CN108062041B - RaptorQ coding parameter dynamic adjustment method and device for power wireless service - Google Patents

RaptorQ coding parameter dynamic adjustment method and device for power wireless service Download PDF

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CN108062041B
CN108062041B CN201711210877.3A CN201711210877A CN108062041B CN 108062041 B CN108062041 B CN 108062041B CN 201711210877 A CN201711210877 A CN 201711210877A CN 108062041 B CN108062041 B CN 108062041B
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raptorq
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CN108062041A (en
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周伯阳
郭志民
牛霜霞
莫坚松
王艳敏
张伟
吕卓
陈岑
张威
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State Grid Corp of China SGCC
State Grid Henan Electric Power Co Ltd
Electric Power Research Institute of State Grid Henan Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Henan Electric Power Co Ltd
Electric Power Research Institute of State Grid Henan Electric Power Co Ltd
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Abstract

The embodiment of the invention provides a dynamic RaptorQ encoding parameter adjusting method and device for power wireless service. The raptorQ coding parameter adjusting method obtains the quality condition of a channel, calculates and analyzes the quality condition of the channel to obtain characteristic data so as to reflect the quality of the channel, feeds back the characteristic data when meeting a preset condition, optimizes coding parameters and adjusts the coding parameters according to an optimization result. Through the mode, the method and the device can generate the adjustment parameters matched with the channel quality, so that the anti-interference capability of the channel is enhanced.

Description

RaptorQ coding parameter dynamic adjustment method and device for power wireless service
Technical Field
The present invention relates to a power industry control network covering wireless communication access, and in particular, to a RaptorQ coding parameter adjustment method, apparatus, and control network.
Background
The electric power wireless terminals comprise wireless terminals such as a power distribution network, a power utilization network, a charging pile and an Internet of vehicles, the terminals are connected into a main station system of the power distribution network and the power utilization network through a 2G-4.5G wireless network to form an electric power wireless industrial control network, a wireless channel is used for transmitting remote measurement, remote signaling and remote control (three remote for short) instructions between the main station and the terminals, and information acquisition and control of the main station to the terminals are further achieved. According to incomplete statistics, the wireless terminals occupy more than about 50% of nodes in China. However, the existing communication coding considers the characteristic of low code rate of the power industry control service, the power industry control wireless channel cannot dynamically adjust the coding strategy according to the interference degree of the channel, and the problems of high delay, high power consumption and the like are caused.
Disclosure of Invention
The invention mainly solves the technical problem of providing a dynamic RaptorQ encoding parameter adjusting method, a device and a control network aiming at the power wireless service, and can solve the problem of higher data packet loss rate or higher data packet delay when a power wireless access channel is interfered by noise such as in-band noise, out-of-band noise, illegal noise and the like.
In order to solve the above technical problem, an embodiment of the present invention provides a dynamic RaptorQ coding parameter adjustment method for power wireless services, including the following steps:
acquiring the quality condition of a channel, and analyzing the quality condition of the channel to obtain channel characteristic data;
performing feedback processing on the characteristic data under a preset condition and optimizing the RaptorQ coding parameter based on the feedback processing;
and adjusting the encoding parameters based on the optimization result.
An embodiment of the present invention further provides a network relay apparatus, including: an encoding unit and a decoding unit. The RaptorQ coding parameter adjusting unit comprises a channel feedback subunit and a coding parameter optimizing subunit, wherein the channel feedback subunit is used for generating a control frame according to the acquired data frame, the data frame at least carries characteristic data obtained based on the characteristics of the channel quality condition, and the control frame is used for feeding back the characteristic data under a preset condition; and the coding parameter optimizing subunit is used for optimizing the coding parameters based on the characteristic data according to the received control frame and sending the optimized result to the coding unit to adjust the coding parameters. And the data packet sending unit is used for generating a first data packet for sending to a physical network interface after receiving the coding parameters adjusted by the coding unit, the control frame from the channel feedback subunit and the source data packet from the decoding unit. And the data packet receiving unit is used for receiving a second data packet from the physical network interface to generate the data frame and the control frame, respectively sending the data frame to the decoding unit and the channel feedback subunit, and sending the control frame to the coding parameter optimization subunit.
An embodiment of the present invention further provides a power wireless industrial control network, including: and (5) a power grid master station. A wireless communication system. And the power grid master station instructs the power terminal through the wireless communication system. The first network relay device according to the embodiment is coupled to the grid master station through a first master station physical network interface; and is coupled with the wireless communication system through a first wireless network side physical network interface. The second network relay device according to the above embodiment is coupled to the power terminal through the second master station physical network interface, and is coupled to the wireless communication system through the second wireless network side physical network interface.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of obtaining at least the quality condition of a channel, obtaining characteristic data by calculating and analyzing the quality condition of the channel, reflecting the quality of the channel, feeding the characteristic data back to a corresponding processing unit internally under the condition of meeting the preset condition, optimizing coding parameters, adjusting the coding parameters according to the optimization result, and generating adjustment parameters matched with the capacity and the quality of the channel, so that the anti-interference capability of the channel is enhanced.
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FIG. 1 is a flow chart of an embodiment of a RaptorQ encoding parameter adjusting method according to the present invention;
FIG. 2 is another schematic flow chart of an embodiment of a RaptorQ encoding parameter adjustment method of the present invention;
FIG. 3 is a schematic flow chart of another embodiment of the RaptorQ encoding parameter adjusting method of the present invention;
fig. 4 is a schematic diagram of a coding block structure of an embodiment of a network relay device of the present invention;
FIG. 5 is a schematic circuit diagram of a network relay device according to an embodiment of the present invention;
fig. 6 is a circuit schematic diagram of the power wireless industrial control network of the present invention.
Detailed Description
The RaptorQ code is a linear code composed of a concatenation of precoding and LT coding. The encoding is divided into two processes of pre-encoding and LT encoding. The raptorQ code is one of digital fountain coding technologies, and is widely used in the fields of wireless real-time multimedia transmission, file distribution, satellite communication and the like at present.
Referring to fig. 1, 4 and 5, an embodiment of a RaptorQ coding parameter adjusting method based on dynamic perception of access channel quality of a power wireless terminal according to the present invention includes the following steps:
s1: and acquiring the quality condition of the channel, and analyzing the characteristics of the acquired channel quality condition to obtain characteristic data.
S2: and performing feedback processing on the characteristic data under a preset condition and optimizing the encoding parameter based on the feedback processing.
S3: and adjusting the encoding parameters based on the optimization result.
The embodiment of the invention is mainly applied to electric power wireless communication, a power grid master station and an electric power terminal form a wireless industrial control system through a wireless communication network, a wireless channel is used for transmitting instructions between the power grid master station and the electric power terminal, such as telemetering, remote signaling and remote control (three remote) instructions for short, and further realizes the information acquisition and control of the master station to the terminal The transmission rate. The network relay device carries out a series of processing on the characteristic data in the data packet, such as coding and decoding, coding parameter adjustment and the like, feeds the characteristic data back to a corresponding processing unit under the condition of meeting the preset condition, carries out optimization processing on the coding parameters, adjusts the coding parameters according to the optimization result, such as increasing or reducing the coding length, and generates the adjustment parameters matched with the capacity and the quality of the channel when the channel quality is poor, thereby enhancing the anti-interference capability of the channel.
Referring to fig. 2, optionally, the step of acquiring the quality condition of the channel and analyzing the characteristic of the quality condition of the channel to obtain the characteristic data includes:
s11: the method comprises the steps of obtaining the condition of the power service flow, the quality condition of a channel and the coding error condition, and analyzing the characteristics of the condition of the power service flow, the quality condition of the channel and the coding error condition to obtain characteristic data.
In this embodiment, the condition of the power service flow is, for example, the arrival time distribution characteristics of the power service flow such as the power distribution network of the power grid master station and the power consumption information acquisition, and the characteristics of the power service flow affect the transmission quality of the wireless channel, so that the condition of the power service flow needs to be obtained while the channel quality condition is obtained. It is generally accepted that the faster the arrival time of the power traffic, the faster the transmission rate of the channel. In this embodiment, the coding error condition, for example, the coding error rate also needs to be analyzed, because in the communication process between the grid master station and the power terminal, the coding error may have a certain influence on the communication, and the higher the coding error rate is, the lower the wireless channel bandwidth may be caused, thereby affecting the transmission rate. Generally, the transmission rate, packet loss rate and coding error rate of the current channel determine its quality, and the faster the transmission rate, the lower the packet loss rate and coding error rate, the better the channel quality condition. Besides analyzing the quality condition of the channel, it is also necessary to acquire various factors such as power service flow, coding error rate, transmission delay, etc., and to comprehensively analyze the influence on the quality condition, so as to accurately adjust the coding parameters according to the actual condition.
Therefore, in this embodiment, the power service flow condition, the channel quality condition and the coding error condition are obtained, and meanwhile, the characteristics of the three are analyzed, and a certain algorithm, such as an average value, a weighting, a time sequence and the like, is utilized to synthesize the influences of the power service flow condition, the channel quality condition and the coding error condition, such as the influence of the fluctuation characteristics of the measurement results of the three on the channel transmission quality, so as to calculate the coding parameters accurately in real time by multiple considerations, and further achieve prediction and correction performed in more time. Thus, the characteristic data is generated in coordination with integrating the characteristics of the power traffic flow condition, the quality condition of the channel, and the coding error condition.
Optionally, in this embodiment, the predetermined condition includes performing feedback processing on the characteristic data at a predetermined time interval and optimizing the encoding parameter based on the feedback processing.
In the present embodiment, for example, a time series analysis method such as a moving average or an average is used to continuously measure a data stream of wireless communication to obtain characteristic data, and the characteristic data is transmitted at a predetermined time interval and fed back to be processed, so that an encoding parameter can be periodically or in real time corrected, and an influence by channel interference can be reduced more favorably. The preset time interval may be set according to actual needs, and is not limited herein.
Optionally, in this embodiment, the predetermined condition includes that a packet loss rate is greater than or equal to a preset value, and when the packet loss rate is greater than or equal to the preset value, the characteristic data is subjected to feedback processing and the encoding parameter is optimized based on the feedback processing.
For example, the packet loss number of the packet stream is counted by detecting the continuity of the symbol ID associated with the data frame in the encoded packet, an estimated value of the packet modification rate is obtained by a time series analysis method such as a sliding average or a mean, and when the estimated value is increased sharply, for example, greater than or equal to a preset value, characteristic data is fed back for fast responding to the change of channel quality and the like, and the encoding parameter is corrected in time. In this embodiment, the preset value may be set according to actual conditions, and is not limited.
Optionally, the predetermined condition includes that the data packet sent by the sender to the receiver carries characteristic data.
Specifically, in a power wireless power communication network, generally, one network relay device is arranged between a power master station and a wireless communication system, for example, including a 2G-4.5G wireless network, and another network relay device is arranged between a power terminal and the wireless communication system. For example, the side close to the power master is the transmitting side, and the side close to the power terminal is the receiving side. In the two network relay devices, data can be independently received and data packets can be sent to the other side, when the receiver sends the data packets to the sender, the data packets generate characteristic data after being decoded and coded by the sender, feedback processing is carried out, coding parameter adjustment is carried out, meanwhile, the data packets carrying the characteristic data are sent to the receiver, and the receiver also carries out corresponding adjustment. The two sides are adjusted simultaneously, so that the quality and the anti-interference capability of a wireless channel of the whole power industry control network can be improved.
Or, referring to fig. 4, in a single network relay device, there are a sender and a receiver, the channel feedback subunit 131 is located on the receiver side (receiver side), and the coding parameter optimizing subunit 132 is located on the sender side (transmitter side), where the predetermined condition is that the coding parameter optimizing subunit 132 receives the characteristic data carried in the data packet sent by the channel feedback subunit 131, and then the coding parameter optimizing subunit 132 performs optimization and adjustment, that is, performs feedback processing on the characteristic data and optimizes the coding parameter based on the feedback processing.
Optionally, the coding parameters include a symbol size within a RaptorQ message block and a length of a redundancy code. In this embodiment, the optimization and adjustment of the encoding parameters are, for example, the symbol size and the length of the redundancy code in the RaptorQ message block, or the encoding length. For example, when the packet loss rate of the wireless channel is greater than a preset value, the remaining bandwidth of the wireless channel is used to dynamically increase the RaptorQ redundancy coding length, that is, the size of the symbol in the message block and the length of the redundancy code are increased. When noise interference occurs, the change of characteristic data such as channel transmission quality can be sensed, the coding length is quickly adjusted, the minimum correction coding length is selected, and the loss rate of data packets is reduced.
Referring to fig. 3, optionally, the RaptorQ coding parameter adjusting method based on dynamic perception of the quality of the access channel of the power wireless terminal according to the embodiment of the present invention further includes the following steps:
s4: acquiring time data, judging whether the time data meets a preset delay range or not, if not, acquiring at least the condition of the power service flow and the quality condition of a channel, and analyzing at least the characteristics of the power service flow condition and the channel quality condition to obtain characteristic data; wherein the time includes an encoding processing time, a transmission time, and a forwarding time. If yes, the characteristic data may not be acquired, or the analysis characteristic data may be continuously acquired according to a preset time interval or other preset conditions.
By detecting whether the time data meets a preset delay range, for example, detecting that the current time data is 5ms, and the preset delay range is 1ms-10ms, the current encoding processing time, transmission time and forwarding time meet the delay regulation, the current data transmission and forwarding can be considered to be smooth and not to be blocked.
Referring to fig. 5 and 6, an embodiment of a network relay device of the present invention includes: encoding section 11 and decoding section 12. The RaptorQ coding parameter adjusting unit 13 includes a channel feedback sub-unit 131 and a coding parameter optimizing sub-unit 132. Wherein the channel feedback sub-unit 131 is configured to generate a control frame according to the acquired data frame. The data frame carries at least characteristic data including characteristics based on channel quality conditions. The control frame is used for feeding back the characteristic data under a predetermined condition. The encoding parameter optimizing subunit 132 is configured to optimize the encoding parameter according to the received characteristic data fed back by the control frame, and send the optimized result to the encoding unit 11 to adjust the encoding parameter. A packet sending unit 14, configured to receive the encoding parameter adjusted by the encoding unit 11, the control frame from the channel feedback subunit 131, and the source packet from the decoding unit 12, generate a first packet, and send the first packet to a physical network interface (16, 17). A data packet receiving unit 15, configured to receive a second data packet from a physical network interface (16, 17), generate the data frame and the control frame, send the data frame to the decoding unit 12 and the channel feedback subunit 131, respectively, and send the control frame to the encoding parameter optimizing subunit 132.
In this embodiment, the network repeater operates on a computing platform, and the computing platform provides two duplex physical network interfaces, that is, a physical network interface 16 on the master station side and a physical network interface 17 on the wireless network side, both of which can receive a first data packet from the data packet sending unit 14 and can send a second data packet to the data packet receiving unit 15, and both of which are connected to a data packet receiver and a data packet transmitter. The packet receiver and the packet transmitter are implemented using standardized IP network interface software or hardware. The encoding unit 11 and the decoding unit 12 may be implemented by using an existing software and hardware system conforming to IETF RFC 6330 standard.
In this embodiment, the channel feedback sub-unit 131 generates a control frame according to the received data frame, and transmits the control frame to the physical network interface 16 on the master station side through the data packet transmitting unit 14. The coding parameter optimizing subunit 132 first receives the control frame of the data packet receiving unit 15, then generates the coding adjustment parameter of the coding unit 11, and finally issues the coding adjustment parameter to the coding unit 11, and when the channel quality deteriorates, the coding parameter optimizing subunit 132 generates the adjustment parameter matching the channel capacity and quality, thereby enhancing the anti-interference capability of the channel.
In one application scenario, the channel feedback subunit 131 operates in a network relay deviceOn the receiving side, the unit measures the current data stream Y (FID, ESI, p, k, o, τ) continuously by time series analysis such as moving average or meanmaxS) obtaining an estimate of the throughput of the data stream
Figure BDA0001484564850000071
And the packet loss number of the stream is counted by detecting the continuity of the data frame symbol ID, and the estimated value of the data packet loss rate is obtained by a time sequence analysis method such as a sliding average value or an average value
Figure BDA0001484564850000072
C (FID, L, λ) is sent to the sender in a fixed interval time or event triggered manner, and the specific sending manner includes the following three manners: when a preset time interval occurs, the method is used for synchronously measuring data by a sender and a receiver; when the data packet loss rate is increased rapidly, the method is used for quickly responding to the channel quality change; when the transmitting side receives the data frame transmitted by the receiving side, C (lambda, delta) is carried in the data frame and transmitted to the receiving side.
The theoretical loss rate of data packets of RQ (o, k) is close to
Figure BDA0001484564850000073
The actual measurement result shows large fluctuation up and down in relation to the source coding probability distribution, so that a heuristic algorithm is adopted to adjust the coding parameters. RQ is shorthand for RaptorQ.
In this embodiment, referring to fig. 4, a coding block is a basic scheduling unit used by a network relay device for transmitting a data frame, and its structural features are represented by three parameters AdaRQ (p, k, o), specifically, the coding block is composed of a data coding block and a modified coding block, and both are composed of a data frame. One data frame is represented as: y (FID, ESI, p, k, o, τ)maxS), one control frame is represented as: c (FID, L, λ). AdaRQ is Adaptive RaptorQ, and Adaptive RQ coding.
The encoding parameter optimizing subunit 132 operates on the transmitting side of the network relay apparatus, receives C (FID, L, λ) through the packet receiving unit 15, further transfers L and λ to start Raptor q parameters or a parameter adjusting step, and generates RaptorQ encodes the structural feature (k, o). On the transmitting side, the transmitting end dynamically adjusts RQ parameters k and o according to the changing conditions of lambda and L, and the known taup(k, o) ═ C · (k + o) log (k + o) + D (training fitting at device initialization), where C and D are constants, and the parameter or parameter adjustment steps are specifically as follows:
(1) when Y (FID, ESI, p, k, o, τ) is receivedmaxS) first data packet, according to τmaxLet us order
Figure BDA0001484564850000082
And
Figure BDA0001484564850000083
for a constant, the parameter k is calculated by equation 1, where
Figure BDA0001484564850000084
Obtaining a parameter approximating or close to k on the right part of the formula according to formula 1;
Figure BDA0001484564850000085
(2) according to the received C (FID, L, lambda) message, counting the throughput value M of the recent data flow as (lambda)12,...,λg) And the packet loss rate value L ═ δ12,...,δg) Establishing
Figure BDA0001484564850000086
And
Figure BDA0001484564850000087
regression model, the transmitting end detects the variation trend of lambda and delta, the mean value hypothesis of the measured values is used to test and verify whether the channel quality is changed or not, and when the current throughput value is changed
Figure BDA0001484564850000088
Or data packet loss rate
Figure BDA0001484564850000089
At the position of
Figure BDA00014845648500000810
And
Figure BDA00014845648500000811
outside the alpha confidence interval, the service quality of the channel is judged to change.
(3) When the channel quality changes, the normal distribution percentile estimation values of statistics M and L are respectively
Figure BDA00014845648500000812
And
Figure BDA00014845648500000813
and calculating the value of a theoretical parameter k according to a formula 1, and simultaneously calculating the theoretical length of the current correction code as othZ k and calculates the current maximum bandwidth BmaxAllowing the size and the rate of the coding block to satisfy
Figure BDA00014845648500000814
When o isthWhen this condition is not satisfied, o is set to
Figure BDA00014845648500000815
Otherwise set o to oth
(4) After the current data frame in the encoding unit 11 is sent, new encoding parameters are set to the encoding unit 11 to transmit the data frame.
The specific application steps update the coding strategy in real time by dynamically adjusting parameters to ensure that the inter-arrival time of the data packet is not more than taumaxWhen the coding rate n/k is higher than the allowable range of the bandwidth, reducing the coding rate ensures that the channel does not suffer from congestion. When the channel fails in an interval mode, the success rate of data packet transmission can be improved by expanding the source code with the length of k into the code with the length of n; when the channel quality becomes good, the coding rate is reduced, the channel resources are released, and channel congestion is avoided.
In this embodiment, the data packet is Internet Protocol v4 orThe data packet of the v6 standard can comprise an original data packet, a data frame and a control frame. A source packet refers to a packet that has not been RaptorQ encoded, and the packet does not contain a data frame or a control frame. A data frame is typically used to transmit a basic transmission unit of coded symbols, each coded block transmitting a single symbol of data, denoted Y. The control frame is used for feeding back the basic transmission unit of the channel transmission quality, and is marked as C. The Flow Identification (FID) is used to distinguish between different data flows. And K is the length of the data coding block. And O is the length of the correction coding block. L is the loss rate of the data frame.
Figure BDA0001484564850000091
Is an estimate of L.
Figure BDA0001484564850000092
Is the maximum value of L. λ is the transmission rate of the data frame.
Figure BDA0001484564850000093
Is an estimate of lambda. Tau ismaxThe maximum delay requirement for a single data frame. S symbol data encoded with RaptorQ. C and D are constants. W0A Lambert W function of 0. k is a radical ofminFor the minimum length of the code, see IETF RFC 6330 standard. Poisson is the Poisson distribution cumulative probability distribution function.
Figure BDA0001484564850000094
Is a parameter of x and a confidence interval ofαλIs the inverse function of the poisson cumulative probability distribution. Norm is the cumulative probability distribution function of a normal distribution. B ismaxIs the maximum bandwidth.
Optionally, the RaptorQ coding parameter adjusting unit 13 includes a channel feedback subunit 131 and a coding parameter optimizing subunit 132, where the channel feedback subunit 131 is configured to generate a control frame according to the acquired data frame, where the data frame carries characteristic data obtained based on characteristics of a power service flow condition, a channel quality condition, and a coding error condition, and the control frame is configured to feed back the characteristic data under a predetermined condition.
Optionally, the predetermined condition includes performing feedback processing on the characteristic data at a predetermined time interval and optimizing the encoding parameter based on the feedback processing.
Optionally, the predetermined condition includes that a packet loss rate is greater than or equal to a preset value, and when the packet loss rate is greater than or equal to the preset value, the characteristic data is subjected to feedback processing and the encoding parameter is optimized based on the feedback processing.
Optionally, the coding parameters include a symbol size within a RaptorQ message block and a length of a redundancy code.
Referring to fig. 6, the embodiment of the power wireless industrial control network of the present invention includes: a grid master station 21. A wireless communication system 22. And the power terminal 23, the power grid master station 21 and the power terminal 23 communicate through the wireless communication system 22. And the first network relay device 24 is coupled with the power grid master station 21 through a first master station side physical network interface. And is coupled to the wireless communication system 22 via the first radio network-side physical network interface 17. The second network relay device 25 is coupled to the power terminal 23 via the second master station-side physical network interface, and is coupled to the wireless communication system 22 via the second wireless network-side physical network interface 17. Wherein, the first network relay device 24 and the second network relay device 25 are explained with reference to the above embodiments of the network relay device of the present invention.
In this embodiment, the wireless communication system 22 includes a 2G-4.5G wireless core network 221, a 2G-4.5G wireless base station 222, and a 2G-4.5G power wireless communication front end 223, wherein the 2G-4.5G wireless base station 222 is communicatively connected to the first wireless network side physical network interface 17 through the 2G-4.5G wireless core network 221, and the 2G-4.5G wireless base station 22 is communicatively connected to the 2G-4.5G power wireless communication front end 223 through a wireless channel.
Referring to fig. 6, for example, in an electric wireless industrial control network, at least two network relay devices are provided, and at the same time, when data and instructions are transmitted by using the network relay devices (24, 25) on both sides of the grid master station 21 and the electric terminal 13, the channel quality status of the wireless communication network 22, the coding error rates of the network relay devices (24, 25) themselves, and the status of the electric service flows of the grid master station 21 and the electric terminal 23 can be monitored from the whole flow direction of the data packet flows, and in case of channel abnormality and the like, the coding parameter optimization subunit 132 of the network relay devices (24, 25) can effectively adjust coding parameters, adapt to the channel quality change in real time, correct errors in time, reduce transmission delay, improve transmission success rate, improve anti-interference capability of the grid wireless services, and the like, Transmission performance and safety and reliability.
In this embodiment, the grid master refers to a power system master using a wireless communication method, such as a distribution network and a power grid. The power terminal refers to terminal devices such as DTUs, FTUs and ammeter concentrators in a power distribution network, and the 2G-4.5G power wireless communication front end refers to communication front end devices or modules used for being connected to a wireless communication network in the power distribution network and a power utilization network.
In summary, the embodiment of the present invention obtains at least the quality status of the channel, and analyzes the quality status of the channel by calculating, for example, by using the characteristics of the channel quality status calculated by the computer platform, to obtain the characteristic data, so as to reflect the quality of the channel, for example, whether congestion occurs. The characteristic data can be transmitted to the network relay device along with the data packet, the network relay device carries out a series of processing, such as decoding, on the data in the data packet, the characteristic data is internally fed back to a corresponding processing unit under the condition of meeting the preset condition, the coding parameters are optimized, the coding parameters are adjusted according to the optimization result, and adjustment parameters matched with the capacity and the quality of the channel are generated, so that the anti-interference capability of the channel is enhanced. The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are also included in the scope of the present invention.

Claims (9)

1. A RaptorQ coding parameter dynamic adjustment method for power wireless service is characterized by comprising the following steps:
at a data receiving side, measuring the data packet loss rate and the data flow throughput of a network Protocol layer channel, wherein the network Protocol layer is an Internet Protocol layer, which is called an IP layer for short;
acquiring the quality condition of an IP layer channel, and analyzing the characteristics of the quality condition of the IP layer channel to obtain characteristic data;
under a preset condition, the data receiving side carries out feedback processing on the characteristic data of the quality condition of the IP layer and sends the processed characteristic data to the data sending side;
at a data sending side, inputting the measured IP layer data packet loss rate and the measured data stream throughput into the RaptorQ coding parameter adjusting step, and optimizing the RaptorQ coding parameter based on the feedback processing;
and the data transmitting side dynamically adjusts the RaptorQ coding parameters according to the IP layer data packet loss rate and the data stream throughput based on the optimized result to generate RaptorQ coding adjustment parameters matched with the capacity and the quality of a channel.
2. The method of claim 1, wherein the step of obtaining at least the quality status of the IP layer channel and analyzing the characteristic of the quality status of the IP layer channel to obtain the characteristic data comprises:
acquiring the power service flow condition, the quality condition of an IP layer channel and the RaptorQ coding error condition, and analyzing the characteristics of the power service flow condition, the quality condition of the IP layer channel and the RaptorQ coding error condition to obtain characteristic data.
3. The method of claim 2, wherein:
the predetermined condition comprises performing feedback processing on the characteristic data at a predetermined time interval and optimizing the RaptorQ coding parameter based on the feedback processing; and/or the presence of a gas in the gas,
the predetermined condition includes that the data packet loss rate of the IP layer channel is greater than or equal to a preset value, when the data packet loss rate is greater than or equal to the preset value, the characteristic data is subjected to feedback processing, and the encoding parameter is optimized based on the feedback processing.
4. The method of claim 3 wherein the RaptorQ encoding parameters include symbol size and length of redundancy code within a RaptorQ message block.
5. The method of claim 1, further comprising the steps of:
acquiring time data, judging whether the time data meets a preset delay range or not, if not, acquiring the condition of at least a power service flow and the quality condition of an IP layer channel, and analyzing the characteristics of at least the power service flow condition and the quality condition of the IP layer channel to obtain characteristic data; wherein the time comprises a Raptor encoding processing time, a transmission time and a forwarding time.
6. A network relay apparatus, comprising:
the coding unit is a basic scheduling unit for transmitting data frames and comprises a data coding block and a correction coding block, wherein the data coding block and the correction coding block are both formed by the data frames, and the coding unit is a decoding unitCoding unitThe structural characteristics of (a) are represented by AdaRQ (p, k, o), wherein k is the length of a data coding block, o is the length of a correction coding block, and AdaRQ represents an adaptive RaptorQ coding block;
the RaptorQ coding parameter adjusting unit comprises a channel feedback subunit and a coding parameter number optimizing subunit, wherein the channel feedback subunit is positioned at a data receiving side, and the coding parameter optimizing subunit is positioned at a data sending side;
the channel feedback subunit is configured to measure a packet loss rate and a data stream throughput of an IP layer channel, and obtain a quality status of the IP layer channel; generating a control frame of the network relay device according to the acquired data frame of the network relay device, wherein the data frame at least carries characteristic data obtained based on the characteristics of the IP layer channel quality condition, and the control frame is used for feeding back the characteristic data under a preset condition;
the raptorQ coding parameter optimizing subunit is used for optimizing raptorQ coding parameters based on the characteristic data according to the received control frame and sending the optimized result to the coding unit to adjust the raptorQ coding parameters;
and the data packet sending unit is used for generating a first data packet and sending the first data packet to a physical network interface after receiving the RaptorQ coding parameters adjusted by the RaptorQ coding unit, the control frame from the channel feedback subunit and the source data packet from the decoding unit.
And the data packet receiving unit is used for receiving a second data packet from the physical network interface to generate the data frame and the control frame, respectively sending the data frame to the decoding unit and the channel feedback subunit, and sending the control frame to the RaptorQ coding parameter optimization subunit.
7. The network relay device of claim 6, wherein the RaptorQ coding parameter adjusting unit comprises a channel feedback sub-unit and a RaptorQ coding parameter optimizing sub-unit, wherein the channel feedback sub-unit is used for generating a control frame according to the obtained data frame, the data frame carries at least characteristic data obtained based on characteristics of power service flow conditions, IP layer channel quality conditions and RaptorQ coding error conditions, and the control frame is used for feeding back the characteristic data under a predetermined condition.
8. The network relay device of claim 7, wherein:
the predetermined condition comprises performing feedback processing on the characteristic data at a predetermined time interval and optimizing the RaptorQ coding parameter based on the feedback processing; and/or the presence of a gas in the gas,
the predetermined condition includes that a packet loss rate of an IP layer channel is greater than or equal to a preset value, when the packet loss rate is greater than or equal to the preset value, the characteristic data is subjected to feedback processing, and the RaptorQ encoding parameter is optimized based on the feedback processing.
9. The network repeater as recited in claim 8, wherein the RaptorQ encoding parameters include a symbol size and a length of a redundancy code within a RaptorQ message block.
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