CN114374473A - NB-IoT water meter data retransmission optimization method, system, device and storage medium - Google Patents
NB-IoT water meter data retransmission optimization method, system, device and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/1607—Details of the supervisory signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0056—Systems characterized by the type of code used
- H04L1/0061—Error detection codes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/22—Arrangements for detecting or preventing errors in the information received using redundant apparatus to increase reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/04—Error control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
- H04W28/065—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information using assembly or disassembly of packets
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses an NB-IoT water meter data retransmission optimization method, a system, a device and a storage medium, wherein the method comprises the following steps: acquiring a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, and scrambling the first redundancy version to generate a scrambling code redundancy version; the first redundancy version and the scrambling redundancy version are uploaded again through the asynchronous double processes; selecting the optimal redundancy version from the first redundancy version and the scrambling redundancy version, and analyzing the optimal redundancy version to obtain first message data; and performing CRC (cyclic redundancy check) on the first message data, returning analysis success information if the verification is successful, returning analysis unsuccessful information if the verification is unsuccessful, and retransmitting the second NB-IoT water meter data after attaching the optimal redundancy version to the second NB-IoT water meter data after a preset time interval. The invention improves the analysis success rate of the retransmission message, reduces the retransmission times and retransmission pressure of the message, saves the power consumption of the terminal, and can be widely applied to the technical field of communication of the Internet of things.
Description
Technical Field
The invention relates to the technical field of communication of the Internet of things, in particular to an NB-IoT water meter data retransmission optimization method, an NB-IoT water meter data retransmission optimization system, an NB-IoT water meter data retransmission optimization device and a storage medium.
Background
The water meter is generally installed in signal enhancement coverage areas such as a corridor and a well, the service platform can generally receive messages through the messages and network repeated retransmission, but the messages can not be correctly analyzed at an application layer sometimes due to high network error rate. With the application of the ultrasonic water meter, more and more data need to be collected and transmitted. When the received message cannot be analyzed correctly, the service platform directly abandons the current message, the reply terminal retransmits the current message, if the current message fails for 3 times, the current message is stopped on the same day, and the retransmission is carried out every other day, but a large amount of power consumption is needed when the large message is retransmitted.
The current mainstream application layer retransmission method of the NB-IoT water meter comprises the following steps: and for unsuccessfully transmitted messages every day, the messages are retransmitted for 3 times in the same day and then are transmitted again after being attached to new messages in the next day, and the message transmission is stopped after the new messages are continuously transmitted for 3 days. This method can only circumvent the random noise of the channel. The NB-IoT network Harq retransmission mechanism is: each message transmitted is decomposed into a full set and a plurality of RV (redundancy version) subsets after network layer coding, and the RV subsets are retransmitted one at a time so as to increase the decoding capability of TBS blocks (transport blocks). The generation of these RV subsets is relevant only to the present message.
The two retransmission main bodies of the NB-IoT water meter belong to different responsible parties, are respectively designed by an operator and a water meter factory, the former is the TBS block retransmission in a single message, the latter is the retransmission between messages, and the former message which is not analyzed is directly discarded, so the two retransmission modes are independently carried out, the retransmission times of the messages are too many, the pressure and the power consumption of the terminal retransmission every other day are increased, and the analysis success rate of the messages is also influenced.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems existing in the prior art.
Therefore, an object of the embodiments of the present invention is to provide an NB-IoT water meter data retransmission optimization method, which improves the success rate of parsing retransmission messages, thereby reducing the retransmission times of the messages and the pressure of retransmission every other day, and saving the power consumption of the terminal.
Another object of the embodiments of the present invention is to provide an NB-IoT water meter data retransmission optimization system.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps:
in a first aspect, an embodiment of the present invention provides an NB-IoT water meter data retransmission optimization method, including the following steps:
acquiring a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, and scrambling the first redundancy version to generate a scrambling code redundancy version;
the first redundancy version and the scrambling code redundancy version are uploaded again through an asynchronous double process;
selecting the best redundancy version from the first redundancy version and the scrambling redundancy version, and analyzing the best redundancy version to obtain first message data;
and performing CRC (cyclic redundancy check) on the first message data, returning analysis success information if the first message data is successfully checked, returning analysis unsuccessful information if the first message data is not successfully checked, and retransmitting the second NB-IoT water meter data after the optimal redundancy version is attached to the second NB-IoT water meter data after a preset time interval.
Further, in an embodiment of the present invention, the step of obtaining a first redundancy version of the first NB-IoT water meter data that is not successfully parsed, and scrambling the first redundancy version to generate a scrambling code redundancy version specifically includes:
acquiring a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, wherein the first NB-IoT water meter data are transmitted by a Harq method, and the first redundancy version is generated by decomposition when the first NB-IoT water meter data are transmitted by the Harq method;
and generating a first pseudo-random sequence, and scrambling the first redundancy version through the first pseudo-random sequence to obtain a scrambled scrambling code redundancy version.
Further, in an embodiment of the present invention, the step of uploading the first redundancy version and the scrambling code redundancy version again through an asynchronous dual process specifically includes:
adding the same version number to the first redundancy version and the scrambling redundancy version;
configuring a network as Harq uplink asynchronization, and configuring a terminal as an asynchronous double-process;
and sending the first redundancy version and the scrambling redundancy version after adding the version number to the network through the terminal.
Further, in an embodiment of the present invention, the step of selecting an optimal redundancy version from the first redundancy version and the scrambling code redundancy version specifically includes:
respectively calculating weighted signal-to-noise ratios of the first redundancy version and the scrambling redundancy version;
and selecting the redundancy version with the largest weighted signal-to-noise ratio as the optimal redundancy version.
Further, in an embodiment of the present invention, the step of appending the optimal redundancy version to the second NB-IoT water meter data after the preset time interval for retransmission specifically includes:
after a preset time interval, acquiring second NB-IoT water meter data to be uploaded currently and an optimal redundancy version to be retransmitted currently;
and adding the optimal redundancy version to the end of the message of the second NB-IoT water meter data to obtain retransmitted water meter data, and transmitting the retransmitted water meter data by a Harq method.
Further, in an embodiment of the present invention, the NB-IoT water meter data retransmission optimization method further includes the following steps:
and establishing a TBS block positioning table according to the returned analysis result, wherein the TBS positioning table is used for filtering the TBS block so as to determine the current optimal redundancy version to be retransmitted.
In a second aspect, an embodiment of the present invention provides an NB-IoT water meter data retransmission optimization system, including:
the scrambling code redundancy version generation module is used for acquiring a first redundancy version of the unsuccessfully analyzed first NB-IoT water meter data, scrambling the first redundancy version and generating a scrambling code redundancy version;
the asynchronous double-process uploading module is used for uploading the first redundancy version and the scrambling redundancy version again through an asynchronous double process;
the optimal redundancy version selecting and analyzing module is used for selecting an optimal redundancy version from the first redundancy version and the scrambling redundancy version and analyzing the optimal redundancy version to obtain first message data;
and the checking module is used for performing CRC (cyclic redundancy check) on the first message data, returning successful analysis information if the first message data is successfully checked, returning unsuccessful analysis information if the first message data is not successfully checked, and retransmitting the second NB-IoT water meter data after the optimal redundancy version is attached to the second NB-IoT water meter data after a preset time interval.
Further, in an embodiment of the present invention, the scrambling code redundancy version generation module includes:
the first redundancy version acquisition unit is used for acquiring a first redundancy version of first NB-IoT water meter data which is not successfully analyzed, the first NB-IoT water meter data is transmitted by a Harq method, and the first redundancy version is generated by decomposition when the first NB-IoT water meter data is transmitted by the Harq method;
and the scrambling unit is used for generating a first pseudo-random sequence and scrambling the first redundancy version through the first pseudo-random sequence to obtain a scrambled scrambling code redundancy version.
In a third aspect, an embodiment of the present invention provides an NB-IoT water meter data retransmission optimization apparatus, including:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, the at least one program causes the at least one processor to implement a NB-IoT water meter data retransmission optimization method as described above.
In a fourth aspect, the present invention also provides a computer-readable storage medium, in which a processor-executable program is stored, and the processor-executable program is configured to execute the NB-IoT water meter data retransmission optimization method described above when executed by a processor.
Advantages and benefits of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention:
the embodiment of the invention adopts a terminal network cooperative mode to retransmit NB-IoT water meter data, optimizes the RV retransmission method in the existing single message, enhances the RV retransmission of a network layer by utilizing the message retransmission of a terminal application layer, improves the TBS resolving capability of the network by complementing the redundant information of two layers of retransmission, and improves the resolving success rate of retransmitted messages, thereby reducing the retransmission times of the messages and the pressure of retransmission every other day and saving the power consumption of the terminal.
Drawings
In order to more clearly illustrate the technical solution in the embodiment of the present invention, the following description is made on the drawings required to be used in the embodiment of the present invention, and it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments in the technical solution of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart illustrating steps of an NB-IoT water meter data retransmission optimization method according to an embodiment of the present invention;
fig. 2 is a block diagram of an NB-IoT water meter data retransmission optimization system according to an embodiment of the present invention;
fig. 3 is a block diagram of an NB-IoT water meter data retransmission optimization apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
In the description of the present invention, the meaning of a plurality is two or more, if there is a description to the first and the second for the purpose of distinguishing technical features, it is not understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the precedence of the indicated technical features. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.
Referring to fig. 1, an embodiment of the present invention provides an NB-IoT water meter data retransmission optimization method, which specifically includes the following steps:
s101, a first redundancy version of the first NB-IoT water meter data which is not successfully analyzed is obtained, scrambling is carried out on the first redundancy version, and a scrambling code redundancy version is generated.
Specifically, during the first message transmission, the redundancy version is transmitted in the fixed sequence of the RV by the Harq method in the network layer, if the demodulation cannot be successfully performed, the second message transmission may face to the similar channel noise, and if new redundancy information cannot be added, the cost performance of the message retransmission is low. Therefore, the embodiment of the invention scrambles the first redundancy version to generate a new redundancy version, namely a scrambling redundancy version, the probability of the similarity of the redundancy version and the channel noise is low, and the success rate of message analysis can be improved. Step S101 specifically includes the following steps:
s1011, obtaining a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, wherein the first NB-IoT water meter data are transmitted by a Harq method, and the first redundancy version is generated by decomposition when the first NB-IoT water meter data are transmitted by the Harq method;
s1012, generating a first pseudo-random sequence, and scrambling the first redundancy version through the first pseudo-random sequence to obtain a scrambled scrambling code redundancy version.
Specifically, in order to enable the retransmission message to resist channel noise, the retransmission message is scrambled by introducing a scrambling code, so that the error rate of the decoded TBS is reduced, and the validity of the redundant information is improved. The retransmission message generates a full set of S and P1 and P2 subsets after scrambling by a pseudo-random sequence, wherein P1 and P2 are redundancy versions of S and carry the same information.
And S102, the first redundancy version and the scrambling redundancy version are uploaded again through the asynchronous double processes.
Specifically, the RV of the retransmission packet cannot be directly used since the number of RVs supported by the network side is 2 and the Harq process of NB-IoT is single-process. In the embodiment of the present invention, the first redundancy version and the scrambling redundancy version are uploaded again through an asynchronous dual process, and step S102 specifically includes the following steps:
s1021, adding the same version number to the first redundancy version and the scrambling redundancy version;
s1022, configuring the network as Harq uplink asynchronous, and configuring the terminal as asynchronous double processes;
and S1023, sending the first redundancy version and the scrambling redundancy version after adding the version number to the network through the terminal.
Specifically, in order to use the redundancy version of the retransmission message, the network is configured to be Harq uplink asynchronous, meanwhile, the terminal side is designed to be asynchronous double processes, and the same sequence RV of the front message and the rear message carries the same version number, so that the messages can be sent to the network at any time without being limited by time sequence. After receiving the first redundancy version and the scrambling redundancy version, the network side can perform matching according to the version number carried by the first redundancy version and the scrambling redundancy version.
It can be appreciated that the custom module generates 2 Harq processes, and the base station is configured to support Harq asynchronization, so that the TBS carrying a better SNR in the retransmission packet may generate additional redundant information, improving the resolution capability.
S103, selecting the best redundancy version from the first redundancy version and the scrambling redundancy version, and analyzing the best redundancy version to obtain first message data.
Specifically, part of information of the current message which cannot be analyzed correctly can still be used for analysis together with the retransmitted message, scrambling enhancement is performed on the previous unresolved message by using the retransmitted message, and the optimal RV in 2 messages before and after retransmission is selected for demodulation.
As a further optional implementation manner, the step of selecting the best redundancy version from the first redundancy version and the scrambling code redundancy version specifically includes:
a1, respectively calculating weighted signal-to-noise ratios of the first redundancy version and the scrambling code redundancy version;
and A2, selecting the redundancy version with the largest weighted signal-to-noise ratio as the best redundancy version.
Specifically, taking two first redundancy versions and two corresponding scrambling code redundancy versions as an example, the network side selects 2 best redundancy versions from the received 4 redundancy versions for resolution according to SNR weighting. The channel's bad 2 redundancy version weights are taken to be 0 and discarded directly.
And S104, performing CRC (cyclic redundancy check) on the first message data, returning successful analysis information if the first message data is successfully verified, returning unsuccessful analysis information if the first message data is unsuccessfully verified, and retransmitting the second NB-IoT water meter data after the optimal redundancy version is attached to the second NB-IoT water meter data after a preset time interval.
Specifically, the service platform performs CRC on the new analysis message, and if the CRC passes, replies a terminal analysis success message; and for the message which cannot be analyzed, the terminal application layer attaches the message to a new message every other day and then retransmits the message.
As a further optional implementation manner, the step of appending the optimal redundancy version to the second NB-IoT water meter data after a preset time interval and then retransmitting the data specifically includes:
b1, acquiring second NB-IoT water meter data to be uploaded currently and the optimal redundancy version to be retransmitted currently after a preset time interval;
and B2, adding the optimal redundancy version at the end of the message of the second NB-IoT water meter data to obtain the retransmitted water meter data, and transmitting the retransmitted water meter data by a Harq method.
As a further optional implementation, the NB-IoT water meter data retransmission optimization method further includes the following steps:
and establishing a TBS block positioning table according to the returned analysis result, wherein the TBS positioning table is used for filtering the TBS block so as to determine the current optimal redundancy version to be retransmitted.
Specifically, the customizing module establishes a positioning table according to an analysis result replied by the platform, filters the TBS blocks to be transmitted every other day, and only transmits the TBS blocks which are not decoded successfully.
The method steps of the embodiments of the present invention are described above. It can be appreciated that in the embodiment of the present invention, the pseudo random sequence generation module scrambles the retransmission message, so as to generate a new scrambling code redundancy version, and the customization module sets the dual Harq process, so that the transmitted TBS block is not limited by the timing sequence; the base station is set to Harq asynchronization, can receive the TBS block of the pair of Harq course at the same time, can carry on the soft combination of weighting according to RRM (radio resource management) measured value; the service platform performs CRC on the newly analyzed message, and if the newly analyzed message passes the CRC, the service platform replies that the analysis is successful; if not, it retransmits every other day and performs TBS block filtering. The embodiment of the invention generates the optimal RV by using the redundant information between the retransmission message and the TBS block of the previous message, so that the network and the service platform can reuse the unsuccessfully analyzed message, and not only can be simply discarded, but also can be applied to an NB-IoT energy-saving terminal, and the analysis capability of the message is improved through the optimal redundancy, thereby reducing the pressure of transmission every other day and saving the power consumption.
The method has the advantages that the NB-IoT water meter data retransmission is carried out in an end network cooperation mode, the RV retransmission method in the existing single message is optimized, the RV retransmission of a network layer is enhanced by using the message retransmission of a terminal application layer, the TBS resolving capability of the network is improved by complementing the redundant information of two layers of retransmission, the resolving success rate of the retransmitted message is improved, the message retransmission times and the pressure of retransmission every other day are reduced, and the power consumption of the terminal is saved.
Referring to fig. 2, an embodiment of the present invention provides an NB-IoT water meter data retransmission optimization system, including:
the scrambling code redundancy version generation module is used for acquiring a first redundancy version of the unsuccessfully analyzed first NB-IoT water meter data, scrambling the first redundancy version and generating a scrambling code redundancy version;
the asynchronous double-process uploading module is used for re-uploading the first redundancy version and the scrambling redundancy version through an asynchronous double process;
the optimal redundancy version selecting and analyzing module is used for selecting an optimal redundancy version from the first redundancy version and the scrambling redundancy version and analyzing the optimal redundancy version to obtain first message data;
and the checking module is used for performing CRC (cyclic redundancy check) on the first message data, returning successful analysis information if the first message data is successfully checked, returning unsuccessful analysis information if the first message data is not successfully checked, and retransmitting the second NB-IoT water meter data after the optimal redundancy version is attached to the second NB-IoT water meter data after a preset time interval.
As a further optional implementation manner, the scrambling code redundancy version generation module includes:
the first redundancy version acquisition unit is used for acquiring a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, the first NB-IoT water meter data are transmitted by a Harq method, and the first redundancy version is a redundancy version generated by decomposition when the first NB-IoT water meter data are transmitted by the Harq method;
and the scrambling unit is used for generating a first pseudo-random sequence and scrambling the first redundancy version through the first pseudo-random sequence to obtain a scrambled scrambling code redundancy version.
The contents in the above method embodiments are all applicable to the present system embodiment, the functions specifically implemented by the present system embodiment are the same as those in the above method embodiment, and the beneficial effects achieved by the present system embodiment are also the same as those achieved by the above method embodiment.
Referring to fig. 3, an embodiment of the present invention provides an NB-IoT water meter data retransmission optimization apparatus, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one program causes the at least one processor to implement the NB-IoT water meter data retransmission optimization method.
The contents in the above method embodiments are all applicable to the present apparatus embodiment, the functions specifically implemented by the present apparatus embodiment are the same as those in the above method embodiments, and the advantageous effects achieved by the present apparatus embodiment are also the same as those achieved by the above method embodiments.
An embodiment of the present invention further provides a computer-readable storage medium, in which a processor-executable program is stored, and the processor-executable program is configured to execute the NB-IoT water meter data retransmission optimization method described above when executed by a processor.
The computer-readable storage medium of the embodiment of the invention can execute the NB-IoT water meter data retransmission optimization method provided by the method embodiment of the invention, can execute any combination of the implementation steps of the method embodiment, and has corresponding functions and beneficial effects of the method.
The embodiment of the invention also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and executed by the processor to cause the computer device to perform the method illustrated in fig. 1.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the above-described functions and/or features may be integrated in a single physical device and/or software module, or one or more of the functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The above functions, if implemented in the form of software functional units and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer readable medium could even be paper or another suitable medium upon which the above described program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the foregoing description of the specification, reference to the description of "one embodiment/example," "another embodiment/example," or "certain embodiments/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 invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An NB-IoT water meter data retransmission optimization method is characterized by comprising the following steps:
acquiring a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, and scrambling the first redundancy version to generate a scrambling code redundancy version;
the first redundancy version and the scrambling code redundancy version are uploaded again through an asynchronous double process;
selecting the best redundancy version from the first redundancy version and the scrambling redundancy version, and analyzing the best redundancy version to obtain first message data;
and performing CRC (cyclic redundancy check) on the first message data, returning analysis success information if the first message data is successfully checked, returning analysis unsuccessful information if the first message data is not successfully checked, and retransmitting the second NB-IoT water meter data after the optimal redundancy version is attached to the second NB-IoT water meter data after a preset time interval.
2. The NB-IoT water meter data retransmission optimization method according to claim 1, wherein the step of obtaining the first redundancy version of the first NB-IoT water meter data that is not successfully parsed, scrambling the first redundancy version, and generating the scrambling code redundancy version specifically includes:
acquiring a first redundancy version of unsuccessfully analyzed first NB-IoT water meter data, wherein the first NB-IoT water meter data are transmitted by a Harq method, and the first redundancy version is generated by decomposition when the first NB-IoT water meter data are transmitted by the Harq method;
and generating a first pseudo-random sequence, and scrambling the first redundancy version through the first pseudo-random sequence to obtain a scrambled scrambling code redundancy version.
3. The NB-IoT water meter data retransmission optimization method according to claim 1, wherein the step of re-uploading the first redundancy version and the scrambling redundancy version through an asynchronous dual process specifically comprises:
adding the same version number to the first redundancy version and the scrambling redundancy version;
configuring a network as Harq uplink asynchronization, and configuring a terminal as an asynchronous double-process;
and sending the first redundancy version and the scrambling redundancy version after adding the version number to the network through the terminal.
4. The NB-IoT water meter data retransmission optimization method according to claim 1, wherein the step of selecting the best redundancy version from the first redundancy version and the scrambling redundancy version specifically comprises:
respectively calculating weighted signal-to-noise ratios of the first redundancy version and the scrambling redundancy version;
and selecting the redundancy version with the largest weighted signal-to-noise ratio as the optimal redundancy version.
5. The NB-IoT water meter data retransmission optimization method according to claim 1, wherein the step of appending the optimal redundancy version to the second NB-IoT water meter data after a predetermined time interval for retransmission specifically comprises:
after a preset time interval, acquiring second NB-IoT water meter data to be uploaded currently and an optimal redundancy version to be retransmitted currently;
and adding the optimal redundancy version to the end of the message of the second NB-IoT water meter data to obtain retransmitted water meter data, and transmitting the retransmitted water meter data by a Harq method.
6. The NB-IoT water meter data retransmission optimization method according to claim 5, wherein the NB-IoT water meter data retransmission optimization method further comprises the steps of:
and establishing a TBS block positioning table according to the returned analysis result, wherein the TBS positioning table is used for filtering the TBS block so as to determine the current optimal redundancy version to be retransmitted.
7. An NB-IoT water meter data retransmission optimization system, comprising:
the scrambling code redundancy version generation module is used for acquiring a first redundancy version of the unsuccessfully analyzed first NB-IoT water meter data, scrambling the first redundancy version and generating a scrambling code redundancy version;
the asynchronous double-process uploading module is used for uploading the first redundancy version and the scrambling redundancy version again through an asynchronous double process;
the optimal redundancy version selecting and analyzing module is used for selecting an optimal redundancy version from the first redundancy version and the scrambling redundancy version and analyzing the optimal redundancy version to obtain first message data;
and the checking module is used for performing CRC (cyclic redundancy check) on the first message data, returning successful analysis information if the first message data is successfully checked, returning unsuccessful analysis information if the first message data is not successfully checked, and retransmitting the second NB-IoT water meter data after the optimal redundancy version is attached to the second NB-IoT water meter data after a preset time interval.
8. The NB-IoT water meter data retransmission optimization system according to claim 7, wherein the scrambling code redundancy version generation module comprises:
the first redundancy version acquisition unit is used for acquiring a first redundancy version of first NB-IoT water meter data which is not successfully analyzed, the first NB-IoT water meter data is transmitted by a Harq method, and the first redundancy version is generated by decomposition when the first NB-IoT water meter data is transmitted by the Harq method;
and the scrambling unit is used for generating a first pseudo-random sequence and scrambling the first redundancy version through the first pseudo-random sequence to obtain a scrambled scrambling code redundancy version.
9. An NB-IoT water meter data retransmission optimization device, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, the at least one program causes the at least one processor to implement the NB-IoT water meter data retransmission optimization method according to any of claims 1-6.
10. A computer readable storage medium having stored therein a processor executable program, wherein the processor executable program when executed by a processor is configured to perform an NB-IoT water meter data retransmission optimization method as recited in any one of claims 1 to 6.
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