By adopting the method, a first network device can send service transmission prediction information of a first moment scheduling terminal to a first node, and the first moment is located after a second moment of acquiring an uplink reference signal sent by the terminal, so that the first node can schedule the service transmission prediction information of the terminal according to the service transmission prediction information of the terminal at the first moment. And determining the uplink channel quality, ensuring that the selected MCS value can conform to the channel quality at the uplink PUSCH data service transmission moment, and avoiding the problem that the selected MCS value does not conform to the channel quality at the uplink PUSCH data service transmission moment.

Description

Technical Field

[0001] The present invention relates to the field of wireless technology, and in particular to an information prediction method, device, network equipment and node equipment. Background Art

[0002] In 4G Long Term Evolution (LTE) and 5G New Radio (NR) communication systems, Adaptive Modulation and Coding (AMC) technology is usually used to cope with the time-varying characteristics of the wireless channel to ensure the transmission quality of the wireless link. AMC is a technology that adaptively adjusts the modulation mode and coding rate of wireless link transmission according to the changes in the wireless channel: when the channel quality is poor, a lower-order Modulation and Coding Scheme (MCS) is selected, and when the channel quality is good, a higher-order MCS is selected, thereby maximizing the transmission efficiency of the wireless link while ensuring the reliability of the wireless link transmission.

[0003] At present, inner loop control and outer loop control are usually used to select and adjust MCS. In the inner loop control, the base station selects the appropriate MCS value by looking up the table according to the signal to interference plus noise ratio (SINR) information obtained by measuring the uplink reference signal; in the outer loop control, the base station adjusts the MCS value according to the success / failure of the cyclic redundancy check (CRC) of the physical uplink shared channel (PUSCH) obtained by decoding, so that the block error rate (BLER) slowly converges to the BLER target.

[0004] In the existing MCS selection method, the time when the base station measures the UL SINR is different from the time when the uplink PUSCH data service is to be scheduled for transmission. The channel quality has changed after several milliseconds. In the case of large interference fluctuations, the base station cannot select a suitable MCS based on the channel quality at the time when the uplink PUSCH data service is to be scheduled for transmission, resulting in the selected MCS being unable to meet the high reliability and low latency transmission requirements of wireless network transmission. Summary of the invention

[0005] The technical solution of the present invention aims to provide an information prediction method, device, network equipment and node equipment, which are used to solve the problem that 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 not matching the channel quality at the moment of the uplink PUSCH data service transmission, and failing to meet the high reliability and low latency transmission requirements of the wireless network transmission.

[0006] One embodiment of the present invention provides an information prediction method, wherein the method is performed by a first network device, and the method includes:

[0007] Sending 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

[0008] Optionally, the information prediction method further comprises:

[0009] 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;

[0010] receiving first information sent by the first node according to the subscription request; wherein the first information includes the measurement information;

[0011] The service transmission prediction information is determined according to the first information.

[0012] Optionally, in the information prediction method, 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.

[0013] Optionally, in the information prediction method, the reporting method includes periodic reporting.

[0014] Optionally, in the information prediction method, the historical time includes a previous reporting cycle of the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0015] Optionally, in the information prediction method, receiving the first information sent by the first node according to the subscription request includes:

[0016] 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.

[0017] Optionally, in the information prediction method, 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 at multiple historical times;

[0018] 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.

[0019] 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.

[0020] Optionally, in the information prediction method, 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.

[0021] Optionally, in the information prediction method, determining the service transmission prediction information according to the first information includes:

[0022] 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.

[0023] Optionally, the information prediction method, wherein determining, according to the channel matrix, a channel matrix prediction value of a terminal scheduled by the first node at a first moment, comprises:

[0024] Converting the channel matrices of uplink reference signals received at the multiple historical times to obtain channel characteristic data of the uplink reference signals received at the multiple historical times;

[0025] 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;

[0026] 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.

[0027] One embodiment of the present invention further provides an information prediction method, wherein the method is performed by a first node and includes:

[0028] 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 moment is after the second moment;

[0029] The uplink channel quality at the first moment is determined according to the service transmission prediction information.

[0030] Optionally, the information prediction method further comprises:

[0031] 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.

[0032] Optionally, the information prediction method further comprises:

[0033] receiving a subscription request sent by a 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;

[0034] Sending first information to the first network device according to the subscription request; the first information includes the measurement information;

[0035] The acquiring of service transmission prediction information of the terminal scheduled by the first node at the first moment includes:

[0036] Obtain the service transmission prediction information sent by the first network device according to the first information.

[0037] Optionally, in the information prediction method, 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.

[0038] Optionally, in the information prediction method, the reporting method includes periodic reporting.

[0039] Optionally, in the information prediction method, the historical time includes a previous reporting cycle of the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0040] Optionally, in the information prediction method, sending the first information to the first network device according to the subscription request includes:

[0041] According to the subscription request, the first information is sent to the first network device in the reporting manner.

[0042] Optionally, in the information prediction method, 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 at multiple historical times;

[0043] 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.

[0044] 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.

[0045] Optionally, in the information prediction method, 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.

[0046] 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:

[0047] 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.

[0048] 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:

[0049] 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;

[0050] 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;

[0051] 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;

[0052] 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.

[0053] Optionally, the information prediction method, wherein determining the uplink channel quality at the first moment according to the service transmission prediction information, includes:

[0054] 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.

[0055] Optionally, the information prediction method, wherein determining the uplink channel quality at the first moment according to the service transmission prediction information, includes:

[0056] 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;

[0057] The uplink channel quality at the first moment is determined according to the predicted signal strength and the uplink interference prediction value.

[0058] One embodiment of the present invention further provides a network device, wherein the network device is a first network device, comprising a transceiver, and the transceiver is used to:

[0059] Sending 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

[0060] One embodiment of the present invention further provides a node device, wherein the node device is a first node, including a transceiver and a processor, wherein:

[0061] 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;

[0062] The processor is used to determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0063] One embodiment of the present invention further provides an information prediction device, which is applied to a first network device and includes:

[0064] 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

[0065] One embodiment of the present invention further provides an information prediction device, which is applied to a first node and includes:

[0066] An information acquisition module, configured to acquire, after acquiring an uplink reference signal of the terminal at a 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 after the second moment;

[0067] A determination module is used to determine the uplink channel quality at the first moment according to the service transmission prediction information.

[0068] One embodiment of the present invention 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 implements the information prediction method as described in any one of the above items when executed by the processor.

[0069] One embodiment of the present invention 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 the information prediction method as described in any one of the above items are implemented.

[0070] At least one of the above technical solutions of the present invention has the following beneficial effects:

[0071] By adopting the information prediction method described in the embodiment of the present invention, 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 acquiring the uplink reference signal sent by the terminal, so that the first node can determine the uplink channel quality according to 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

[0072] Figure 1 This is a flow chart of the information prediction method according to the first embodiment of the present invention;

[0073] Figure 2 A schematic diagram of a flow chart of implementation mode 1 of the method according to an embodiment of the present invention;

[0074] Figure 3 This is a flow chart of implementation mode 2 of the method according to the embodiment of the present invention;

[0075] Figure 4 This is a flow chart of the information prediction method according to the second embodiment of the present invention;

[0076] Figure 5 A schematic diagram of the structure of a network device according to an embodiment of the present invention;

[0077] Figure 6 A schematic diagram of the structure of a node device according to an embodiment of the present invention;

[0078] Figure 7 This is a schematic diagram of the structure of the information prediction device according to the first embodiment of the present invention;

[0079] Figure 8 It is a schematic diagram of the structure of the information prediction device described in the second embodiment of the present invention. DETAILED DESCRIPTION

[0080] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0081] In order to solve the problem that in the MCS selection method of the prior art, 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 being unable to meet the high reliability and low latency transmission requirements of wireless network transmission, an embodiment of the present invention provides an information prediction method, wherein a first network device can send service transmission prediction information of a terminal (terminal sending PUSCH) scheduled at a first moment to a first node, and the first moment is located after a second moment of obtaining an uplink reference signal sent by the terminal, so that the first node can determine the uplink channel quality according to 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 being unable to meet the high reliability and low latency transmission requirements of wireless network transmission.

[0082] One embodiment of the present invention provides an information prediction method, which is executed by a first network device, such as Figure 1 As shown, the method includes:

[0083] 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.

[0084] In the embodiment of the present invention, 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.

[0085] In the embodiment of the present invention, optionally, the first moment is the moment when the base station schedules the terminal, that is, the moment when the terminal sends the 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.

[0086] In addition, the embodiment of the present invention 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.

[0087] In an embodiment of the present invention, 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 according to the service transmission prediction information of the terminal scheduled at the first moment, so as to be able to select a more appropriate 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.

[0088] Optionally, in one embodiment, the method further comprises:

[0089] 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;

[0090] receiving first information sent by the first node according to the subscription request; wherein the first information includes the measurement information;

[0091] The service transmission prediction information is determined according to the first information.

[0092] By adopting this implementation mode, 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 the first information fed back by the first node according to the subscription request, and determine the service transmission prediction information.

[0093] In the embodiment of the present invention, optionally, the first network device sends a subscription request to the first node through an interface connected to the first node.

[0094] In one implementation mode, optionally, 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.

[0095] Optionally, the reporting method includes but is not limited to only periodic reporting.

[0096] In addition, 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.

[0097] In one implementation manner, 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 in the working frequency band of the serving cell where the terminal is located at multiple historical times;

[0098] 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.

[0099] 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.

[0100] Optionally, the transmission resource block includes a resource block (Resource Block, RB) and / or a resource block group (Resource Block Group, RBG).

[0101] 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 in the working frequency band of the service cell where the terminal is located, 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). In an embodiment of the present invention, optionally, the uplink interference between the previous reporting period and the current reporting period for which subscription is requested is the average interference value within the time.

[0102] And / or, the subscription request is used to request the subscription of 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 of the receiving end of the uplink reference signal sent by the terminal. In an embodiment of the present invention, 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 are included.

[0103] In an embodiment of the present invention, in another implementation mode, 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, and the first information includes the measurement information requested to be subscribed by the first network device, that is, including the uplink interference and / or channel matrix requested to be subscribed.

[0104] The first network device receiving the first information sent by the first node according to the subscription request includes:

[0105] 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.

[0106] Specifically, the subscription content includes uplink interference and / or channel matrix.

[0107] Among them, the subscription content in the first information includes the uplink interference value RIP received by each RB / RBG in the working frequency band of the service cell where the terminal is located 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), and / or the interference rise value IOT received by each RB / RBG. In an embodiment of the present invention, 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.

[0108] 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.

[0109] Table 1

[0110] RB or RBG number RIP 1 -70 2 -80 3 -85 … … M -76

[0111] 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 of the receiving end of the uplink reference signal sent by the terminal. In an embodiment of the present invention, 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 the sampling data of all channel matrices within this time.

[0112] In the embodiment of the present invention, 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:

[0113] 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.

[0114] Specifically, the first network device performs data processing, model training, and model reasoning according to 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.

[0115] Among them, when the first network device determines the uplink interference prediction value of the terminal scheduled by the first node at the first moment according to the uplink interference, the uplink interference prediction can be implemented based on the AI ​​method.

[0116] 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.

[0117] Taking the preset historical time range where the interval of each historical period is 1 TTI as an example, in the T historical periods before the second moment t, the RIP received by each transmission resource block within the working frequency band of the service cell where the corresponding terminal is located can be expressed as shown in Table 2, where T is an integer greater than or equal to 1.

[0118] Table 2

[0119]

[0120] 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 (the first moment) after the second moment t, that is, determine the RIP received by each transmission resource block within the working frequency band of the service cell where the terminal is located, which can be specifically shown in Table 3 below.

[0121] Table 3

[0122] RB or RBG number t+k 1 <![CDATA[RIP1(t+k)]]> 2 <![CDATA[RIP2(t+k)]]> … … M <![CDATA[RIP M (t+k)]]>

[0123] 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 as 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.

[0124] 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 (Long Short-Term Memory, LSTM), and temporal convolutional network.

[0125] Another implementation manner of the information prediction method of the embodiment of the present invention is to determine, according to the channel matrix, a channel matrix prediction value of the terminal scheduled by the first node at the first moment, including:

[0126] Converting the channel matrices of uplink reference signals received at the multiple historical times to obtain channel characteristic data of the uplink reference signals received at the multiple historical times;

[0127] 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;

[0128] 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.

[0129] Using this implementation mode, 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 the 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, sends the channel matrix of multiple historical times to the first network device, and the first network device determines the channel matrix prediction value of the terminal scheduled by the first node at the first moment based on the channel matrix of the multiple historical times.

[0130] 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:

[0131] Formula 1:

[0132] Among them, 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-level 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.

[0133] Therefore, according to the channel matrix of the uplink reference signal received by the base station in Formula 1, the corresponding relationship between 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 receiving 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.

[0134] In the embodiment of the present invention, according to the above, the historical channel data includes the first channel data of the uplink reference signal sent by the terminal at the kth subcarrier and the pth antenna, and the second channel data of the uplink reference signal received by the base station at the rth antenna and the kth subcarrier of the terminal;

[0135] 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 integers greater than 0 respectively.

[0136] 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, 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.

[0137] In the information prediction method described in the embodiment of the present invention, when the first network device obtains the channel matrix prediction value of the scheduled terminal at the first moment, after the first node (base station) obtains the channel matrix for receiving the uplink reference signal at the multiple historical times, the first network device converts the channel matrix for receiving the uplink reference signal at the multiple historical times to obtain the channel characteristic data of the uplink reference signal received at the multiple historical times.

[0138] Specifically, the channel matrix of the uplink reference signal received at the second time t may be transformed using the following formula 2 to obtain the channel characteristic data of the uplink parameter signal received at the second time t:

[0139] Formula 2:

[0140]

[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 structure transformation matrix.

[0142] Optionally, the channel matrix of the uplink reference signal received at the second time t may be transformed using structural transformation methods such as multidimensional DFT and SVD; therefore, the structural transformation matrix G may be a DFT matrix in multidimensional DFT transformation or a transformation orthogonal basis in SVD transformation.

[0143] By adopting this principle, the channel matrix of the uplink reference signal received at each historical time (such as t1, t2, ..., tT) in multiple historical times is converted to obtain the channel characteristic data of the uplink reference signal received at each historical time, that is, to obtain the channel characteristics predictable in the time domain, which can be recorded respectively 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 AR autoregressive model 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 during 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 TTI time before the first time 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 mode, 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 characteristic 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 time is outdated and the appropriate MCS cannot be selected. Using the information prediction method described in the embodiment of the present invention, 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 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 implementation manner, 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 for 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, schedules the uplink interference prediction value of the terminal at the first moment (n+Δ)tti, and 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 by 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 moves 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 implementation manner, 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 according to the service transmission prediction information, including:

[0164] determining, according to 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 when the base station receives it at the first time (n+Δ)tti: 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 the time (n+Δ)tti, where X is the value of the base station configuration and uplink power control function. n+Δ (k, p) is the known information of the base station. K is the total number of subcarriers of the scheduled terminal i in a certain frequency domain, 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 the time (n+Δ)tti can be calculated by 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 according to the service transmission prediction information is only an example and is not limited to this. Examples are not given separately for each implementation method herein.

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

[0175] The first node determines the uplink channel quality used 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, according to the outer loop control, the uplink channel quality is cumulatively calculated in combination with 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, so as to achieve 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, so that the accurate uplink channel quality at the first moment is determined based on the CRC check result combined with the uplink channel quality at the first moment predicted by the above method.

[0178] In addition, in the embodiment of the present invention, the first node determines, according to 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 predicts 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 predicts 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 invention 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 according to the uplink interference received on each transmission resource block in the working frequency band of the serving cell where the terminal is located within multiple historical times before the second moment; and / or

[0184] The first node (base station) determines, 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;

[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 the first moment;

[0187] 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.

[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 invention, the specific implementation method of determining the uplink interference prediction value and / or the channel matrix prediction value of the base station scheduling the terminal at the first moment according to the uplink interference information and the channel matrix by the first network device can be combined with Figure 2 As shown, the following steps are included:

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

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

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

[0193] S203, the first network device calculates the uplink interference prediction value at the first moment according to the RIP and / or IOT at multiple historical times; wherein the uplink interference prediction value at the first moment may be the RIP and / or IOT received by each RB / RBG when the terminal is scheduled at the first moment. Specifically, the training and reasoning process of the AI ​​model may be used to obtain the RIP and / or IOT 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, indicating that the uplink reference signal sent on the kth subcarrier at the multiple historical times is transmitted from the pth antenna of the terminal to the rth antenna of the base station; k, p, and r are integers greater than 0 respectively;

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

[0199] S207: The first network device determines a channel matrix prediction value for scheduling the terminal at the first moment according to 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 the channel matrix prediction value at the first moment.

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

[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 an embodiment of the present invention, 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 the channel matrix prediction value according to 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 invention, 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 is used to obtain uplink interference information received on each transmission resource block in a working frequency band of a serving cell where the terminal is located at multiple historical times before the second moment sent by the base station, and a channel matrix corresponding to an uplink reference signal sent by the terminal received in 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 reasoning 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 through the E2 interface. The base station uses the AMC algorithm to analyze and process the uplink interference prediction value and / or channel matrix prediction, obtains the uplink channel quality at the first moment, and determines the MCS value for sending the uplink scheduling control information to the terminal at the first moment according to the uplink channel quality.

[0212] In this implementation, optionally, the wireless intelligent control platform includes a Near-RT RIC platform and an xAPP platform, the xAPP platform is used to implement interference prediction, send a data subscription request to the Near-RT RIC platform through the RIC API, and the Near-RT RIC platform further forwards the data subscription request to the base station through the E2 interface.

[0213] This implementation method uses the enhanced E2 interface that connects Near-RT RIC and the base station to enable Near-RT RIC to subscribe to and receive uplink interference and channel matrix data; based on Near-RT RIC / xAPP, uplink interference and channel matrix prediction model training and real-time model reasoning are implemented; the enhanced E2 interface enables Near-RT RIC to send down uplink interference and channel matrix prediction values. This helps the base station improve the accuracy of channel quality prediction, thereby selecting a more appropriate MCS and meeting the requirements of uRLLC and other services for high reliability and low latency of wireless networks.

[0214] like Figure 3 The figure shows a flow chart of one implementation of the adaptive coding method according to an embodiment of the present invention. The specific implementation process of this implementation 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 to subscribe to the uplink interference value RIP received by each RB / RBG in the working frequency band of the serving cell where the terminal is located, or the interference rise value IOT received by each RB / RBG

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

[0220] S304, the base station periodically sends RIP and / or IOT (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 the uplink interference prediction value at the first moment according to the RIP and / or IOT at multiple historical times; wherein the uplink interference prediction value at the first moment may be the RIP and / or IOT received by each RB / RBG when the terminal is scheduled at the first moment. Specifically, the training and reasoning process of the AI ​​model may be used to obtain the RIP and / or IOT 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 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, indicating that the uplink reference signal sent on the kth subcarrier at the multiple historical times is transmitted from the pth antenna of the terminal to the rth antenna of the base station; k, p, and r are integers greater than 0, respectively;

[0233] Specifically, according to Formula 1, the base station may determine the channel matrix corresponding to receiving the uplink reference signal sent by the terminal at multiple historical times. The specific determination method may 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 of the terminal scheduled at the first moment according to the channel matrices corresponding to the uplink reference signals sent by the terminal received at the multiple historical times.

[0236] Specifically, the xAPP platform can 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.

[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 according to 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 an AMC enhancement algorithm according to the determined uplink channel quality;

[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 an embodiment of the present invention, 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 according to the request, and send them synchronously to the base station through the Near-RT RIC platform.

[0244] In the embodiment of the present invention, 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 invention further provides an information prediction method, which is executed by a first node, such as Figure 4 As shown, the method includes:

[0246] S410, 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 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, only 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 prior 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; 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, in the information prediction method, 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 cycle of the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[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 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 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, in the information prediction method, 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 in a working frequency band of a service 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] 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;

[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 the first moment;

[0273] 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.

[0274] By adopting 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] 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;

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

[0280] The specific implementation of the information prediction method described in the embodiment of the present invention when applied to the first node can 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 invention further provides a network device, wherein the network device is a first network device, such as Figure 5 As shown, the first network device 500 includes a processor 510 and a transceiver 520, wherein the transceiver 520 is used to:

[0282] Sending 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

[0283] Optionally, in the network device, the transceiver 520 is further used for:

[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 cycle of a current reporting cycle, and / or a time between a previous reporting cycle and a current reporting cycle.

[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, the network 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 respectively on each transmission resource block in the working frequency band of the serving cell where the terminal is located when the uplink interference is a plurality of the 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, based on the channel matrix, determine 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 a channel matrix for scheduling a terminal by the first node at a first moment, including:

[0299] Converting the channel matrices of uplink reference signals received at the multiple historical times to obtain channel characteristic data of the uplink reference signals received 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 the first moment;

[0301] 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.

[0302] One embodiment of the present invention further provides a node device, wherein the node device is a first node, such as Figure 6 As shown, the first node 600 includes a transceiver 610 and a processor 620, wherein:

[0303] The transceiver 610 is used to obtain, after obtaining the uplink reference signal of the terminal at the second moment, the 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 used for:

[0308] receiving a subscription request sent by a 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;

[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 a current reporting cycle, and / or a time between a previous reporting cycle and a current reporting cycle.

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

[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 respectively on each transmission resource block in the working frequency band of the serving cell where the terminal is located when the uplink interference is a plurality of the 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 in a working frequency band of a service 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] 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;

[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 the first moment;

[0327] 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.

[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] 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;

[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 invention further provides an information prediction device, which is applied to a first network device, such as Figure 7 As shown, the device comprises:

[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 first node obtains the uplink reference signal sent by the terminal at the second moment.

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

[0336] A request sending module 720 is used to send a subscription request to the first node; the subscription request is used to request subscription to the 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 used 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 cycle of the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[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, the information prediction 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 in 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, based on the channel matrix, determine 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, according to the channel matrix, a channel matrix prediction value of the terminal scheduled by the first node at the first moment, including:

[0351] Converting the channel matrices of uplink reference signals received at the multiple historical times to obtain channel characteristic data of the uplink reference signals received 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 the first moment;

[0353] 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.

[0354] One embodiment of the present invention further provides an information prediction device, which is applied to a first node, such as Figure 8 As shown, the device comprises:

[0355] The information acquisition module 810 is 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 moment is after the second moment;

[0356] The determination module 820 is used 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 used to receive a subscription request sent by the first network device; the subscription request is used to request subscription to the 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 the 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 cycle of the current reporting cycle, and / or the time between the previous reporting cycle and the current reporting cycle.

[0367] Optionally, in the information prediction device, 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, the information prediction 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 in 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 in a working frequency band of a service 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] 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;

[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 the first moment;

[0379] 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.

[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] 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;

[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 invention 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 implements the information prediction method as described in any one of the above items when executed by the processor.

[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 invention 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 application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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 through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0390] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may be physically included separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of 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, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the sending and receiving methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

[0392] The above is a preferred embodiment of the present invention. 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 of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An information prediction method, characterized in that: Executed by a first network device, the method includes: Sending 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

2. The information prediction method according to claim 1, characterized in that: The method further comprises: 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, characterized in that: 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, characterized in that: The reporting method includes periodic reporting.

5. The information prediction method according to claim 2, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: Executed by the first node, the method includes: 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 moment is after the second moment; 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, characterized in that: The method further comprises: 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, characterized in that: The method further comprises: receiving a subscription request sent by a 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, characterized in that: 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, characterized in that: The reporting method includes periodic reporting.

17. The information prediction method according to claim 14, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: The network device is a first network device, comprising a transceiver, wherein the transceiver is used for: Sending 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

27. A node device, characterized in that: The node device is a first node, including 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, characterized in that: Applied to a first network device, comprising: 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 first node obtains an uplink reference signal sent by the terminal at the second moment.

29. An information prediction device, characterized in that: Applied to a first node, the device comprises: An information acquisition module, configured to acquire, after acquiring an uplink reference signal of the terminal at a 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 after the second moment; 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, characterized in that: The invention comprises a processor, a memory and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the information prediction method according to any one of claims 1 to 11 is implemented, or the information prediction method according to any one of claims 12 to 25 is implemented.

31. A readable storage medium, characterized in that: The readable storage medium stores a program, and when the program is executed by a processor, it 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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