CN109121149B - Wireless network autonomous optimization method, device, equipment and storage medium - Google Patents
Wireless network autonomous optimization method, device, equipment and storage medium Download PDFInfo
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- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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Abstract
The embodiment of the invention discloses a wireless network autonomous optimization method, a wireless network autonomous optimization device, wireless network autonomous optimization equipment and a storage medium, and relates to the field of wireless communication. The method comprises the following steps: if the network signal intensity of the current service cell is lower than the network signal intensity threshold value, the network signal intensity of each adjacent cell is detected at regular time; selecting candidate cell from each adjacent cell according to the frequency band information of the current service cell, the frequency band information of each adjacent cell and the detected network signal strength of each adjacent cell; and selecting a resident cell according to the network signal strength of the current serving cell and the candidate cell. The invention autonomously detects the network signal intensity of the current cellular cell and preferentially resides in the optimal cell through the equipment, thereby improving the detection efficiency, saving the maintenance time and improving the internet experience of the user.
Description
Technical Field
The embodiment of the invention relates to the field of wireless communication, in particular to a wireless network autonomous optimization method, a wireless network autonomous optimization device, wireless network autonomous optimization equipment and a storage medium.
Background
A radio coverage area is typically served by a number of cells. Particularly, in the currently popular 4G radio access network technology, a radio coverage area usually has a plurality of cells overlapping coverage of the same frequency band, different frequency bands and different radio access technologies. However, sometimes, when the terminal resides in the area where the multiple signals overlap and acquires the network service, the terminal always occupies a poor cell to acquire the service due to problems such as improper network mobility parameter setting or missing of network neighboring cells, and the user can obviously perceive problems such as a webpage not opened, slow internet access, and unsmooth game playing when experiencing internet access service in such a situation.
The existing wireless network optimization is mainly performed manually by a wireless network engineer, after receiving a user optimization request, the wireless network engineer finds out the reasons influencing the network quality by means of telephone traffic data analysis, field test data acquisition, parameter analysis, hardware inspection and the like on the existing running network, and ensures that the system can run normally by modifying parameters, adjusting the network structure, adjusting the equipment configuration and adopting certain technical means.
However, manual optimization by a wireless network engineer is inefficient, and in most cases, problems cannot be found and solved in time, so that a user is in a cell with poor network quality for a long time, and the internet access efficiency is affected.
Disclosure of Invention
The embodiment of the invention provides a wireless network autonomous optimization method, a wireless network autonomous optimization device, a wireless network autonomous optimization equipment and a wireless network autonomous optimization storage medium, so that the current cellular cell network signal intensity is autonomously detected through a terminal, an optimal cell is preferentially resided, the detection efficiency is improved, the maintenance time is saved, and the internet surfing efficiency is improved.
In a first aspect, an embodiment of the present invention provides a method for autonomously optimizing a wireless network, where the method includes:
if the network signal intensity of the current service cell is lower than the network signal intensity threshold value, the network signal intensity of each adjacent cell is detected at regular time;
selecting candidate cell from each adjacent cell according to the frequency band information of the current service cell, the frequency band information of each adjacent cell and the detected network signal strength of each adjacent cell;
and selecting a resident cell according to the network signal strength of the current serving cell and the candidate cell.
In a second aspect, an embodiment of the present invention further provides an autonomous optimization apparatus for a wireless network, including:
the detection module is used for detecting the network signal strength of each adjacent cell at regular time if the network signal strength of the current service cell is lower than a network signal strength threshold value;
a candidate cell selection module, configured to select a candidate cell from the neighboring cells according to the frequency band information to which the current serving cell belongs, the frequency band information to which each neighboring cell belongs, and the detected network signal strength of each neighboring cell;
a resident cell selection module, configured to select a resident cell according to the network signal strengths of the current serving cell and the candidate cell.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method for autonomous optimization of a wireless network as described in any of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for autonomously optimizing a wireless network according to any of the embodiments of the present invention.
Drawings
Fig. 1 is a flowchart of a wireless network autonomous optimization method according to an embodiment of the present invention;
fig. 2 is a flowchart of a wireless network autonomous optimization method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an autonomous optimization apparatus for a wireless network according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an autonomous optimization device for a wireless network according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a wireless network autonomous optimization method according to an embodiment of the present invention, where the method is applicable to a situation where a network signal strength of a current serving cell where a user is located is poor, and the method may be executed by a wireless network autonomous optimization apparatus according to an embodiment of the present invention, where the apparatus may be integrated in a wireless router, a mobile terminal (e.g., a mobile phone, a smart phone, a tablet computer), and a fixed terminal (e.g., a desktop computer or a notebook computer), as shown in fig. 1, the method may specifically include:
s101, if the network signal strength of the current service cell is lower than a network signal strength threshold value, the network signal strength of each adjacent cell is detected at regular time.
Wherein, the current serving cell refers to a serving cell in which a terminal or a router used by a user is currently located, and the network line number strength includes but is not limited to at least one of the following parameters: reference Signal Receiving Power (RSRP), Signal to Interference plus Noise Ratio (SINR), Received Signal Strength Indication (RSSI), and the like, wherein the network Signal Strength is obtained by a modem in the device, and the quality of the network quality of the current serving cell is analyzed according to the detected network Signal Strength of the current serving cell, and if the network Signal Strength of the current serving cell is higher than or equal to the network Signal Strength threshold value, the network quality of the current serving cell is considered to be good, and the current serving cell continues to reside in the current serving cell; if the network signal strength of the current serving cell is lower than the network signal strength threshold value, the network quality of the current serving cell is considered to be poor, and the optimal cell needs to be reselected for residing. For example, within 1 second, if the RSRP value obtained by the modem is-130 dbm and the threshold value set corresponding to the RSRP is-110 dbm, the network signal strength difference of the current serving cell is determined; or within 1 second, the SINR value obtained by the modem is-5 dbm, and the threshold value set corresponding to the SINR is-3 dbm, and then the network signal intensity difference of the current service cell is determined.
S102, selecting candidate cells from the adjacent cells according to the frequency band information of the current service cell, the frequency band information of the adjacent cells and the detected network signal strength of the adjacent cells.
The frequency band information comprises the frequency band bandwidth of the service cell, when the optimal cell needs to be reselected for residence, according to the similarity between the frequency band information of the current service cell and the frequency band information of each adjacent cell, the weighting coefficient of each adjacent cell is determined, the product of the weighting coefficient of each adjacent cell and the network signal strength of each adjacent cell is used as the network score of each adjacent cell, and the adjacent cell with the highest network score is used as the candidate cell. The specific candidate cell selection method may be predefined by a developer to a related terminal or a wireless router according to a user requirement, which is not limited in this embodiment.
S103, selecting a resident cell according to the network signal strength of the current service cell and the candidate cell.
And if the candidate cell is not the optimal cell, selecting to reside the candidate cell, and if the candidate cell does not meet the condition, selecting to continue to reside the current serving cell.
Specifically, a comparison threshold is preset, a difference between the acquired network signal strength of the candidate cell and the acquired network signal strength of the current serving cell is calculated, and if the difference is greater than the comparison threshold, the candidate cell is an optimal cell, for example: the preset comparison threshold value is 6dbm, the obtained RSRP value of the current service cell is-115 dbm, the obtained RSRP value of the candidate cell is-105 dbm, the difference value between the obtained RSRP value and the obtained RSRP value is 10dbm, and the obtained RSRP value and the obtained difference value are more than 6dbm, so that the current service cell is the optimal cell; if the difference is smaller than the threshold value of the difference, continuing to reside in the current serving cell, and performing a new round of candidate cell measurement according to a preset period to detect whether a candidate cell meeting the conditions exists, and if so, determining the new candidate cell as the optimal cell. After determining the new optimal cell, the modem in the device locally releases the current radio resource control connection and radio resource, selects the new optimal cell to camp on, and the non-access layer of the modem initiates service request recovery service in the new optimal cell.
According to the technical scheme of the embodiment of the invention, the network signal intensity of the current cellular cell is automatically detected by the equipment, the candidate cellular cell is selected by utilizing the priority thought, and finally the optimal cellular cell is determined by comparing the network signal intensity gain with the preset threshold value, so that the problem of low network efficiency due to manual optimization is solved, the detection efficiency is improved, the maintenance time is saved, and the internet access efficiency is improved.
Preferably, in order to optimize the wireless network according to the user requirement, a wireless network optimization macro switch may be further provided after the signal strength of the network of the current serving cell is detected and before the candidate cell is selected.
Specifically, when a wireless network optimization macro switch is turned on, a device defaults that a user needs a wireless network autonomous optimization function, and if the network quality of the current serving cell is detected to be poor, network optimization is automatically performed on the current serving cell, and a candidate cell is selected; when the wireless network optimization macro switch is turned off, in order to enable a user to timely know the current network state and select a candidate cell, when the network quality of the current serving cell is detected to be poor, the application processor displays a prompt box on a current display interface of the device, for example: "is the wireless network currently used of a user of a wireless network poor in quality, does the wireless network autonomous optimization function need to be turned on? "there are options of" yes "and" no "below the prompt box correspondingly, wherein the" yes "option is associated with the" wireless network autonomous optimization function "macro control switch, and carry on the next step; when the condition that the user clicks the 'no' option is detected, the prompt box is not called repeatedly before the equipment is disconnected, and the prompt box can be called again when the equipment searches for a new cell again after the equipment is disconnected. When detecting that the user clicks 'No' on the prompt box displayed for multiple times for more than 3 times, the prompt box is not called any more unless the user restarts the equipment.
According to the embodiment, the wireless network optimization macro switch is arranged, whether the wireless network optimization function is started or not is determined according to different scene requirements of a user, and the application scene of the terminal equipment is expanded.
Example two
Fig. 2 is a flowchart of a wireless network autonomous optimization method according to a second embodiment of the present invention, where the embodiment selects a candidate cell according to a weighting concept before selecting a camping cell according to network signal strengths of a current serving cell and the candidate cell based on the above embodiments. The embodiment can be executed by the wireless network autonomous optimization device provided by the embodiment of the invention. The method specifically comprises the following steps:
s201, if the frequencies of the adjacent cell and the current service cell are the same, the first coefficient is used as the coefficient of the adjacent cell.
Wherein, the neighboring cell with the same frequency as the current serving cell has the highest priority when selecting, and the first coefficient can be used as the weighting coefficient of the neighboring cell of the type.
S202, if the frequency bands of the adjacent cell and the current service cell are the same and the frequencies are different, the second coefficient is used as the weighting coefficient of the adjacent cell.
When the frequency of the neighboring cell is different from that of the current serving cell but in the same frequency band, the priority is the second highest, and the second coefficient may be used as the weighting coefficient of the neighboring cell of the type.
And S203, if the frequency bands and the frequencies between the adjacent cell and the current service cell are different, taking the third coefficient as the weighting coefficient of the adjacent cell.
Wherein, the neighboring cell which has a frequency different from that of the current serving cell and is not in the same frequency band has the lowest priority when selecting, and the third coefficient may be used as the weighting coefficient of the neighboring cell of the type.
Wherein the first coefficient is less than the second coefficient, the second coefficient is less than the third coefficient, and all three coefficients are greater than zero.
And S204, multiplying the network signal strength of each adjacent cell by the corresponding weighting coefficient to obtain a network score, wherein the cell with the highest network score is the candidate cell.
And multiplying the acquired network signal strength of each adjacent cell by the corresponding weighting coefficient to obtain the network scores of all the adjacent cells, performing descending order arrangement on the network scores, and selecting the adjacent cell with the highest corresponding network score as a candidate cell.
For example, the frequency of the current serving cell is 900MHz, and the frequency band is 880MHz to 915 MHz; the obtained RSRP value of the adjacent cell A is-100 dbm, the frequency is 900MHz, and the frequency band is 880 MHz-915 MHz; the RSRP value of the adjacent cell B is-90 dbm, the frequency is 910MHz, and the frequency band is 880 MHz-915 MHz; the RSRP value of the adjacent cell C is-80 dbm, the frequency is 845MHz, and the frequency band is 832 MHz-862 MHz. By assigning the first coefficient to a value of 2, the second coefficient to a value of 3, and the third coefficient to a value of 5, the network score of the neighboring cell a is: -100dbm 2 ═ 200 dbm; the network score of the neighboring cell B is: -90dbm x 3 ═ 270 dbm; the network score of the neighboring cell C is: -80dbm 5 ═ 400 dbm. The network scores obtained for the three neighboring cells will be ranked in order: 200dbm, -270dbm, -400dbm, so the network scores the neighboring cell a corresponding to-200 dbm as a candidate cell.
According to the technical scheme of the embodiment of the invention, before the resident cell is selected according to the network signal strength of the current serving cell and the candidate cell, different weighting coefficients are set according to the relation of the frequency information of the current serving cell, so that the cell with the same frequency as the current serving cell can be preferentially selected, and the communication quality in the network switching process is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a wireless network autonomous optimization apparatus according to a third embodiment of the present invention, where the wireless network autonomous optimization apparatus according to the third embodiment of the present invention can execute the wireless network autonomous optimization method according to any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 3, the specific structure of the device is as follows: a detection module 31, a candidate cell selection module 32, and a resident cell selection module 33;
the detecting module 31 is configured to detect the network signal strength of each neighboring cell at regular time if the network signal strength of the current serving cell is lower than a network signal strength threshold;
the candidate cell selection module 32 is configured to select a candidate cell from the neighboring cells according to the frequency band information to which the current serving cell belongs, the frequency band information to which each neighboring cell belongs, and the detected network signal strength of each neighboring cell;
the camped cell selecting module 33 is configured to select a camped cell according to network signal strengths of the current serving cell and the candidate cell.
On the basis of the foregoing embodiment, the candidate cell selection module 32 is specifically configured to determine the weighting coefficient of each neighboring cell according to the similarity between the frequency band information to which the current serving cell belongs and the frequency band information to which each neighboring cell belongs; taking the product of the weighting coefficient of each adjacent cell and the network signal strength of each adjacent cell as the network score of each adjacent cell; and taking the adjacent cell with the highest network score as the candidate cell.
On the basis of the foregoing embodiment, the candidate cell selection module 32 is further specifically configured to: if the frequencies of the adjacent cell and the current service cell are the same, taking the first coefficient as the weighting coefficient of the adjacent cell; if the frequency bands of the adjacent cell and the current service cell are the same and the frequencies are different, the second coefficient is used as the weighting coefficient of the adjacent cell; if the frequency bands and the frequencies between the adjacent cell and the current service cell are different, the third coefficient is used as the weighting coefficient of the adjacent cell; the weighting coefficients are all larger than zero, the first coefficient is smaller than the second coefficient, and the second coefficient is smaller than the third coefficient.
On the basis of the foregoing embodiment, the camped cell selecting module 33 is specifically configured to camp on the candidate cell if a difference between the network signal strength of the candidate cell and the network signal strength of the current serving cell is greater than the network signal strength threshold; otherwise, the current service cell is resided, and the network signal strength of each adjacent cell is redetected until a new resident candidate cell is determined according to the redetected network signal strength of each adjacent cell.
The wireless network autonomous optimization apparatus in the foregoing embodiments is used for executing the wireless network autonomous optimization method in the foregoing embodiments, and the technical principle and the generated technical effect are similar, which are not described herein again.
Example four
Fig. 4 is a schematic structural diagram of an autonomous optimization apparatus for a wireless network according to a fourth embodiment of the present invention, as shown in fig. 4, the autonomous optimization apparatus for a wireless network includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the device may be one or more, and one processor 40 is taken as an example in fig. 4; the processor 40, the memory 41, the input means 42 and the output means 43 in the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.
The memory 41 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the wireless network autonomous optimization method in the embodiment of the present invention (for example, the detection module 31, the candidate cell selection module 32, and the camped cell selection module 33 in the wireless network autonomous optimization apparatus). The processor 40 executes various functional applications and data processing of the wireless network autonomous optimization apparatus by executing software programs, instructions and modules stored in the memory 41, that is, implements the wireless network autonomous optimization method of any of the above embodiments.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the wireless network autonomous optimization device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 may be used to receive network signals and the output device 43 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for autonomous optimization of a wireless network, the method including:
if the network signal intensity of the current service cell is lower than the network signal intensity threshold value, the network signal intensity of each adjacent cell is detected at regular time;
selecting candidate cell from each adjacent cell according to the frequency band information of the current service cell, the frequency band information of each adjacent cell and the detected network signal intensity of each adjacent cell;
and selecting the resident cell according to the network signal strength of the current service cell and the candidate cell.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the above method operations, and may also perform related operations in the wireless network autonomous optimization method provided by any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods of the embodiments of the present invention.
It should be noted that, in the embodiment of the autonomous wireless network optimization apparatus, each included unit and module are only divided according to functional logic, but are not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A method for autonomous optimization of a wireless network, the method comprising:
if the network signal intensity of the current service cell is lower than the network signal intensity threshold value, the network signal intensity of each adjacent cell is detected at regular time;
selecting candidate cell from each adjacent cell according to the frequency band information of the current service cell, the frequency band information of each adjacent cell and the detected network signal strength of each adjacent cell;
selecting a resident cell according to the network signal strength of the current serving cell and the candidate cell;
the selecting a candidate cell from each neighboring cell according to the frequency band information of the current serving cell, the frequency band information of each neighboring cell, and the detected network signal strength of each neighboring cell includes:
determining the weighting coefficient of each adjacent cell according to the similarity between the frequency band information of the current service cell and the frequency band information of each adjacent cell;
taking the product of the weighting coefficient of each adjacent cell and the network signal strength of each adjacent cell as the network score of each adjacent cell;
and taking the adjacent cell with the highest network score as the candidate cell.
2. The method of claim 1, wherein the determining the weighting factor of each neighboring cell according to the similarity between the frequency band information of each neighboring cell and the frequency band information of the current serving cell comprises:
if the frequencies of the adjacent cell and the current service cell are the same, taking the first coefficient as the weighting coefficient of the adjacent cell;
if the frequency bands of the adjacent cell and the current service cell are the same and the frequencies are different, the second coefficient is used as the weighting coefficient of the adjacent cell;
if the frequency bands and the frequencies between the adjacent cell and the current service cell are different, the third coefficient is used as the weighting coefficient of the adjacent cell;
wherein the weighting coefficients are all greater than zero, and the first coefficient is less than the second coefficient, which is less than the third coefficient.
3. The method of claim 1, wherein the selecting a camping cell according to the network signal strengths of the current serving cell and the candidate cell comprises:
if the difference between the network signal strength of the candidate cell and the network signal strength of the current serving cell is greater than the network signal strength threshold, the candidate cell is resided; otherwise, the current service cell is resided, and the network signal strength of each adjacent cell is redetected until a new resident candidate cell is determined according to the redetected network signal strength of each adjacent cell.
4. An apparatus for autonomous optimization of a wireless network, comprising:
the detection module is used for detecting the network signal strength of each adjacent cell at regular time if the network signal strength of the current service cell is lower than a network signal strength threshold value;
a candidate cell selection module, configured to select a candidate cell from the neighboring cells according to the frequency band information to which the current serving cell belongs, the frequency band information to which each neighboring cell belongs, and the detected network signal strength of each neighboring cell;
a camped cell selection module, configured to select a camped cell according to network signal strengths of the current serving cell and the candidate cell;
the candidate cell selection module is specifically configured to:
determining the weighting coefficient of each adjacent cell according to the similarity between the frequency band information of the current service cell and the frequency band information of each adjacent cell;
taking the product of the weighting coefficient of each adjacent cell and the network signal strength of each adjacent cell as the network score of each adjacent cell;
and taking the adjacent cell with the highest network score as the candidate cell.
5. The apparatus of claim 4, wherein the candidate cell selection module is further specifically configured to:
if the frequencies of the adjacent cell and the current service cell are the same, taking the first coefficient as the weighting coefficient of the adjacent cell;
if the frequency bands of the adjacent cell and the current service cell are the same and the frequencies are different, the second coefficient is used as the weighting coefficient of the adjacent cell;
if the frequency bands and the frequencies between the adjacent cell and the current service cell are different, the third coefficient is used as the weighting coefficient of the adjacent cell;
wherein the first coefficient is less than the second coefficient, which is less than the third coefficient.
6. The apparatus of claim 4, wherein the camped cell selection module is specifically configured to:
if the difference between the network signal strength of the candidate cell and the network signal strength of the current serving cell is greater than the network signal strength threshold, the candidate cell is resided; otherwise, the current service cell is resided, and the network signal strength of each adjacent cell is redetected until a new resident candidate cell is determined according to the redetected network signal strength of each adjacent cell.
7. An apparatus, characterized in that the apparatus comprises:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method for autonomous optimization of a wireless network of any of claims 1-3.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method for autonomous optimization of a wireless network according to any one of claims 1 to 3.
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| CN109121149B (en) * | 2018-09-29 | 2021-12-28 | 闻泰通讯股份有限公司 | Wireless network autonomous optimization method, device, equipment and storage medium |
| CN111432445B (en) * | 2020-04-02 | 2022-07-12 | 闻泰通讯股份有限公司 | Network cell selection method, device, mobile terminal and storage medium |
| CN113473502B (en) * | 2020-08-27 | 2024-02-02 | 几维通信技术(深圳)有限公司 | Terminal equipment, processing system and optimization method for automatic network optimization |
| CN112637801B (en) * | 2020-12-11 | 2023-05-23 | 深圳市汇顶科技股份有限公司 | Cell residence method, terminal and computer readable storage medium |
| CN114363945A (en) * | 2021-12-22 | 2022-04-15 | 苏州迈科网络安全技术股份有限公司 | Wifi quality score calculation method, device, terminal and storage medium based on network topology |
| CN114390563A (en) * | 2021-12-30 | 2022-04-22 | 中国电信股份有限公司 | 5G cell residence capacity evaluation method and device and electronic equipment |
| CN114867075A (en) * | 2022-06-09 | 2022-08-05 | 西安紫光展锐科技有限公司 | Wireless network switching method, device, equipment, storage medium and product |
| CN116614187B (en) * | 2023-07-05 | 2024-01-26 | 广州市梦享网络技术有限公司 | Signal strength determining method, device, equipment and storage medium |
| CN117412315B (en) * | 2023-12-12 | 2024-03-15 | 深圳通诚无限科技有限公司 | Wireless communication network data optimization method based on data analysis |
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| CN109121149B (en) * | 2018-09-29 | 2021-12-28 | 闻泰通讯股份有限公司 | Wireless network autonomous optimization method, device, equipment and storage medium |
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| CN1518367A (en) * | 2003-01-14 | 2004-08-04 | 华为技术有限公司 | Multi-band small range selection method |
| CN101854690A (en) * | 2009-03-31 | 2010-10-06 | 北京三星通信技术研究有限公司 | Cell reselection method and dual-mode terminal thereof |
| WO2017166951A1 (en) * | 2016-03-29 | 2017-10-05 | 努比亚技术有限公司 | Network reselection control method and device of mobile terminal, and computer storage medium |
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