CN117479179A

CN117479179A - Dynamic adjustment method and device for channel quality indication CQI

Info

Publication number: CN117479179A
Application number: CN202210841921.5A
Authority: CN
Inventors: 骆纯; 李天宬; 刘蓉; 梁小雨
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2022-07-18
Filing date: 2022-07-18
Publication date: 2024-01-30

Abstract

The application discloses a dynamic adjustment method and device for Channel Quality Indicator (CQI), and relates to the technical field of communication. The specific implementation scheme is as follows: receiving CQI sent by terminal equipment; determining a target adjustment scenario of the CQI; and dynamically adjusting the CQI based on the target adjustment scene to acquire the target CQI. The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to an actual transmission state, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve the overall performance index of a system, and ensure that the initial transmission block error rate reaches the requirement of the target block error rate as much as possible.

Description

Dynamic adjustment method and device for channel quality indication CQI

Technical Field

The disclosure relates to the technical field of communication, and in particular relates to a method and a device for dynamically adjusting Channel Quality Indicator (CQI).

Background

In a communication system, uplink and downlink scheduling generally refers to uplink and downlink transmission link quality indication (Channel Quality Indicator, CQI) measurement results to make a decision, and due to the influence of factors such as errors and time delay between the measurement results and an actual channel, CQI correction is often required to be introduced to adjust the measurement results so as to match the actual channel conditions. If burst strong interference occurs in communication or the scheduling modulation and coding scheme (Modulation and Coding Scheme, MCS) is higher than the actual channel quality because of low scheduling frequency and few correction samples, NACK (Not Acknowledgement, negative) feedback is transmitted more, and the initial transmission block error rate (Block Error Ratio, BLER) cannot reach the expected target value, so that the overall performance index of the system is finally affected. Therefore, how to quickly correct the CQI and improve the accuracy of dynamic adjustment of the CQI has become one of important research directions.

Disclosure of Invention

The disclosure provides a dynamic adjustment method and device for Channel Quality Indicator (CQI).

According to an aspect of the present disclosure, there is provided a method for dynamically adjusting CQI, including:

receiving CQI sent by terminal equipment;

determining a target adjustment scenario of the CQI;

and dynamically adjusting the CQI based on the target adjustment scene to acquire the target CQI.

According to another aspect of the present disclosure, there is provided a dynamic CQI adjustment apparatus, including:

a receiving module, configured to receive a CQI sent by a terminal device;

a determining module, configured to determine a target adjustment scenario of the CQI;

and the adjusting module is used for dynamically adjusting the CQI based on the target adjusting scene so as to acquire the target CQI.

According to another aspect of the present disclosure, there is provided a communication apparatus, comprising:

at least one processor; and

a transceiver, a memory, communicatively coupled to the at least one processor; wherein,

a transceiver for receiving and transmitting data under the control of the processor;

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for dynamic adjustment of CQI of the present application.

According to another aspect of the present disclosure, there is provided a processor-readable storage medium, wherein the processor-readable storage medium stores a computer program for causing a processor to perform the dynamic adjustment method of CQI of the present application.

The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to an actual transmission state, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve the overall performance index of a system, and ensure that the initial transmission block error rate reaches the requirement of the target block error rate as much as possible.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for better understanding of the present solution and do not constitute a limitation of the present application. Wherein:

fig. 1 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure;

fig. 2 is a flow chart of a method of dynamic adjustment of CQI according to an embodiment of the present disclosure;

Fig. 3 is a flow chart of a method of dynamic adjustment of CQI according to an embodiment of the present disclosure;

fig. 4 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure;

fig. 5 is a schematic diagram of a dynamic adjustment method of CQI according to an embodiment of the present disclosure;

fig. 6 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure;

fig. 7 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure;

fig. 8 is a flow chart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure

Fig. 9 is a schematic structural diagram of a dynamic CQI adjustment apparatus according to an embodiment of the present disclosure;

fig. 10 is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.

Detailed Description

In the embodiment of the invention, the term "and/or" describes the association relation of the association objects, which means that three relations can exist, for example, a and/or B can be expressed as follows: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "plurality" in the embodiments of the present application means two or more, and other adjectives are similar thereto.

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

Embodiments of the present application provide … methods and apparatus for ….

The method and the device are based on the same application, and because the principles of solving the problems by the method and the device are similar, the implementation of the device and the method can be referred to each other, and the repetition is not repeated.

The technical scheme provided by the embodiment of the application can be suitable for various systems, in particular to a 5G system. For example, suitable systems may be global system for mobile communications (global system of mobile communication, GSM), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) universal packet Radio service (general packet Radio service, GPRS), long term evolution (long term evolution, LTE), LTE frequency division duplex (frequency division duplex, FDD), LTE time division duplex (time division duplex, TDD), long term evolution-advanced (long term evolution advanced, LTE-a), universal mobile system (universal mobile telecommunication system, UMTS), worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX), 5G New air interface (New Radio, NR), and the like. Terminal devices and network devices are included in these various systems. Core network parts such as evolved packet system (Evloved Packet System, EPS), 5G system (5 GS) etc. may also be included in the system.

The terminal device according to the embodiments of the present application may be a device that provides voice and/or data connectivity to a user, a handheld device with a wireless connection function, or other processing device connected to a wireless modem, etc. The names of the terminal devices may also be different in different systems, for example in a 5G system, the terminal devices may be referred to as User Equipment (UE). The wireless terminal device may communicate with one or more Core Networks (CNs) via a radio access Network (Radio Access Network, RAN), which may be mobile terminal devices such as mobile phones (or "cellular" phones) and computers with mobile terminal devices, e.g., portable, pocket, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange voice and/or data with the radio access Network. Such as personal communication services (Personal Communication Service, PCS) phones, cordless phones, session initiation protocol (Session Initiated Protocol, SIP) phones, wireless local loop (Wireless Local Loop, WLL) stations, personal digital assistants (Personal Digital Assistant, PDAs), and the like. The wireless terminal device may also be referred to as a system, subscriber unit (subscriber unit), subscriber station (subscriber station), mobile station (mobile), remote station (remote station), access point (access point), remote terminal device (remote terminal), access terminal device (access terminal), user terminal device (user terminal), user agent (user agent), user equipment (user device), and the embodiments of the present application are not limited.

The network device according to the embodiment of the present application may be a base station, where the base station may include a plurality of cells for providing services for a terminal. A base station may also be called an access point or may be a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or other names, depending on the particular application. The network device may be operable to exchange received air frames with internet protocol (Internet Protocol, IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiments of the present application may be a network device (Base Transceiver Station, BTS) in a global system for mobile communications (Global System for Mobile communications, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a network device (NodeB) in a wideband code division multiple access (Wide-band Code Division Multiple Access, WCDMA), an evolved network device (evolutional Node B, eNB or e-NodeB) in a long term evolution (long term evolution, LTE) system, a 5G base station (gNB) in a 5G network architecture (next generation system), a home evolved base station (Home evolved Node B, heNB), a relay node (relay node), a home base station (femto), a pico base station (pico), and the like. In some network structures, the network device may include a Centralized Unit (CU) node and a Distributed Unit (DU) node, which may also be geographically separated.

Multiple-input Multiple-output (Multi Input Multi Output, MIMO) transmissions may each be made between a network device and a terminal device using one or more antennas, and the MIMO transmissions may be Single User MIMO (SU-MIMO) or Multiple User MIMO (MU-MIMO). The MIMO transmission may be 2D-MIMO, 3D-MIMO, FD-MIMO, or massive-MIMO, or may be diversity transmission, precoding transmission, beamforming transmission, or the like, depending on the form and number of the root antenna combinations.

Fig. 1 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:

s101, receiving CQI sent by the terminal equipment.

The CQI is used for measuring channel quality, and is used as a reference index for uplink and downlink scheduling.

In some implementations, if the CQI reporting interval exceeds a preset time threshold or the CQI is not received for some reason, the CQI may also be obtained according to the channel state information.

S102, determining a target adjustment scene of CQI.

In some implementations, a target adjustment scenario for the CQI may be determined based on a difference between a currently received first CQI and a last received second CQI;

in some implementations, if the CQI reporting interval exceeds a preset time threshold or the CQI is not received for some reason, the target adjustment scenario of the CQI may also be determined according to the measured channel state information.

Optionally, in the embodiment of the present application, the channel state information may be reference signal received power (Reference Signal Received Power, RSRP) reported by the UE, or may be uplink received power and path loss measured according to a sounding reference signal (Sounding Refernece Symbol, SRS).

Alternatively, or in an embodiment of the present application, the channel state information may be a power margin report (Power Headroom Report, PHR) value sent by the UE.

Alternatively, or in an embodiment of the present application, the channel state information may be a Signal-to-Interference plus Noise Ratio (SINR) of a physical uplink shared channel (Physical Uplink Shared Channel, PUSCH) measured by the network device.

Alternatively, or in an embodiment of the present application, the channel state information may be a current serving cell interference over thermal noise (Interference over Thermal, ioT) level measured by the network device.

S103, the CQI is dynamically adjusted based on the target adjustment scene so as to acquire the target CQI.

In some implementations, it is determined based on the target adjustment scenario that the currently received first CQI or the last received second CQI needs to be adjusted, that is, the currently received first CQI or the last received second CQI is dynamically adjusted based on the target adjustment scenario.

In some implementations, a target adjustment step size for adjusting the CQI is determined based on a target adjustment scenario, and the CQI is adjusted according to the target adjustment step size to obtain a target CQI.

In some implementations, if it is determined that the currently received first CQI needs to be adjusted based on the target adjustment scenario, the first CQI is dynamically adjusted based on the target adjustment step to obtain the target CQI.

In some implementations, if it is determined that the currently received second CQI needs to be adjusted based on the target adjustment scenario, the second CQI is dynamically adjusted based on the target adjustment step to obtain the target CQI.

In a communication system, network equipment manages transmission of an actual data channel through an HARQ (Hybrid Automatic Repeat Request ) process, if an MCS level used for a transmission data block of a certain HARQ process is higher than an actual channel condition, decoding failure may be caused, the network equipment receives NACK feedback, retransmission is initiated, wireless air interface resources are occupied by retransmission, transmission delay is increased, and indexes such as transmission rate of a cell are affected while UE experience is affected; if the MCS level used for the transmission data block of a certain HARQ process is lower than the actual channel condition, although the decoding is correct, the network device receives Acknowledgement (ACK) feedback and initiates new data transmission, but the transmission efficiency is low and the air interface resource is wasted due to the lower MCS than the actual channel condition. Therefore, in the embodiment of the application, the target CQI is obtained by dynamically adjusting the CQI, and then the MCS level used for adjusting and scheduling according to the target CQI is matched with the channel condition as much as possible, so that the primary BLER is ensured to reach the requirement of the target BLER as much as possible.

In the embodiment of the application, CQI sent by the terminal equipment is received; determining a target adjustment scenario of the CQI; and dynamically adjusting the CQI based on the target adjustment scene to acquire the target CQI. The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to an actual transmission state, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve the overall performance index of a system, and ensure that the initial transmission BLER reaches the requirement of the target BLER as much as possible.

Fig. 2 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 2, the method includes:

s201, receiving CQI sent by the terminal equipment.

The description of step S201 may be referred to the relevant content in the above embodiment, and will not be repeated here.

S202, determining the first channel state information of the current measurement and the second channel state information of the last measurement.

If shielding appears suddenly, the channel quality will drop rapidly, if shielding disappears, the channel quality will rise rapidly, and whether the channel quality is stable or not can be reflected by the channel state information.

In some implementations, the first channel state information includes a first CQI currently received and the second channel state information includes a second CQI last received.

In some implementations, the first channel state information includes a first RSRP currently received or measured and the second channel state information includes a second RSRP last received or measured.

In some implementations, the first channel state information includes a first SINR currently measured and the second channel state information includes a second SINR last measured.

In some implementations, the first channel state information includes a first path loss currently measured and the second channel state information includes a second path loss last measured.

In some implementations, the first channel state information includes a first PHR currently received and the second channel state information includes a second PHR last received.

In some implementations, the first channel state information includes a first IoT that was currently measured and the second channel state information includes a second IoT that was last measured.

S203, determining a target adjustment scene of the CQI according to the first channel state information and the second channel state information.

A difference between the first channel state information and the second channel state information is obtained. A target adjustment scenario for CQI is determined based on the difference. In this embodiment of the present application, N candidate threshold ranges may be obtained, where N is an integer greater than 2. And determining the target threshold range to which the difference value belongs from the N candidate threshold ranges. And determining a target adjustment scene of the CQI according to the target threshold range.

Taking channel state information as CQI as an example for explanation, the difference value is the difference value between the first CQI and the second CQI, and if the difference value belongs to the range between the threshold 1 and the threshold 2, the target adjustment scene is determined to be the first adjustment scene with stable channel quality. If the difference value is lower than a preset threshold 1, judging that the channel quality is rapidly reduced, wherein the target adjustment scene is a second adjustment scene with rapidly-changing channel quality; if the difference is higher than the preset threshold 2, the channel quality is judged to be fast increased, and the target adjustment scene is a second adjustment scene with fast change of the channel quality. Wherein, the value of the threshold 1 is larger than 0, the value of the threshold 2 is smaller than 0, and the threshold 1 and the threshold 2 are configurable parameters.

Optionally, when the channel state information is RSRP or SINR, the process of determining the target adjustment scenario may refer to the process of determining the target adjustment scenario for the CQI by using the above channel state information, which is not described herein.

Taking channel state information as path loss as an example for explanation, the difference value is the difference value between the first path loss and the second path loss, and if the difference value belongs to the range between the threshold 1 and the threshold 2, the target adjustment scene is determined to be the first adjustment scene with stable channel quality. If the difference value is higher than a preset threshold 1, judging that the channel quality is rapidly reduced, wherein the target adjustment scene is a second adjustment scene with rapidly-changing channel quality; if the difference is lower than the preset threshold 2, the channel quality is judged to be fast raised, and the target adjustment scene is a second adjustment scene with fast change of the channel quality.

Optionally, when the channel state information is PHR or IoT, the process of determining the target adjustment scene may refer to the process of determining the target adjustment scene for the path loss by using the channel state information, which is not described herein.

S204, the CQI is dynamically adjusted based on the target adjustment scene to acquire the target CQI.

The description of step S204 may be referred to the relevant content in the above embodiment, and will not be repeated here.

The embodiment of the application. And determining the first channel state information of the current measurement and the second channel state information of the last measurement, and determining a target adjustment scene of the CQI according to the first channel state information and the second channel state information. The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to an actual transmission state, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve the overall performance index of a system, and ensure that the initial transmission BLER reaches the requirement of the target BLER as much as possible.

Fig. 3 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 3, the method includes:

S301, receiving CQI sent by the terminal equipment.

S302, determining a target adjustment scene of CQI.

The description of step S301 to step S302 may be referred to the relevant content in the above embodiment, and will not be repeated here.

It should be noted that if the target adjustment scenario is a first adjustment scenario with stable channel quality, the first CQI is dynamically adjusted to obtain the target CQI. And if the target adjustment scene is a second adjustment scene with the rapid change of the channel quality, dynamically adjusting the second CQI to acquire the target CQI.

S303, obtaining the mapping relation between the adjustment scene and the adjustment step length.

Optionally, in the embodiment of the present application, a mapping relationship exists between the adjustment scene and the adjustment step.

In some implementations, the adjustment step corresponding to the first adjustment scene includes an up-adjustmentStep size delta _up And down-regulating step delta _down The adjusting step length corresponding to the second adjusting scene comprises an up-adjusting step length 4 delta _up And down-regulating step size 4 delta _down 。

In some implementations, the adjustment step corresponding to the first adjustment scene includes an up-adjustment step Δ _up And down-regulating step delta _down The adjustment step length corresponding to the second adjustment scene with the rapidly reduced channel quality comprises an up-adjustment step length 5 delta _up And down-regulating step size 5 delta _down The adjustment step length corresponding to the second adjustment scene with the fast rising channel quality comprises an up adjustment step length 3 delta _up And down-regulating step size 3 delta _down 。

S304, determining a target adjustment step length corresponding to the target adjustment scene according to the mapping relation.

In some implementations, taking the target scene as the first adjustment scene as an example, the target adjustment step corresponding to the target adjustment scene is the up-adjustment step delta _up And down-regulating step delta _down 。

In some implementations, if the target scene is the second adjustment scene with fast decrease in channel quality, the target adjustment step corresponding to the target adjustment scene is the up-adjustment step 5Δ _up And down-regulating step size 5 delta _down 。

In some implementations, if the target scene is the second adjustment scene with fast rising channel quality, the target adjustment step corresponding to the target adjustment scene is the up-adjustment step 3Δ _up And down-regulating step size 3 delta _down 。

It should be noted that, the target adjustment step length in the embodiment of the present application is only an exemplary value, and in other implementations, the target adjustment step length may be other values, which is not limited in this application.

S305, according to the target adjustment step length, the CQI is dynamically adjusted to obtain the target CQI.

The description of step S305 may be referred to the relevant content in the above embodiment, and will not be repeated here.

And obtaining a mapping relation between the adjustment scene and the adjustment step length, determining a target adjustment step length corresponding to the target adjustment scene according to the mapping relation, and dynamically adjusting the CQI according to the target adjustment step length to obtain the target CQI. According to the method and the device for adjusting the CQI, the adjustment step length of the CQI can be determined according to the mapping relation between the adjustment scene and the adjustment step length, the flexibility and the accuracy of dynamically adjusting the CQI are improved, the transmission quality of a channel can be quickly matched, the overall performance index of the system is improved, and the requirement that the primary transmission BLER reaches the target BLER as much as possible is ensured.

Fig. 4 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 4, the method includes:

s401, receiving CQI sent by the terminal equipment.

The description of step S401 may be referred to the relevant content in the above embodiment, and will not be repeated here.

S402, receiving feedback information of the hybrid automatic repeat request sent by the terminal equipment.

The feedback information of the hybrid automatic repeat request is also one of important factors for judging whether the current CQI matches the channel condition, and when the corrected CQI is lower than the actual channel condition, ACK is continuously fed back; when the corrected CQI is higher than the actual channel condition, the NACK will be continuously fed back. Therefore, in the embodiment of the present application, the target adjustment scenario of the CQI may be determined by mixing feedback information of the automatic retransmission request.

S403, determining a target adjustment scene of the CQI according to the feedback information.

And respectively counting the determined feedback ACK and the negative feedback NACK according to the feedback information to obtain a first quantity of ACK and a second quantity of NACK. And determining a target adjustment scene of the CQI according to the first quantity and the second quantity.

Optionally, during the counting of the first number, if the first number is greater than or equal to a preset counting threshold, the second number is reset to 0. The second number is cleared upon receipt of 1 ACK, the second number is cleared upon receipt of 2 ackstop is illustrated with the count threshold NackStop set to 1, and so on. The scene with higher BLER caused by more external field NACK can be adapted by setting NackStop. Wherein, nackStop is one parameter of external configuration.

Optionally, in the counting process of the second number, if the received feedback information is NACK, the first number is reset to 0.

Optionally, in the embodiment of the present application, M candidate number ranges are acquired, where M is an integer greater than 3. From the M candidate number ranges, a first number range to which the first number belongs and a second number range to which the second number belongs are determined. And determining a target adjustment scene of the CQI according to the first quantity range and the second quantity range. That is, if the first number is greater than or equal to a preset first number threshold, determining that the target adjustment scene is a second adjustment scene with fast rising channel quality, and determining a preset first adjustment step length, and if the first number is greater than or equal to a preset second number threshold, determining that the target adjustment scene is a second adjustment scene with fast rising channel quality, and determining a preset second adjustment step length; if the second number is larger than or equal to a preset third number threshold, judging that the target adjustment scene is a second adjustment scene with rapidly reduced channel quality, and determining a third adjustment step length; if the first number is smaller than a preset first number threshold and the second number is smaller than a preset third number threshold, determining that the target adjustment scene is a first adjustment scene with stable channel quality, and determining a fourth adjustment step size.

Wherein the first number of thresholds is less than the second number of thresholds and the first adjustment step is less than the second adjustment step.

S404, the CQI is dynamically adjusted based on the target adjustment scene to acquire the target CQI.

The description of step S404 may be referred to the relevant content in the above embodiment, and will not be repeated here.

It should be noted that, if the target adjustment scenario is the second adjustment scenario with fast rising channel quality, the first adjustment step length or the second adjustment step length is used to dynamically adjust the second CQI to obtain the target CQI. And if the target adjustment scene is a second adjustment scene with rapidly reduced channel quality, dynamically adjusting the second CQI by using a third adjustment step length so as to acquire the target CQI. And if the target adjustment scene is a first adjustment scene with stable channel quality, dynamically adjusting the first CQI by using a fourth adjustment step length to acquire the target CQI.

In this embodiment of the present application, the HARQ feedback index of the downlink PDSCH and the corresponding feedback result are shown in fig. 5, and the determined feedback ACKs and negative feedback NACKs are respectively counted according to the feedback information, so as to obtain a first number of ACKs and a second number of NACKs. According to the first quantity and the second quantity, determining a target adjustment scene of CQI, dynamically adjusting CQI based on the target adjustment scene, wherein in the counting process of NACK and ACK in the embodiment of the application, when the HARQ index is before 32, the NACK duty ratio is reduced, when the HARQ index is 15, the UE adjusts to match the actual channel condition, when the HARQ index is after 32, the ACK duty ratio is reduced, and when the HARQ index is 72, the UE adjusts to match the actual channel condition. Wherein CQI modification Flag indicates an identification of a target adjustment scene, wherein CQI modification flag=0 indicates a first adjustment scene in which channel quality is stable, CQI modification flag=1 indicates a second adjustment scene in which channel quality is rapidly reduced, and CQI modification flag=2 indicates a second adjustment scene in which channel quality is rapidly increased.

The embodiment of the application receives feedback information of the hybrid automatic repeat request sent by the terminal equipment, and determines a target adjustment scene of CQI according to the feedback information. The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to feedback information, further determine adjustment step length and adjustment object of CQI, improve flexibility and accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve overall performance index of a system, and ensure that primary transmission BLER reaches the requirement of target BLER as much as possible.

Fig. 6 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 6, the method includes:

s601, receiving CQI sent by the terminal equipment.

The description of step S601 may be referred to the relevant content in the above embodiment, and will not be repeated here.

S602, acquiring the adjustment period of CQI.

A scheduling frequency statistics period, i.e. an adjustment period of CQI, is defined. And in the adjustment period of the CQI, calculating the actual adjustment times of each connected UE and the adjustment opportunity times in the period, wherein the actual adjustment times count the times that the network equipment actually issues adjustment authorization, and the adjustment opportunity times are determined according to the frame structure.

S603, obtaining the adjustment opportunity times and the actual adjustment times in the adjustment period where the first CQI is located.

Taking Test-Driven Development (TDD) system as an example for explanation, assuming that the frame structure is DDDSUDDDSU, for downlink adjustment, the number of adjustment opportunities in every 10 slots is 8; for uplink adjustment, the number of adjustment opportunities in every 10 slots is 2. Wherein D represents a downlink pilot, U represents an uplink pilot, S represents a special subframe, and the special subframe includes three special slots, namely, a downlink pilot slot (Downlink Pilot Time Slot, dwPTS), a main guard slot (GP), and an uplink pilot slot (Uplink Pilot Time Slot, upPTS). The DwPTS in the special subframe is reserved as a downlink transmission area, the UpPTS is reserved as an uplink transmission area, the GP is a protection interval, and the lengths of the DwPTS and the UpPTS are matched.

S604, determining a target adjustment scene of CQI according to the actual adjustment times and the adjustment opportunity times.

In the embodiment of the application, the adjustment frequency is obtained according to the ratio of the actual adjustment times to the adjustment opportunity times, and the target adjustment scene is determined according to the magnitude relation between the adjustment frequency and the preset frequency threshold.

Optionally, in the embodiment of the present application, if the adjustment frequency is greater than or equal to a preset frequency threshold, it is determined that the target scene is a first adjustment scene with stable signal quality; if the adjustment frequency is smaller than the preset frequency threshold, the target scene is judged to be a second adjustment scene with the rapid change of the signal quality.

Taking a voice service of a frequency division duplex (Frequency Division Duplexing, FDD) system as an example, assume that an active period of the voice service is 20ms (including 20 adjustment opportunity times), a quiet period is 160ms, and the voice service is scheduled 1 time every 20ms in the active period, even if the voice service is calculated according to the scheduling frequency of the active period, the scheduling probability r=1/20=0.05, and if the preset frequency threshold is 10%, the target scene is a second adjustment scene with rapid change of signal quality.

S605, the CQI is dynamically adjusted based on the target adjustment scene to acquire the target CQI.

The description of step S605 may be referred to the relevant content in the above embodiment, and will not be repeated here.

According to the method and the device for adjusting the CQI, the adjustment period of the CQI is obtained, the adjustment opportunity number and the actual adjustment number in the adjustment period of the first CQI are obtained, and the target adjustment scene of the CQI is determined according to the actual adjustment number and the adjustment opportunity number. The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to adjustment frequency, further determine adjustment step length and adjustment object of CQI, improve flexibility and accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve overall performance index of a system, and ensure that primary transmission BLER reaches the requirement of target BLER as much as possible.

Fig. 7 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 7, the method includes:

s701, receiving CQI transmitted by the terminal device.

S702, determining a target adjustment scene of CQI.

The description of step S701 to step S702 may be referred to the relevant content in the above embodiment, and will not be repeated here.

S703, if the target adjustment scene is the second adjustment scene, acquiring a time difference between the historical time and the current time, wherein the historical time is the last time the target adjustment scene was determined to be the second adjustment scene.

In this embodiment of the present application, after the adjustment step of the second adjustment scene is amplified based on the adjustment step of the first adjustment scene, in order to avoid excessive adjustment of CQI correction caused by continuous correction using the amplified step, in this embodiment, a CQI correction time window, that is, a preset time threshold, is introduced, and in the same CQI correction time window, only one adjustment opportunity uses the adjustment step of the second adjustment scene, and other correction opportunities use the adjustment step of the first adjustment scene.

S704, if the time difference is smaller than the preset time threshold, the target adjustment scene is corrected to be the first adjustment scene.

In some implementations, if the time difference between the historical time and the current time is less than the preset time threshold, the target adjustment scene is corrected to be the first adjustment scene, that is, the adjustment step of the second adjustment scene is not used for performing the dynamic adjustment of the subsequent CQI, but the adjustment step of the first adjustment scene is used for performing the dynamic adjustment of the subsequent CQI.

S705, dynamically adjusting the CQI based on the target adjustment scenario to obtain the target CQI.

The description of step S705 may be referred to the relevant content in the above embodiment, and will not be repeated here.

In some implementations, in order to further improve the CQI adjustment efficiency, if the current target adjustment scenario is determined as the second adjustment scenario with fast channel quality change, after the CQI is dynamically adjusted by using the adjustment step length of the second adjustment scenario, the CQI is dynamically adjusted by using the adjustment step length of the first adjustment scenario within the preset time threshold until the adjustment step length of the first adjustment scenario reaches the preset time threshold, and then the target adjustment scenario of the CQI is redetermined.

The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to a time difference value and a preset time threshold value, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve the overall performance index of a system, and ensure that the primary transmission BLER reaches the requirement of the target BLER as much as possible.

Fig. 8 is a flowchart of a dynamic adjustment method of CQI according to an embodiment of the present disclosure. As shown in fig. 8, the method includes:

s801, a CQI transmitted by the terminal device is received.

S802, determining a target adjustment scene of CQI.

The description of step S801 to step S802 may be referred to the relevant content in the above embodiment, and will not be repeated here.

S803, the total amount of feedback information is acquired.

Whether it is uplink CQI measurement or downlink CQI measurement, the network device generally periodically obtains corresponding measurement results, and even if aperiodic measurement or reporting is used, there is still a larger or smaller time interval between the two measurement results. Alternatively, between 2 measurements, the CQI correction depends on the total amount of feedback information, i.e. the number of samples of the ACK/NACK, determining the effect of the CQI correction adjustment.

In the implementation, the number of connected UEs in the network device cell, the service characteristics of each UE, and the scheduling policy of the network device jointly determine the total amount of feedback information actually used for CQI correction.

S804, correcting the target adjustment scene according to the size relation between the total number and the preset number threshold.

In this embodiment of the present invention, in order to ensure the reliability of transmission, the target adjustment scene may be corrected according to the total amount of feedback information, that is, if the total amount is greater than the preset amount threshold, and the target adjustment scene is a second adjustment scene with rapidly reduced channel quality, and the target adjustment scene is corrected to be a first adjustment scene with stable channel quality.

S805, dynamically adjusting the CQI based on the target adjustment scene to obtain the target CQI.

The description of step S805 may be referred to the relevant content in the above embodiment, and will not be repeated here.

It should be noted that, in some implementations, in order to further improve the adjustment efficiency of the CQI, if the total amount of feedback information is greater than the preset amount threshold, that is, the sample size of the ACK/NACK is more relied on for CQI correction, at this time, the identification of the second adjustment scenario with rapidly decreasing channel quality is not started, if the channel condition of the second adjustment scenario with rapidly increasing channel quality is not satisfied, the target adjustment scenario is directly determined as the first adjustment scenario with stable channel quality,

the method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to the total quantity of feedback information, namely the sample size of ACK/NACK, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamically adjusting the CQI, can quickly match the transmission quality of a channel, improve the overall performance index of a system, and ensure that the initial transmission BLER reaches the requirement of the target BLER as much as possible.

Fig. 9 is a schematic structural diagram of a CQI dynamic adjustment apparatus according to an embodiment of the present disclosure, and as shown in fig. 9, a CQI dynamic adjustment apparatus 900 includes:

A receiving module 910, configured to receive a CQI sent by a terminal device;

a determining module 920, configured to determine a target adjustment scenario of the CQI;

an adjustment module 930, configured to dynamically adjust the CQI based on the target adjustment scenario to obtain the target CQI.

In some implementations, the CQI includes a first CQI currently received and a second CQI last received, and in the adjusting module 930, the adjusting module dynamically adjusts the CQI according to a target adjustment step to obtain a target CQI, including:

if the target adjustment scene is a first adjustment scene with stable channel quality, dynamically adjusting the first CQI to acquire the target CQI; or if the target adjustment scene is a second adjustment scene with fast change of channel quality, dynamically adjusting the second CQI to obtain the target CQI.

In some implementations, in the determining module 920, determining the target adjustment scenario for the CQI includes:

determining first channel state information of current measurement and second channel state information of last measurement;

and determining a target adjustment scene of the CQI according to the first channel state information and the second channel state information.

In some implementations, determining the target adjustment scenario for the CQI based on the first channel state information and the second channel state information in the determining module 920 includes:

Acquiring a difference value between the first channel state information and the second channel state information;

a target adjustment scenario for CQI is determined based on the difference.

In some implementations, the first channel state information includes a first CQI and the second channel state information includes a second CQI, the difference being a difference between the first CQI and the second CQI.

In some implementations, in the determining module 920, determining the target adjustment scenario for the CQI based on the difference includes:

acquiring N candidate threshold ranges, wherein N is an integer greater than 2;

determining a target threshold range to which the difference value belongs from the N candidate threshold ranges;

and determining a target adjustment scene of the CQI according to the target threshold range.

receiving feedback information of a hybrid automatic repeat request sent by terminal equipment;

and determining a target adjustment scene of the CQI according to the feedback information.

In some implementations, in the determining module 920, determining the target adjustment scenario for the CQI according to the feedback information includes:

counting the determined feedback ACK and the negative feedback NACK respectively according to the feedback information to obtain a first quantity of ACK and a second quantity of NACK;

and determining a target adjustment scene of the CQI according to the first quantity and the second quantity.

In some implementations, in the determining module 920, determining a target adjustment scenario for the CQI based on the first number and the second number includes:

obtaining M candidate number ranges, wherein M is an integer greater than 3;

determining a first number range to which the first number belongs and a second number range to which the second number belongs from M candidate number ranges;

and determining a target adjustment scene of the CQI according to the first quantity range and the second quantity range.

In some implementations, the determining module 920 is further to:

resetting the second number to 0 if the first number is greater than or equal to a preset count threshold in the counting process of the first number;

and in the counting process of the second quantity, if the received feedback information is NACK, resetting the first quantity to 0.

In some implementations, after determining the target adjustment scenario for the CQI in the determining module 920, further includes:

acquiring the total quantity of feedback information;

and correcting the target adjustment scene according to the size relation between the total number and the preset number threshold.

In some implementations, in the determining module 920, correcting the target adjustment scene according to the magnitude relation between the total number and the preset number threshold includes:

if the total number is greater than the number threshold, and the target adjustment scene is the second adjustment scene, the target adjustment scene is corrected to the first adjustment scene.

acquiring an adjustment period of CQI;

acquiring the number of adjustment opportunities and the actual number of adjustment opportunities in an adjustment period where the first CQI is located;

and determining a target adjustment scene of the CQI according to the actual adjustment times and the adjustment opportunity times.

In some implementations, determining the target adjustment scenario for the CQI according to the actual adjustment times and the adjustment opportunity times in the determining module 920 includes:

acquiring an adjustment frequency according to the ratio of the actual adjustment times to the adjustment opportunity times;

and determining a target adjustment scene according to the magnitude relation between the adjustment frequency and the preset frequency threshold.

In some implementations, in the determining module 920, determining the target adjustment scenario according to the magnitude relation between the adjustment frequency and the preset frequency threshold includes:

if the adjustment frequency is greater than or equal to the frequency threshold, determining the target scene as a first adjustment scene; or (b)

And if the adjustment frequency is smaller than the frequency threshold value, determining the target scene as a second adjustment scene.

if the target adjustment scene is the second adjustment scene, acquiring a time difference value between the historical time and the current time, wherein the historical time is the time when the target adjustment scene is determined to be the second adjustment scene last time;

And if the time difference value is smaller than the preset time threshold value, correcting the target adjustment scene into a first adjustment scene.

In some implementations, in the adjustment module 930, dynamically adjusting the CQI based on the target adjustment scenario includes:

acquiring a mapping relation between an adjustment scene and an adjustment step length;

determining a target adjustment step length corresponding to the target adjustment scene according to the mapping relation;

and dynamically adjusting the CQI according to the target adjustment step length.

The method and the device are simultaneously applicable to an uplink transmission link and a downlink transmission link, can acquire a target adjustment scene according to an actual transmission state, further determine the adjustment step length and the adjustment object of CQI, improve the flexibility and the accuracy of dynamic adjustment of CQI, can quickly match channel transmission quality, improve the overall performance index of a system, and ensure that the initial transmission BLER reaches the requirement of the target BLER as much as possible.

As shown in fig. 10, an embodiment of the present disclosure further proposes a communication device, including:

at least one processor 1010; and

a transceiver 1000, a memory 1020, communicatively coupled to the at least one processor 1010; wherein,

a transceiver 1000 for receiving and transmitting data under the control of the processor 1010;

the memory 1020 stores instructions executable by the at least one processor 1010 to enable the at least one processor 1010 to perform a dynamic adjustment method of CQI.

Wherein in fig. 10, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 1010 and various circuits of memory represented by memory 1020, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. Transceiver 1000 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium, including wireless channels, wired channels, optical cables, etc. The processor 1010 is responsible for managing the bus architecture and general processing, and the memory 1020 may store data used by the processor 1010 in performing operations.

The processor 1010 may be a Central Processing Unit (CPU), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or a complex programmable logic device (Complex Programmable Logic Device, CPLD), or it may employ a multi-core architecture.

Based on the same application concept, the embodiments of the present application also provide a processor readable storage medium storing a computer program for causing a processor to execute the dynamic adjustment method of CQI in the above embodiments.

It should be noted that, the device or apparatus provided in the embodiment of the present invention can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and specific details of the same parts and beneficial effects as those of the method embodiment in the embodiment are not described herein.

It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

It should be noted that, the above device provided in the embodiment of the present invention can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those in the method embodiment in this embodiment are omitted.

The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic storage (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical storage (e.g., CD, DVD, BD, HVD, etc.), semiconductor storage (e.g., ROM, EPROM, EEPROM, nonvolatile storage (NAND FLASH), solid State Disk (SSD)), and the like.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present disclosure without departing from the spirit or scope of the disclosure. Thus, the present disclosure is intended to include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.

Claims

1. A method for dynamically adjusting channel quality indicator CQI, comprising:

receiving CQI sent by terminal equipment;

determining a target adjustment scenario for the CQI;

And dynamically adjusting the CQI based on the target adjustment scene to acquire target CQI.

2. The method of claim 1, wherein the CQI comprises a first CQI currently received and a second CQI last received, wherein the dynamically adjusting the CQI according to the target adjustment step to obtain a target CQI comprises:

if the target adjustment scene is a first adjustment scene with stable channel quality, dynamically adjusting the first CQI to acquire the target CQI; or (b)

And if the target adjustment scene is a second adjustment scene with rapid change of channel quality, dynamically adjusting the second CQI so as to acquire the target CQI.

3. The method according to claim 1 or 2, wherein said determining a target adjustment scenario for the CQI comprises:

4. The method of claim 3, wherein the determining the target adjustment scenario for the CQI based on the first channel state information and the second channel state information comprises:

a target adjustment scenario for the CQI is determined based on the difference.

5. The method of claim 4, wherein the first channel state information comprises a first CQI and the second channel state information comprises a second CQI, and wherein the difference is a difference between the first CQI and the second CQI.

6. The method of claim 4, wherein the determining the target adjustment scenario for the CQI based on the difference comprises:

acquiring N candidate threshold ranges, wherein N is an integer greater than 2;

7. The method according to claim 1 or 2, wherein said determining a target adjustment scenario for the CQI comprises:

receiving feedback information of the hybrid automatic repeat request sent by the terminal equipment;

8. The method of claim 7, wherein the determining the target adjustment scenario for the CQI based on the feedback information comprises:

Counting the determined feedback ACK and the negative feedback NACK respectively according to the feedback information to obtain a first quantity of the ACK and a second quantity of the NACK;

9. The method of claim 8, wherein the determining the target adjustment scenario for the CQI based on the first number and the second number comprises:

obtaining M candidate number ranges, wherein M is an integer greater than 3;

determining a first number range to which the first number belongs and a second number range to which the second number belongs from the M candidate number ranges;

10. The method according to claim 8 or 9, characterized in that the method further comprises:

11. The method of claim 7, wherein after the determining the target adjustment scenario for the CQI, further comprising:

acquiring the total amount of the feedback information;

and correcting the target adjustment scene according to the size relation between the total number and a preset number threshold.

12. The method of claim 11, wherein the modifying the target adjustment scene according to the magnitude relation between the total number and a preset number threshold comprises:

and if the total number is greater than the number threshold, and the target adjustment scene is the second adjustment scene, correcting the target adjustment scene to be the first adjustment scene.

13. The method according to claim 1 or 2, wherein said determining a target adjustment scenario for the CQI comprises:

acquiring an adjustment period of the CQI;

acquiring the adjustment opportunity times and actual adjustment times in the adjustment period of the first CQI;

14. The method of claim 13, wherein the determining the target adjustment scenario for the CQI based on the actual adjustment times and the adjustment opportunity times comprises:

and determining the target adjustment scene according to the magnitude relation between the adjustment frequency and a preset frequency threshold.

15. The method of claim 14, wherein the determining the target adjustment scenario according to the magnitude relation between the adjustment frequency and a preset frequency threshold comprises:

if the adjustment frequency is greater than or equal to the frequency threshold, determining that the target scene is the first adjustment scene; or (b)

And if the adjustment frequency is smaller than the frequency threshold, determining the target scene as the second adjustment scene.

16. The method according to claim 1 or 2, wherein after the determining the target adjustment scenario of the CQI, further comprising:

if the target adjustment scene is the second adjustment scene, acquiring a time difference value between a historical time and a current time, wherein the historical time is the time of last determining that the target adjustment scene is the second adjustment scene;

and if the time difference value is smaller than the preset time threshold value, correcting the target adjustment scene into the first adjustment scene.

17. The method according to claim 1 or 2, wherein the dynamically adjusting the CQI based on the target adjustment scenario comprises:

determining the target adjustment step length corresponding to the target adjustment scene according to the mapping relation;

18. A dynamic CQI adjustment apparatus, comprising:

a receiving module, configured to receive a CQI sent by a terminal device;

and the adjustment module is used for dynamically adjusting the CQI based on the target adjustment scene so as to acquire target CQI.

19. The apparatus of claim 18, wherein the CQI comprises a first CQI currently received and a second CQI last received, wherein the means for dynamically adjusting the CQI according to the target adjustment step to obtain the target CQI comprises:

20. The apparatus according to claim 18 or 19, wherein in the determining module, the determining the target adjustment scenario of the CQI comprises:

21. The apparatus of claim 20, wherein the determining, in the determining module, the target adjustment scenario for the CQI based on the first channel state information and the second channel state information comprises:

a target adjustment scenario for the CQI is determined based on the difference.

22. The apparatus of claim 21, wherein the first channel state information comprises a first CQI and the second channel state information comprises a second CQI, and wherein the difference is a difference between the first CQI and the second CQI.

23. The apparatus of claim 21, wherein the determining, in the determining module, the target adjustment scenario for the CQI based on the difference comprises:

Acquiring N candidate threshold ranges, wherein N is an integer greater than 2;

24. The apparatus according to claim 18 or 19, wherein in the determining module, the determining the target adjustment scenario of the CQI comprises:

25. The apparatus of claim 24, wherein the means for determining, based on the feedback information, a target adjustment scenario for the CQI comprises:

26. The apparatus of claim 25, wherein the determining, in the determining module, the target adjustment scenario for the CQI based on the first number and the second number comprises:

Obtaining M candidate number ranges, wherein M is an integer greater than 3;

27. The apparatus according to claim 25 or 26, further comprising:

28. The apparatus of claim 24, wherein the means for determining, after determining the target adjustment scenario for the CQI, further comprises:

acquiring the total amount of the feedback information;

29. The method of claim 18, wherein the determining, in the determining module, the correcting the target adjustment scene according to the magnitude relation between the total number and a preset number threshold includes:

30. The apparatus according to claim 18 or 19, wherein in the determining module, the determining the target adjustment scenario of the CQI comprises:

acquiring an adjustment period of the CQI;

31. The apparatus of claim 27, wherein the determining, in the determining module, the target adjustment scenario for the CQI according to the actual adjustment times and the adjustment opportunity times comprises:

32. The method of claim 31, wherein the determining, in the determining module, the target adjustment scenario according to the magnitude relation between the adjustment frequency and a preset frequency threshold comprises:

33. The apparatus according to claim 18 or 19, wherein in the determining module, after the determining the target adjustment scenario of the CQI, further comprises:

34. The apparatus according to claim 18 or 19, wherein in the adjustment module, the dynamically adjusting the CQI based on the target adjustment scenario comprises:

35. A communication device, comprising:

at least one processor; and

a transceiver, a memory communicatively coupled to the at least one processor; wherein,

the transceiver is used for receiving and transmitting data under the control of the processor;

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 17.

36. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to perform the method of any one of claims 1 to 17.