CN115085860B

CN115085860B - CQI adjustment method, device, apparatus and storage medium

Info

Publication number: CN115085860B
Application number: CN202110277831.3A
Authority: CN
Inventors: 朱昀
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2021-03-15
Filing date: 2021-03-15
Publication date: 2024-03-01
Anticipated expiration: 2041-03-15
Also published as: CN115085860A

Abstract

The embodiment of the application provides a CQI adjustment method, device, apparatus and storage medium, which are applied to a first device, and the method comprises the following steps: acquiring an initial CQI; receiving a data block sent by a second device; determining the RawBER corresponding to the data block according to the data block; and adjusting the initial CQI according to the RawBER. The method is used for reducing the adjustment time length of the initial CQI and improving the timeliness of the initial CQI adjustment.

Description

CQI adjustment method, device, apparatus and storage medium

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a CQI adjustment method, device, apparatus, and storage medium.

Background

Currently, a terminal device sends a channel quality indicator (Channel Quality Indicator, CQI) to a network device, where the CQI indicates how good the communication channel condition between the terminal device and the network device is. After receiving the CQI, the network device searches a proper modulation mode according to the CQI, and performs downlink scheduling according to the modulation mode.

In the related art, a terminal device obtains a Signal-to-noise ratio (SNR) by channel estimation, searches an initial CQI according to the SNR, receives a plurality of data blocks transmitted by a network device during a reception period, calculates Block Error Rate (BLER) of the plurality of data blocks, and calculates a Block Error Rate (BLER) of less than 10 ^-1 And when the initial CQI is regulated through BLER, the target CQI sent to the network equipment is obtained.

In the related art described above, when the initial CQI is adjusted by the BLER, the BLER needs to be made smaller than 10 ^-1 The terminal device can thus receive a plurality of data blocks in a short reception period. In the communication system with high reliability (for example, satellite communication system, extremely reliable low-delay communication system, etc.), the BLER needs to be smaller than a small value (the value needs to be 10 ^-5 Magnitude), the terminal device is to receive multiple data blocks for a longer duration of reception. The terminal device receives a plurality of data blocks in a longer receiving time, so that the timeliness of the terminal device for adjusting the initial CQI is poor.

Disclosure of Invention

The embodiment of the application provides a CQI adjustment method, device and storage medium, which are used for reducing the adjustment time length of initial CQI and improving the timeliness of initial CQI adjustment.

In one aspect, an embodiment of the present application provides a method for adjusting a channel quality indicator CQI, which is applied to a first device, and the method includes:

acquiring an initial CQI;

receiving a data block sent by a second device;

determining the RawBER corresponding to the data block according to the data block;

and adjusting the initial CQI according to the RawBER.

In the scheme, the first equipment adjusts the initial CQI according to the RawBER, so that in a communication mode with extremely severe requirements on reliable transmission of data, the terminal equipment can also receive the data block in a shorter time period, and adjust the initial CQI according to the RawBER corresponding to the data block, thereby improving the timeliness of adjusting the initial CQI.

In one possible implementation, determining, according to the data block, a RawBER corresponding to the data block includes:

determining a decoding result corresponding to the data block;

and determining the RawBER corresponding to the data block according to the decoding result.

In one possible implementation manner, determining the RawBER corresponding to the data block according to the decoding result includes:

if the decoding result is correct, reconstructing effective data information corresponding to the data block according to the decoding result, and comparing the effective data information with a soft bit hard judgment result corresponding to the data block to obtain RawBER corresponding to the data block;

if the decoding result is wrong, the RawBER corresponding to the data block is set to be a preset value.

In one possible implementation, the method further includes:

acquiring a historical RawBER corresponding to the historical data block;

weighting the historical RawBER and the RawBER corresponding to the data block to obtain weighted RawBER;

And updating the RawBER corresponding to the data block into the weighted RawBER.

In the scheme, the first equipment refers to the historical RawBER which can reflect the quality of the communication channel, determines the RawBER corresponding to the data block, and improves the accuracy of the determined RawBER corresponding to the data block.

In one possible implementation, the adjusting the initial CQI according to the RawBER includes:

determining BLER corresponding to the RawBER according to a pre-stored corresponding relation between the RawBER and the BLER;

the initial CQI is adjusted according to the BLER.

In one possible implementation, the adjusting the initial CQI according to the BLER includes:

acquiring Reference Signal Received Power (RSRP) and/or demodulation signal-to-noise ratio (SNR) in a channel;

the initial CQI is adjusted according to RSRP and/or demodulation signal-to-noise ratio SNR, and BLER.

In the scheme, the initial CQI is adjusted according to the RSRP and/or the demodulation signal-to-noise ratio SNR and the BLER, so that the accuracy of the initial CQI adjustment can be improved, and the accuracy of the obtained target CQI is further improved.

In one possible implementation, the first device is a terminal device;

acquiring an initial CQI, comprising:

determining a demodulation signal-to-noise ratio (SNR) of the channel through channel estimation;

According to the correspondence between the respective corresponding BLER and SNR of the pre-stored plurality of CQI, for each CQI, the BLER corresponding to the demodulation signal-to-noise ratio SNR is determined, and the CQI corresponding to the BLER with the smallest difference between the target BLER is determined as the initial CQI.

In the scheme, the first device determines the CQI corresponding to the BLER with the smallest difference between the target BLER as the initial CQI, so that the accuracy of the determined initial CQI can be improved.

In one possible implementation, the first device is a network device, and the second device is a terminal device;

acquiring an initial CQI, comprising:

and receiving the initial CQI sent by the terminal equipment.

In the scheme, the terminal equipment sends the initial CQI to the network equipment, so that the network equipment adjusts the initial CQI according to the RawBER, the network equipment can timely receive the initial CQI, the initial CQI is quickly adjusted according to the RawBER to obtain the target CQI, and the business process of downlink scheduling is improved.

In another aspect, an embodiment of the present application provides a communication device, including: a memory, transceiver, processor;

a memory for storing a computer program; a transceiver for transceiving data under the control of the processor; a processor for reading the computer program in the memory and performing the following operations:

Acquiring an initial CQI;

receiving a data block sent by a second device;

and adjusting the initial CQI according to the RawBER.

In one possible implementation, the processor is specifically configured to:

determining a decoding result corresponding to the data block;

In one possible implementation, the processor is specifically configured to:

In one possible implementation, the processor is further configured to:

acquiring a historical RawBER corresponding to the historical data block;

In one possible implementation, the processor is specifically configured to:

The initial CQI is adjusted according to the BLER.

In one possible implementation, the processor is specifically configured to:

In one possible implementation, the communication device is a first device, and the first device is a terminal device; the processor is specifically configured to:

In one possible implementation, the communication device is a first device, the first device is a network device, and the second device is a terminal device;

the processor is specifically configured to:

and receiving the initial CQI sent by the terminal equipment.

In still another aspect, an embodiment of the present application provides a channel quality indicator CQI adjustment apparatus, applied to a first device, where the apparatus includes:

an acquisition unit configured to acquire an initial CQI;

a receiving unit, configured to receive a data block sent by the second device;

The determining unit is used for determining the RawBER corresponding to the data block according to the data block;

and the adjusting unit is used for adjusting the initial CQI according to the RawBER.

In a possible implementation, the determining unit is specifically configured to:

determining a decoding result corresponding to the data block;

In a possible implementation, the determining unit is further configured to:

acquiring a historical RawBER corresponding to the historical data block;

In a possible implementation, the adjusting unit is further configured to:

The initial CQI is adjusted according to the BLER.

In a possible implementation, the adjusting unit is further configured to:

In one possible implementation, the first device is a terminal device; the acquisition unit is specifically configured to:

In one possible implementation, the first device is a network device, and the second device is a terminal device; the acquisition unit is specifically configured to:

and receiving the initial CQI sent by the terminal equipment.

In yet another aspect, embodiments of the present application provide a processor-readable storage medium storing a computer program for causing a processor to perform the CQI adjustment method in any of the above aspects.

According to the CQI adjustment method, device and storage medium, the RawBER corresponding to the data block is determined according to the data block, the initial CQI is adjusted according to the RawBER, a few data blocks can be received within a short time period, the corresponding RawBER when the BLER is smaller than or equal to the second threshold value is obtained, the adjustment time period of the initial CQI is reduced, the timeliness of the initial CQI adjustment is improved, and the time consumption of obtaining the target CQI is reduced. In the method, the time consumption of the target CQI is reduced, so that the obtained target CQI can reflect the time variability of a communication channel, and the accuracy of the obtained target CQI is improved. In the method, the time consumption of the target CQI is reduced, so that timeliness of feeding the target CQI back to the network equipment can be improved, and the business process of downlink scheduling is improved.

It should be understood that the description of the invention above is not intended to limit key or critical features of embodiments of the invention, nor to limit the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

For a clearer description of the technical solutions of the present application or of the prior art, the drawings that are used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are some embodiments of the invention, and that other drawings can be obtained from them without inventive effort for a person skilled in the art.

Fig. 1 is a schematic view of a communication system according to an embodiment of the present application;

fig. 2 is a flowchart of a CQI adjustment method according to an embodiment of the present application;

FIG. 3 is a corresponding relationship provided in an embodiment of the present application;

fig. 4 is a flowchart of a CQI adjustment method according to another embodiment of the present application;

fig. 5 is a schematic diagram of a communication device according to an embodiment of the present application;

fig. 6 is a schematic diagram of a CQ1 adjusting apparatus according to an embodiment of the present application.

Detailed Description

The term "and/or" in this application describes an association relationship of an association object, which means that three relationships may exist, for example, a and/or B may mean: 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.

The embodiment of the application provides a channel quality indication (Channel Quality Indication, CQI) adjusting method and device for extremely severely requiring reliable transmission of data (Block Error Rate (BLER) reaches 10 ^-5 Magnitude), for example, an Ultra-reliable low-latency communication (URLLC) system, an internet of vehicles communication system, a factory automation communication system, a satellite communication system, and the like in a 5G New Radio (NR) communication system. In the CQI adjustment method provided in the embodiment of the present application, the first device determines the original bit error rate (Raw bit error rate, rawBER) corresponding to the data block, and adjusts the initial CQI according to the RawBER, so that the first device can receive the data block in a shorter receiving period, and adjust the initial CQI according to the RawBER corresponding to the data block, even in a situation where the reliability transmission of the data is extremely demanding In the signaling mode, the first device can also quickly adjust the initial CQI, so as to improve the timeliness of adjusting the initial CQI.

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 CQI adjustment method provided in the embodiment of the present application may be applied to the communication system shown in fig. 1. For example, the communication system may be a 5G NR communication system, and may also be a global system for mobile communications (global system of mobile communication, GSM) system, a code division multiple access (code division multiple access, CDMA) system, a wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) general packet radio service (general packet radio service, GPRS) system, a long term evolution (long term evolution, LTE) system, an LTE frequency division duplex (frequency division duplex, FDD) system, an LTE time division duplex (time division duplex, TDD) system, a long term evolution-advanced (long term evolution advanced, LTE-a) system, a universal mobile system (universal mobile telecommunication system, UMTS), a worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX) system, or 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.

Fig. 1 is a schematic view of a communication system according to an embodiment of the present application. As shown in fig. 1, includes: terminal equipment and network equipment.

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) transmission may be performed between the network device and the terminal device by using one or more antennas, and the MIMO transmission 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.

There is a communication channel between the terminal device and the network device shown in fig. 1, which typically has a time-varying nature, the quality of which affects the quality of the communication channel. The CQI is used to indicate the quality of the communication channel, so in practical applications, in order to make the CQI match with the time-varying nature of the communication channel (i.e., the CQI may be based on the time-varying nature of the communication channel), the terminal device generally obtains the CQI in a shorter time and sends the CQI to the network device.

In the prior art, a terminal device obtains a demodulation SNR through channel estimation, searches an initial CQI according to the demodulation SNR, receives a plurality of data blocks transmitted by a network device in a receiving period, calculates a Block Error Rate (BLER) of the plurality of data blocks, and determines that the BLER is less than 10 ^-1 And when the first threshold value is reached, the initial CQI is regulated through BLER, the target CQI sent to the network equipment is obtained, the target CQI is sent to the network equipment, and the network equipment performs downlink scheduling according to the target CQI. In the prior art, since the first threshold is larger, multiple data blocks sent by the network device can be received in a shorter receiving duration, so as to obtain a BLER smaller than the first threshold, and then the initial CQI can be adjusted quickly by the BLERAnd obtaining the target CQI, so that the target CQI can reflect the time variability of the communication channel, and the service process of downlink scheduling is ensured to be faster.

In the communication system requiring extremely severe data transmission, however, a second threshold value (10 ^-5 Magnitude) is smaller, if the initial CQI is still adjusted by the BLER, multiple data blocks sent by the network device need to be received in a longer receiving period, so as to obtain a BLER smaller than the second threshold, and further obtain the target CQI by adjusting the initial CQI by the BLER. If multiple data blocks sent by the network device are received in a longer receiving duration, the initial CQI adjustment duration is longer, resulting in poor timeliness of initial CQI adjustment, and thus longer time consumption for obtaining the target CQI. Moreover, because the time for obtaining the target CQI is long, the obtained target CQI cannot reflect the time-varying property of the communication channel, and the accuracy of the obtained target CQI is reduced. In addition, the time consumption of the target CQI is long, so that the timeliness of feeding back the target CQI to the network equipment is poor, and the business process of downlink scheduling is further slowed down.

In consideration of the above problems, in the embodiments of the present application, a CQI adjustment method is provided, in which a first device determines a RawBER corresponding to a data block, and adjusts an initial CQI according to the RawBER to obtain a target CQI. In the application, because the RawBER is obtained through soft bits (softbits), a few data blocks can be received in a short time, the adjustment time length of the initial CQI is reduced, the timeliness of adjusting the initial CQI is improved, and the time consumption for obtaining the target CQI is reduced. And the time consumption of the target CQI is reduced, so that the obtained target CQI can reflect the time variability of a communication channel, and the accuracy of the obtained target CQI is improved. In addition, the time consumption of the target CQI is reduced, so that the timeliness of feeding back the target CQI to the network equipment can be improved, and the business process of downlink scheduling is improved.

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

step 201, acquiring an initial CQI.

In the present application, the main body of execution of the CQI adjustment method may be the first device, or may be a CQI adjustment apparatus provided in the first device, and the CQI adjustment apparatus may be implemented by a combination of software and/or hardware.

The first device is a communication device, for example, the first device (or communication device) may be a terminal device or a network device.

In this step, for example, when the first device is a terminal device, the initial CQI may be acquired by the following method:

determining a demodulation SNR of the channel by channel estimation;

according to the correspondence between the respective pre-stored BLER and SNR for the plurality of CQI, for each CQI, a BLER corresponding to the demodulation SNR is determined, and a CQI corresponding to the BLER with the smallest difference between target BLER is determined as an initial CQI.

Alternatively, the demodulation SNR of the channel may be determined by channel estimation in two possible ways.

Mode 1, a minimum mean square error (Minimum Mean Square Error, MMSE) algorithm model is adopted to realize channel estimation, and a demodulation SNR is obtained.

And 2, realizing channel estimation by adopting a Zero Forcing (ZF) algorithm model, and obtaining demodulation SNR.

The power of the pilot signal and the noise power are obtained by channel estimation, and the demodulation SNR is obtained by dividing the power of the pilot signal by the noise power. Here, the resulting demodulation SNR is considered to be approximately equal to the demodulation SNR under the additive white gaussian noise (Additive White Gaussian Noise, AWGN) channel condition.

For a description of the correspondence between the respective BLERs and SNRs associated with the respective CQIs stored in advance, refer to the embodiment of fig. 3. Fig. 3 is a corresponding relationship provided in an embodiment of the present application. Illustratively, as shown in FIG. 3, in a two-dimensional coordinate system (X-axis-Y-axis), for example, the X-axis indicates SNR, the Y-axis indicates BLER, and for example, CQI-1, CQI-2, and CQI-3 are included in the plurality of CQIs. For CQI-1, the BLER corresponding to the demodulation SNR is BLER-1. For CQI-2, the BLER corresponding to the demodulation SNR is BLER-2. For CQI-3, the BLER corresponding to the demodulation SNR is divided into BLER-3. Further, CQI corresponding to BLER having the smallest difference between BLER-1, BLER-2, and BLER-3 and the target BLER is determined as the initial CQI. For example, when the BLER with the smallest difference between target BLER is BLER-2, CQI-2 corresponding to BLER-2 is determined as the initial CQI.

Specifically, the correspondence between the BLER and the SNR corresponding to each of the plurality of CQIs is established by performing a simulation experiment under the AWGN channel condition.

In this step, when the first device is a network device, the initial CQI may be obtained by:

the initial CQI transmitted by the terminal device is received.

Specifically, the method for determining the initial CQI by the terminal device is similar to the method for acquiring the initial CQI by the first device when the first device is the terminal device, which is not described herein.

Step 202, receiving a data block sent by the second device.

For example, when the first device is a terminal device, the second device may be a network device; when the first device is a network device, the second device may be a terminal device.

In this step, the data block sent by the second device may be received during the receiving period. Alternatively, the reception duration may be one time slot, or may be a plurality of consecutive time slots, or the like. It should be noted that the second device typically transmits 1/2 data blocks in one slot.

Step 203, determining the RawBER corresponding to the data block according to the data block.

In this step, the RawBER corresponding to the data block may be determined according to the data block by:

determining a decoding result corresponding to the data block;

Wherein the data block carries the original data and a (Cyclic Redundancy Check, CRC) check code; determining a decoding result corresponding to the data block includes:

dividing the original data and the CRC code by a polynomial G (x) to obtain a decoding result (i.e. remainder); the polynomial G (x) is a polynomial agreed between the first device and the second device.

Determining the RawBER corresponding to the data block according to the decoding result, wherein the method comprises the following steps:

If the decoding result is correct, reconstructing effective data information (namely original data) corresponding to the data block according to the decoding result, and comparing the effective data information with a soft bit hard judgment result corresponding to the data block to obtain RawBER corresponding to the data block;

In this step, the decoding result being 0 indicates that the decoding result is correct; a decoding result other than 0 indicates a decoding result error.

In this step, the effective data information and the soft bit hard judgment result are compared, and the ratio of the number of error bits to the total number of bits in the effective data information (equal to the total number of bits in the soft bit hard judgment result) is determined as RawBER.

For example, when the valid data information is 1011010111 and the soft bit hard decision result 1011010101 corresponding to the data block is 1, the number of error bits (i.e. the 9 th bit error) is 1, and the total number of bits in the valid data information is 10, so the rawber=1/10=0.1 corresponding to the data block.

And 204, adjusting the initial CQI according to the RawBER.

In this step, the initial CQI may be adjusted according to the RawBER by:

The initial CQI is adjusted according to the BLER.

Wherein the initial CQI adjustment according to the BLER includes: judging whether BLER is larger than or equal to a preset BLER (namely a second threshold value), if so, reducing the initial CQI by a first preset number of grades; if not, the initial CQI is increased by a second preset number of grades.

Alternatively, the first preset number may be 1 or 2, and the second preset number may be 1 or 2. The first preset number may be the same as the second preset number or may be different from the second preset number. For example, when the first preset number is the same as the second preset number, both the first preset number and the second preset number may be 1.

When the BLER is greater than or equal to the preset BLER, the determined BLER corresponding to the RawBER is indicated to be greater, the quality of the indication channel is poor, and the initial CQI is reduced at this time, so that the network device performs downlink scheduling by adopting a modulation mode with a smaller modulation order; when the BLER is smaller than the preset BLER, the BLER corresponding to the determined RawBER is indicated to be too small, the quality of the indication channel is good, and the initial CQI is regulated up at the moment, so that the network equipment adopts a modulation mode with a larger modulation order to perform downlink scheduling, the service process of the downlink scheduling is improved, and the reliable transmission of data is ensured.

In the CQI adjustment method provided in the embodiment of the present application, the RawBER corresponding to the data block is determined according to the data block, and the initial CQI is adjusted according to the RawBER, so that a few data blocks can be received in a shorter time period, and the RawBER corresponding to the case that the BLER is smaller than or equal to the second threshold value is obtained, thereby reducing the adjustment time period for the initial CQI, improving the timeliness for adjusting the initial CQI, and reducing the time consumption for obtaining the target CQI. In the method, the time consumption of the target CQI is reduced, so that the obtained target CQI can reflect the time variability of a communication channel, and the accuracy of the obtained target CQI is improved. In the method, the time consumption of the target CQI is reduced, so that timeliness of feeding the target CQI back to the network equipment can be improved, and the business process of downlink scheduling is improved.

On the basis of the foregoing embodiments, the CQI adjustment method provided in the embodiments of the present application is described in further detail below with reference to fig. 4, and in particular, please refer to fig. 4.

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

step 401, acquiring an initial CQI.

Step 402, receiving a data block sent by the second device.

Step 403, determining a decoding result corresponding to the data block.

Step 404, determining whether the decoding result is correct.

If yes, go to step 405, otherwise, go to step 406.

In the step, when the decoding result is 0, determining that the decoding result is correct; when the decoding result is not 0, determining that the decoding result is wrong.

And 405, reconstructing effective data information corresponding to the data block according to the decoding result, and comparing the effective data information with a soft bit hard judgment result corresponding to the data block to obtain a RawBER corresponding to the data block.

Step 406, setting the RawBER corresponding to the data block as a preset value.

Illustratively, the preset value may be 0.4, 0.5, 0.6, etc.

Step 407, obtaining a historical RawBER corresponding to the historical data block.

In this step, the execution process of the historical RawBER corresponding to the obtained historical data block is similar to the execution process of the RawBER corresponding to the obtained data block, and will not be described here again.

And step 408, weighting the historical RawBER and the RawBER corresponding to the data block to obtain the weighted RawBER.

In this step, the weighted RawBER can be obtained by the following possible equation 1:

R＝α*R ₀ +β*R ₁ equation 1;

wherein R is weighted RawBER, R ₀ For historical RawBER, R ₁ And for RawBER corresponding to the data block, alpha is a first weight, and beta is a second weight. The first weight and the second weight are preset weights.

And 409, updating the RawBER corresponding to the data block into the weighted RawBER.

Step 410, determining the BLER corresponding to the RawBER according to the pre-stored correspondence between the RawBER and the block error rate BLER.

Step 411, obtaining reference signal received power (Reference Signal Receiving Power, RSRP) and/or demodulation SNR in the channel.

In this step, the received power of the reference signal in the channel is measured to obtain RSRP.

In this step, channel estimation is performed on the channel to obtain a demodulation SNR. The algorithm model used in channel estimation may be the MMSE algorithm model or the ZF algorithm model in step 201

Step 412, the initial CQI is adjusted according to RSRP and/or demodulation SNR, and BLER corresponding to RawBER.

In this step, the initial CQI may be adjusted in the following 5 ways.

Mode 1, initial CQI is adjusted according to RSRP.

In the method, according to the corresponding relation between a plurality of RSRPs and BLER corresponding to each RSRP, the BLER corresponding to the RSRP in the channel is determined;

judging whether the BLER corresponding to the RSRP is larger than or equal to a preset BLER or not;

if yes, the initial CQI is regulated down by a first preset number of grades;

If not, the initial CQI is increased by a second preset number of grades.

Mode 2, the initial CQI is adjusted according to the BLER corresponding to RSRP and RawBER.

In the method, according to the corresponding relation between a plurality of RSRPs and BLER corresponding to each RSRP, the BLER corresponding to the RSRP in a channel is determined;

carrying out weighted summation on BLER corresponding to RSRP and BLER corresponding to RawBER in a channel to obtain a first BLER;

judging whether the first BLER is larger than or equal to a preset BLER;

if yes, the initial CQI is regulated down by a first preset number of grades;

if not, the initial CQI is increased by a second preset number of grades.

Mode 3, the initial CQI is adjusted according to the demodulation SNR.

In the method, according to the corresponding relation between a plurality of SNRs and BLER corresponding to each SNR, BLER corresponding to demodulation SNR is determined;

judging whether the BLER corresponding to the demodulation SNR is larger than or equal to a preset BLER or not;

if yes, the initial CQI is regulated down by a first preset number of grades;

if not, the initial CQI is increased by a second preset number of grades.

Mode 4, the initial CQI is adjusted according to the BLER corresponding to the demodulation SNR and the RawBER.

Carrying out weighted summation on BLER corresponding to demodulation SNR and BLER corresponding to RawBER to obtain a first BLER;

judging whether the first BLER is larger than or equal to a preset BLER;

if yes, the initial CQI is regulated down by a first preset number of grades;

if not, the initial CQI is increased by a second preset number of grades.

Mode 5, the initial CQI is adjusted according to RSRP, demodulation SNR, and BLER corresponding to RawBER.

determining BLER corresponding to demodulation SNR according to the corresponding relation between a plurality of SNRs and BLER corresponding to each SNR stored in advance;

judging whether the first BLER is larger than or equal to a preset BLER;

if yes, the initial CQI is regulated down by a first preset number of grades;

if not, the initial CQI is increased by a second preset number of grades.

In the above modes 2, 4, and 5, weights corresponding to the BLER corresponding to the SNR, the BLER corresponding to the RawBER, and the BLER corresponding to the RSRP in the weighted summation are obtained from actual experiments.

In the CQI adjustment method provided in this embodiment, the historical RawBER and the RawBER corresponding to the data block are weighted to obtain a weighted RawBER, and the RawBER corresponding to the data block is updated to the weighted RawBER, so that the reference of the historical RawBER capable of reflecting the quality of the communication channel is realized, the RawBER corresponding to the data block is determined, and the accuracy of the RawBER corresponding to the data block can be improved.

Further, according to the pre-stored correspondence between the RawBER and the block error rate BLER, the BLER corresponding to the RawBER is determined, and then the initial CQI is adjusted according to the RSRP and/or demodulation SNR in the acquired channel and the BLER, so that the accuracy of adjusting the initial CQI can be improved, the adjustment time of the initial CQI is shortened, the timeliness of adjusting the initial CQI is improved, the time consumption for obtaining the target CQI is reduced, the obtained target CQI can reflect the time variability of the communication channel, the accuracy of the obtained target CQI is improved, the timeliness of feeding the target CQI back to the network equipment is further improved, and the business process of downlink scheduling is improved.

Fig. 5 is a schematic diagram of a communication device according to an embodiment of the present application. As shown in fig. 5, the communication device includes: memory 520, transceiver 500, and processor 510.

Memory 520 for storing a computer program.

A transceiver 500 for receiving and transmitting data under the control of a processor 510.

In fig. 5, a bus architecture may comprise any number of interconnecting buses and bridges, with various circuits of one or more processors, represented in particular by processor 510, and memory, represented in memory 520. 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 500 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 510 is responsible for managing the bus architecture and general processing, and the memory 520 may store data used by the processor 510 in performing operations.

The processor 510 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.

The processor 510 is operable to perform any of the methods provided by the embodiments of the present application in accordance with the obtained executable instructions by invoking a computer program stored in a memory. The processor and the memory may also be physically separate.

The processor 510 is configured to read a computer program in the memory and perform the following operations:

acquiring an initial CQI;

receiving a data block sent by a second device;

and adjusting the initial CQI according to the RawBER.

In one possible implementation, the processor 510 is specifically configured to:

determining a decoding result corresponding to the data block;

In one possible implementation, the processor 510 is further configured to:

acquiring a historical RawBER corresponding to the historical data block;

the initial CQI is adjusted according to the BLER.

In one possible implementation, the communication device is a terminal device; the processor 510 is specifically configured to:

In one possible implementation, the communication device is a network device, and the second device is a terminal device;

the processor 510 is specifically configured to:

and receiving the initial CQI sent by the terminal equipment.

It should be noted that, the above device provided in this embodiment of the present application 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 of the method embodiment in this embodiment are omitted.

Fig. 6 is a schematic diagram of a CQ1 adjusting apparatus according to an embodiment of the present application. For example, referring to FIG. 6, the CQ1 adjustment device 60 may include:

an acquisition unit 610, configured to acquire an initial CQI;

a receiving unit 620, configured to receive a data block sent by the second device;

a determining unit 630, configured to determine, according to the data block, a RawBER corresponding to the data block;

an adjusting unit 640, configured to adjust the initial CQI according to the RawBER.

In one possible implementation, the determining unit 630 is specifically configured to:

determining a decoding result corresponding to the data block;

In one possible implementation, the determining unit 630 is further configured to:

acquiring a historical RawBER corresponding to the historical data block;

In one possible implementation, the adjusting unit 640 is further configured to:

the initial CQI is adjusted according to the BLER.

In one possible implementation, the first device is a terminal device; the obtaining unit 610 specifically is configured to:

In one possible implementation, the first device is a network device, and the second device is a terminal device; the obtaining unit 610 specifically is configured to:

and receiving the initial CQI sent by the terminal equipment.

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 essentially or in part or all or part of the technical solution contributing to the prior art or 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 of 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.

The embodiments of the present application also provide a processor-readable storage medium storing a computer program for causing a processor to execute the CQI adjustment method in any of the above aspects.

Embodiments of the present application also provide a computer program product comprising a computer program which, when executed by a processor, implements the CQI adjustment method in any of the above aspects.

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 memory (e.g., floppy disk, hard disk, tape, magneto-optical disk (MO), etc.), optical memory (e.g., CD, DVD, BD, HVD, etc.), and semiconductor memory (e.g., ROM, EPROM, EEPROM, nonvolatile memory (NAND FLASH), solid State Disk (SSD)), etc.

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 general purpose computer, special purpose 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 in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims

1. A channel quality indication, CQI, adjustment method, applied to a first device, the method comprising:

acquiring an initial CQI;

receiving a data block sent by a second device;

according to the RawBER, the initial CQI is adjusted;

the determining the RawBER corresponding to the data block according to the data block comprises the following steps:

determining a decoding result corresponding to the data block;

determining the RawBER corresponding to the data block according to the decoding result;

acquiring a historical RawBER corresponding to the historical data block;

weighting the historical RawBER and the RawBER corresponding to the data block to obtain weighted RawBER; and updating the RawBER corresponding to the data block into the weighted RawBER.

2. The method of claim 1, wherein determining the RawBER corresponding to the data block according to the decoding result comprises:

if the decoding result is correct, reconstructing effective data information corresponding to the data block according to the decoding result, and comparing the effective data information with a soft bit hard judgment result corresponding to the data block to obtain a RawBER corresponding to the data block;

And if the decoding result is wrong, setting the RawBER corresponding to the data block as a preset value.

3. The method according to claim 1 or 2, wherein said adjusting the initial CQI according to the RawBER comprises:

and adjusting the initial CQI according to the BLER.

4. A method according to claim 3, wherein said adjusting said initial CQI according to said BLER comprises:

the initial CQI is adjusted according to the RSRP and/or the demodulation signal-to-noise ratio SNR, and the BLER.

5. The method according to claim 1 or 2, wherein the first device is a terminal device;

the acquiring the initial CQI includes:

and determining BLER corresponding to the demodulation signal-to-noise ratio SNR for each CQI according to the corresponding relation between BLER and SNR corresponding to each of the pre-stored multiple CQI, and determining CQI corresponding to BLER with the smallest difference value between target BLER as the initial CQI.

6. The method according to claim 1 or 2, wherein the first device is a network device and the second device is a terminal device;

the acquiring the initial CQI includes:

and receiving the initial CQI sent by the terminal equipment.

7. A communication device, comprising: a memory, transceiver, processor;

acquiring an initial CQI;

receiving a data block sent by a second device;

according to the RawBER, the initial CQI is adjusted;

the processor is specifically configured to:

determining a decoding result corresponding to the data block;

the processor is further configured to:

acquiring a historical RawBER corresponding to the historical data block;

8. The communication device of claim 7, wherein the processor is configured to:

9. The communication device according to claim 7 or 8, wherein the processor is specifically configured to:

and adjusting the initial CQI according to the BLER.

10. The communication device of claim 9, wherein the processor is configured to:

11. The communication device according to claim 7 or 8, characterized in that the communication device is a terminal device; the processor is specifically configured to:

12. The communication device according to claim 7 or 8, wherein the communication device is a network device and the second device is a terminal device;

the processor is specifically configured to:

and receiving the initial CQI sent by the terminal equipment.

13. A channel quality indication, CQI, adjustment apparatus, for use with a first device, the apparatus comprising:

an acquisition unit configured to acquire an initial CQI;

a receiving unit, configured to receive a data block sent by the second device;

an adjusting unit, configured to adjust the initial CQI according to the RawBER;

the determining unit is specifically configured to:

determining a decoding result corresponding to the data block;

the determining unit is further configured to:

acquiring a historical RawBER corresponding to the historical data block;

14. 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 6.