CN114124294A - Adaptive modulation coding method, base station and storage medium - Google Patents

Adaptive modulation coding method, base station and storage medium Download PDF

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Publication number
CN114124294A
CN114124294A CN202110394045.1A CN202110394045A CN114124294A CN 114124294 A CN114124294 A CN 114124294A CN 202110394045 A CN202110394045 A CN 202110394045A CN 114124294 A CN114124294 A CN 114124294A
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symbols
signal
noise ratio
pilot
adaptive modulation
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Chinese (zh)
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吴昊
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ZTE Corp
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ZTE Corp
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Priority to CN202110394045.1A priority Critical patent/CN114124294A/en
Publication of CN114124294A publication Critical patent/CN114124294A/en
Priority to PCT/CN2022/081334 priority patent/WO2022218090A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H04L1/0003Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate by switching between different modulation schemes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0009Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the channel coding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048Allocation of pilot signals, i.e. of signals known to the receiver

Abstract

The application discloses a self-adaptive modulation coding method, a base station and a storage medium, wherein the method comprises the following steps: determining a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe; and performing adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio. The technical scheme of the application can improve the accuracy of signal-to-noise ratio estimation and improve the performance of adaptive modulation and coding.

Description

Adaptive modulation coding method, base station and storage medium
Technical Field
The present invention relates to communication technologies, and in particular, to an adaptive modulation and coding method, a base station, and a storage medium.
Background
Adaptive Modulation and Coding (AMC) is an adaptive code modulation technique used on wireless channels. The AMC adapts the transmission quality of the radio link by changing the modulation scheme and coding rate of the scheduled data transmission. When the channel quality is bad, selecting a lower modulation mode and a lower coding rate; when the channel quality is good, a higher modulation mode and a higher coding rate are selected. The signal-to-noise ratio estimation accuracy in the prior art is low. When the accuracy of the snr estimation is low, the performance of the adaptive modulation and coding deteriorates.
Disclosure of Invention
The application provides an adaptive modulation and coding method, a base station and a storage medium, aiming at improving the performance of adaptive modulation and coding.
The embodiment of the invention provides an adaptive modulation and coding method, which comprises the following steps:
determining a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe;
and performing adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio.
The embodiment of the invention provides an adaptive modulation and coding device, which comprises:
the signal-to-noise ratio determining module is used for determining the signal-to-noise ratio according to at least two pilot symbols configured in the received subframe;
and the adaptive modulation and coding module is used for performing adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio.
The embodiment of the present invention further provides a base station, where the base station includes a memory, a processor, a program stored in the memory and executable on the processor, and a data bus for implementing connection communication between the processor and the memory, and when the program is executed by the processor, the adaptive modulation and coding method provided in any embodiment of the present invention is implemented.
Embodiments of the present invention also provide a storage medium for a computer-readable storage, where the storage medium stores one or more programs, and the one or more programs are executable by one or more processors to implement an adaptive modulation and coding method provided in any embodiment of the present invention.
According to the adaptive modulation and coding method, the base station and the storage medium provided by the embodiment of the invention, the signal-to-noise ratio is determined through the at least two configured pilot symbols, and then adaptive modulation and coding are carried out according to the signal-to-noise ratio, so that the estimation accuracy of the signal-to-noise ratio is improved, and the performance of the adaptive modulation and coding is improved.
Drawings
FIG. 1 is a flow chart of an adaptive modulation and coding method;
fig. 2 is a schematic diagram of an adaptive modulation and coding apparatus;
fig. 3 is a schematic structural diagram of a base station.
Detailed Description
To make the objects, technical solutions and advantages of the present application more apparent, embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "part", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no peculiar meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The present embodiment provides an adaptive modulation and coding method, as shown in fig. 1, the adaptive modulation and coding method includes:
s110, determining a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe;
and S120, performing adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio.
The technical solution of the present embodiment can be applied to 4G and 5G communication networks. One subframe may be divided into two slots, and each slot may include 7 symbols. And the channel transmission data may apply Orthogonal Frequency Division Multiplexing (OFDM). And acquiring at least two configured pilot symbols in a subframe receiving data, and estimating the signal-to-noise ratio by using the at least two pilot symbols. The snr can be estimated from neighboring pilot symbols, which can enable a higher accuracy of snr estimation when the number of pilot symbols is large. The symbols in a subframe may be numbered from 0, and the 14 symbols may be numbered from 0 to 13. For example, symbol 2 and symbol 11 are configured as pilot symbols, or symbol 2, symbol 7 and symbol 11 are configured as pilot symbols, or symbol 2, symbol 4, symbol 9 and symbol 11 are configured as pilot symbols. After the signal-to-noise ratio is obtained by using the adjacent pilot frequency estimation, the data of the corresponding channel can be subjected to adaptive modulation and coding according to the signal-to-noise ratio. When the channel quality is worse, selecting a lower modulation scheme and coding rate, for example, using 1/3 coding scheme with higher redundancy, and using QPSK (Quadrature Phase Shift Keying) as the lower-order modulation scheme, which corresponds to a lower data rate; when the channel quality is better, a higher Modulation scheme and coding rate are selected, for example, 3/4 coding schemes with less redundancy and a higher order Modulation scheme Quadrature Amplitude Modulation (16 QAM) can be adopted, and a relatively higher data rate corresponds to the higher Modulation scheme and coding rate. The quality of the channel can be measured by the signal-to-noise ratio, so after the signal-to-noise ratio is estimated, adaptive modulation and coding can be carried out correspondingly. When the accuracy of the signal-to-noise ratio estimation is high, the performance of adaptive modulation and coding can be improved.
In one implementation, before determining the signal-to-noise ratio according to at least two pilot symbols configured in the received subframe, the method further includes:
configuring at least two symbols in the subframe as the pilot symbols.
The at least two pilot symbols may be configured by the medium access control layer, and the user terminal may instruct the medium access control layer to configure the at least two pilot symbols.
In one implementation, the configuring at least two symbols in the subframe as the pilot symbols in case frequency hopping is not enabled includes:
configuring at least two of the symbols in the subframe as the pilot symbols by a media access control layer configuration.
Wherein, the number of configured pilot symbols may be 2 or greater than 2, for example, 2 pilot symbols are configured, and symbol 2 and symbol 11 are configured as pilot symbols. It is also possible to configure 3 pilot symbols, and configure symbol 2, symbol 7, and symbol 11 as pilot symbols.
In one implementation, the configuring at least two symbols in the subframe as the pilot symbols with frequency hopping enabled includes:
configuring at least two of the symbols within each hopping bandwidth in the subframe as the pilot symbols by a media access control layer configuration.
And under the condition of frequency hopping enabling, configuring the number of pilot symbols to be 2 or more than 2 through a media access control layer in each frequency hopping bandwidth. For example, a user is allocated a total of x Resource Blocks (RBs) and 14 symbols. Where x/2 RBs occupy symbols 0 through 6 and x/2 RBs occupy symbols 7 through 13. In this case, the medium access control layer may configure symbol 2 and symbol 4 as pilot symbols, and the medium access control layer configures symbol 9 and symbol 11 as pilot symbols. Thus, the number of pilot symbols in the first hop bandwidth is 2 and the number of pilot symbols in the second hop bandwidth is 2. Of course, the number of pilot symbols within each hop bandwidth may be greater than 2.
In one implementation, in a case that frequency hopping is not enabled, the determining a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe includes:
if two pilot frequency symbols are configured in the subframe, estimating the signal-to-noise ratio according to the two pilot frequency symbols;
and if more than two pilot frequency symbols are configured in the subframe, estimating the signal-to-noise ratio according to the two adjacent pilot frequency symbols.
Wherein, if 2 pilot symbols are configured, the 2 pilot symbols are adjacent, and the signal-to-noise ratio can be estimated according to the 2 pilot symbols. For example, symbol 2 and symbol 11 are pilot symbols, and adaptive modulation and coding may be performed by the mac layer according to the snr obtained by joint estimation of symbol 2 and symbol 11. If more than 2 pilot symbols are configured, for example, symbol 2, symbol 7, and symbol 11 are configured as pilot symbols. Then, symbol 2 is adjacent to symbol 7, symbol 7 is adjacent to symbol 11, and the signal-to-noise ratio is jointly estimated according to two adjacent pilot symbols, and adaptive modulation and coding can be performed through the media access control layer according to the signal-to-noise ratio obtained by the joint estimation of symbol 2 and symbol 7, and the joint estimation of symbol 7 and symbol 11.
The following may be used for estimating the snr from the adjacent pilot symbols:
the corresponding signal-to-noise ratio can be estimated according to the previous pilot frequency symbol in the adjacent pilot frequency symbol, and the corresponding signal-to-noise ratio can be estimated according to the later pilot frequency symbol in the adjacent pilot frequency symbol. The two signal-to-noise ratios are then averaged as a final signal-to-noise ratio result.
And the corresponding signal-to-noise ratio can be obtained according to the estimation of the previous pilot frequency symbol in the adjacent pilot frequency symbols and the estimation of the later pilot frequency symbol in the adjacent pilot frequency symbols. The two snrs are then weighted as a final snr result.
And balancing the received data of the pilot symbol channel at the back of the adjacent pilot symbols according to the balance weight value obtained by estimating the pilot symbol channel at the front of the adjacent pilot symbols. And balancing the received data of the previous pilot frequency symbol channel in the adjacent pilot frequency symbols according to the balance weight value obtained by estimating the subsequent pilot frequency symbol channel in the adjacent pilot frequency symbols. A Signal to Interference plus Noise Ratio (SINR) is estimated as a final snr result by calculating an Error Vector Magnitude (EVM) for the above equalization result. It will be appreciated that the manner in which the signal-to-noise ratio is estimated from adjacent pilot symbols is not limited to that described above.
In one implementation, in a case that frequency hopping is enabled, the determining a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe includes:
if two pilot frequency symbols are configured in the same frequency hopping bandwidth, estimating the signal-to-noise ratio according to the two pilot frequency symbols in the same frequency hopping bandwidth;
and if more than two pilot frequency symbols are configured in the same frequency hopping bandwidth, estimating the signal-to-noise ratio according to every two adjacent pilot frequency symbols in the same frequency hopping bandwidth.
Wherein, if 2 pilot symbols are configured in a frequency bandwidth, the signal-to-noise ratio can be estimated according to the 2 pilot symbols. For example, a user has a total of x RBs allocated, where x/2 RBs occupy symbol 0 through symbol 6 and x/2 RBs occupy symbol 7 through symbol 13. While symbols 2 and 4 are configured as pilot symbols and symbols 9 and 11 are configured as pilot symbols. Adaptive modulation and coding can be carried out by the media access control layer according to the combination of the symbol 2 and the symbol 4 and the combination of the symbol 9 and the symbol 11 according to the obtained signal-to-noise ratio. For the case that more than 2 pilot symbols are configured in one frequency bandwidth, detailed description thereof is omitted.
The present embodiment provides an adaptive modulation and coding apparatus, as shown in fig. 2, including:
a signal-to-noise ratio determining module 201, configured to determine a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe;
and the adaptive modulation and coding module 202 is configured to perform adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio.
In an implementation manner, the signal-to-noise ratio determining module 201 is specifically configured to:
under the condition that frequency hopping is not enabled, if two pilot symbols are configured in the subframe, estimating the signal-to-noise ratio according to the two pilot symbols; and if more than two pilot frequency symbols are configured in the subframe, estimating the signal-to-noise ratio according to the two adjacent pilot frequency symbols.
In an implementation manner, the signal-to-noise ratio determining module 201 is specifically configured to:
under the condition of frequency hopping enabling, if two pilot frequency symbols are configured in the same frequency hopping bandwidth, estimating the signal-to-noise ratio according to the two pilot frequency symbols in the same frequency hopping bandwidth;
and if more than two pilot frequency symbols are configured in the same frequency hopping bandwidth, estimating the signal-to-noise ratio according to every two adjacent pilot frequency symbols in the same frequency hopping bandwidth.
In one implementation, the adaptive modulation and coding apparatus further includes:
a pilot symbol configuring module, configured to configure at least two symbols in the subframe as the pilot symbols before determining a signal-to-noise ratio according to the at least two pilot symbols configured in the received subframe.
In one implementation, the pilot symbol configuration module is specifically configured to:
configuring at least two of the symbols in the subframe as the pilot symbols by a media access control layer configuration in case frequency hopping is not enabled.
In one implementation, the pilot symbol configuration module is specifically configured to:
configuring, by a media access control layer configuration, at least two of the symbols within each hopping bandwidth in the subframe as the pilot symbols, if hopping enabled.
An embodiment of the present invention provides a base station, as shown in fig. 3, the base station 300 includes a memory 301, a processor 302, a program stored in the memory and executable on the processor, and a data bus for implementing connection communication between the processor 301 and the memory 302, where the program implements the adaptive modulation and coding method provided in any embodiment of the present invention when executed by the processor 301.
Embodiments of the present invention provide a storage medium for computer-readable storage, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement an adaptive modulation and coding method provided by an embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.
In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, and are not to be construed as limiting the scope of the invention. Any modifications, equivalents and improvements which may occur to those skilled in the art without departing from the scope and spirit of the present invention are intended to be within the scope of the claims.

Claims (9)

1. An adaptive modulation and coding method, comprising:
determining a signal-to-noise ratio according to at least two pilot symbols configured in a received subframe;
and performing adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio.
2. The method of claim 1, wherein the determining the signal-to-noise ratio according to at least two pilot symbols configured in the received subframe in case of no frequency hopping enabled comprises:
if two pilot frequency symbols are configured in the subframe, estimating the signal-to-noise ratio according to the two pilot frequency symbols;
and if more than two pilot frequency symbols are configured in the subframe, estimating the signal-to-noise ratio according to the two adjacent pilot frequency symbols.
3. The method of claim 1, wherein the determining the signal-to-noise ratio according to at least two pilot symbols configured in the received subframe with frequency hopping enabled comprises:
if two pilot frequency symbols are configured in the same frequency hopping bandwidth, estimating the signal-to-noise ratio according to the two pilot frequency symbols in the same frequency hopping bandwidth;
and if more than two pilot frequency symbols are configured in the same frequency hopping bandwidth, estimating the signal-to-noise ratio according to every two adjacent pilot frequency symbols in the same frequency hopping bandwidth.
4. The method of claim 1, wherein before determining the signal-to-noise ratio according to at least two pilot symbols configured in the received subframe, further comprising:
configuring at least two symbols in the subframe as the pilot symbols.
5. The method of claim 4, wherein configuring at least two symbols in the subframe as the pilot symbols in case frequency hopping is not enabled comprises:
configuring at least two of the symbols in the subframe as the pilot symbols by a media access control layer configuration.
6. The method of claim 4, wherein configuring at least two symbols in the subframe as the pilot symbols with frequency hopping enabled comprises:
configuring at least two of the symbols within each hopping bandwidth in the subframe as the pilot symbols by a media access control layer configuration.
7. An adaptive modulation and coding apparatus, comprising:
the signal-to-noise ratio determining module is used for determining the signal-to-noise ratio according to at least two pilot symbols configured in the received subframe;
and the adaptive modulation and coding module is used for performing adaptive modulation and coding on the transmission data of the corresponding channel according to the signal-to-noise ratio.
8. A base station, characterized in that the base station comprises a memory, a processor, a program stored on the memory and executable on the processor, and a data bus for enabling a connection communication between the processor and the memory, the program, when executed by the processor, implementing the adaptive modulation coding method according to any one of claims 1-6.
9. A storage medium for computer readable storage, wherein the storage medium stores one or more programs, the one or more programs being executable by one or more processors to implement the adaptive modulation and coding method of any one of claims 1-6.
CN202110394045.1A 2021-04-13 2021-04-13 Adaptive modulation coding method, base station and storage medium Pending CN114124294A (en)

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Application publication date: 20220301