Network resource switching method and system based on wireless fingerprint grid algorithm

Abstract

The invention discloses a network resource switching method and system based on a wireless fingerprint grid algorithm, and the method comprises the steps: collecting the wireless features of a terminal through the random periodic same-frequency measurement of a specified number of terminals in a service cell; performing blank grid division through wireless features of the serving cell and at most N cells of the same-frequency strongest neighbor cells; acquiring wireless feature information of a serving cell and a neighbor cell of different frequencies and different systems acquired by each terminal in a geographic area corresponding to each blank grid; and the service perception of the service cell in each grid is scored, when the service perception score is lower than a target value, the optimal cell is judged, and the network of the user is switched to the neighbor cell network with the highest final score. According to the invention, the optimal cell of each terminal can be obtained, the terminal user network is ensured to be always stable, and the trust and satisfaction of the 5G network are increased, so that the 5G distribution ratio is improved.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a network resource switching method and system. Background Art

[0002] As the complexity of current communication networks increases, 5G network coverage and user perception are the key areas that wireless networks need to focus on. How to balance improving 5G diversion ratio and user perception is currently a hot topic.

[0003] The current traditional 5G diversion ratio improvement scheme is mainly based on manual analysis and judgment, and adopts interoperability strategies such as unified reselection priority and switching parameters, and adjusts the entire network in a "one-size-fits-all" manner, that is, a unified method is used to adjust the entire network. This method may ignore the specific business needs and network usage of different users. The traditional traffic prediction scheme has the following problems: the whole network triggers frequency band migration in a unified manner, which cannot take into account user business perception, resulting in poor user experience and low network resource utilization. This problem will reduce user trust and satisfaction with 5G networks, thereby reducing the 5G diversion ratio. Summary of the invention

[0004] Based on this, in order to solve the above technical problems, a network resource switching method and system based on a wireless fingerprint grid algorithm are provided to solve the problem that the prior art causes users to have a poor network experience.

[0005] In a first aspect, a network resource switching method based on a wireless fingerprint grid algorithm is provided, the method comprising:

[0006] Step S1: By randomly performing periodic co-frequency measurements on target terminals in the target area, wireless characteristic information of the service cell and the neighboring cells with the same frequency as the service cell collected by multiple target terminals respectively is obtained; the geographical area where the service cell obtained by each target terminal and the N neighboring cells with the same frequency as its own service cell and the strongest wireless characteristics are located is divided into an independent blank grid, thereby completing the division of the blank grid of the target area; the wireless characteristics include reference signal received power RSRP and signal to downlink interference plus noise ratio SINR;

[0007] Step S2: obtaining wireless characteristic information of the serving cell and neighboring cells of different frequencies and systems collected by each terminal in the geographical area corresponding to each blank grid;

[0008] Step S3: Score the service perception of the service cell of each terminal in each grid. When the service service perception score of the service cell is lower than the target value, the neighboring area of ​​different frequencies and systems obtained by the terminal is judged to obtain the optimal cell corresponding to each terminal. The judging of the neighboring area of ​​different frequencies and systems obtained by the terminal to obtain the optimal cell corresponding to each terminal includes:

[0009] Step S31: determining the hetero-frequency and hetero-system neighboring area of ​​each terminal, evaluating the hetero-frequency and hetero-system neighboring area of ​​each terminal, calculating the spectrum efficiency and suppression distance of the hetero-frequency and hetero-system neighboring area, and thus calculating the user perception value of each hetero-frequency and hetero-system neighboring area; when evaluating the hetero-frequency and hetero-system neighboring area of ​​each terminal, the wireless characteristic information of the hetero-frequency and hetero-system neighboring area of ​​each terminal should be the wireless characteristic information collected when the current hetero-frequency and hetero-system neighboring area serves as a service cell for other terminals;

[0010] Step S32: Compare the wireless characteristic information of the hetero-frequency and hetero-system neighboring cells of each terminal with the set threshold to select the neighboring cells that meet the set threshold, and then score the neighboring cells that meet the set threshold according to the network frequency band and wireless characteristic information to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell;

[0011] Step S33: Obtain a final score for each neighboring cell according to the user perception value of each neighboring cell and the 4G / 5G-based residence value; the neighboring cell with the highest score is the optimal cell;

[0012] Step S4: Switch the network of each terminal to the network of the optimal cell.

[0013] In the above solution, optionally, the service perception of the serving cell of the terminal is scored in the following manner:

[0014] Obtain playback data when the terminal plays the video, the playback data including video source quality, buffering time, number of freezes, and percentage of freeze recovery time;

[0015] The first service perception score of the serving cell is calculated by the following formula:

[0016] VMOS=f(vQuality, vLoading, vStallingfreq, vStallingrec, W n )

[0017] Among them, VMOS is the video user perception score, vQuality is the video source quality, vLoading is the buffering time, vStallingfreq is the number of freezes, vStallingrec is the percentage of freeze recovery time, and W n is the weight ratio of each factor;

[0018] When the first service perception score of the serving cell reaches the first set value, the neighboring cells of the terminal with different frequencies and systems are evaluated.

[0019] In the above solution, further optionally, the service perception of the serving cell of the terminal is scored in the following manner:

[0020] Obtain the terminal resource load and channel quality, and obtain the overall load of the terminal's serving cell and calculate the upper limit of the achievable rate that the terminal can currently obtain using the following formula:

[0021] R A =α×BW×(1-Load1+Load2)×log2(1+β×SINR(lower));

[0022] Among them, α and β are efficiency factors, which can be obtained by learning and fitting the historical data between the rate and various parameters; BW is the system bandwidth; Load1 is the overall resource load of the serving cell, Load2 is the current terminal resource load, and R A is the achievable rate of the serving cell; SINR (lower) is the downlink signal to interference plus noise ratio;

[0023] Calculate the user's achievable rate in the service cell and the service demand rate R T The rate margin between is calculated by the following formula:

[0024] R GAP =MAX{(R A -R T ) / R A ,0};

[0025] The user's achievable rate in the service cell is equal to the service demand rate R T The rate margin between is the second service perception score;

[0026] When the second service perception score of the serving cell reaches the second set value, the hetero-frequency and hetero-system neighboring cells of the terminal are evaluated.

[0027] In the above solution, optionally, the calculating the spectral efficiency of neighboring cells with different frequencies and systems includes:

[0028] According to the path loss calculated based on the downlink receiving RSRP and the transmit power of the neighboring cells of different frequencies and systems, and combined with the interference information obtained from the interface between base stations, the uplink SINR of the neighboring cells of different frequencies and systems can be calculated, and then the spectrum efficiency is calculated by the uplink SINR of the neighboring cells of different frequencies and systems; the spectrum efficiency is calculated by the uplink SINR of the neighboring cells of different frequencies and systems by the following formula:

[0029] SE=α×log2(1+β×SINR(upper))

[0030] Among them, α and β are efficiency factors, and SINR(up) is the uplink signal to interference plus noise ratio.

[0031] In the above solution, optionally, the calculating the suppression distance of the hetero-frequency and hetero-system neighboring areas includes:

[0032] Obtain the traffic growth suppression point value of the neighboring area and the traffic value of the current state, and calculate the suppression distance of the neighboring area according to the traffic growth suppression point value of the neighboring area and the traffic value of the current state using the following formula:

[0033] D s =P s -P a

[0034] Where: P s is the flow growth suppression point value, P a The flow value of the current state.

[0035] In the above solution, further optionally, the calculating the user perception value of each hetero-frequency and hetero-system neighboring cell includes:

[0036] The normalized spectrum efficiency is calculated based on the neighboring cell spectrum efficiency of different frequencies and systems using the following formula:

[0037] SE scale =SE / SE max ;

[0038] Among them, SE max The maximum spectrum efficiency of the neighboring cells with different frequencies and systems;

[0039] The user perception value is calculated using the following formula based on the achievable rate, spectrum efficiency, and suppression distance of the neighboring cells of different frequencies and systems:

[0040] P = {Max(R A ,0)}β×SE scale θD S Φ

[0041] Among them, β and θ are weighting factors, R A The reachable rate and SE calculated by using the neighboring cell of the current terminal as the service cell of other terminals max is the maximum spectral efficiency, D S is the suppression distance, Φ is D S variables.

[0042] In the above scheme, optionally, the set threshold value is set to SINR≥3 and RSRP≥-110dBm.

[0043] In the above scheme, optionally, scoring the neighboring cells that meet the set threshold according to the frequency range and technology generation of the network to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell includes:

[0044] Obtain the priority score of the neighboring cell according to the frequency band of the neighboring cell;

[0045] The priority score of the neighboring cell and the wireless characteristic information are calculated using the following formula:

[0046]

[0047] Among them, Q is the residence value of the cell, Y is the frequency band priority score of the neighboring cell, and ε is the residence level weight.

[0048] In the above solution, optionally, the final score of each neighboring area obtained according to the user perception value of each neighboring area and the 4G / 5G-based residence value is calculated by the following formula:

[0049] C=γ×P+δ×Q

[0050] =γ{max(R A ,0)}β×γSEscaleθD S Φ+δ×Q

[0051] Among them, γ and δ are weight factors, β and θ are weighting factors, P is the user perception value, and Q is the residence value based on 4G / 5G.

[0052] In a second aspect, a network resource switching system based on a wireless fingerprint grid algorithm, the system comprising:

[0053] Blank grid division module: used to obtain wireless characteristic information of the service cell and the neighboring cells with the same frequency as the service cell respectively collected by multiple target terminals by randomly performing periodic same-frequency measurements on the target terminals in the target area; the geographical area where the service cell obtained by each target terminal and the N neighboring cells with the same frequency as its own service cell and the strongest wireless characteristics are located is divided into an independent blank grid, so as to complete the division of the blank grid of the target area; the wireless characteristics include reference signal received power RSRP and signal to downlink interference plus noise ratio SINR;

[0054] Blank grid data filling module: used to obtain the wireless characteristic information of the service cell and the neighboring cells of different frequencies and systems collected by each terminal in the geographical area corresponding to each blank grid;

[0055] Service business perception scoring module: used to score the service perception of the service cell of each terminal in each grid. When the service business perception score of the service cell is lower than the target value, the neighboring cells of different frequencies and systems obtained by the terminal are judged to obtain the optimal cell corresponding to each terminal;

[0056] The optimal cell judgment module is used for the hetero-frequency and hetero-system neighboring cells of each terminal, evaluates the hetero-frequency and hetero-system neighboring cells of each terminal, calculates the spectrum efficiency and suppression distance of the hetero-frequency and hetero-system neighboring cells, and thus calculates the user perception value of each hetero-frequency and hetero-system neighboring cells; when evaluating the hetero-frequency and hetero-system neighboring cells of each terminal, the wireless feature information of the hetero-frequency and hetero-system neighboring cells of each terminal should be the wireless feature information collected when the current hetero-frequency and hetero-system neighboring cells serve as the service cells of other terminals, compares the wireless feature information of the hetero-frequency and hetero-system neighboring cells of each terminal with the set threshold to select the neighboring cells that meet the set threshold, and then scores the neighboring cells that meet the set threshold according to the network frequency band and the wireless feature information to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell; obtains the final score of each neighboring cell according to the user perception value of each neighboring cell and the 4G / 5G-based resident value; the neighboring cell with the highest score is the optimal cell;

[0057] Network switching module: used to switch the network of each terminal to the network of the optimal cell.

[0058] This application has at least the following beneficial effects:

[0059] After the fingerprint grid is established, the terminal reports the RSRP and SINR measurement information of the serving cell and the neighboring cell, and matches the logical grid information. For example, for the terminal, if the current serving cell is not the optimal cell for 4 / 5G residence and perception of the grid, it directly switches to the target cell in the hetero-frequency / hetero-system neighboring cell to achieve accurate and fast carrier selection / switching and carrier coordination; if the current serving cell is the optimal cell of the grid, the terminal's occupation of the cell remains unchanged. The present application can quickly switch to the cell with the best 4 / 5G residence and perception: the terminal reports only the RSRP and SINR of the same frequency or hetero-frequency / hetero-system, and the terminal reports less information, avoiding unnecessary terminal measurements; thereby ensuring that the terminal user network is always stable, increasing trust and satisfaction with the 5G network, and thereby improving the 5G diversion ratio. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A flowchart of a network resource switching method based on a wireless fingerprint grid algorithm provided by an embodiment of the present application;

[0061] Figure 2 A blank grid division schematic diagram is provided for an embodiment of the present application;

[0062] Figure 3 A schematic diagram of the prediction of the suppression distance provided by an embodiment of the present application;

[0063] Figure 4 Improvement effect diagram of the existing 5G split ratio optimization solution;

[0064] Figure 5This is the effect diagram of the 5G diversion ratio optimization solution for this application;

[0065] Figure 6 This is a diagram showing the effect of improving the FTP upload rate using this application method;

[0066] Figure 7 To improve the effect diagram of Douyin video business using this application method;

[0067] Figure 8 To improve the effect of video services using this application method;

[0068] Fig. 9 A detailed flow chart of a network resource switching method based on a wireless fingerprint grid algorithm is provided for one embodiment of the present application. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0070] In one embodiment, Figure 1 As shown, a network resource switching method based on a wireless fingerprint grid algorithm is provided, the method comprising:

[0071] Step S1: By randomly performing periodic co-frequency measurements on target terminals in the target area, wireless characteristic information of the service cell and the neighboring cells with the same frequency as the service cell collected by multiple target terminals respectively is obtained; the geographical area where the service cell obtained by each target terminal and the N neighboring cells with the same frequency as its own service cell and the strongest wireless characteristics are located is divided into an independent blank grid, thereby completing the division of the blank grid of the target area; the wireless characteristics include reference signal received power RSRP and signal to downlink interference plus noise ratio SINR.

[0072] In step S1, a specified number of UEs in the cell are randomly selected to initiate periodic co-frequency measurements, and the wireless characteristics (RSRP reference signal received power, SINR signal interference plus noise ratio) are modeled. The blank grid is divided according to the RSRP and SINR values ​​of the serving cell and at most two cells with the strongest co-frequency neighboring cells, and each grid represents the characteristics of the wireless environment where the user is located; Figure 2 Shown is a schematic diagram of blank grid division.

[0073] Step S2: Acquire the wireless characteristic information of the serving cell and the neighboring cells with different frequencies and systems collected by each terminal in the geographical area corresponding to each blank grid.

[0074] In step S2, each blank grid is filled with hetero-frequency and hetero-system neighboring cell information, which mainly includes hetero-frequency and hetero-system measurement report information, including RSRP and SINR information of each hetero-frequency and hetero-system neighboring cell. When the hetero-frequency and hetero-system neighboring cell measurement data in a grid accumulates to 3, it means that the grid is available.

[0075] Step S3: Score the service perception of the service cell of each terminal in the blank grid. When the service service perception score of the service cell is lower than the target value, the neighboring area obtained by the terminal is judged to obtain the optimal cell corresponding to each terminal. The judgment of the neighboring area of ​​different frequencies and systems obtained by the terminal to obtain the optimal cell corresponding to each terminal includes:

[0076] Step S31: determining the hetero-frequency and hetero-system neighboring area of ​​each terminal, evaluating the hetero-frequency and hetero-system neighboring area of ​​each terminal, calculating the spectrum efficiency and suppression distance of the hetero-frequency and hetero-system neighboring area, and thus calculating the user perception value of each hetero-frequency and hetero-system neighboring area; when evaluating the hetero-frequency and hetero-system neighboring area of ​​each terminal, the wireless characteristic information of the hetero-frequency and hetero-system neighboring area of ​​each terminal should be the wireless characteristic information collected when the current hetero-frequency and hetero-system neighboring area serves as a service cell for other terminals;

[0077] Step S32: Compare the wireless characteristic information of the hetero-frequency and hetero-system neighboring cells of each terminal with the set threshold to select the neighboring cells that meet the set threshold, and then score the neighboring cells that meet the set threshold according to the network frequency band and wireless characteristic information to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell;

[0078] Step S33: Obtain a final score for each neighboring cell according to the user perception value of each neighboring cell and the 4G / 5G-based residence value; the neighboring cell with the highest score is the optimal cell;

[0079] Step S4: Switch the network of each terminal to the network of the optimal cell.

[0080] In the above-mentioned network resource switching method based on the wireless fingerprint grid algorithm, after the fingerprint grid is established, the terminal reports the RSRP and SINR measurement information of the serving cell and the neighboring cell, and then matches the logical grid information. For example, for the terminal, if the current serving cell is not the optimal cell for 4 / 5G residence and perception of the grid, then the hetero-frequency / hetero-system neighboring cell switching is directly performed to the target cell to achieve accurate and fast carrier selection / switching and carrier coordination; if the current serving cell is the optimal cell of the grid, the terminal occupies the cell unchanged. The present application can quickly switch to the cell with the best 4 / 5G residence and perception: the terminal reports only the RSRP and SINR of the same frequency or hetero-frequency / hetero-system, and the terminal reports less information, avoiding unnecessary terminal measurements; thereby ensuring that the terminal user network is always stable, making the user experience stable, increasing trust and satisfaction with the 5G network, and thus improving the 5G diversion ratio.

[0081] In one embodiment, the service perception of the serving cell of the terminal is scored in the following manner:

[0082] Obtain playback data when the terminal plays the video, the playback data including video source quality, buffering time, number of freezes, and percentage of freeze recovery time;

[0083] The first service perception score of the serving cell is calculated by the following formula:

[0084] VMOS=f(vQuality, vLoading, vStallingfreq, vStallingrec, W n )

[0085] Among them, VMOS is the video user perception score, vQuality is the video source quality, vLoading is the buffering time, vStallingfreq is the number of freezes, vStallingrec is the percentage of freeze recovery time, and W n is the weight ratio of each factor;

[0086] When the first service perception score of the serving cell reaches the first set value, the neighboring cells of the terminal with different frequencies and systems are evaluated.

[0087] In one embodiment, the service perception of the serving cell of the terminal is scored in the following manner:

[0088] Obtain the terminal resource load and channel quality, and obtain the overall load of the terminal's serving cell and calculate the upper limit of the achievable rate that the terminal can currently obtain using the following formula:

[0089] R A=α×BW×(1-Load1+Load2)×log2(1+β×SINR(lower));

[0090] Among them, α and β are efficiency factors, which can be obtained by learning and fitting the historical data between the rate and various parameters; BW is the system bandwidth; Load1 is the overall resource load of the serving cell, Load2 is the current terminal resource load, and R A is the achievable rate of the serving cell; SINR (lower) is the downlink signal to interference plus noise ratio;

[0091] Calculate the user's achievable rate in the service cell and the service demand rate R T The rate margin between is calculated by the following formula:

[0092] R GAP =MAX{(R A -R T ) / R A ,0};

[0093] The user's achievable rate in the service cell is equal to the service demand rate R T The rate margin between is the second service perception score;

[0094] When the second service perception score of the serving cell reaches the second set value, the hetero-frequency and hetero-system neighboring cells of the terminal are evaluated.

[0095] In one embodiment, the calculating of the inter-frequency and inter-system neighboring area spectrum efficiency includes:

[0096] According to the path loss calculated based on the downlink receiving RSRP and the transmit power of the neighboring cells of different frequencies and systems, and combined with the interference information obtained from the interface between base stations, the uplink SINR of the neighboring cells of different frequencies and systems can be calculated, and then the spectrum efficiency is calculated by the uplink SINR of the neighboring cells of different frequencies and systems; the spectrum efficiency is calculated by the uplink SINR of the neighboring cells of different frequencies and systems by the following formula:

[0097] SE=α×log2(1+β×SINR(upper))

[0098] Among them, α and β are efficiency factors, and SINR(up) is the uplink signal to interference plus noise ratio.

[0099] In this embodiment, through 5G station X n Interface and 4 / 5G station-to-station X e The interface exchanges neighboring cell information, including load, interference, DC / CA coordination relationship, etc.

[0100] In one embodiment, the step of calculating the suppression distance of hetero-frequency and hetero-system neighboring areas includes:

[0101] Obtain the traffic growth suppression point value of the neighboring area and the traffic value of the current state, and calculate the suppression distance of the neighboring area according to the traffic growth suppression point value of the neighboring area and the traffic value of the current state using the following formula:

[0102] D s =P s -P a

[0103] Where: P s is the flow growth suppression point value, P a The flow value of the current state.

[0104] In this embodiment, if Figure 3 As shown in the figure, with the increase of the number of users and resource utilization, due to factors such as resource squeezing and increased interference, the network traffic increases as follows: first it is linear, then it reaches the suppression point and reaches the maximum value, and finally gradually decreases.

[0105] In one embodiment, calculating the user perception value of each inter-frequency and inter-system neighboring area includes:

[0106] The normalized spectrum efficiency is calculated based on the neighboring cell spectrum efficiency of different frequencies and systems using the following formula:

[0107] SE scale =SE / SE max ;

[0108] Among them, SE max The maximum spectrum efficiency of the neighboring cells with different frequencies and systems;

[0109] The user perception value is calculated using the following formula based on the achievable rate, spectrum efficiency, and suppression distance of the neighboring cells of different frequencies and systems:

[0110] P = {Max(R A ,0)}β×SE scale θD S Φ

[0111] Among them, β and θ are weighting factors, R A The reachable rate and SE calculated by using the neighboring cell of the current terminal as the service cell of other terminals max is the maximum spectral efficiency, D S is the suppression distance, Φ is D S variables.

[0112] In one embodiment, the setting threshold sets the threshold as SINR≥3 and RSRP≥-110dBm.

[0113] In one embodiment, scoring neighboring cells that meet a set threshold according to the frequency range and technology generation of the network to obtain a 4G / 5G-based resident value for each hetero-frequency and hetero-system neighboring cell includes:

[0114] Obtain the priority score of the neighboring cell according to the frequency band of the neighboring cell;

[0115] The priority score of the neighboring cell and the wireless characteristic information are calculated using the following formula:

[0116]

[0117] Among them, Q is the residence value of the cell, Y is the frequency band priority score of the neighboring cell, and ε is the residence level weight.

[0118] In this embodiment, the scores are first performed according to the frequency bands of the cells in the grid. If the frequency bands are 5G high frequency, 5G cell medium frequency, 5G low frequency, 4G high frequency, 4G medium frequency, and 4G low frequency, the priority scores are set to 7, 6, 5, 4, 3, and 1 respectively.

[0119] In one embodiment, the final score of each neighboring area obtained according to the user perception value of each neighboring area and the 4G / 5G-based residence value is calculated by the following formula:

[0120] C=γ×P+δ×Q

[0121] =γ{max(R A ,0)}β×γSEscaleθD S Φ+δ×Q

[0122] Among them, γ and δ are weight factors, β and θ are weighting factors, P is the user perception value, and Q is the residence value based on 4G / 5G.

[0123] In one embodiment, an area is selected for verification: 97 physical stations in a city, a total of 317 communities, are selected for intelligent diversion pilot verification. The logical fingerprint grid construction library sets the construction cycle to 1 hour, the MR reporting cycle to 5 seconds, and the number of MRs required to build the grid is set to 1000. Checking the actual construction status shows the current number of grids, a total of 2774 fingerprint grids.

[0124] Based on the wireless fingerprint grid algorithm, the intelligent split ratio improvement solution of 5G is 1.75pp higher than the traditional solution, and the perception rate is 20% higher than the traditional solution. Figure 4 As shown in the figure, it is the improvement effect diagram of the existing 5G split ratio optimization solution. Figure 5 The figure shows the improvement effect of the intelligent diversion ratio solution of this application.

[0125] like Figure 6As shown in the figure, the FTP upload rate improvement effect diagram of the present invention, the left side of the dotted line is the UE residing in the 5G cell and slowly moving to the poor point; the right side is the UE switching to the 4G better cell in time, and the uplink rate is significantly improved. The uplink rate is 20% higher than the traditional optimization solution.

[0126] like Figure 7 As shown in the figure, the effect diagram of the Douyin video service improvement in this application is that the downlink mid-pack service triggers switching at the sensing edge. Before the switching, the service stays in 5G for a long time. After switching to a better 4G cell in time, the video service remains smooth. The downlink rate is increased by 19% compared with the traditional optimization solution.

[0127] like Figure 8 As shown in the figure, the video service improvement effect diagram of this application is that the downlink small and medium packet service triggers switching at the perception edge, and the service stays in 5G for a long time. After switching to a better 4G cell in time, the video service remains smooth. The downlink rate is increased by 22% compared with the traditional optimization solution.

[0128] In one embodiment, a network resource switching system based on a wireless fingerprint grid algorithm is provided, characterized in that the system comprises:

[0129] Blank grid division module: used to obtain wireless characteristic information of the service cell and the neighboring cells with the same frequency as the service cell respectively collected by multiple target terminals by randomly performing periodic same-frequency measurements on the target terminals in the target area; the geographical area where the service cell obtained by each target terminal and the N neighboring cells with the same frequency as its own service cell and the strongest wireless characteristics are located is divided into an independent blank grid, so as to complete the division of the blank grid of the target area; the wireless characteristics include reference signal received power RSRP and signal to downlink interference plus noise ratio SINR;

[0130] Blank grid data filling module: used to obtain the wireless characteristic information of the service cell and the neighboring cells of different frequencies and systems collected by each terminal in the geographical area corresponding to each blank grid;

[0131] Service business perception scoring module: used to score the service perception of the service cell of each terminal in each grid. When the service business perception score of the service cell is lower than the target value, the neighboring cells of different frequencies and systems obtained by the terminal are judged to obtain the optimal cell corresponding to each terminal;

[0132] The optimal cell judgment module is used for the hetero-frequency and hetero-system neighboring cells of each terminal, evaluates the hetero-frequency and hetero-system neighboring cells of each terminal, calculates the spectrum efficiency and suppression distance of the hetero-frequency and hetero-system neighboring cells, and thus calculates the user perception value of each hetero-frequency and hetero-system neighboring cells; when evaluating the hetero-frequency and hetero-system neighboring cells of each terminal, the wireless feature information of the hetero-frequency and hetero-system neighboring cells of each terminal should be the wireless feature information collected when the current hetero-frequency and hetero-system neighboring cells serve as the service cells of other terminals, compares the wireless feature information of the hetero-frequency and hetero-system neighboring cells of each terminal with the set threshold to select the neighboring cells that meet the set threshold, and then scores the neighboring cells that meet the set threshold according to the network frequency band and the wireless feature information to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell; obtains the final score of each neighboring cell according to the user perception value of each neighboring cell and the 4G / 5G-based resident value; the neighboring cell with the highest score is the optimal cell;

[0133] Network switching module: used to switch the network of each terminal to the network of the optimal cell.

[0134] like Fig. 9 As shown, the overall idea of ​​the intelligent split ratio improvement solution of the wireless fingerprint grid algorithm in this application is divided into two parts:

[0135] First, a logical fingerprint grid library is established based on a machine self-learning algorithm. The number of measurements reported by the terminals in the cell is collected, and blank grids are divided according to the serving cell and up to two cells with the strongest co-frequency neighboring cells; each blank grid is filled with RSRP and SINR information of hetero-frequency and hetero-system neighboring cells. When the hetero-frequency and hetero-system neighboring cell measurement data in a grid accumulate to 3, the grid is available; when the serving cell perception score is lower than the service demand target value, predictions are made from the three dimensions of spectrum efficiency, suppression distance, and 4 / 5G retention of hetero-frequency and hetero-system neighboring cells, and the cell with the best perception and 4 / 5G retention in the grid is calculated.

[0136] Secondly, fingerprint grid application. After the fingerprint grid is established, the terminal reports the RSRP and SINR measurement information of the serving cell and the neighboring cell, and uses the RSRP and SINR measurement information as the grid index in the grid library to match the logical grid information. If the current serving cell is not the cell with the best 4 / 5G residence and the best perception of the grid, it will directly switch to the optimal cell in the heterogeneous frequency / heterogeneous system neighboring cell to achieve accurate and fast carrier selection / switching and carrier coordination; if the current serving cell is the optimal cell of the grid, the terminal will occupy the cell unchanged.

[0137] Compared with the existing traditional solutions, the advantages of the intelligent split ratio improvement solution based on the wireless fingerprint grid algorithm of the present invention are mainly reflected in two aspects:

[0138] (1) Improve the 5G diversion ratio by combining multiple dimensions of perception. Through the machine self-learning algorithm, the RSRP and SINR indicators of the user's current service cell and the heterofrequency / heterogeneous system neighboring cells are collected to establish a logical fingerprint grid. The prediction is made from three dimensions: spectrum efficiency, suppression distance, and 4 / 5G residence. The cell with the best perception and 4 / 5G residence in the grid is calculated. After the terminal matches the grid, it migrates to the optimal cell. Compared with the traditional single coverage decision of switching, the solution of the present invention comprehensively considers multiple dimensions to better ensure user perception.

[0139] (2) Reduce measurement information, make switching faster, and further improve the rate. Compared with the traditional coverage-based 4 / 5G interoperability switching events, unnecessary measurement data and switching decision processes are reduced.

[0140] Regarding the specific definition of a network resource switching system based on a wireless fingerprint grid algorithm, please refer to the definition of a network resource switching method based on a wireless fingerprint grid algorithm in the above text, which will not be repeated here. As mentioned above, each module in a network resource switching system based on a wireless fingerprint grid algorithm can be implemented in whole or in part through software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0141] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0142] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A network resource switching method based on a wireless fingerprint grid algorithm, characterized in that: The method comprises: Step S1: By randomly performing periodic co-frequency measurements on target terminals in the target area, wireless characteristic information of the service cell and the neighboring cells with the same frequency as the service cell collected by multiple target terminals respectively is obtained; the geographical area where the service cell obtained by each target terminal and the N neighboring cells with the same frequency as its own service cell and the strongest wireless characteristics are located is divided into an independent blank grid, thereby completing the division of the blank grid of the target area; the wireless characteristics include reference signal received power RSRP and signal to downlink interference plus noise ratio SINR; Step S2: obtaining wireless characteristic information of the serving cell and neighboring cells of different frequencies and systems collected by each terminal in the geographical area corresponding to each blank grid; Step S3: Score the service perception of the service cell of each terminal in each grid. When the service service perception score of the service cell is lower than the target value, the neighboring area of ​​different frequencies and systems obtained by the terminal is judged to obtain the optimal cell corresponding to each terminal. The judging of the neighboring area of ​​different frequencies and systems obtained by the terminal to obtain the optimal cell corresponding to each terminal includes: Step S31: determining the hetero-frequency and hetero-system neighboring area of ​​each terminal, evaluating the hetero-frequency and hetero-system neighboring area of ​​each terminal, calculating the spectrum efficiency and suppression distance of the hetero-frequency and hetero-system neighboring area, and thus calculating the user perception value of each hetero-frequency and hetero-system neighboring area; when evaluating the hetero-frequency and hetero-system neighboring area of ​​each terminal, the wireless characteristic information of the hetero-frequency and hetero-system neighboring area of ​​each terminal should be the wireless characteristic information collected when the current hetero-frequency and hetero-system neighboring area serves as a service cell for other terminals in the same grid; Step S32: Compare the wireless characteristic information of the hetero-frequency and hetero-system neighboring cells of each terminal with the set threshold to select the neighboring cells that meet the set threshold, and then score the neighboring cells that meet the set threshold according to the network frequency band and wireless characteristic information to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell; Step S33: Obtain a final score for each neighboring cell according to the user perception value of each neighboring cell and the 4G / 5G-based residence value; the neighboring cell with the highest score is the optimal cell; Step S4: Switch the network of each terminal to the network of the optimal cell.

2. The method according to claim 1, characterized in that The service perception of the serving cell of the terminal is scored in the following manner: Obtain playback data when the terminal plays the video, the playback data including video source quality, buffering time, number of freezes, and percentage of freeze recovery time; The first service perception score of the serving cell is calculated by the following formula: VMOS=f(vQuality,vLoading,vStallingfreq,vStallingrec,W n ) Among them, VMOS is the video user perception score, vQuality is the video source quality, vLoading is the buffering time, vStallingfreq is the number of freezes, vStallingrec is the percentage of freeze recovery time, and W n is the weight ratio of each factor; When the first service perception score of the serving cell reaches the first set value, the neighboring cells of the terminal with different frequencies and systems are evaluated.

3. The method according to claim 2, characterized in that The service perception of the serving cell of the terminal is also scored in the following manner: Obtain the terminal resource load and channel quality, and obtain the overall load of the terminal's serving cell and calculate the upper limit of the achievable rate that the terminal can currently obtain using the following formula: R A =α×BW×(1-Load1+Load2)×log2(1+β×SINR(lower)); Among them, α and β are efficiency factors, which can be obtained by learning and fitting the historical data between the rate and various parameters; BW is the system bandwidth; Load1 is the overall resource load of the serving cell, Load2 is the current terminal resource load, and R A is the achievable rate of the serving cell; SINR (lower) is the downlink signal to interference plus noise ratio; Calculate the user's achievable rate in the service cell and the service demand rate R T The rate margin between is calculated by the following formula: R GAP =MAX{(R A -R T ) / R A ,0}; The user's achievable rate in the service cell is equal to the service demand rate R T The rate margin between is the second service perception score; When the second service perception score of the serving cell reaches the second set value, the hetero-frequency and hetero-system neighboring cells of the terminal are evaluated.

4. The method according to claim 1, characterized in that The calculating of the inter-frequency and inter-system adjacent area spectrum efficiency comprises: According to the path loss calculated based on the downlink receiving RSRP and the transmit power of the neighboring cells of different frequencies and systems, and combined with the interference information obtained from the interface between base stations, the uplink SINR of the neighboring cells of different frequencies and systems can be calculated, and then the spectrum efficiency is calculated by the uplink SINR of the neighboring cells of different frequencies and systems; the spectrum efficiency is calculated by the uplink SINR of the neighboring cells of different frequencies and systems by the following formula: SE=α×log2(1+β×SINR(upper)) Among them, α and β are efficiency factors, and SINR(up) is the uplink signal to interference plus noise ratio.

5. The method according to claim 1, characterized in that: The calculation of the suppression distance of the hetero-frequency and hetero-system neighboring areas comprises: Obtain the traffic growth suppression point value of the neighboring area and the traffic value of the current state, and calculate the suppression distance of the neighboring area according to the traffic growth suppression point value of the neighboring area and the traffic value of the current state using the following formula: D s =P s -P a Where: P s is the flow growth suppression point value, P a The flow value of the current state.

6. The method according to claim 5, characterized in that Calculating the user perception value of each hetero-frequency and hetero-system neighboring cell includes: The normalized spectrum efficiency is calculated based on the neighboring cell spectrum efficiency of different frequencies and systems using the following formula: SE scale =SE / SE max ; Among them, SE max The maximum spectrum efficiency of the neighboring cells with different frequencies and systems; The user perception value is calculated using the following formula based on the achievable rate, spectrum efficiency, and suppression distance of the neighboring cells of different frequencies and systems: P={Max(R A ,0)}β×SE scale θD S F Among them, β and θ are weighting factors, R A The reachable rate and SE calculated for the neighboring cell of the current terminal as the service cell of other terminals in the same grid max is the maximum spectral efficiency, D S is the suppression distance, Φ is D S variables.

7. The method according to claim 1, characterized in that The threshold setting threshold is SINR≥3 and RSRP≥-110dBm.

8. The method according to claim 1, characterized in that Scoring neighboring cells that meet the set threshold according to the frequency range and technology generation of the network to obtain a 4G / 5G-based resident value for each hetero-frequency and hetero-system neighboring cell includes: Obtain the priority score of the neighboring cell according to the frequency band of the neighboring cell; The priority score of the neighboring cell and the wireless characteristic information are calculated using the following formula: Among them, Q is the residence value of the cell, Y is the frequency band priority score of the neighboring cell, and ε is the residence level weight.

9. The method according to claim 1, characterized in that: The final score of each neighboring area is calculated based on the user perception value of each neighboring area and the 4G / 5G-based residence value by the following formula: C=γ×P+δ×Q =γ{max(R A ,0)}β×γSEscaleθD S Φ+δ×Q Among them, γ and δ are weight factors, β and θ are weighting factors, P is the user perception value, and Q is the residence value based on 4G / 5G.

10. A network resource switching system based on wireless fingerprint grid algorithm, characterized in that: The system comprises: Blank grid division module: used to obtain wireless characteristic information of the service cell and the neighboring cells with the same frequency as the service cell respectively collected by multiple target terminals by randomly performing periodic same-frequency measurements on the target terminals in the target area; the geographical area where the service cell obtained by each target terminal and the N neighboring cells with the same frequency as its own service cell and the strongest wireless characteristics are located is divided into an independent blank grid, so as to complete the division of the blank grid of the target area; the wireless characteristics include reference signal received power RSRP and signal to downlink interference plus noise ratio SINR; Blank grid data filling module: used to obtain the wireless characteristic information of the service cell and the neighboring cells of different frequencies and systems collected by each terminal in the geographical area corresponding to each blank grid; Service business perception scoring module: used to score the service perception of the service cell of each terminal in each grid. When the service business perception score of the service cell is lower than the target value, the neighboring cells of different frequencies and systems obtained by the terminal are judged to obtain the optimal cell corresponding to each terminal; The optimal cell judgment module is used for the hetero-frequency and hetero-system neighboring cells of each terminal, evaluates the hetero-frequency and hetero-system neighboring cells of each terminal, calculates the spectrum efficiency and suppression distance of the hetero-frequency and hetero-system neighboring cells, and thus calculates the user perception value of each hetero-frequency and hetero-system neighboring cells; when evaluating the hetero-frequency and hetero-system neighboring cells of each terminal, the wireless feature information of the hetero-frequency and hetero-system neighboring cells of each terminal should be the wireless feature information collected when the current hetero-frequency and hetero-system neighboring cells serve as the service cells of other terminals, compares the wireless feature information of the hetero-frequency and hetero-system neighboring cells of each terminal with the set threshold to select the neighboring cells that meet the set threshold, and then scores the neighboring cells that meet the set threshold according to the network frequency band and the wireless feature information to obtain the 4G / 5G-based resident value of each hetero-frequency and hetero-system neighboring cell; obtains the final score of each neighboring cell according to the user perception value of each neighboring cell and the 4G / 5G-based resident value; the neighboring cell with the highest score is the optimal cell; Network switching module: used to switch the network of each terminal to the network of the optimal cell.

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