CN112969219A

CN112969219A - Network searching processing method, device, equipment, storage medium and program product

Info

Publication number: CN112969219A
Application number: CN202110170547.6A
Authority: CN
Inventors: 石书开
Original assignee: Beijing Ziguang Zhanrui Communication Technology Co Ltd
Current assignee: Beijing Ziguang Zhanrui Communication Technology Co Ltd
Priority date: 2021-02-08
Filing date: 2021-02-08
Publication date: 2021-06-15
Anticipated expiration: 2041-02-08
Also published as: CN112969219B

Abstract

An embodiment of the application provides a network searching processing method, a device, equipment, a storage medium and a program product, wherein the method comprises the following steps: after a terminal device is started, acquiring M frequency points, wherein M is an integer greater than or equal to 2; measuring reference signals corresponding to target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points, wherein the target identification is the identification of a cell with the largest signal quality in at least one cell identification corresponding to the frequency points; determining a first frequency point sequence according to the signal quality of the reference signal corresponding to each of the M frequency points; and searching the network according to the first frequency point sequence. The method is used for improving the data transmission efficiency of the terminal equipment.

Description

Network searching processing method, device, equipment, storage medium and program product

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a network searching method, an apparatus, a device, a storage medium, and a program product.

Background

At present, before a terminal device is powered off, a plurality of frequency points which are resided or measured and signal intensity corresponding to each frequency point are usually saved.

In the prior art, after a terminal device is powered on, a plurality of frequency points are sequenced according to a sequence from large to small of signal intensity corresponding to each frequency point stored before the terminal device is powered off, so as to obtain a network searching frequency point sequence; and carrying out network searching processing according to the network searching frequency point sequence. In the network searching process, if the terminal equipment determines that a cell corresponding to a frequency point meets the S criterion, the terminal equipment immediately resides in the cell and performs data transmission in the cell.

In the above prior art, there may be a problem that the signal strength corresponding to the cell in which the terminal device resides is weakened, which results in low data transmission efficiency of the terminal device.

Disclosure of Invention

The embodiment of the application provides a network searching processing method, a network searching processing device, network searching equipment, a storage medium and a program product. The method is used for improving the data transmission efficiency of the terminal equipment.

In a first aspect, an embodiment of the present application provides a network searching processing method, including:

acquiring M frequency points after terminal equipment is started; m is an integer greater than or equal to 2;

measuring reference signals corresponding to target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points, wherein the target identification is the identification of a cell with the largest signal quality in at least one cell identification corresponding to the frequency points;

determining a first frequency point sequence according to the signal quality of the reference signal corresponding to each of the M frequency points;

and searching the network according to the first frequency point sequence.

In one possible design, obtaining M frequency points includes:

carrying out cell search on the N frequency points to obtain at least one cell identifier corresponding to each of the N frequency points; n frequency points are stored before the terminal equipment is started, and N is an integer greater than or equal to M;

determining the signal quality corresponding to the target identifier corresponding to each of the N frequency points according to at least one cell identifier corresponding to each of the N frequency points;

sequencing the N frequency points according to the sequence of the signal quality corresponding to the target identification corresponding to each of the N frequency points from large to small to obtain a second frequency point sequence;

and determining the first M frequency points in the second frequency point sequence as M frequency points.

In one possible design, determining signal quality corresponding to a target identifier corresponding to each of N frequency points according to at least one cell identifier corresponding to each of the N frequency points includes:

aiming at each frequency point in the N frequency points, measuring a synchronous signal corresponding to each cell identifier in at least one cell identifier corresponding to the frequency point to obtain the signal quality corresponding to each cell identifier;

determining a target identifier in at least one cell identifier according to the signal quality corresponding to each cell identifier;

and determining the signal quality corresponding to the target identifier as the signal quality of the target identifier corresponding to the frequency point.

In a possible design, measuring a synchronization signal corresponding to each cell identifier in at least one cell identifier corresponding to a frequency point to obtain signal quality corresponding to each cell identifier, includes:

receiving data on a frequency point, wherein the data comprises a synchronous signal corresponding to each cell identifier;

generating local synchronization signals corresponding to at least one cell identifier;

respectively determining a local synchronizing signal corresponding to each cell identifier and a correlation value of the synchronizing signal;

and respectively carrying out normalization processing on the correlation value corresponding to each cell identifier to obtain the signal quality corresponding to at least one cell identifier.

In one possible design, determining a first frequency point sequence according to the signal quality corresponding to each of the M frequency points includes:

and sequencing the M frequency points according to the sequence of the signal quality corresponding to the M frequency points from large to small to obtain a first frequency point sequence.

sequencing the M frequency points according to the sequence of the signal quality of the reference signals corresponding to the M frequency points from large to small to obtain a first subsequence;

determining other frequency points except the M frequency points in the second frequency point sequence and the arrangement sequence of other frequency points as a second subsequence;

and combining the first subsequence and the second subsequence to obtain a first frequency point sequence.

In one possible design, measuring reference signals corresponding to target identifiers corresponding to M frequency points, to obtain signal quality of the reference signals corresponding to the M frequency points, includes:

and aiming at each frequency point in the M frequency points, measuring the receiving power of the reference signal corresponding to the target identifier corresponding to the frequency point to obtain the signal quality of the reference signal corresponding to the frequency point.

In a second aspect, an embodiment of the present application provides a network searching processing apparatus, including: the system comprises an acquisition module, a measurement module, a determination module and a network searching module; wherein,

the acquisition module is used for acquiring M frequency points after the terminal equipment is started, wherein M is an integer greater than or equal to 2

The measuring module is used for measuring the reference signals corresponding to the target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points, and the target identification is the identification of the cell with the largest signal quality in at least one cell identification corresponding to the frequency points;

the determining module is used for determining a first frequency point sequence according to the signal quality of the reference signal corresponding to each of the M frequency points;

and the network searching module is used for performing network searching processing according to the first frequency point sequence.

In one possible design, the obtaining module is specifically configured to:

In one possible design, the determining module is specifically configured to:

In one possible design, the measurement module is specifically configured to:

In a third aspect, an embodiment of the present application provides a terminal device, including: a processor and a memory;

the memory stores computer-executable instructions;

the processor executes the computer-executable instructions stored by the memory, so that the processor executes the network searching processing method in any one of the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when the processor executes the computer executing instruction, the network searching processing method in any one of the first aspect is implemented.

In a fifth aspect, an embodiment of the present application provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the network searching processing method in any one of the first aspect is implemented.

The embodiment of the application provides a network searching processing method, a network searching processing device, network searching equipment, a storage medium and a program product. In the network searching processing method, after a terminal device is started, reference signals corresponding to target identifications corresponding to M frequency points are measured to obtain signal quality of the reference signals corresponding to the M frequency points, a first frequency point sequence is determined according to the signal quality of the reference signals corresponding to the M frequency points, and then network searching processing is performed according to the first frequency point sequence, so that the data transmission efficiency of the terminal device can be improved, and the problem that the data transmission efficiency of the terminal device is low due to weakened signal strength of a cell where the terminal device resides at once is solved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to the drawings without inventive exercise.

Fig. 1 is a first flowchart illustrating a network searching processing method according to an embodiment of the present application;

fig. 2 is a flowchart illustrating a second network searching processing method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of a process of obtaining signal quality of synchronization signals corresponding to N frequency points according to an embodiment of the present application;

fig. 4 is a schematic flowchart of a process of obtaining signal quality of reference signals corresponding to M frequency points according to an embodiment of the present application;

fig. 5 is a schematic flowchart of a method for performing network searching processing by a physical layer according to an embodiment of the present application;

fig. 6 is a timing diagram illustrating a physical layer obtaining a first frequency point sequence according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a network searching processing apparatus according to an embodiment of the present application;

fig. 8 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In the prior art, after a terminal device is turned on, network searching processing is performed according to a network searching frequency point sequence. The network searching frequency point sequence is obtained by sequencing a plurality of frequency points according to the sequence of the signal intensity corresponding to the plurality of frequency points stored before the shutdown from large to small by the terminal equipment. In practical application, if the terminal device moves or the surrounding environment where the terminal device is located changes, the arrangement sequence of the multiple frequency points in the network searching frequency point sequence cannot reflect the real arrangement sequence of the multiple frequency points after the terminal device moves or the surrounding environment changes. If the network searching processing is still performed according to the network searching frequency point sequence, there may be a problem that the received power and the signal quality of the cell where the terminal device resides immediately meet the S criterion, but the signal strength of the cell where the terminal device resides immediately becomes weak, resulting in low data transmission efficiency of the terminal device.

In order to avoid the problem that the signal strength of a cell where the terminal device resides is weakened and the data transmission efficiency of the terminal device is low, in the application, the inventor thinks that after the terminal device is started, the signal quality corresponding to a plurality of frequency points is measured again, the frequency points are sequenced according to the sequence of the signal quality corresponding to the frequency points which are measured again from large to small, and then network searching processing is performed according to the frequency points which are sequenced again, so that the problem that the signal strength of the cell where the terminal device resides is weakened and the data transmission efficiency of the terminal device is low is avoided.

The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.

Fig. 1 is a first flowchart of a network searching processing method according to an embodiment of the present application. As shown in fig. 1, the network searching processing method provided in this embodiment includes:

s101, after the terminal equipment is started, M frequency points are obtained, wherein M is an integer greater than or equal to 2.

The execution main body of the embodiment of the application can be terminal equipment, and can also be a network searching processing device arranged in the terminal equipment. Wherein, the network searching processing device can be realized by the combination of software and/or hardware. For example, when the network searching processing device is implemented by software, the network searching processing device may be a section of code stored in a storage area in a chip, and when a processor of the chip executes the section of code, the steps in the embodiment of the method of the present application are implemented. For example, when the network searching processing device is implemented by hardware, the network searching processing device may be, for example, a chip or a chip module, and each module in the network searching processing device may include a hardware module such as the chip or the chip module. When the network searching processing device works, the steps in the embodiment of the method can be executed. For example, when the network searching processing device is implemented by combining with hardware, each module of the network searching processing device includes hardware such as a chip, a chip module, and the like, and a segment of code stored in the chip, and when the chip and the chip module work, the code is executed to implement the steps in the embodiment of the method.

The terminal device is a device with wireless transceiving function. The terminal equipment may also be fixed or mobile. When the terminal device is fixed, the terminal device may be a wireless terminal device in transportation safety (transportation safety), a wireless terminal device in smart city (smart city), or the like. When the terminal device is mobile, the terminal device may be a mobile phone (mobile phone), a tablet computer (Pad), a computer with a wireless transceiving function, and the like.

The terminal device is powered on after being powered off and powered off, or is in soft start in a powered on state.

The M frequency points may be all frequency points that the terminal device has resided or measured before the terminal device is turned off.

S102, measuring reference signals corresponding to target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points, wherein the target identification is the identification of a cell with the largest signal quality in at least one cell identification corresponding to the frequency points.

Because the M frequency points have at least one cell corresponding to each other, and each cell has a cell identifier corresponding to each other, the M frequency points have at least one cell identifier corresponding to each other. Before the terminal equipment is powered off, the signal quality corresponding to at least one cell identifier corresponding to each of the M frequency points is stored. For any frequency point in the M frequency points, for example, when the frequency point corresponds to L cell identifiers, a target identifier corresponding to the frequency point corresponds to an identifier corresponding to the maximum signal quality in the L cell identifiers.

The Reference Signal is a Cell Reference Signal (CRS). The Signal Quality of the Reference Signal may be Reference Signal Receiving Power (RSRP), Signal Receiving Quality (RSRQ), Signal to Noise Ratio (SNR), or the like.

Optionally, for each frequency point in the M frequency points, the signal quality of the reference signal corresponding to the frequency point may be obtained in 3 feasible manners as follows.

In the mode 1, the receiving power of the reference signal corresponding to the target identifier corresponding to the frequency point is measured, and the signal quality of the reference signal corresponding to the frequency point is obtained. The signal quality of the reference signal is here RSRP.

And 2, measuring the receiving quality of the reference signal corresponding to the target identifier corresponding to the frequency point to obtain the signal quality of the reference signal corresponding to the frequency point. The signal quality of the reference signal here is RSRQ.

And 3, measuring the signal-to-noise ratio of the reference signal corresponding to the target identifier corresponding to the frequency point to obtain the signal quality of the reference signal corresponding to the frequency point. The signal quality of the reference signal is here the SNR.

S103, determining a first frequency point sequence according to the signal quality of the reference signals corresponding to the M frequency points.

Optionally, the M frequency points are sequenced in the descending order of the signal quality corresponding to the M frequency points, so as to obtain a first frequency point sequence.

For example, when the signal quality of the reference signal is RSRP and M is 5, if the signal quality of the reference signal corresponding to 5 bins (e.g., f 0-f 4) is-126 (unit: db mw/15 KHz, dBm/15KHz), -55(dBm/15KHz), -130(dBm/15KHz), -75(dBm/15KHz), -135(dBm/15KHz), respectively, the first bin sequence obtained is [ f1, f3, f0, f2, f4 ].

And S104, performing network searching processing according to the first frequency point sequence.

Optionally, the network searching processing is performed in sequence according to the sequencing order of the M frequency points in the first frequency point sequence.

For example, when the first frequency point sequence is [ f1, f3, f0, f2, f4], in the process of performing the network searching processing, the network searching processing is performed according to f1, if the received power and the signal quality of the cell (corresponding to the cell identifier) corresponding to f1 do not satisfy the S criterion, the network searching processing is performed according to f2, and if the received power and the signal quality of the cell (corresponding to the cell identifier) corresponding to f2 satisfy the S criterion, the mobile terminal camps in the cell corresponding to f2 and performs data transmission in the cell corresponding to f 2.

Different from the prior art, in the prior art, the network searching frequency point sequence is obtained by sequencing a plurality of frequency points according to a sequence of signal strengths corresponding to the plurality of frequency points stored before the terminal is turned off, so that a cell where the terminal device resides at once is not a most suitable cell (although the receiving power and the signal quality of the cell meet the S criterion, the signal strength of the cell may be weakened), and the data transmission efficiency of the terminal device is low. In the application, the first frequency point sequence is obtained by measuring the reference signals corresponding to the target identifiers corresponding to the M frequency points after the terminal device is powered on, so that a cell where the terminal device resides at once can be ensured to be the most appropriate cell, and the data transmission efficiency of the terminal device is improved.

Different from the prior art, in the prior art, after the terminal device is powered on, the terminal device obtains a pre-stored Received Signal Strength Indicator (RSSI) corresponding to a plurality of frequency points, sorts the plurality of frequency points according to the sequence of the RSSI corresponding to the plurality of frequency points from large to small to obtain a network searching frequency point sequence, and further performs network searching processing according to the network searching frequency point sequence, because the RSSI is the average power of all signals (including pilot signals and data signals, adjacent cell interference signals, noise signals and the like) Received in a certain symbol, a cell corresponding to a previous frequency point may be a cell which is greatly interfered by an adjacent cell and/or has a small SNR, a cell where the terminal device resides immediately may be a cell which is greatly interfered by an adjacent cell and/or has a small SNR, when the capability of the terminal device is poor in interference resistance, if the terminal device resides in the cell, resulting in a lower data transmission rate of the terminal device and a reduced user experience. In the application, after the terminal device is powered on, the reference signals corresponding to the target identifiers corresponding to the M frequency points are measured to obtain the signal quality of the reference signals corresponding to the M frequency points, and when the signal quality of the reference signals is RSRP, since RSRP is an average value of signal power received on all Resource Elements (REs) bearing the reference signals in a certain symbol, in a first frequency point sequence, a cell corresponding to the target identifier corresponding to the frequency point arranged in front cannot be a cell with large interference and/or small SNR from an adjacent cell, so that when the anti-interference capability of the terminal device is poor, it can be ensured that the data transmission rate of the terminal device is high, and the user experience is improved.

In the network searching processing method provided in the embodiment of fig. 1, after the terminal device is turned on, the reference signals corresponding to the target identifiers corresponding to the M frequency points are measured to obtain the signal quality of the reference signals corresponding to the M frequency points, the first frequency point sequence is determined according to the signal quality of the reference signals corresponding to the M frequency points, and then network searching processing is performed according to the first frequency point sequence, so that the data transmission efficiency of the terminal device can be improved, and the problem that the data transmission efficiency of the terminal device is low due to the weakened signal strength of a cell where the terminal device resides at once is avoided. Further, in the present application, since the first frequency point sequence is obtained by measuring, after the terminal device is powered on, reference signals corresponding to target identifiers corresponding to the M frequency points, the actual effect of the first frequency point sequence can be ensured.

Based on the above embodiments, the network searching processing method provided by the present application is further described below with reference to fig. 2. Specifically, please refer to the embodiment in fig. 2.

Fig. 2 is a flowchart illustrating a second network searching processing method according to an embodiment of the present application. As shown in fig. 2, the method includes:

s201, carrying out cell search on the N frequency points to obtain at least one cell identifier corresponding to each of the N frequency points.

The N frequency points are frequency points (all frequency points that reside or have been measured) stored before the terminal device is powered on, and N is an integer greater than or equal to M.

The N frequency points are usually stored in a Protocol Stack (PS) of the terminal device. N may be 20, 30, etc.

It should be noted that, in the process of performing cell search on N frequency points, at least one cell identifier corresponding to each of J frequency points may be obtained, where J is a positive integer smaller than N.

S202, determining the signal quality corresponding to the target identifier corresponding to each of the N frequency points according to at least one cell identifier corresponding to each of the N frequency points.

Specifically, for any one of the N frequency points, determining the signal quality corresponding to the target identifier corresponding to the frequency point according to at least one cell identifier corresponding to the frequency point includes:

measuring a synchronization signal corresponding to each cell identifier in the at least one cell identifier to obtain signal quality corresponding to each cell identifier;

determining a target identifier in at least one cell identifier according to the signal quality corresponding to each cell identifier; the target identification is the cell identification with the maximum signal quality in at least one cell identification;

The synchronization Signal may be a Primary Synchronization Signal (PSS) or a Secondary Synchronization Signal (SSS). For example, when the synchronization signal is the PSS, the PSS corresponding to each cell identifier in the at least one cell identifier is measured to obtain the signal quality corresponding to each cell identifier. For example, when the synchronization signal is an SSS, the SSS corresponding to each cell identifier in the at least one cell identifier is measured, so as to obtain the signal quality corresponding to each cell identifier.

For any one of the at least one cell id, the signal quality corresponding to the cell id may be obtained by the following feasible 3 methods.

Mode 1, receiving a synchronization signal corresponding to a cell identifier;

and measuring the signal-to-noise ratio of the synchronization signal corresponding to the cell identifier to obtain the signal quality corresponding to the cell identifier.

Mode 2, receiving a synchronization signal corresponding to a cell identifier; generating a local synchronization signal corresponding to the cell identifier;

and determining a correlation value of the synchronization signal corresponding to the cell identifier and the local synchronization signal, and determining the correlation value as the signal quality corresponding to the cell identifier.

Mode 3, receiving a synchronization signal corresponding to a cell identifier; generating a local synchronization signal corresponding to the cell identifier;

determining a correlation value of a local synchronization signal and a synchronization signal;

and carrying out normalization processing on the correlation value to obtain the signal quality corresponding to the cell identifier.

S203, sequencing the N frequency points according to the sequence from large to small of the signal quality corresponding to the target identification corresponding to the N frequency points to obtain a second frequency point sequence.

And S204, determining the first M frequency points in the second frequency point sequence as M frequency points.

For example, when N is 6 (that is, f0 to f5 is included) and M is 4, if the second frequency bin sequence is [ f1, f2, f0, f4, f3, f5], the first M frequency bins are f1, f2, f0, f4, and the M frequency bins are f1, f2, f0, f 4.

S205, obtaining M frequency points and target identifications corresponding to the M frequency points.

S206, measuring the reference signals corresponding to the target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points.

Specifically, the execution method of S206 is the same as the execution method of S102, and is not described here again.

S207, sequencing the M frequency points according to the sequence of the signal quality of the reference signals corresponding to the M frequency points from large to small to obtain a first subsequence.

For example, on the basis of S204, the first subsequence is [ f2, f1, f0, f4 ].

And S208, determining the arrangement sequence of other frequency points except the M frequency points and other frequency points in the second frequency point sequence as a second subsequence.

For example, on the basis of S204, the second subsequence is [ f3, f5 ].

S209, combining the first subsequence and the second subsequence to obtain a first frequency point sequence.

For example, on the basis of S208 and S209, the first frequency point sequence is [ first subsequence, second subsequence ], that is, the first frequency point sequence is [ f2, f1, f0, f4, f3, f5 ].

And S210, performing network searching processing according to the first frequency point sequence.

Optionally, after S209 or S210, the first frequency point sequence is stored in the protocol stack.

Specifically, the execution method of S210 is the same as the execution method of S104, and is not described here again.

In the network searching processing method provided in the embodiment of fig. 2, in the process of determining the signal quality corresponding to the target identifier corresponding to each of the N frequency points according to at least one cell identifier corresponding to each of the N frequency points, the target identifier is determined, so that the strongest cell corresponding to the frequency point is found, and when the signal quality corresponding to the target identifier corresponding to each of the N frequency points is a correlation value, it can be ensured that the cell corresponding to the previous frequency point in the second frequency point sequence is a cell with higher signal-to-noise ratio. Furthermore, the first frequency point sequence is determined according to the second frequency point sequence, when the signal quality of the reference signal is RSRP, the RSRP of the cell corresponding to the frequency point arranged in front in the first frequency point sequence can be ensured to be larger, so that the terminal equipment can be quickly resided in the most appropriate cell in the process of network searching according to the first frequency point sequence, the data transmission rate of the terminal equipment is further improved, and the user experience is improved.

Fig. 3 is a schematic flowchart of a process of obtaining signal quality corresponding to target identifiers corresponding to N frequency points according to an embodiment of the present application. As shown in fig. 3, the method includes:

s301, receiving data on the ith frequency point, wherein the data comprises a synchronization signal corresponding to each of at least one cell identifier corresponding to the ith frequency point.

Initially, i is 1, i is an integer greater than or equal to 1 and less than or equal to N.

S302, generating local synchronizing signals corresponding to at least one cell identifier corresponding to the ith frequency point.

And S303, respectively determining the local synchronization signal corresponding to each cell identifier and the correlation value of the synchronization signal.

S304, normalization processing is respectively carried out on the correlation value corresponding to each cell identification, and signal quality corresponding to at least one cell identification is obtained.

S305, determining the cell identifier corresponding to the maximum signal quality in the signal qualities corresponding to at least one cell identifier as the target identifier corresponding to the ith frequency point.

S306, acquiring the signal quality corresponding to the target identification, and determining the signal quality corresponding to the target identification as the signal quality corresponding to the target identification of the ith frequency point.

S307, judging whether i is larger than N.

If not, go to step S308, otherwise, go to step S309.

S308, adding 1 to i, and repeatedly executing S301 to S307.

And S309, ending, and obtaining the signal quality corresponding to the target identifier corresponding to each of the N frequency points.

And sequencing the N frequency points according to the sequence of the signal quality corresponding to the target identification corresponding to the N frequency points from large to small to obtain a second frequency point sequence.

In another possible design, the second frequency point sequence may also be obtained by the following method: s3060 may also be added after S306 and before S307.

S3060, sequencing the first i frequency points according to the sequence of the signal quality corresponding to the target identification corresponding to the first i frequency points from large to small to obtain a frequency point sequence comprising the first i frequency points. Further, if i is greater than N, a second frequency point sequence is obtained.

Fig. 4 is a schematic flowchart of a process of obtaining signal quality of reference signals corresponding to M frequency points according to an embodiment of the present application. As shown in fig. 4, the method includes:

s401, receiving a reference signal corresponding to a target identifier corresponding to a j frequency point.

Initially j is 1, j being an integer greater than or equal to 1 and less than or equal to M.

Optionally, frequency offsets corresponding to the M frequency bins may also be estimated.

Aiming at each frequency point in the M frequency points, according to the frequency deviation corresponding to the frequency point, carrying out frequency adjustment on the frequency point through a Voltage Controlled Oscillator (VCO) to obtain a target frequency corresponding to the frequency point; and receiving a reference signal corresponding to the target identifier corresponding to the j-th frequency point on the target frequency.

S402, measuring the power of the reference signal corresponding to the target identifier to obtain the signal quality of the reference signal corresponding to the target identifier.

And S403, determining the signal quality of the reference signal corresponding to the target identifier as the signal quality of the reference signal corresponding to the jth frequency point.

S404, judging whether j is larger than M.

If not, go to step S405, and if so, go to step S406.

S405, adding 1 to j, and repeatedly executing S401 to S404.

And S406, ending to obtain the signal quality of the reference signals corresponding to the M frequency points.

Optionally, the M frequency points are sequenced according to a sequence of the signal quality of the reference signals corresponding to the M frequency points from large to small, so as to obtain a first frequency point sequence.

In another possible design, the first frequency point sequence may also be obtained by: after 403, before S404, S4040 is added.

S4040, sequencing the first j frequency points according to the sequence of the signal quality of the reference signals corresponding to the first j frequency points from large to small to obtain a frequency point sequence comprising the first j frequency points. Further, if j is greater than M, ending to obtain the first frequency point sequence.

It should be noted that the network searching processing method provided by the present application may be executed by a physical layer. Wherein the physical layer comprises: a synchronization (synchronization) module and a measurement (measurement) module.

The following describes a process of executing the network searching processing method by the physical layer with reference to fig. 5, specifically, please refer to fig. 5.

Fig. 5 is a flowchart illustrating a method for performing network searching processing by a physical layer according to an embodiment of the present application. For example, on the basis of fig. 2, as shown in fig. 5, the method may include:

s501, the protocol stack sends N frequency points to a synchronization module through a Physical Abstraction Layer (PAL).

The N frequency points can form a third frequency point sequence, wherein the third frequency point sequence is obtained by sequencing the N frequency points according to the sequence from large to small of the measured signal intensity before the shutdown of the terminal equipment.

Optionally, the protocol stack sends a request message (RSSI _ SYNC _ REQ) to the physical abstraction layer, where the request message carries the N frequency points or the third frequency point sequence. And after receiving the request message, the physical abstraction layer sends the N frequency points or the third frequency point sequence to the synchronization module.

S502, the synchronization module performs cell search on the N frequency points to obtain at least one cell identifier corresponding to each of the N frequency points.

S503, the synchronization module sequences the N frequency points according to the sequence from large to small of the signal quality corresponding to the target identifier corresponding to each of the N frequency points, and a second frequency point sequence is obtained.

S504, the synchronization module determines the first M frequency points in the second frequency point sequence as M frequency points.

And S505, the synchronization module sends M frequency points to the measurement module.

S506, the measuring module measures the reference signals corresponding to the target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points.

S507, the measuring module sequences the M frequency points according to the sequence of the signal quality of the reference signals corresponding to the M frequency points from large to small to obtain a first subsequence.

Alternatively, the execution process of S505 to S507 described above may be replaced by S5051 to S5056 as follows. Specifically, S5051 to S5053 sequentially include the following method steps, respectively: s5051, the synchronization module sends M frequency points to a multi-bin Module (MTB) in the physical layer; s5052, the multi-bin module performs MIB (management information base) decoding, frequency offset estimation and frequency offset adjustment processing on the cell corresponding to each frequency point to obtain M target frequency points, and then sends the M target frequency points to the measuring module; s5053, measuring reference signals corresponding to target identifications corresponding to the M target frequency points by using a measuring module to obtain the signal quality of the reference signals corresponding to the M target frequency points; s5054, the measuring module sequences the M target frequency points according to the sequence of the signal quality of the reference signals corresponding to the M target frequency points from large to small, and a first subsequence is obtained.

S508, the measuring module sends the first subsequence to the synchronization module.

In a possible design, the measurement module may directly send the signal quality of the reference signal corresponding to each of the M frequency points to the synchronization module, so that the synchronization module sequences the M frequency points according to a descending order of the signal quality of the reference signal corresponding to each of the M frequency points, and obtains the first subsequence.

And S509, the synchronization module determines the arrangement sequence of other frequency points except the M frequency points and other frequency points in the second frequency point sequence as a second subsequence.

S510, the synchronization module combines the first subsequence and the second subsequence to obtain a first frequency point sequence.

And S511, the synchronization module carries out network searching processing according to the first frequency point sequence.

And S512, the synchronization module sends the first frequency point sequence to the protocol stack through the physical abstraction layer.

Specifically, the synchronization module sends the first frequency point sequence to the physical abstraction layer, and the physical abstraction layer sends a response message (RSSI _ SYNC _ CNF) to the protocol stack, where the response message carries the first frequency point sequence.

In one possible design, S512 may be performed before S511 is performed.

Fig. 6 is a timing diagram illustrating a physical layer obtaining a first frequency point sequence according to an embodiment of the present disclosure. As shown in fig. 6, in the process of obtaining the first frequency point sequence through the synchronization module and the measurement module in the physical layer, initially, the synchronization module receives synchronization signals corresponding to at least one cell identifier corresponding to f0 according to a first preset receiving duration (e.g., 5.33 ms). A first preset delay duration (e.g., 1ms) is provided between the start time of receiving the synchronization signal corresponding to each of the at least one cell identifier corresponding to f0 and the start time of the hardware processing, and the signal quality of the synchronization signal corresponding to each of the at least one cell identifier corresponding to f0 can be obtained at the end time of the hardware processing. The hardware processing start time is a start time for calculating the signal quality of the synchronization signal corresponding to each of the at least one cell identifier corresponding to f 0.

It should be noted that the hardware processing end time may be delayed until the synchronization module receives the synchronization signal corresponding to each of the at least one cell identifier corresponding to f 1. In order to increase the processing speed and save the first total processing time of the synchronization module, the hardware processing process of the synchronization signal corresponding to each of the at least one cell identifier corresponding to the previous frequency point and the receiving process of the synchronization signal corresponding to each of the at least one cell identifier corresponding to the next frequency point may be executed in parallel.

The synchronization module receives the start time of the synchronization signal corresponding to each of the at least one cell identifier corresponding to f0, and a first preset time duration (e.g., 7ms) is between the start times of the synchronization signals corresponding to each of the at least one cell identifier corresponding to f1 received by the synchronization module. When N is 20, the first total processing time length of the synchronization module is equal to 7N (140 msec, i.e., the product of the first preset time length and N).

And after the synchronization module obtains the second frequency point sequence, the measurement module starts to work.

And the measuring module measures the reference signals corresponding to the target identifications respectively corresponding to the first M frequency points in the second frequency point sequence. For example, the sequence of the first M frequency points is [ f1, f2, f0, f4], when starting, the measurement module receives a reference signal corresponding to the target identifier corresponding to f1 (the receiving duration of the reference signal is equal to the length of 1 subframe, where the 1 subframe may be, for example, subframe 0 or subframe 5) within a second preset duration (for example, within 5 milliseconds), and the information quality of the reference signal corresponding to the target identifier corresponding to f1, and then the measurement module performs the same operation on f2, f0, and f4 in sequence until the signal quality of the reference signal corresponding to the M frequency points is obtained. When M is 4, the second total processing duration of the measurement module is equal to 5M (20 ms, i.e., the product of the second preset duration and M).

Thus, the total time consumption for the first sequence of bins is equal to the sum of 7N and 5M (i.e., 160 ms). If the additional time delay required for software scheduling is added, for example, 50 ms, the total time consumption is equal to 210 ms, and the time consumption is short.

In another possible design, if the processing procedure of the multi-bin module is added, and the third total processing time duration of the multi-bin module is 10M (i.e. 40 ms), the total time consumption of the first frequency bin sequence is equal to the sum of 7N, 5M and 10M (i.e. 200 ms). Wherein 10 of the 10M represents the sum of the receiving duration of the multi-bin module to the subframe 0 of the radio frame, the duration of the MIB solution, the duration of the frequency offset estimation (frequency offset calculation is realized through the subframe 0), and the duration of the frequency offset adjustment. On the basis of the process of adding the multi-bin module, if additional time delay, for example, 50 milliseconds, is needed for adding software scheduling, the total time consumption is maximally equal to 250 milliseconds, and the time consumption is short.

Fig. 7 is a schematic structural diagram of a network searching processing apparatus according to an embodiment of the present application. As shown in fig. 7, the network searching processing apparatus 10 includes: the system comprises an acquisition module 101, a measurement module 102, a determination module 103 and a network searching module 104; wherein,

the obtaining module 101 is configured to obtain M frequency points and target identifiers corresponding to the M frequency points after the terminal device is powered on; the target identification is the identification of the cell with the largest signal quality in at least one cell identification corresponding to the frequency point, and M is an integer greater than or equal to 2

The measurement module 102 is configured to measure reference signals corresponding to target identifiers corresponding to the M frequency points, so as to obtain signal qualities of the reference signals corresponding to the M frequency points;

the determining module 103 is configured to determine a first frequency point sequence according to the signal quality of the reference signal corresponding to each of the M frequency points;

the network searching module 104 is configured to perform network searching processing according to the first frequency point sequence.

The network searching processing device provided in the embodiment of the present application can execute the technical solutions shown in the above method embodiments, and the implementation principles and beneficial effects thereof are similar and will not be described herein again.

In one possible design, the obtaining module 101 is specifically configured to:

receiving data on the frequency point, wherein the data comprises a synchronous signal corresponding to each of the at least one cell identifier;

and respectively carrying out normalization processing on the correlation value corresponding to each cell identifier to obtain the signal quality corresponding to each cell identifier.

In one possible design, the determining module 103 is specifically configured to:

In one possible design, the measurement module 102 is specifically configured to:

Fig. 8 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 8, the terminal device 20 includes: a processor 201 and a memory 202;

the processor 201 and the memory 202 are connected by a bus 203.

In a specific implementation process, the processor 201 executes computer execution instructions stored in the memory 202, so that the processor 201 executes the network searching processing method.

For a specific implementation process of the processor 201, reference may be made to the above method embodiments, which have similar implementation principles and technical effects, and details of this embodiment are not described herein again.

In the embodiment shown in fig. 8, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in the incorporated application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as disk storage.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

An embodiment of the present application further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the network searching processing method is implemented.

An embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the network searching processing method is implemented.

The computer-readable storage medium may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.

The division of the unit is only a logical division, and other division ways are possible in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A network searching processing method is characterized by comprising the following steps:

after a terminal device is started, acquiring M frequency points, wherein M is an integer greater than or equal to 2;

measuring reference signals corresponding to target identifications corresponding to M frequency points respectively to obtain the signal quality of the reference signals corresponding to the M frequency points respectively, wherein the target identification is the identification of a cell with the largest signal quality in at least one cell identification corresponding to the frequency points;

and searching the network according to the first frequency point sequence.

2. The method according to claim 1, wherein the obtaining M frequency points comprises:

carrying out cell search on the N frequency points to obtain at least one cell identifier corresponding to each of the N frequency points; the N frequency points are frequency points stored before the terminal equipment is started, and N is an integer greater than or equal to M;

sequencing the N frequency points according to the sequence of the signal quality corresponding to the target identification corresponding to the N frequency points from large to small to obtain a second frequency point sequence;

and determining the first M frequency points in the second frequency point sequence as the M frequency points.

3. The method according to claim 2, wherein the determining, according to at least one cell identifier corresponding to each of the N frequency points, signal quality corresponding to a target identifier corresponding to each of the N frequency points comprises:

aiming at each frequency point in N frequency points, measuring a synchronous signal corresponding to each cell identifier in at least one cell identifier corresponding to the frequency point to obtain the signal quality corresponding to each cell identifier;

determining a target identifier in the at least one cell identifier according to the signal quality corresponding to the at least one cell identifier;

4. The method according to claim 3, wherein the measuring the synchronization signal corresponding to each cell identifier in at least one cell identifier corresponding to the frequency point to obtain the signal quality corresponding to each cell identifier comprises:

receiving data on the frequency point, wherein the data comprises a synchronization signal corresponding to each of the at least one cell identifier;

generating local synchronization signals corresponding to the at least one cell identifier respectively;

5. The method according to claim 1, wherein the determining a first frequency point sequence according to the signal quality corresponding to each of the M frequency points comprises:

and sequencing the M frequency points according to the sequence of the signal quality corresponding to the M frequency points from large to small to obtain the first frequency point sequence.

6. The method according to claim 2, wherein the determining a first frequency point sequence according to the signal quality corresponding to each of the M frequency points comprises:

determining the arrangement sequence of other frequency points except the M frequency points and other frequency points in the second frequency point sequence as a second subsequence;

and combining the first subsequence and the second subsequence to obtain the first frequency point sequence.

7. The method according to any one of claims 1 to 6, wherein the measuring the reference signals corresponding to the target identifiers corresponding to the respective M frequency points to obtain the signal quality of the reference signals corresponding to the respective M frequency points comprises:

8. A network searching processing device is characterized by comprising: the system comprises an acquisition module, a measurement module, a determination module and a network searching module; wherein,

the acquisition module is used for acquiring the M frequency points and target identifications corresponding to the M frequency points after the terminal equipment is started; the target identification is the identification of the cell with the largest signal quality in at least one cell identification corresponding to the frequency point, and M is an integer greater than or equal to 2

The measuring module is used for measuring the reference signals corresponding to the target identifications corresponding to the M frequency points to obtain the signal quality of the reference signals corresponding to the M frequency points;

9. A terminal device, comprising: a processor and a memory;

the memory stores computer-executable instructions;

the processor executes the computer-executable instructions stored in the memory, so that the processor executes the network searching processing method according to any one of claims 1 to 7.

10. A computer-readable storage medium, wherein a computer-executable instruction is stored in the computer-readable storage medium, and when a processor executes the computer-executable instruction, the network searching processing method according to any one of claims 1 to 7 is implemented.

11. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the network searching processing method according to any one of claims 1 to 7.