CN112291824B - Wireless video low-delay transmission method in 5G network - Google Patents
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Abstract
The invention relates to a low-delay transmission method of a wireless video in a 5G network. The method combines wireless network switching with code rate adjustment of real-time video transmission, acquires 5G signal quality sequences at different acquisition moments through a built-in wireless communication module in the terminal moving process, constructs a linear model of the 5G signal quality sequences, judges the trend of the 5G signal quality sequences along with time by combining the correlation coefficient of the time sequences of the 5G signal quality and the slope of the linear model of the 5G signal quality sequences to predict network switching points, starts coding parameter switching judgment of a wireless video terminal before network links are not switched, predicts the possible change of a channel in advance to adjust video coding code rate, adjusts the data volume of video data transmission, prepares before network signal switching, achieves stable switching, solves the problems of video blocking and high delay under the condition of ensuring high video definition as much as possible, and improves the video data transmission performance.
Description
Technical Field
The invention belongs to the technical field of 5G video transmission, and particularly relates to a low-delay wireless video transmission method in a 5G network.
Background
The development of communication technology has promoted the rise of wireless video monitoring technology, the progress of 4G and 5G network technology has also made streaming media technology become more and more important, people have made higher requirements on video data transmission, especially the emergence of 5G network, which provides possibility for high-rate communication, but there are two networking schemes at present, NSA (non-independent networking) and SA (independent networking), which are obviously different. Under NSA networking, the 5G base station utilizes the existing 4G core network, the construction of the 5G core network is omitted, the early-stage laying speed is high, the cost is low, the SA needs to build an independent base station, the time cost needed for realizing large-scale coverage is high, and therefore the NSA networking is a networking mode selected by most operators at the initial stage of 5G network construction at present. The NSA is a networking mode of fusion of a 4G network and a 5G network, the NSA does not need to build a 5G new core network, and the NSA needs to use a 4G wireless air interface (NSA wireless anchor point is at 4G), but the existing 4G core network architecture and the 4G air interface can not meet the requirements of 5G on time delay and transmission reliability, the 5GNR application frequency range is higher, the coverage range is smaller, and the density of the existing 4G network can not meet the 5G coverage. Therefore, when the wireless vehicle-mounted video terminal is switched between the main node 4G base stations in the moving process under the existing 5G NSA networking network environment, because the adjacent 5G cells belonging to different 4G main nodes cannot be directly switched, the 5G NR resource at the side of the source 4G base station needs to be released firstly, then the switching between the source 4G base station and the target 4G base station is executed, and the 5G NR resource is added to the target 4G base station after the switching is finished, so that the process takes longer time, network switching is frequently carried out, switching delay is caused, the network bandwidth is greatly changed to cause high-delay and other effects on real-time video transmission, and the effects caused by network vertical switching cannot be eliminated by singly depending on the optimization of video streams and a data transmission scheme. The invention provides a network switching method under the environment of a 5G NSA networking network by combining the characteristics of wireless network switching and real-time video output to realize stable switching of real-time video transmission code rate of a video terminal in the moving process, reduce code rate fluctuation and solve the problem of high video blocking delay.
In addition, the prior art provides a low-delay high-reliability video transmission method for a 5G network. At present, most methods only encode video data in a single way and adjust the data transmission reliability of channel data, and the method can only reduce the blocking control delay by performing smoothing treatment after the channel transmission changes, and can not predict possible channel changes, and once the transmission rate of a network vertical switching channel is changed greatly, the blocking problem can not be solved.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method improves the problems of instable real-time video transmission and high delay caused by frequent network switching of a high-definition video real-time monitoring terminal in the moving process under the current 5G NSA networking environment. The method combines wireless network switching with code rate adjustment of real-time video transmission, predicts a network switching point according to the link quality of the current service network in the terminal moving process, adjusts the video data transmission data volume before the network link is not switched, achieves stable switching, solves the problems of video blockage and high time delay under the condition of ensuring high video definition as much as possible, and improves the video data transmission performance.
A low-delay transmission method of wireless video under a 5G network is characterized by comprising the following steps:
step 1: starting up the initialized video coding parameters of the wireless video terminal to be low quality, connecting the wireless video terminal with a wireless network, and starting to transmit video data;
and 2, step: the wireless video terminal collects the moving speed at different collection moments through a built-in positioning module and collects the quality of 5G signals at different collection moments through a built-in wireless communication module;
and step 3: the wireless video terminal compares the quality of the 5G signals at different acquisition moments with a trigger network switching threshold value in sequence, and sets video coding parameters to be a low-quality minimum value if the quality of the 5G signals at the acquisition moments is smaller than the trigger network switching threshold value; if the 5G signal quality at the acquisition moment is greater than the threshold value for triggering network switching, further combining distance threshold value judgment, and if the moving distance of the wireless video terminal is greater than the distance threshold value, further combining signal quality sequence intervals to construct a plurality of 5G signal quality sequences;
and 4, step 4: calculating a correlation coefficient of the time sequence of the 5G signal quality, and further judging whether the fitting is successful or not by combining a correlation coefficient threshold;
step 6: if the fitting is successful, constructing a linear model of the 5G signal quality sequence, and judging the trend of the 5G signal quality sequence along with the time change by combining the correlation coefficient of the time sequence of the 5G signal quality and the slope of the linear model of the 5G signal quality sequence;
and 7: judging whether the two continuous 5G signal quality sequences are successfully fitted according to the correlation coefficient of the time sequences of the two continuous 5G signal qualities, and judging the trend of the two continuous 5G signal quality sequences changing along with the time according to the slope of the linear models of the two continuous 5G signal quality sequences if the two continuous 5G signal quality sequences are successfully fitted; when the slopes of the linear models of the two continuous 5G signal quality sequences are smaller than a slope judgment threshold value and the minimum signal quality value of the two continuous 5G signal quality sequences is smaller than a signal quality threshold value, starting coding parameter switching judgment of the wireless video terminal and setting the video coding parameters of the wireless video terminal to be the minimum low quality value;
preferably, in step 2, the moving speed at different times is:
V 1 ,V 2 ,...,V N
wherein, V t Represents the moving speed of the t-th acquisition time, t belongs to [1, N ]]N is the number of acquisition moments;
and 2, the quality of the 5G signals at different moments is as follows:
Q 1 ,Q 2 ,...,Q N
wherein Q is t Represents the 5G signal quality at the t-th acquisition time, t ∈ [1, N]N is the number of acquisition moments;
preferably, the threshold value for triggering network handover in step 3 is QRSS _ T;
step 3, if the moving distance of the wireless video terminal is greater than the distance threshold value, the step is as follows:
S m ＞K
wherein S is m The moving distance of the wireless video terminal at the mth acquisition moment, namely the moment when the 5G signal quality at the acquisition moment is greater than the threshold value for triggering network switching, K is a distance threshold value, V t Representing the moving speed of the t-th acquisition moment;
step 3, the signal quality sequence interval is L;
step 3, constructing a plurality of 5G signal quality sequences as follows:
A＝mod[m/L]
B＝m％L
wherein mod [ m/L ] represents an integer part taking m/L, and m% represents a remainder part taking m/L;
the ith 5G signal quality sequence is:
QL i ＝{Q i,1 ,Q i,2 ,...,Q i,j }
i∈[1,A]
wherein Q is i,j Represents the jth 5G signal quality in the ith 5G signal quality sequence, j is E [1, L ]]；
The A +1 th 5G signal quality sequence is as follows:
QL A+1 ＝{Q A+1,1 ,Q A+1,2 ,...,Q A+1,B }
wherein Q is A+1,w Represents the w-th 5G signal quality in the A + 1-th 5G signal quality sequence, w is [1, B ]]；
QL 1 ,QL 2 ,,...,QL A+1 The A +1 5G signal quality sequences in the step 3;
preferably, the step 4 of calculating the correlation coefficient of the time series of 5G signal quality is:
wherein Q i,j Represents the jth 5G signal quality in the ith 5G signal quality sequence, j ∈ [1, L ]]L is the signal quality sequence interval in the step 3, and T is the time point of the acquisition time of acquiring 5G signal quality;
the time series corresponding to the ith 5G signal quality series is as follows:
TL i ＝{T i,1 ,T i,2 ,...,T i,j }
i∈[1,A]
wherein, T i,j Represents the time point of the jth 5G signal quality acquisition time in the ith 5G signal quality sequence, j is equal to [1, L ]]；
r i a correlation coefficient indicating a time series corresponding to the ith 5G signal quality series and the ith 5G signal quality series;
according to the correlation coefficient r i Solving whether the sequence is successfully fitted;
when | r i |<c is then TL i 、QL i The larger the divergence is, the smaller the data correlation is, and the fitting is considered unsuccessful and is a correlation coefficient threshold;
when | r i |>c is then TL i 、QL i The fit was considered successful;
|r i the relation between the value of | and the degree of correlation
And 5: if the fitting is unsuccessful, adjusting the code rate of the video coding according to the mean value of the 5G signal quality sequence;
preferably, step 5 adjusts the video coding rate according to the mean value of the 5G signal quality sequence, and the formula is as follows:
BitRate i ＝(μ Q /((QRSS_MAX)-(QRSS_T)))*(BitRate_MAX-BitRate_MIN)+BitRate_MIN；
wherein, bitrate i Adjusting the current video bitrate, mu, for the ith 5G signal quality sequence Q The mean value of the ith 5G signal quality sequence is defined, QRSS _ MAX is the maximum value of network signal quality, QRSS _ T is the threshold value of network switching signal quality, bitRate _ MIN is the minimum value of code rate, and BitRate _ MAX is the maximum value of code rate;
preferably, the step 6 of constructing a linear model of the 5G signal quality sequence is:
TL i ＝k i QL i +b i
wherein k is i Slope of the linear model for the ith 5G signal quality sequence, b i For the axis intercept of the ith 5G signal quality sequence, A i First coefficient of linear model of i 5G signal quality sequence, B i Second coefficient, C, of a linear model of the ith 5G signal quality sequence i Third coefficient of linear model of i-th 5G signal quality sequence, D i A fourth coefficient of a linear model for the ith 5G signal quality sequence;
step 4, the ith 5G signal quality sequence is as follows:
QL i ＝{Q i,1 ,Q i,2 ,...,Q i,j }
wherein T is the time point of the acquisition time for acquiring the 5G signal quality,ith 5G signal quality sequence QL i The corresponding time T sequence is:
TL i ＝{T i,1 ,T i,2 ,...,T i,j }
i∈[1,A]
wherein A is the number of 5G signal quality sequences, T i,j Represents the time point of the jth 5G signal quality acquisition time in the ith 5G signal quality sequence, j is equal to [1, L ]]；
And 6, judging the time variation trend of the 5G signal quality sequence:
when r i |>c and r i <At 0 time, k i If < 0, it indicates that the data is negatively correlated, i.e. when T is i,j At increasing time Q i,j Decreasing, as a correlation coefficient threshold;
when r i |>c and r i >At 0 time, k i When the ratio is more than 0, the data are in positive correlation, namely when T is greater than 0 i,j When Q is increased i,j Increasing;
preferably, the step 7 of judging whether the two consecutive 5G signal quality sequences are successfully fitted according to the correlation coefficient of the two consecutive 5G signal quality time sequences is:
the two continuous 5G signal quality sequences are as follows: QL i ，QL i+1 ；
The correlation coefficients corresponding to the two consecutive 5G signal quality sequences are: r is a radical of hydrogen i ，r i+1 ；
|r i |>c and | r i+1 |>c two consecutive 5G signal quality sequences QL i ，QL i+1 The fitting is successful and is a correlation coefficient threshold value;
i belongs to [1, A ], A is the number of 5G signal quality sequences;
and 7, judging the change trend of the two continuous 5G signal quality sequences along with the time by the slope of the linear model of the two continuous 5G signal quality sequences as follows:
the corresponding slopes of the two consecutive 5G signal quality sequences are: k is a radical of formula i ，k i+1 ；
k i <K _ T and K i+1 <K _ T, two consecutive pairs of 5G signal quality sequencesThe corresponding slopes are all smaller than a slope judgment threshold, wherein K _ T is the slope judgment threshold;
step 7, Q _ MIN is the minimum value of the signal quality of the two continuous 5G signal quality sequences i ,Q_MIN i+1 ；
Q _ MIN, the minimum value of the signal quality of the ith 5G signal quality sequence i The specific calculation method is in QL i Searching for the minimum value;
q _ MIN, which is the minimum value of signal qualities of the (i + 1) th 5G signal quality series i+1 The specific calculation method is in QL i+1 Searching for the minimum value;
Q_MIN i <QRSS _ C and Q _ MIN i+1 <QRSS_C
QRSS_C＝(QRSS_MAX-QRSS_T)*0.5+QRSS_T；
Wherein, QRSS _ C is a signal quality threshold, QRSS _ MAX is a maximum network signal quality, and QRSS _ T is a network handover signal quality threshold.
The invention has the advantages that the video coding code rate is adjusted by predicting the possible change of the channel in advance through sampling of the wireless network signal quality, preparation is made before network signal switching, stable switching is realized, and the problems of video blockage and high time delay are solved.
Drawings
FIG. 1: is a schematic diagram of NSA networking.
FIG. 2: is a schematic diagram of terminal network connection under NSA networking.
FIG. 3: is a schematic flow chart of the method.
Detailed Description
under 5G NSA networking, the 5G NR control plane is anchored to 4G and follows the 4G core network EPC, and this architecture is called EN-DC, namely EUTRA-NR dual connectivity architecture.
As shown in fig. 1, in an NSA networking, a 4G base station (eNB) is a Master Node (Master Node), and a 5G base station (gNB) is a Secondary Node (Secondary Node).
As shown in fig. 2, in the user plane, that is, when data traffic is transmitted, both the 4G base station and the 5G base station are directly connected to a network element S-GW of the 4G core network; however, in the control plane, that is, when signaling interaction is performed to transmit data, only the 4G base station is directly connected to the 4G core network element MME. When the terminal wants to transmit high-speed data through the 5G base station, the terminal needs to be connected with the 4G base station for signaling interaction, and the terminal can enjoy the 5G high-speed network only after the 4G base station allocates 5G wireless resources.
Under the NSA networking, that is, EN-DC dual connectivity, a terminal firstly registers in a 4G network, and then reports measured 5G signal strength and quality, etc., for example, when the terminal moves to a coverage area of a 5G cell, it is detected that the 5G signal strength and quality are sufficient to support a 5G service, and then the 4G base station communicates with the 5G base station to allocate 5G resources to a mobile phone. Next, the 4G base station notifies the mobile phone of the resources allocated by the 5G NR through an RRC Connection Reconfiguration (RRC Connection Reconfiguration) message, and after the RRC Connection Reconfiguration process is completed, the mobile phone is connected to the 4G and 5G networks at the same time. The EN-DC dual connection significantly increases the complexity of the signaling flow, and the NR RRC Reconfiguration message that could be directly sent to the terminal needs to be encapsulated and forwarded through 4G multiple times.
When the user moves and the switching between the main node 4G base stations occurs, because the direct switching between the 5G adjacent cells belonging to different 4G main nodes can not be carried out, the 5G NR resource at the side of the source 4G base station needs to be released firstly, then the switching between the source 4G base station and the target 4G base station is carried out, and the 5G NR resource is added to the target 4G base station after the switching is finished, just this kind of double connection architecture greatly increases the complexity of the wireless access network signaling, which causes the switching time delay of the 4G LTE and the 5G NR to be overlarge. The video transmission of the wireless video terminal in the moving process is necessarily influenced by network switching, and the problems of video blockage and high time delay occur.
The following description of the embodiments of the present invention with reference to fig. 1 to 3 is made:
step 1: the method comprises the steps that a wireless video terminal is started to initialize video coding parameters to be low quality, namely a video resolution ratio 1080P code rate 1000kbps is used, a wireless network is registered, and under the EN-DC dual connection of an NSA (non-subsampled network) networking, the terminal firstly registers a 4G LTE (long term evolution) network and starts to transmit video data.
Step 2: the wireless video terminal acquires the moving speed at different acquisition moments through the built-in positioning module and acquires the quality of 5G signals at different acquisition moments through the built-in wireless communication module;
step 2, the moving speed at different moments is as follows:
V 1 ,V 2 ,...,V N
wherein, V t Represents the speed of movement at the t-th acquisition instant, t ∈ [1, N]N is the number of acquisition moments, N =15;
and 2, the quality of the 5G signals at different moments is as follows:
Q 1 ,Q 2 ,...,Q N
wherein Q is t Represents the 5G signal quality at the t-th acquisition time, t ∈ [1, N]N is the number of acquisition moments, N =15;
and 3, step 3: the wireless video terminal compares the quality of the 5G signals at different acquisition moments with a trigger network switching threshold value in sequence, and sets video coding parameters to be a low-quality minimum value if the quality of the 5G signals at the acquisition moments is smaller than the trigger network switching threshold value; if the 5G signal quality at the acquisition moment is greater than the threshold value for triggering network switching, further combining distance threshold value judgment, and if the moving distance of the wireless video terminal is greater than the distance threshold value, further combining signal quality sequence intervals to construct a plurality of 5G signal quality sequences;
step 3, the threshold value for triggering network switching is QRSS _ T, and QRSS _ T =20;
step 3, if the moving distance of the wireless video terminal is greater than the distance threshold value:
S m ＞K
wherein S is m The moving distance of the wireless video terminal at the mth acquisition moment, namely the moment when the 5G signal quality at the acquisition moment is greater than the threshold value for triggering network switching, K =100 m is a distance threshold value, and V t Representing the moving speed of the t-th acquisition moment;
the signal quality sequence interval in the step 3 is L, L < =15;
step 3, constructing a plurality of 5G signal quality sequences as follows:
A＝mod[m/L]
B＝m％L
wherein mod [ m/L ] represents an integer part taking m/L, and m% represents a remainder part taking m/L;
the ith 5G signal quality sequence is:
QL i ＝{Q i,1 ,Q i,2 ,...,Q i,j }
i∈[1,A]
wherein Q is i,j Represents the jth 5G signal quality in the ith 5G signal quality sequence, j is E [1, L ]],L<＝15；
The A +1 th 5G signal quality sequence is as follows:
QL A+1 ＝{Q A+1,1 ,Q A+1,2 ,...,Q A+1,B }
wherein Q is A+1,w Represents the w-th 5G signal quality in the A + 1-th 5G signal quality sequence, w is [1, B ]],B<＝15；
QL 1 ,QL 2 ,,...,QL A+1 The A +1 5G signal quality sequences in the step 3;
and 4, step 4: calculating a correlation coefficient of the time sequence of the 5G signal quality, and further judging whether the fitting is successful or not by combining a correlation coefficient threshold;
and 4, calculating the correlation coefficient of the time series of the 5G signal quality as follows:
wherein Q is i,j Represents the jth 5G signal quality in the ith 5G signal quality sequence, j is E [1, L ]]L is the signal quality sequence interval in the step 3, and T is the time point of the acquisition time for acquiring the 5G signal quality;
the time series corresponding to the ith 5G signal quality series is as follows:
TL i ＝{T i,1 ,T i,2 ,...,T i,j }
i∈[1,A]
wherein, T i,j Represents the time point of the jth 5G signal quality acquisition time in the ith 5G signal quality sequence, j is equal to [1, L ]]；
r i a correlation coefficient indicating a time series corresponding to the ith 5G signal quality series and the ith 5G signal quality series;
according to the correlation coefficient r i Solving whether the sequence is successfully fitted;
when r i |<c is then TL i 、QL i The larger the divergence is, the smaller the data correlation is, the fitting is considered unsuccessful, and c =0.4 is a correlation coefficient threshold;
when r i |>c is then TL i 、QL i The fit was considered successful;
|r i the relationship between the value and the degree of correlation of | is shown in table 1:
table 1: relational table of degree of correlation
| |r i Value range of | | |r i Significance of | |
| 0.00-0.19 | Extremely low correlation |
| 0.20-0.39 | Low degree of correlation |
| 0.40-0.69 | Moderate correlation |
| 0.70-0.89 | Correlation of altitude |
| 0.90-1.00 | Extremely high correlation |
And 5: if the fitting is unsuccessful, adjusting the code rate of the video coding according to the mean value of the 5G signal quality sequence;
and adjusting the code rate of video coding according to the mean value of the 5G signal quality sequence, wherein the formula is as follows:
BitRate i ＝(μ Q /((QRSS_MAX)-(QRSS_T)))*(BitRate_MAX-BitRate_MIN)+BitRate_MIN；
wherein, bitrate i Adjusting the current video bitrate, mu, for the ith 5G signal quality sequence Q Taking the mean value of the ith 5G signal quality sequence, setting QRSS _ MAX =99 as the maximum value of the network signal quality, setting QRSS _ T =20 as the threshold value of the network switching signal quality, setting BitRATE _ MIN as the minimum value of the code rate, and setting BitRATE _ MAX as the maximum value of the code rate;
BitRate_MIN＝1000kbps，BitRate_MAX＝6000kbps；
and 6: if the fitting is successful, constructing a linear model of the 5G signal quality sequence, and judging the trend of the 5G signal quality sequence along with the time change by combining the correlation coefficient of the time sequence of the 5G signal quality and the slope of the linear model of the 5G signal quality sequence;
and 6, constructing a linear model of the 5G signal quality sequence as follows:
TL i ＝k i QL i +b i
wherein k is i Slope of a linear model for the ith 5G signal quality sequence, b i Is the axis intercept of the ith 5G signal quality sequence, A i First coefficient of linear model of i 5G signal quality sequence, B i Second coefficient of linear model of i-th 5G signal quality sequence, C i Third coefficient of linear model of i-th 5G signal quality sequence, D i A fourth coefficient of a linear model for the ith 5G signal quality sequence;
step 4, the ith 5G signal quality sequence is as follows:
QL i ＝{Q i,1 ,Q i,2 ,...,Q i,j }
wherein T is the time point of the acquisition time of acquiring the 5G signal quality, and the ith 5G signal quality sequence QL i The corresponding time T sequence is:
TL i ＝{T i,1 ,T i,2 ,...,T i,j }
i∈[1,A]
wherein A is the number of 5G signal quality sequences, T i,j Represents the time point of the jth 5G signal quality acquisition time in the ith 5G signal quality sequence, j is equal to [1, L ]]；
And 6, judging the time variation trend of the 5G signal quality sequence:
when r i |>c and r i <At 0, k i If < 0, it indicates that the data is negatively correlated, i.e. when T is i,j When Q is increased i,j Decrease, c =0.4 is the correlation coefficient threshold;
when r i |>c and r i >At 0, k i When the ratio is more than 0, the data are positively correlated, namely when T is i,j When Q is increased i,j Increasing;
and 7: judging whether the two continuous 5G signal quality sequences are successfully fitted according to the correlation coefficient of the time sequences of the two continuous 5G signal qualities, and judging the trend of the two continuous 5G signal quality sequences changing along with the time according to the slope of the linear models of the two continuous 5G signal quality sequences if the two continuous 5G signal quality sequences are successfully fitted; when the slopes of the linear models of the two continuous 5G signal quality sequences are both smaller than a slope judgment threshold, and the minimum value of the signal quality of the two continuous 5G signal quality sequences is smaller than the signal quality threshold, starting the switching judgment of the encoding parameters of the wireless video terminal, and setting the video encoding parameters of the wireless video terminal to be the minimum value of low quality;
and 7, judging whether the two continuous 5G signal quality sequences are successfully fitted according to the correlation coefficients of the two continuous 5G signal quality time sequences:
the two continuous 5G signal quality sequences are as follows: QL i ，QL i+1 ；
The correlation coefficients corresponding to the two consecutive 5G signal quality sequences are: r is i ，r i+1 ；
|r i |>c and | r i+1 |>c two consecutive 5G signal quality sequences QL i ，QL i+1 The fitting was successful, c =0.4 is the correlation coefficient threshold;
i belongs to [1, A ], A is the number of 5G signal quality sequences;
and 7, judging the trend of the two continuous 5G signal quality sequences along with the change of time by the slope of the linear models of the two continuous 5G signal quality sequences as follows:
the two consecutive 5G signal quality sequencesThe slope for a column corresponds to: k is a radical of i ，k i+1 ；
k i <K _ T and K i+1 <K _ T, wherein the slopes corresponding to two continuous 5G signal quality sequences are smaller than a slope judgment threshold, and K _ T = -tan10 is the slope judgment threshold;
step 7, Q _ MIN is the minimum value of the signal quality of the two continuous 5G signal quality sequences i ,Q_MIN i+1 ；
Q _ MIN, the minimum value of the signal quality of the ith 5G signal quality sequence i The specific calculation method is in QL i Searching for the minimum value;
q _ MIN, which is the minimum value of signal qualities of the (i + 1) th 5G signal quality series i+1 The specific calculation method is in QL i+1 Searching for the minimum value;
Q_MIN i <QRSS _ C and Q _ MIN i+1 <QRSS_C
QRSS_C＝(QRSS_MAX-QRSS_T)*0.5+QRSS_T；
Wherein, QRSS _ C is a signal quality threshold, QRSS _ MAX =99 is a maximum network signal quality value, and QRSS _ T =20 is a network handover signal quality threshold.
It should be understood that parts of the specification not set forth in detail are well within the prior art.
It should be understood that the above description of the preferred embodiments is illustrative, and not restrictive, and that various changes and modifications may be made therein by those skilled in the art without departing from the scope of the invention as defined in the appended claims.
Claims (7)
1. A low-delay transmission method of wireless video under a 5G network is characterized in that:
step 1: starting up the initialized video coding parameters of the wireless video terminal to be low quality, connecting the wireless video terminal with a wireless network, and starting to transmit video data;
step 2: the wireless video terminal acquires the moving speed at different acquisition moments through the built-in positioning module and acquires the quality of 5G signals at different acquisition moments through the built-in wireless communication module;
and step 3: the wireless video terminal compares the quality of the 5G signals at different acquisition moments with a trigger network switching threshold value in sequence, and sets video coding parameters to be a low-quality minimum value if the quality of the 5G signals at the acquisition moments is smaller than the trigger network switching threshold value; if the 5G signal quality at the acquisition moment is greater than the threshold value for triggering network switching, further combining distance threshold value judgment, and if the moving distance of the wireless video terminal is greater than the distance threshold value, further combining signal quality sequence intervals to construct a plurality of 5G signal quality sequences;
and 4, step 4: calculating a correlation coefficient of the time sequence of the 5G signal quality, and further judging whether the fitting is successful or not by combining a correlation coefficient threshold;
and 5: if the fitting is unsuccessful, adjusting the code rate of the video coding according to the mean value of the 5G signal quality sequence;
step 6: if the fitting is successful, constructing a linear model of the 5G signal quality sequence, and judging the trend of the 5G signal quality sequence along with the time change by combining the correlation coefficient of the time sequence of the 5G signal quality and the slope of the linear model of the 5G signal quality sequence;
and 7: judging whether the two continuous 5G signal quality sequences are successfully fitted according to the correlation coefficient of the time sequences of the two continuous 5G signal qualities, and judging the trend of the two continuous 5G signal quality sequences changing along with the time according to the slope of the linear models of the two continuous 5G signal quality sequences if the two continuous 5G signal quality sequences are successfully fitted; and when the slopes of the linear models of the two continuous 5G signal quality sequences are both smaller than the slope judgment threshold, and the minimum value of the signal quality of the two continuous 5G signal quality sequences is smaller than the signal quality threshold, starting the switching judgment of the encoding parameters of the wireless video terminal, and setting the video encoding parameters of the wireless video terminal to be the minimum value of low quality.
2. The method for wireless video low-latency transmission under a 5G network according to claim 1, wherein:
and 2, the moving speeds at different moments are as follows:
V 1 ,V 2 ,...,V N
wherein, V t Represents the speed of movement at the t-th acquisition instant, t ∈ [1, N]N is the number of acquisition moments;
and 2, the quality of the 5G signals at different moments is as follows:
Q 1 ,Q 2 ,...,Q N
wherein Q t Represents the 5G signal quality at the tth acquisition time, t ∈ [1, N]And N is the number of acquisition moments.
3. The method for wireless video low-latency transmission under a 5G network according to claim 1, wherein:
step 3, the threshold value for triggering network switching is QRSS _ T;
step 3, if the moving distance of the wireless video terminal is greater than the distance threshold value, the step is as follows:
S m ＞K
wherein S is m The moving distance of the wireless video terminal at the mth acquisition moment, namely the moment when the 5G signal quality at the acquisition moment is greater than the threshold value for triggering network switching, K is a distance threshold value, and V is t Representing the moving speed of the t-th acquisition moment;
step 3, the signal quality sequence interval is L;
step 3, constructing a plurality of 5G signal quality sequences as follows:
A＝mod[m/L]
B＝m％L
wherein mod [ m/L ] represents an integer part taking m/L, and m% represents a remainder part taking m/L;
the ith 5G signal quality sequence is:
QL i ＝{Q i,1 ,Q i,2 ,...,Q i,j }
i∈[1,A]
wherein Q is i,j Represents the jth 5G signal quality in the ith 5G signal quality sequence, j ∈ [1, L ]]；
The A +1 th 5G signal quality sequence is as follows:
QL A+1 ＝{Q A+1,1 ,Q A+1,2 ,...,Q A+1,B }
wherein Q A+1,w Represents the w-th 5G signal quality in the A + 1-th 5G signal quality sequence, w is [1, B ]]；
QL 1 ,QL 2 ,,...,QL A+1 The a +1 5G signal quality sequences described in step 3.
4. The method for wireless video low-latency transmission under a 5G network according to claim 1, wherein:
and 4, calculating the correlation coefficient of the time series of the 5G signal quality as follows:
wherein Q is i,j Represents the jth 5G signal quality in the ith 5G signal quality sequence, j is E [1, L ]]L is the signal quality sequence interval in the step 3, and T is the time point of the acquisition time for acquiring the 5G signal quality;
the time series corresponding to the ith 5G signal quality series is as follows:
TL i ＝{T i,1 ,T i,2 ,...,T i,j }
i∈[1,A]
wherein, T i,j Represents the time point of the jth 5G signal quality acquisition time in the ith 5G signal quality sequence, wherein j belongs to [1, L ]]；
r i a correlation coefficient indicating a time series corresponding to the ith 5G signal quality series and the ith 5G signal quality series;
according to the correlation coefficient r i Solving whether the sequence is successfully fitted;
when r i |<c is then TL i 、QL i The larger the divergence is, the smaller the data correlation is, the fitting is considered unsuccessful, and c is a correlation coefficient threshold;
when r i |>c is then TL i 、QL i The fit was considered successful;
|r i the relationship between the value of |, and the degree of correlation is as follows:
|r i |∈[0.00,0.19]an extremely low degree of correlation is indicated;
|r i |∈[0.20,0.39]then a low degree of correlation is indicated;
|r i |∈[0.40,0.69]then a moderate degree of correlation is indicated;
|r i |∈[0.70,0.89]then, the correlation degree of the height is represented;
|r i |∈[0.90,1.00]then a very high degree of correlation is indicated.
5. The method for wireless video low-latency transmission under a 5G network according to claim 1, wherein:
step 5, adjusting the code rate of video coding according to the mean value of the 5G signal quality sequence, wherein the formula is as follows:
BitRate i ＝
(μ Q /((QRSS_MAX)-(QRSS_T)))*(BitRate_MAX-BitRate_MIN)+BitRate_MIN；
wherein, bitrate i Adjusting the current video bitrate, mu, for the ith 5G signal quality sequence Q The mean value of the ith 5G signal quality sequence is shown, QRSS _ MAX is the maximum value of network signal quality, QRSS _ T is the threshold value of network switching signal quality, bitRate _ MIN is the minimum value of code rate, and BitRate _ MAX is the maximum value of code rate.
6. The method for wireless video low-latency transmission in a 5G network according to claim 1, wherein:
and 6, constructing a linear model of the 5G signal quality sequence as follows:
TL i ＝k i QL i +b i
wherein k is i Slope of the linear model for the ith 5G signal quality sequence, b i For the axis intercept of the ith 5G signal quality sequence, A i First coefficient of linear model of i-th 5G signal quality sequence, B i Second coefficient of linear model of i-th 5G signal quality sequence, C i Third coefficient of linear model of i-th 5G signal quality sequence, D i A fourth coefficient of a linear model for the ith 5G signal quality sequence;
the ith 5G signal quality sequence in the step 4 is as follows:
QL i ＝{Q i,1 ,Q i,2 ,...,Q i,j }
wherein T is the acquisition of 5G signalsThe ith 5G signal quality sequence QL at the time of quality acquisition i The corresponding time T sequence is:
TL i ＝{T i,1 ,T i,2 ,...,T i,j }
i∈[1,A]
wherein A is the number of 5G signal quality sequences, T i,j Represents the time point of the jth 5G signal quality acquisition time in the ith 5G signal quality sequence, j is equal to [1, L ]]；
And 6, judging the time variation trend of the 5G signal quality sequence:
when r i |>c and r i <At 0 time, k i If < 0, it indicates that the data is negatively correlated, i.e. when T is i,j At increasing time Q i,j Decreasing, c is a correlation coefficient threshold;
when | r i |>c and r i >At 0, k i When the ratio is more than 0, the data are positively correlated, namely when T is i,j At increasing time Q i,j And is increased.
7. The method for wireless video low-latency transmission under a 5G network according to claim 1, wherein:
and 7, judging whether the two continuous 5G signal quality sequences are successfully fitted according to the correlation coefficients of the two continuous 5G signal quality time sequences:
the two continuous 5G signal quality sequences are as follows: QL i ，QL i+1 ；
The correlation coefficients corresponding to the two consecutive 5G signal quality sequences are: r is i ，r i+1 ；
|r i |>c and | r i+1 |>c two consecutive 5G signal quality sequences QL i ，QL i+1 C is a correlation coefficient threshold value;
i belongs to [1, A ], A is the number of 5G signal quality sequences;
and 7, judging the trend of the two continuous 5G signal quality sequences along with the change of time by the slope of the linear models of the two continuous 5G signal quality sequences as follows:
the two consecutive 5G signal quality sequencesThe slope for a column is: k is a radical of formula i ，k i+1 ；
k i <K _ T and K i+1 <K _ T, wherein the slopes corresponding to two continuous 5G signal quality sequences are smaller than a slope judgment threshold, and the K _ T is the slope judgment threshold;
step 7, Q _ MIN is the minimum value of the signal quality of the two continuous 5G signal quality sequences i ,Q_MIN i+1 ；
Q _ MIN, the minimum value of the signal quality of the ith 5G signal quality sequence i The specific calculation method is in QL i Searching for the minimum value;
q _ MIN, which is the minimum value of signal qualities of the (i + 1) th 5G signal quality series i+1 The specific calculation method is in QL i+1 Searching for the minimum value;
Q_MIN i <QRSS _ C and Q _ MIN i+1 <QRSS_C
QRSS_C＝(QRSS_MAX-QRSS_T)*0.5+QRSS_T；
Wherein, QRSS _ C is a signal quality threshold, QRSS _ MAX is a maximum network signal quality, and QRSS _ T is a network handover signal quality threshold.
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