Indoor wireless switching control method

Abstract

The invention discloses an indoor wireless switching control method, relates to the technical field of wireless switching control, and solves the problems of slow wireless switching process, low switching efficiency and overhigh switching delay rate. A wireless switching control method; comprising the following steps: acquiring all wireless network signals in a building to construct an available network list; measuring and calculating the direction and intensity of each wireless network signal of the available network list; when the user enters the building, predicting and analyzing an advancing route of the user to obtain an advancing predicted route; a wireless switching mechanism is utilized to formulate the switching sequence of the wireless network signals according to the advancing prediction route and the direction and strength of the wireless network signals; according to the switching sequence of the wireless network signals, dividing overlapping areas among the wireless network signals to form priority areas of the wireless network signals; when the user enters the priority area, automatically switching to a corresponding wireless network signal; the wireless switching process is accelerated, the switching efficiency is improved, and the switching delay rate is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless switching control, and in particular to an indoor wireless switching control method. Background Art

[0002] With the continuous development of science and technology, wireless communication has become an indispensable part of our lives. The development of wireless communication has brought us convenience, but it also faces some challenges, such as the impact of buildings on wireless signal coverage and reception services.

[0003] In modern society, people have an increasing demand for mobile communication services, especially in indoor environments. However, due to the complex structure and materials of buildings, there are often problems with the coverage of indoor mobile services, such as weak signals and signal blocking. Therefore, it is crucial to design and study wireless coverage distribution systems for indoor scenarios, which will be able to improve the coverage and quality of indoor mobile services, provide users with a better communication experience, and meet people's growing communication needs.

[0004] Patent No. CN2022101330709 discloses an indoor test method and system for vehicle-to-ground wireless communication switching, the method includes: configuring a simulated vehicle wireless device, a first simulated ground wireless device, a second simulated ground wireless device and an industrial computer; setting the working mode of the simulated vehicle wireless device, the first simulated ground wireless device and the second simulated ground wireless device through the industrial computer, the working mode includes a master station mode and a slave station mode, the working mode of the first simulated ground wireless device and the second simulated ground wireless device is the same, and the working mode of the simulated vehicle wireless device is opposite to that of the first simulated ground wireless device; establishing a wireless communication link between the simulated vehicle wireless device and the first simulated ground wireless device; switching the wireless communication link of the simulated vehicle wireless device from connecting to the first simulated ground wireless device currently communicating to connecting to the second simulated ground wireless device, and the industrial computer records the time taken for the simulated vehicle wireless device to switch the wireless communication link. The above invention can conveniently test the two communication switching modes of vehicle-to-ground wireless communication and simulate the ping-pong switching scenario in wireless communication.

[0005] Patent No. CN2012102903583 discloses a method for seamless switching between indoor wireless positioning and outdoor wireless positioning, specifically involving a method for seamless switching between indoor wireless positioning and outdoor wireless positioning based on a cost function, in order to solve the problem that the existing indoor wireless positioning and outdoor wireless positioning cannot be seamlessly switched. The specific steps of the method are: step 1, setting the overlapping area; step 2, selecting parameters: selecting different parameters according to different positioning systems to participate in the cost function calculation; step 3, setting weights; step 4, determining the threshold or retention time; step 5, comparing the cost function. The above invention is used for seamless switching between indoor wireless positioning and outdoor wireless positioning in radio positioning technology.

[0006] Although the above patents can achieve seamless switching between wireless networks, the wireless switching process between wireless network signals is slow, the switching efficiency is low, and the switching delay rate is too high. Summary of the invention

[0007] The purpose of the present invention is to provide an indoor wireless switching control method, which can divide the overlapping areas between wireless network signals into priority areas of each wireless network signal through the wireless switching control method, thereby providing convenience and stability for the switching control process of each wireless network signal; so as to speed up the wireless switching process, improve the switching efficiency, and reduce the switching delay rate.

[0008] The present invention utilizes the following technical solutions:

[0009] An indoor wireless switching control method comprises the following steps in sequence:

[0010] S1: Obtain all wireless network signals in the building to build a list of available networks;

[0011] S2: Calculate the direction and strength of each wireless network signal in the available network list;

[0012] S3: When the user enters the building, predict and analyze the user's travel route to obtain a predicted travel route;

[0013] S4: using the wireless switching mechanism to determine the switching order of each wireless network signal according to the predicted travel route and the direction and strength of each wireless network signal;

[0014] S5: dividing the overlapping areas between the wireless network signals according to the switching order of the wireless network signals to form priority areas for the wireless network signals;

[0015] S6: When the user enters the priority area, automatically switch to the corresponding wireless network signal.

[0016] Preferably, in step S1, the user uses a terminal device to scan wireless networks in a building to obtain two or more wireless network signals to construct an available network list.

[0017] Preferably, step S2 comprises the following steps:

[0018] S21: Receive a wireless network signal using an antenna array, and record a receiving time and a phase of the wireless network signal;

[0019] S22: Calculating the phase difference between the wireless network signals according to the recorded phases of the wireless network signals;

[0020] S23: Calculating the signal direction, signal strength and signal-to-noise ratio of the wireless network signal according to the phase difference between the wireless network signals;

[0021] S24: Mapping the acquired signal direction and signal strength to a three-dimensional map of the building space using a volume rendering algorithm.

[0022] Preferably, step S3 comprises the following steps:

[0023] S31: Obtain basic information of all mobile interactive terminals connected to each wireless network signal; the mobile interactive terminals include mobile phones, laptops and tablets; the basic information includes device identification codes and network addresses;

[0024] S32: Collecting real-time location information of all mobile interaction terminals to train a transfer prediction model;

[0025] S34: Calculate the state transition probability of each mobile interaction terminal according to the transition prediction model;

[0026] S35: Predicting the user's travel route using the transition prediction model and the state transition probability;

[0027] S36: Continuously record and update the user's real-time travel route.

[0028] Preferably, step S4 comprises the following steps:

[0029] S41: Calculating the signal quality of each wireless network signal according to the signal characteristic evaluation index of each wireless network signal access point to obtain a comprehensive signal quality evaluation value of the wireless signal;

[0030] S42: predicting each wireless network signal access point in the signal switching area according to the user's travel route to generate a candidate access point list;

[0031] S43: For each candidate access point in the candidate access point list, a corresponding handover decision value is calculated using a handover decision formula;

[0032] S44: According to the switching decision value, a switching order of each candidate access point is determined from high to low;

[0033] S45: Based on the user's travel route prediction, when the switching trigger condition is met, the switching strategy is executed according to the switching sequence.

[0034] Preferably, the switching triggering conditions include a decrease in wireless network signal strength, a decrease in wireless network signal quality and / or an addition of a new wireless network signal; and the switching strategies include hard switching, soft switching and softer switching.

[0035] Preferably, step S5 comprises the following steps:

[0036] S51: Analyze the switching order of each candidate access point and calculate the priority of each wireless network signal access point;

[0037] S52: Determine the switching point location according to the user's predicted travel route;

[0038] S53: Calculating the radius of the signal switching area according to the priority of the wireless network signal access point;

[0039] S54: In each signal switching area, divide the priority area according to the priority of the wireless network signal access point;

[0040] S55: Optimizing and correcting the priority areas of each wireless network signal according to the network load condition.

[0041] The present invention divides the overlapping areas between wireless network signals into priority areas of each wireless network signal through a wireless switching control method, thereby providing convenience and stability for the switching control process of each wireless network signal, speeding up the wireless switching process, improving the switching efficiency, and reducing the switching delay rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0043] Figure 1 It is a principle block diagram of the indoor wireless switching control method;

[0044] Figure 2 A block diagram showing the principle of dividing the signal overlap area into priority areas for each wireless network signal. DETAILED DESCRIPTION

[0045] The present invention is described in detail below with reference to the accompanying drawings and embodiments:

[0046] like Figure 1-Figure 2 As shown, an indoor wireless switching control method described in the present invention comprises the following steps in sequence:

[0047] S1: Obtain all wireless network signals in the building to build a list of available networks;

[0048] In the present invention, a user uses a terminal device to scan wireless networks in a building, obtains two or more wireless network signals, and constructs an available network list;

[0049] S2: Calculate the direction and strength of each wireless network signal in the available network list;

[0050] In the present invention, step S2 includes the following steps:

[0051] S21: Receive a wireless network signal using an antenna array, and record a receiving time and a phase of the wireless network signal;

[0052] S22: Calculating the phase difference between the wireless network signals according to the recorded phases of the wireless network signals;

[0053] S23: Calculating the signal direction, signal strength and signal-to-noise ratio of the wireless network signal according to the phase difference between the wireless network signals;

[0054] Signal direction DOA: Where s, t both represent the antenna serial number in the antenna array, ω st represents the phase difference between the sth and tth antennas, and N represents the total number of antennas;

[0055] Signal strength RSSI: Among them, P rx Indicates the wireless network signal power, P ref Indicates the reference power;

[0056] Signal-to-Noise Ratio SNR: Among them, P noise represents the background noise power;

[0057] S24: Mapping the acquired signal direction and signal strength to a three-dimensional map of the building space using a volume rendering algorithm;

[0058] S3: When the user enters the building, predict and analyze the user's travel route to obtain a predicted travel route;

[0059] In the present invention, step S3 includes the following steps:

[0060] S31: Obtain basic information of all mobile interactive terminals connected to each wireless network signal; the mobile interactive terminals include mobile phones, laptops and tablets; the basic information includes device identification codes and network addresses;

[0061] S32: Collecting real-time location information of all mobile interaction terminals to train a transfer prediction model;

[0062] S34: Calculate the state transition probability of each mobile interaction terminal according to the transition prediction model;

[0063] S35: Predicting the user's travel route using the transition prediction model and the state transition probability;

[0064] S36: Continuously record and update the user's real-time travel route;

[0065] S4: The wireless switching mechanism determines the switching order of each wireless network signal according to the predicted travel route and the direction and strength of each wireless network signal;

[0066] In the present invention, step S4 includes the following steps:

[0067] S41: Calculate the signal quality of each wireless network signal according to the signal characteristic evaluation index of each wireless network signal access point to obtain a comprehensive signal quality evaluation value of the wireless signal; the signal characteristic evaluation index includes signal strength RSSI and signal-to-noise ratio SNR;

[0068] Q=w1*RSSI+w2*SNR (1)

[0069] Where Q represents the comprehensive signal quality evaluation value, w1 represents the strength weight coefficient, and w2 represents the signal-to-noise ratio weight coefficient;

[0070] S42: predicting each wireless network signal access point in the signal switching area according to the user's travel route to generate a candidate access point list;

[0071]

[0072] Among them, S new Table 1: New candidate access point, S i represents the candidate access point, Q i Represents the candidate access point S i The wireless network signal quality evaluation value, O(S i ) indicates that the user enters the candidate access point S i The predicted probability of the coverage area, α represents the weight coefficient, and argmax() represents the parameter set function;

[0073] S43: For each candidate access point in the candidate access point list, a corresponding handover decision value is calculated using a handover decision formula;

[0074] H=α1*RSSI+α2*(1-N)+α3*(1-L)-α4*C (3)

[0075] Wherein, H represents the switching decision value, α1 represents the first weight value, α2 represents the second weight value, N represents the network congestion degree, and the value range of N is 0-1, α3 represents the fourth weight value, L represents the delay coefficient, and the value range of L is 0-1, α4 represents the fourth weight value, and C represents the switching cost;

[0076] S44: According to the switching decision value, a switching order of each candidate access point is determined from high to low;

[0077] S45: executing the switching strategy in a switching order when the switching triggering condition is met according to the user's travel route prediction;

[0078] In this embodiment, the switching triggering conditions include a decrease in wireless network signal strength, a decrease in wireless network signal quality, and / or an addition of a new wireless network signal; the switching strategies include hard switching, soft switching, and softer switching;

[0079] S5: dividing the overlapping areas between the wireless network signals according to the switching order of the wireless network signals to form priority areas for the wireless network signals;

[0080] In the present invention, step S5 includes the following steps:

[0081] S51: Analyze the switching order of each candidate access point and calculate the priority of each wireless network signal access point;

[0082]

[0083] Among them, P(S i ) represents the candidate access point S i priority, j represents the candidate access point number, N represents the total number of candidate access points, Represents the sum of wireless network signal quality evaluation values ​​of all candidate access points;

[0084] S52: Determine the switching point location according to the user's predicted travel route;

[0085] S53: Calculating the radius of the signal switching area according to the priority of the wireless network signal access point;

[0086]

[0087] Where R represents the radius of the signal switching area, P(S new ) represents the priority of the new candidate access point to be switched to, and C represents a constant;

[0088] S54: In each signal overlapping area, divide the priority area according to the priority of the wireless network signal access point;

[0089] S55: Optimizing and correcting the priority areas of each wireless network signal according to the network load condition;

[0090] S6: When the user enters the priority area, automatically switch to the corresponding wireless network signal.

[0091] Example:

[0092] The user uses a terminal device to scan the wireless network in the building, obtains two or more wireless network signals, and constructs a list of available networks; uses an antenna array to receive the wireless network signal, and records the reception time and phase of the wireless network signal; calculates the phase difference between each wireless network signal based on the recorded phase of each wireless network signal; calculates the signal direction, signal strength, and signal-to-noise ratio of the wireless network signal based on the phase difference between each wireless network signal; maps the obtained signal direction and signal strength to a three-dimensional map of the building space using a volume rendering algorithm;

[0093] Obtain basic information of all mobile interactive terminals connected to each wireless network signal; collect real-time location information of all mobile interactive terminals to train the transfer prediction model; calculate the state transition probability of each mobile interactive terminal based on the transfer prediction model; use the transfer prediction model and state transition probability to predict the user's route; continuously record and update the user's real-time route;

[0094] According to the signal characteristic evaluation index of each wireless network signal access point, the signal quality of each wireless network signal is calculated to obtain the comprehensive signal quality evaluation value of the wireless signal; according to the user's travel route, each wireless network signal access point in the signal switching area is predicted to generate a candidate access point list; for each candidate access point in the candidate access point list, the corresponding switching decision value is calculated using the switching decision formula; according to the switching decision value, the switching order of each candidate access point is formulated from high to low; according to the user's travel route prediction, when the switching trigger condition is met, the switching strategy is executed according to the switching order: the switching trigger condition includes a decrease in wireless network signal strength, a decrease in wireless network signal quality and / or an increase in a new wireless network signal; the switching strategy includes hard switching, soft switching and softer switching;

[0095] The switching order of each candidate access point is analyzed, and the priority of each wireless network signal access point is calculated; the switching point location is determined according to the user's predicted travel route; the radius of the signal switching area is calculated according to the priority of the wireless network signal access point; in each signal switching area, the priority area is divided according to the priority of the wireless network signal access point; according to the network load, the priority area of ​​each wireless network signal is optimized and corrected to ensure that when the user enters the priority area, it automatically switches to the corresponding wireless network signal.

Claims

1. An indoor wireless switching control method, characterized in that: The method comprises the following steps in sequence; S1: Obtain all wireless network signals in the building to build a list of available networks; S2: Calculate the direction and strength of each wireless network signal in the available network list; S3: When the user enters the building, predict and analyze the user's travel route to obtain a predicted travel route; S4: using the wireless switching mechanism to determine the switching order of each wireless network signal according to the predicted travel route and the direction and strength of each wireless network signal; S5: dividing the overlapping areas between the wireless network signals according to the switching order of the wireless network signals to form priority areas for the wireless network signals; S6: When the user enters the priority area, automatically switch to the corresponding wireless network signal.

2. The indoor wireless switching control method according to claim 1, characterized in that: In step S1, the user uses a terminal device to scan wireless networks in a building to obtain two or more wireless network signals to construct an available network list.

3. The indoor wireless switching control method according to claim 1, characterized in that: The step S2 comprises the following steps: S21: Receive a wireless network signal using an antenna array, and record a receiving time and a phase of the wireless network signal; S22: Calculating the phase difference between the wireless network signals according to the recorded phases of the wireless network signals; S23: Calculating the signal direction, signal strength and signal-to-noise ratio of the wireless network signal according to the phase difference between the wireless network signals; S24: Mapping the acquired signal direction and signal strength to a three-dimensional map of the building space using a volume rendering algorithm.

4. The indoor wireless switching control method according to claim 1, characterized in that: The step S3 comprises the following steps: S31: Obtain basic information of all mobile interactive terminals connected to each wireless network signal; the mobile interactive terminals include mobile phones, laptops and tablets; the basic information includes device identification codes and network addresses; S32: Collecting real-time location information of all mobile interaction terminals to train a transfer prediction model; S34: Calculate the state transition probability of each mobile interaction terminal according to the transition prediction model; S35: Predicting the user's travel route using the transition prediction model and the state transition probability; S36: Continuously record and update the user's real-time travel route.

5. The indoor wireless switching control method according to claim 1, characterized in that: The step S4 comprises the following steps: S41: Calculating the signal quality of each wireless network signal according to the signal characteristic evaluation index of each wireless network signal access point to obtain a comprehensive signal quality evaluation value of the wireless signal; S42: predicting each wireless network signal access point in the signal switching area according to the user's travel route to generate a candidate access point list; S43: For each candidate access point in the candidate access point list, a corresponding handover decision value is calculated using a handover decision formula; S44: According to the switching decision value, a switching order of each candidate access point is determined from high to low; S45: Based on the user's travel route prediction, when the switching trigger condition is met, the switching strategy is executed according to the switching sequence.

6. The indoor wireless switching control method according to claim 4, characterized in that: The switching triggering conditions include a decrease in wireless network signal strength, a decrease in wireless network signal quality and / or an addition of a new wireless network signal; the switching strategies include hard switching, soft switching and softer switching.

7. The indoor wireless switching control method according to claim 1, characterized in that: The step S5 comprises the following steps: S51: Analyze the switching order of each candidate access point and calculate the priority of each wireless network signal access point; S52: Determine the switching point location according to the user's predicted travel route; S53: Calculating the radius of the signal switching area according to the priority of the wireless network signal access point; S54: In each signal overlapping area, divide the priority area according to the priority of the wireless network signal access point; S55: Optimizing and correcting the priority areas of each wireless network signal according to the network load condition.

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