CN110858975B

CN110858975B - Signal quality measurement method, device, medium and electronic equipment for main frequency points in adjacent regions

Info

Publication number: CN110858975B
Application number: CN201810968336.5A
Authority: CN
Inventors: 陈建军
Original assignee: Beijing Xiaomi Pinecone Electronic Co Ltd
Current assignee: Beijing Xiaomi Pinecone Electronic Co Ltd
Priority date: 2018-08-23
Filing date: 2018-08-23
Publication date: 2023-03-14
Anticipated expiration: 2038-08-23
Also published as: CN110858975A

Abstract

The disclosure relates to a method, a device, a medium and an electronic device for measuring signal quality of a main frequency point of a neighboring cell, wherein the method comprises the following steps: sampling a signal corresponding to the main frequency point of the adjacent region in the current measurement time; if the current measuring time is not determined according to the timing of the adjacent cell, determining a signal quality estimation value of the signal at the current measuring time according to the sampling point data; acquiring a signal quality filtering value of a signal at a last measuring time, and determining a filtering coefficient corresponding to the current measuring time according to a signal quality estimation value of the current measuring time and the signal quality filtering value at the last measuring time; and carrying out filtering processing on the signal quality estimation value of the signal at the current measuring time according to the signal quality filtering value at the last measuring time and the filtering coefficient corresponding to the current measuring time. Therefore, the phenomena of inconvenient scheduling and overlong sampling time can be avoided, the signal is accurately measured, the signal quality change of the cell to be measured is tracked, and the influence of strong same frequency interference on the measured value is effectively avoided.

Description

Signal quality measurement method, device, medium and electronic equipment for main frequency points in adjacent region

Technical Field

The present disclosure relates to the field of communications, and in particular, to a method, an apparatus, a medium, and an electronic device for measuring signal quality of a neighboring cell primary frequency point.

Background

In a Mobile Communication System, for example, a Communication System such as GSM (Global System for Mobile Communication), WCDMA (Wideband Code Division Multiple Access), LTE (Long Term Evolution), etc., it is often necessary to measure signal quality of neighboring cells. Therefore, when a terminal user moves, if the signal attenuation of the current service cell is caused by the channel attenuation in the current service cell due to environmental reasons, the signal quality of the adjacent cell can be measured, so that the adjacent cell with better signal quality is switched to when the signal of the current service cell is attenuated, and the service of the upper layer can normally run, for example, voice communication is not interrupted, and better user experience is maintained.

However, the neighboring cell to be measured may work in another frequency point or even another standard compared to the current serving cell. Because the signal of the neighboring cell does not exist in the sampling data in the current normal operating mode, the signal quality of the neighboring cell can be measured only in the gap when the service of the current serving cell is temporary or finished, wherein the gap is generally in the millisecond level. Moreover, when the number of neighboring cells to be measured is large, for example, when a voice call is performed in a GSM system, it is often necessary to measure and track the signal quality of neighboring cells at several tens of frequency points.

In the prior art, the following two methods are generally adopted for measuring the quality of the neighbor cell signal:

1. for the adjacent cells to be measured, the timing of each adjacent cell is determined through complete cell search. And then, sampling the signals of the adjacent regions based on the timing information of the adjacent regions, thereby performing channel estimation according to the sampled data and determining the signal quality of the adjacent regions according to the channel estimation value.

However, in this method, complete cell search is performed on all frequency points to be measured, and both time complexity and calculation complexity are too high.

In addition, if the main cell is currently in the service connection mode, data signal sampling can be performed on each frequency point to be measured only by time-taking scheduling in the service interval. Because the timing of each neighboring cell is asynchronous, if the signal sampling of each cell just covers the pilot frequency position, scheduling of all frequency points to be measured is more difficult, so that the time required for measuring all frequency points to be measured once is too long, and the change of the signal quality of all frequency points is difficult to track effectively.

2. When the signal quality of the adjacent region is measured, the signal of the adjacent region is directly sampled, and the Received Signal Strength Indicator (RSSI) is calculated according to the sampled data, and the signal quality is represented by the RSSI. In the measurement mode, the service frequency points of other adjacent cells may cause strong co-channel interference to the main frequency point of the adjacent cell, so that the measured signal quality estimated value is far higher than the actual signal quality.

Disclosure of Invention

The purpose of the present disclosure is to provide an accurate and real-time signal quality measurement method, apparatus, medium and electronic device for a neighboring cell main frequency point.

In order to achieve the above object, according to a first aspect of the present disclosure, a method for measuring signal quality of a neighboring primary frequency point is provided, where the method includes:

sampling a signal corresponding to the main frequency point of the adjacent region in the current measurement time;

if the current measuring time is not determined according to the timing of the adjacent cell, determining a signal quality estimation value of the signal at the current measuring time according to sampling point data;

acquiring a signal quality filtering value of the signal at the last measuring time, and determining a filtering coefficient corresponding to the current measuring time according to the signal quality estimation value of the current measuring time and the signal quality filtering value of the last measuring time;

and according to the signal quality filtering value of the last measuring time and the filtering coefficient corresponding to the current measuring time, carrying out filtering processing on the signal quality estimation value of the signal at the current measuring time so as to obtain the signal quality filtering value of the signal corresponding to the main frequency point of the neighboring cell at the current measuring time.

Optionally, the method further comprises:

and if the signal quality estimation value of the current measuring time is the first determined signal quality estimation value of the signal, determining a signal quality filtering value of the current measuring time according to the signal quality estimation value of the current measuring time and a preset signal quality range.

Optionally, the determining a signal quality filtered value of the current measurement time according to the signal quality estimated value of the current measurement time and a preset signal quality range includes:

when the signal quality estimated value of the current measuring time is larger than the upper limit value of the signal quality range, determining the upper limit value of the signal quality range as a signal quality filtering value of the current measuring time;

when the signal quality estimated value of the current measuring time is smaller than the lower limit value of the signal quality range, determining the lower limit value of the signal quality range as a signal quality filtering value of the current measuring time;

and when the signal quality estimated value of the current measuring time is less than or equal to the upper limit value of the signal quality range and greater than or equal to the lower limit value of the signal quality range, determining the signal quality estimated value of the current measuring time as a signal quality filtering value of the current measuring time.

Optionally, the determining, according to the signal quality estimated value of the current measurement time and the signal quality filtered value of the previous measurement time, a filter coefficient corresponding to the current measurement time includes:

determining a signal quality change value corresponding to the current measuring time, wherein the signal change value is a difference value obtained by subtracting a signal quality filtering value of the last measuring time from a signal quality estimation value of the current measuring time;

when the signal quality change value corresponding to the current measurement time is greater than a first threshold value, determining a first filter coefficient as the filter coefficient;

when the signal quality change value corresponding to the current measurement time is smaller than or equal to the first threshold and larger than a second threshold, determining a second filter coefficient as the filter coefficient;

when the signal quality change value corresponding to the current measurement time is smaller than or equal to the second threshold and larger than a third threshold, determining a third filter coefficient as the filter coefficient;

determining a fourth filter coefficient as the filter coefficient when the signal quality change value corresponding to the current measurement time is less than or equal to the third threshold and greater than a fourth threshold;

and when the signal quality change value corresponding to the current measurement time is smaller than or equal to the fourth threshold, determining a fifth filter coefficient as the filter coefficient, wherein the first threshold, the second threshold, the third threshold and the fourth threshold are sequentially reduced, and the numerical values of the first filter coefficient, the second filter coefficient, the third filter coefficient, the fourth filter coefficient and the fifth filter coefficient are sequentially reduced.

Optionally, the first threshold and the fourth threshold are opposite numbers, and the second threshold and the third threshold are opposite numbers.

Optionally, according to the signal quality filtered value at the last measurement time and the filter coefficient corresponding to the current measurement time, performing filtering processing on the signal quality estimated value of the signal at the current measurement time by using the following formula to obtain the signal quality filtered value of the signal at the current measurement time corresponding to the dominant frequency point of the neighboring cell:

RSSI _filter (t)＝α×RSSI _filter (t-1)+(1-α)×RSSI(t)

wherein the RSSI _filter (t) a signal quality filtered value representing the current measurement time;

alpha represents a filter coefficient corresponding to the current measuring time;

RSSI _filter (t-1) a signal quality filtered value representing the last measurement time;

RSSI (t) represents the signal quality estimate for the current measurement time.

Optionally, the method further comprises:

if the current measuring time is determined according to the timing of the adjacent cell, performing channel estimation on the sampling point data according to the pilot frequency sequence of the adjacent cell;

determining a signal quality estimation value of the signal at the current measurement time according to data obtained by channel estimation;

and filtering the signal quality estimation value of the signal at the current measurement time according to the sixth filter coefficient to obtain a signal quality filtering value of the signal corresponding to the neighboring cell dominant frequency point at the current measurement time.

According to a second aspect of the present disclosure, there is provided an apparatus for measuring signal quality of a neighboring cell primary frequency point, the apparatus including:

the sampling module is used for sampling a signal corresponding to the main frequency point of the adjacent region in the current measurement time;

a first determining module, configured to determine, according to sampling point data, a signal quality estimation value of the signal at the current measuring time when the current measuring time is not determined according to the timing of the neighboring cell;

the second determining module is used for acquiring a signal quality filtering value of the signal at the last measuring time and determining a filtering coefficient corresponding to the current measuring time according to the signal quality estimation value of the current measuring time and the signal quality filtering value of the last measuring time;

and the first filtering module is used for filtering the signal quality estimation value of the signal at the current measurement time according to the signal quality filtering value at the last measurement time and the filtering coefficient corresponding to the current measurement time so as to obtain the signal quality filtering value of the signal corresponding to the adjacent cell main frequency point at the current measurement time.

Optionally, the apparatus further comprises:

and the third determining module is used for determining a signal quality filtering value of the current measuring time according to the signal quality estimation value of the current measuring time and a preset signal quality range when the signal quality estimation value of the current measuring time is the first quality estimation value of the determined signal.

Optionally, the third determining module includes:

the first determining submodule is used for determining the upper limit value of the signal quality range as a signal quality filtering value of the current measuring time when the signal quality estimated value of the current measuring time is larger than the upper limit value of the signal quality range;

the second determining submodule is used for determining the lower limit value of the signal quality range as the signal quality filtering value of the current measuring time when the signal quality estimated value of the current measuring time is smaller than the lower limit value of the signal quality range;

and the third determining submodule is used for determining the signal quality estimated value of the current measuring time as the signal quality filtering value of the current measuring time when the signal quality estimated value of the current measuring time is less than or equal to the upper limit value of the signal quality range and is greater than or equal to the lower limit value of the signal quality range.

Optionally, the second determining module includes:

a fourth determining submodule, configured to determine a signal quality change value corresponding to the current measurement time, where the signal change value is a difference obtained by subtracting the signal quality filtering value of the previous measurement time from the signal quality estimation value of the current measurement time;

a fifth determining sub-module, configured to determine the first filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is greater than a first threshold;

a sixth determining submodule, configured to determine a second filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is smaller than or equal to the first threshold and larger than a second threshold;

a seventh determining sub-module, configured to determine a third filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is smaller than or equal to the second threshold and larger than a third threshold;

an eighth determining submodule, configured to determine a fourth filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is smaller than or equal to the third threshold and larger than a fourth threshold;

a ninth determining submodule, configured to determine a fifth filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is smaller than or equal to the fourth threshold, where the first threshold, the second threshold, the third threshold, and the fourth threshold decrease sequentially, and the values of the first filter coefficient, the second filter coefficient, the third filter coefficient, the fourth filter coefficient, and the fifth filter coefficient decrease sequentially.

Optionally, the first filtering module is configured to, according to the signal quality filtered value at the last measurement time and the filter coefficient corresponding to the current measurement time, perform filtering processing on the signal quality estimated value of the signal at the current measurement time through the following formula to obtain a signal quality filtered value of the signal at the current measurement time corresponding to the neighboring cell dominant frequency point:

RSSI _filter (t)＝α×RSSI _filter (t-1)+(1-α)×RSSI(t)

wherein, RSSI _filter (t) a signal quality filtered value representative of the current measurement time;

Optionally, the apparatus further comprises:

a channel estimation module, configured to perform channel estimation on the sampling point data according to the pilot sequence of the neighboring cell when the current measurement time is determined according to the timing of the neighboring cell;

a fourth determining module, configured to determine, according to data obtained by channel estimation, a signal quality estimation value of the signal at a current measurement time;

and the second filtering module is used for filtering the signal quality estimation value of the signal at the current measuring time according to a sixth filtering coefficient so as to obtain a signal quality filtering value of the signal corresponding to the main frequency point of the neighboring cell at the current measuring time.

According to a third aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods of the first aspect described above.

According to a fourth aspect of the present disclosure, there is provided an electronic apparatus comprising:

a memory having a computer program stored thereon;

a processor for executing the computer program in the memory to implement the steps of the method of any of the first aspects.

In the technical scheme, the signal corresponding to the dominant frequency point of the neighboring cell is directly sampled, and the signal quality estimation value of the signal at the current measuring time is determined according to the sampling point data, so that the filter coefficient corresponding to the current measuring time is determined according to the signal quality estimation value at the current measuring time and the signal quality filter value at the previous measuring time, and the signal quality estimation value at the current measuring time is filtered according to the filter coefficient corresponding to the current measuring time, so that the signal quality corresponding to the dominant frequency point in the current measuring time is accurately measured. By the technical scheme, the signal of the neighbor cell can be acquired simply and quickly, so that the phenomena of inconvenient scheduling and overlong sampling time in the prior art can be avoided, the signal is accurately measured, and the signal quality change of the cell to be measured is tracked; and strong same frequency signal interference generated by other adjacent regions can be effectively filtered, the phenomenon that the measured value is too high due to the strong same frequency interference in the prior art is avoided, and the accuracy of signal quality measurement of the main frequency point of the adjacent region is effectively ensured.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:

fig. 1 is a flowchart of a method for measuring signal quality of a neighboring cell primary frequency point according to an embodiment of the present disclosure;

fig. 2 is a graph of a signal quality measurement method for a neighboring cell main frequency point according to an embodiment of the present disclosure and a signal measurement of a neighboring cell main frequency point in the prior art;

fig. 3 is a block diagram of a device for measuring signal quality of a neighboring cell primary frequency point according to an embodiment of the present disclosure;

fig. 4 is a block diagram of a signal quality measurement apparatus of a neighboring cell primary frequency point according to another embodiment of the present disclosure;

FIG. 5 is a block diagram of an electronic device shown in accordance with an exemplary embodiment;

FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.

Detailed Description

The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.

As described in the background art, in a mobile communication system, a large amount of strong co-frequency interference exists between frequency point signals of each cell, for example, a main frequency point of a GSM cell is often a service frequency point of another adjacent GSM cell, so that when the main frequency point of the GSM cell is measured, data sent by the service frequency point of the adjacent GSM cell can be included in the sampled data, and in this case, if the RSSI corresponding to the sampled data characterizes the main frequency point signal quality of the GSM cell, the actual signal quality of the main frequency point of the GSM cell is less than the characterization quantity of the RSSI, and the signal quality of the GSM cell cannot be accurately represented. Therefore, when the serving cell of the user terminal is switched to the GSM cell, the actual signal quality of the primary frequency point of the GSM cell is poor, which may cause inconvenience to the user.

Therefore, the present disclosure provides a method for measuring signal quality of a neighboring cell master frequency point. Fig. 1 is a flowchart illustrating a method for measuring signal quality of a neighboring primary frequency point according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:

in S11, sampling a signal corresponding to the main frequency point of the adjacent region in the current measurement time;

in S12, if the current measurement time is not determined according to the timing of the neighboring cell, a signal quality estimation value of the signal at the current measurement time is determined according to the sampling point data.

After the sampling point data is obtained, the RSSI value is calculated according to the sampling point data, and the calculated RSSI value is determined as the signal quality estimation value of the signal at the current measuring time. The method of calculating the RSSI value according to the sampling point data is the prior art, and is not described herein again.

In S13, a signal quality filtered value of the signal at the last measurement time is obtained, and a filter coefficient corresponding to the current measurement time is determined according to the signal quality estimated value at the current measurement time and the signal quality filtered value at the last measurement time.

A current serving cell may correspond to multiple neighboring cells at the same time, where timing information of some neighboring cells is known, and for example, the timing information may be obtained by a terminal that previously resided in the cell or acquired according to an upper protocol stack; the timing information of some cells is unknown. For a cell for which timing information is known, its corresponding measurement time may be determined from its timing information. For a cell with unknown timing information, it is more complex and difficult to acquire the timing information of the cell, and at this time, the method provided by the present disclosure does not need to search and determine the timing of the neighboring cell, and can randomly determine the measurement time of the pilot cell and sample the signal corresponding to the main frequency point of the neighboring cell. Therefore, if the current measurement time is not determined according to the timing of the neighboring cell, the method provided in the disclosure can filter the signal quality estimation value of the signal at the current measurement time to effectively ensure the accuracy of the measurement result.

Specifically, an exemplary implementation manner of determining the filter coefficient corresponding to the current measurement time according to the signal quality estimation value of the current measurement time and the signal quality filtered value of the previous measurement time is as follows:

and determining a signal quality change value corresponding to the current measurement time, wherein the signal change value is a difference value obtained by subtracting the signal quality filtering value of the last measurement time from the signal quality estimation value of the current measurement time, and can be used for representing the change degree of the signal quality estimation value of the current measurement time compared with the signal quality filtering value of the last measurement time. And the signal quality filtering value of the last measuring time is obtained after filtering according to the sampling point data of the last measuring time.

When the signal quality change value corresponding to the current measurement time is larger than a first threshold value, determining a first filter coefficient as the filter coefficient;

determining a third filter coefficient as the filter coefficient when the signal quality change value corresponding to the current measurement time is less than or equal to the second threshold and greater than a third threshold;

when the signal quality change value corresponding to the current measurement time is less than or equal to the third threshold and greater than a fourth threshold, determining a fourth filter coefficient as the filter coefficient;

The first threshold, the second threshold, the third threshold and the fourth threshold can be obtained through experience or preliminary experiments. Optionally, the first threshold and the fourth threshold are opposite numbers, and the second threshold and the third threshold are opposite numbers.

According to theory and measurement, under the condition of no interference signal, when the signal quality estimated value corresponding to the main frequency point of the adjacent region is expressed by a signal intensity dB value, the signal quality estimated value basically follows normal distribution, namely, the true value of the signal quality can float around the theoretical value of the signal quality. Illustratively, when the difference between the measured signal quality estimated value and the theoretical value of the signal quality is larger, the influence caused by the external factor (such as strong co-channel interference) is more likely to be represented, and the influence caused by the fluctuation of the measured value of the signal itself is less likely to be represented. Moreover, because the signal quality estimation value corresponding to the neighboring main frequency point basically follows a distribution curve of log-normal distribution, when the energy of the signal quality estimation value at the current measurement time is greatly increased compared with the energy of the signal quality estimation value at the last measurement time, the possibility that the change of the measurement value is influenced by strong co-channel interference is high. However, when the signal strength is measured, because of the existence of strong co-channel interference, the measured value of the signal strength is only larger than the actual value, and therefore, if the energy of the signal quality estimated value at the current measurement time is greatly reduced compared with the energy of the signal quality estimated value at the previous measurement time, it is very unlikely that the measured value contains strong co-channel interference.

Therefore, by setting the first threshold and the fourth threshold as opposite numbers and the second threshold and the third threshold as opposite numbers, the determined thresholds can be in accordance with the actual fluctuation form of the signal measurement value and conform to the normal distribution curve, thereby effectively improving the accuracy of the measurement result. In addition, the signal quality estimated value of the current measuring time can be quickly and reasonably divided from the signal quality change value obtained by comparing the signal quality estimated value of the previous measuring time with the signal quality filtering value of the previous measuring time, so that the filtering coefficient corresponding to the current measuring time can be quickly determined. Illustratively, the first threshold, the second threshold, the third threshold, and the fourth threshold may be 6dB, 3dB, -6dB, respectively. Moreover, the numerical values of the first filter coefficient, the second filter coefficient, the third filter coefficient, the fourth filter coefficient and the fifth filter coefficient may also be obtained through experience or preliminary experiments.

Exemplarily, the signal quality change value corresponding to the current measurement time is Δ;

wherein Δ = RSSI (t) -RSSI _filter (t-1)

RSSI (t) represents a signal quality estimate for the current measurement time;

RSSI _filter (t-1) represents a signal quality filtered value of the last measurement time.

The signal corresponding to the main frequency point is transmitted with constant power, so that the signal quality is in a stable state when no strong co-frequency interference exists. However, when the mobile terminal is subjected to strong co-channel interference generated by service frequency points in other adjacent regions, the signal quality may jump.

In an embodiment, when Δ is greater than the first threshold by 6dB, it indicates that the signal quality estimated value at the current measurement time exceeds the signal quality filtered value at the last measurement time too much, which may indicate that the signal quality estimated value at the current measurement time includes a very high possibility of strong co-channel interference, and at this time, the first filter coefficient may be determined as the filter coefficient corresponding to the current measurement time, where a value of the first filter coefficient may be 0.97.

In another embodiment, when Δ is less than or equal to 6dB of the first threshold and greater than 3dB of the second threshold, it indicates that the signal quality estimation value at the current measurement time exceeds the signal quality filtered value at the last measurement time more, which may indicate that the signal quality estimation value at the current measurement time includes a higher possibility of strong co-channel interference, and at this time, the second filter coefficient may be determined as the filter coefficient corresponding to the current measurement time, where a value of the second filter coefficient may be 0.95.

In another embodiment, when Δ is less than or equal to the second threshold 3dB and greater than the third threshold-3 dB, at this time, a variation value between the signal quality estimation value at the current measurement time and the signal quality filtering value at the previous measurement time is small, and it is impossible to determine whether the signal quality estimation value at the current measurement time includes strong co-channel interference, the third filtering coefficient may be determined as the filtering coefficient corresponding to the current measurement time, where a value of the third filtering coefficient may be 0.92.

In another embodiment, when Δ is less than or equal to-3 dB of the third threshold and greater than-6 dB of the fourth threshold, the signal quality estimation value representing the current measurement time is reduced more than the signal quality filtering value of the last measurement time, and because strong co-channel interference exists, the signal quality estimation value of the current measurement time is increased, therefore, in this embodiment, when the signal quality estimation value of the current measurement time is reduced, the possibility that the signal quality estimation value representing the current measurement time does not contain strong co-channel interference is higher, at this time, the fourth filter coefficient may be determined as the filter coefficient corresponding to the current measurement time, where a value of the fourth filter coefficient may be 0.88.

In another embodiment, when Δ is less than or equal to-6 dB of the fourth threshold, it indicates that the signal quality estimation value at the current measurement time is reduced by a lot compared to the signal quality filtered value at the previous measurement time, which may indicate that the signal quality estimation value at the current measurement time does not include strong co-channel interference, and at this time, the fifth filter coefficient may be determined as the filter coefficient corresponding to the current measurement time, where a value of the fifth filter coefficient may be 0.83.

By the technical scheme, the filter coefficient corresponding to the current measuring time can be determined according to the signal quality estimated value of the current measuring time and the signal quality filtering value of the last measuring time, so that the signal quality estimated value of the current measuring time can be filtered by adopting the filter coefficient matched with the data of the current measuring time, and the filtering accuracy of the signal quality estimated value of the current measuring time is effectively ensured. Meanwhile, the diversity and the rationality of filtering processing can be effectively ensured, the accuracy of filtering processing is further ensured, and the accuracy of signal quality measurement of the main frequency point of the adjacent cell is improved.

In S14, according to the signal quality filtered value at the last measurement time and the filter coefficient corresponding to the current measurement time, filtering is performed on the signal quality estimated value of the signal at the current measurement time, so as to obtain a signal quality filtered value of the signal corresponding to the neighboring cell dominant frequency point at the current measurement time.

RSSI _filter (t)＝α×RSSI _filter (t-1)+(1-α)×RSSI(t)

a represents a filter coefficient corresponding to the current measurement time;

When the signal quality estimation value of the current measurement time is filtered, a filter coefficient corresponding to the current measurement time is adopted for filtering. As can be seen from the above description, when the signal quality estimated value at the current measurement time exceeds the signal quality filtered value at the previous measurement time more, it indicates that the possibility that the signal quality estimated value at the current measurement time contains strong co-channel interference is higher, and at this time, the filter coefficient is a larger value accordingly. Therefore, when the signal quality filtering value of the current measuring time is determined, the proportion of the signal quality estimated value of the current measuring time can be effectively reduced, and the influence of strong co-channel interference signals on the signal quality measurement of the current measuring time is effectively reduced. Similarly, when the signal quality estimated value at the current measurement time is more than the signal quality filtered value at the previous measurement time, it indicates that the possibility that the signal quality estimated value at the current measurement time does not contain strong co-channel interference is higher, and at this time, the filter coefficient is correspondingly a smaller value. Therefore, when the signal quality filtering value of the current measuring time is determined, the proportion of the signal quality estimation value of the current measuring time can be effectively improved, and the accuracy and the real-time performance of the signal quality measurement of the current measuring time are effectively guaranteed.

As shown in fig. 2, a graph is shown for the signal quality measurement method of the neighboring primary frequency point according to an embodiment of the present disclosure and the signal measurement of the neighboring primary frequency point in the prior art, where "+" represents a signal quality estimation value at each measurement time, a dotted line represents a curve of the signal quality determined by the prior art, and a solid line represents a curve of the signal quality determined by the prior art. As shown in fig. 2, 95dB is the actual value of the primary frequency point signal in the cell. Therefore, before t =230, since there is no strong co-channel interference evident in other neighboring cells, the measurement value obtained by the technical solution in the present disclosure is similar to that obtained by the method in the prior art. However, after t =230, because of the occurrence of significant strong co-channel interference, the signal quality value measured in the prior art may fluctuate by about-80 dB, which is significantly higher than the actual value of the signal quality thereof, and according to the technical scheme in the present disclosure, the influence caused by the strong co-channel interference may be effectively eliminated, so that the determined signal quality value is closer to the actual value of the signal thereof.

In summary, in the above technical solution, a signal corresponding to a dominant frequency point in a neighboring cell is directly sampled, and a signal quality estimation value of the signal at a current measurement time is determined according to the sampling point data, so that a filter coefficient corresponding to the current measurement time is determined according to the signal quality estimation value at the current measurement time and a signal quality filter value at a previous measurement time, and the signal quality estimation value at the current measurement time is filtered according to the filter coefficient corresponding to the current measurement time, so as to accurately measure the signal quality corresponding to the dominant frequency point in the current measurement time. By the technical scheme, the signal of the adjacent cell can be simply and quickly acquired, so that the phenomena of inconvenient scheduling and overlong sampling time in the prior art can be avoided, the signal is accurately measured, and the signal quality change of the cell to be measured is tracked; and the strong co-frequency signal interference generated by other adjacent cells can be effectively filtered, the phenomenon that the measured value is too high due to the strong co-frequency interference in the prior art is avoided, and the accuracy of signal quality measurement of the main frequency point of the adjacent cell is effectively ensured.

Alternatively, if the signal quality estimated value of the current measurement time is the first determined signal quality estimated value of the signal, the signal quality filtered value of the current measurement time may be determined in the following manner.

In an embodiment, if the signal quality estimated value of the current measurement time is the first determined signal quality estimated value of the signal, the signal quality estimated value of the current measurement time may be directly determined as the signal quality filtered value of the current measurement time.

In another embodiment, if the signal quality estimated value of the current measuring time is the first signal quality estimated value of the determined signal, the signal quality estimated value of the current measuring time may also be filtered according to a preset ratio, that is, a product of the signal quality estimated value of the current measuring time and the preset ratio is determined as the signal quality filtered value of the current measuring time. Wherein the preset proportion can be obtained through experience or experiments in advance.

In another embodiment, if the signal quality estimation value of the current measurement time is the first signal quality estimation value of the determined signal, the signal quality filtering value of the current measurement time is determined according to the signal quality estimation value of the current measurement time and a preset signal quality range.

Optionally, an exemplary implementation manner of determining the signal quality filtered value of the current measurement time according to the signal quality estimated value of the current measurement time and a preset signal quality range includes:

when the signal quality estimation value of the current measuring time is smaller than the lower limit value of the signal quality range, determining the lower limit value of the signal quality range as a signal quality filtering value of the current measuring time;

and when the signal quality estimated value of the current measuring time is less than or equal to the upper limit value of the signal quality range and greater than or equal to the lower limit value of the signal quality range, determining the signal quality estimated value of the current measuring time as a signal quality filtered value of the current measuring time.

Illustratively, the upper and lower values of the signal quality range may be obtained empirically or experimentally beforehand, and illustratively, the signal quality range may be [ -95dB, -84dB ].

In an embodiment, when the current terminal receives an instruction of neighbor cell measurement, the quality of a signal corresponding to the master frequency point of the neighbor cell starts to be measured. The current terminal can store a neighbor cell list, and when the current terminal receives a measurement instruction of a certain frequency point to be measured, the neighbor cell list can be used for determining the neighbor cell taking the frequency point to be measured as the main frequency point, so that the signal corresponding to the determined neighbor cell main frequency point can be sampled, and the signal quality corresponding to the neighbor cell main frequency point can be determined based on the sampling point data.

Exemplarily, if the estimated value of the signal quality at the current measuring time is-98 dB and is smaller than-95 dB, determining the-95 dB lower limit of the signal quality range as the filtered value of the signal quality at the current measuring time; if the signal quality estimated value of the current measuring time is-80 dB and is greater than the upper limit value-84 dB of the signal quality range, determining the upper limit value-84 dB of the signal quality range as a signal quality filtering value of the current measuring time; and if the signal quality estimated value of the current measuring time is-90 dB, determining the signal quality estimated value-90 dB of the current measuring time as a signal quality filtering value of the current measuring time. Therefore, by the technical scheme, the initial measured value amplitude limit of the main frequency point signal of the adjacent cell can be in a certain range, so that the strong same frequency interference signals of other adjacent cells can be filtered, the accuracy of the signal quality filtering value of the current measuring time of the signal corresponding to the main frequency point of the adjacent cell is improved, and the user experience is improved.

In addition, in the method for measuring signal quality of a main frequency point of a neighboring cell provided by the present disclosure, for a cell with known timing information, a pilot frequency point of the neighboring cell may be determined based on the timing information. Therefore, when the dominant frequency point signal of the neighboring cell is measured, the signal corresponding to the pilot point may be sampled to determine the signal quality estimation value of the neighboring cell in the current measurement time.

Optionally, the method further comprises:

If the neighboring cell to be tested is a cell in which the terminal previously resided, the timing information and the pilot sequence of the neighboring cell can be determined. In this embodiment, the measurement time of the neighboring cell may be determined based on the timing information, that is, the measurement time of the neighboring cell includes the pilot time period of the neighboring cell, so that channel estimation may be performed on the sampling point data according to the pilot sequence of the neighboring cell, and thus channel estimation data may be obtained. The channel estimation according to the pilot sequence is not described herein in detail for the prior art. When the channel estimation is carried out on the sampling point according to the pilot frequency sequence, the same frequency interference can be effectively inhibited, so that the possibility that the signal quality estimation value of the current measurement time determined based on the data obtained by the channel estimation is subjected to strong same frequency interference is low. At this time, the signal quality estimation value of the signal at the current measurement time may be directly filtered according to the sixth filter coefficient. Wherein the sixth filter coefficient may be obtained experimentally or empirically. In this embodiment, the determined signal quality estimation value at the current measurement time has a low possibility of containing strong co-channel interference, and the value of the sixth filter coefficient may be the same as that of the fifth filter coefficient, for example, the value of the sixth filter coefficient may be 0.83.

Therefore, according to the technical scheme, when the current measurement time is determined according to the timing of the adjacent cell, the signal quality estimation value of the current measurement time is determined after the channel estimation is performed on the sampling point data according to the pilot frequency sequence of the adjacent cell, so that the determined signal quality estimation value is low in possibility of containing strong co-channel interference, and at the moment, the signal quality estimation value can be directly filtered by the preset filter coefficient, so that the efficiency of signal quality measurement can be effectively improved, and the measurement accuracy can be effectively ensured.

In addition, after the signal quality of the main frequency point of the adjacent cell is measured by the technical scheme, the current signal quality of the main frequency point of the adjacent cell can be accurately determined, so that when the switching of the serving cell is determined based on the measured signal quality, accurate data support can be provided for cell switching, the serving cell after switching is a cell with strong actual signal quality, and the use experience of a user is further improved.

The present disclosure further provides a device for measuring signal quality of a neighboring cell primary frequency point, as shown in fig. 3, where the device 10 includes:

the sampling module 101 is configured to sample a signal corresponding to the main frequency point of the neighboring cell within the current measurement time;

a first determining module 102, configured to determine, according to sampling point data, a signal quality estimation value of the signal at the current measurement time when the current measurement time is not determined according to the timing of the neighboring cell;

a second determining module 103, configured to obtain a signal quality filtered value of the signal at a previous measurement time, and determine a filter coefficient corresponding to the current measurement time according to the signal quality estimated value at the current measurement time and the signal quality filtered value at the previous measurement time;

the first filtering module 104 is configured to filter the signal quality estimation value of the signal at the current measurement time according to the signal quality filtering value at the previous measurement time and the filter coefficient corresponding to the current measurement time, so as to obtain a signal quality filtering value of the signal corresponding to the neighboring cell dominant frequency point at the current measurement time.

Optionally, as shown in fig. 4, the apparatus 10 further includes:

a third determining module 105, configured to determine a signal quality filtering value of the current measurement time according to the signal quality estimated value of the current measurement time and a preset signal quality range when the signal quality estimated value of the current measurement time is the first quality estimated value of the determined signal.

Optionally, the third determining module 105 includes:

Optionally, the second determining module 103 includes:

a fourth determining submodule, configured to determine a signal quality change value corresponding to the current measurement time, where the signal change value is a difference obtained by subtracting the signal quality filtered value of the previous measurement time from the signal quality estimated value of the current measurement time;

a seventh determining submodule, configured to determine a third filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is smaller than or equal to the second threshold and larger than a third threshold;

Optionally, the first filtering module 104 is configured to, according to the signal quality filtered value at the last measurement time and the filter coefficient corresponding to the current measurement time, perform filtering processing on the signal quality estimated value of the signal at the current measurement time through the following formula, so as to obtain a signal quality filtered value of the signal at the current measurement time corresponding to the neighboring cell dominant frequency point:

RSSI _filter (t)＝α×RSSI _filter (t-1)+(1-α)×RSSI(t)

wherein the RSSI _filter (t) a signal quality filtered value representative of the current measurement time;

Optionally, the apparatus 10 further comprises:

and the second filtering module is used for filtering the signal quality estimation value of the signal at the current measurement time according to the sixth filtering coefficient so as to obtain a signal quality filtering value of the signal corresponding to the neighboring cell main frequency point at the current measurement time.

With regard to the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.

Fig. 5 is a block diagram illustrating an electronic device 500 in accordance with an example embodiment. As shown in fig. 5, the electronic device 500 may include: a processor 501 and a memory 502. The electronic device 500 may also include one or more of a multimedia component 503, an input/output (I/O) interface 504, and a communications component 505.

The processor 501 is configured to control the overall operation of the electronic device 500, so as to complete all or part of the steps in the method for measuring signal quality of a primary frequency point in a neighboring cell. The memory 502 is used to store various types of data to support operation at the electronic device 500, such as instructions for any application or method operating on the electronic device 500 and application-related data, such as contact data, messaging, pictures, audio, video, and so forth. The Memory 502 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 disk or optical disk. The multimedia component 503 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 502 or transmitted through the communication component 505. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 504 provides an interface between the processor 501 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 505 is used for wired or wireless communication between the electronic device 500 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 505 may include: wi-Fi module, bluetooth module, NFC module.

In an exemplary embodiment, the electronic Device 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components, and is configured to perform the Signal quality measurement method for the main neighboring cell.

In another exemplary embodiment, a computer readable storage medium including program instructions is further provided, and the program instructions when executed by a processor implement the steps of the signal quality measurement method for the neighboring primary frequency point described above. For example, the computer readable storage medium may be the memory 502 including program instructions, which are executable by the processor 501 of the electronic device 500 to perform the signal quality measurement method of the neighboring primary frequency point.

Fig. 6 is a block diagram illustrating an electronic device 600 according to an example embodiment. For example, the electronic device 600 may be provided as a server. Referring to fig. 6, the electronic device 600 includes a processor 622, which may be one or more in number, and a memory 632 for storing computer programs executable by the processor 622. The computer program stored in memory 632 may include one or more modules that each correspond to a set of instructions. Further, the processor 622 can be configured to execute the computer program to execute the signal quality measurement method of the neighboring primary frequency point.

Additionally, electronic device 600 may also include power components 626 and communication components 650, where the power components 626 may be configured to perform power management of the electronic device 600, and the communication components 650 may be configured to enable communication of the electronic device 600, e.g., wired or wireless communication. The electronic device 600 may also include input/output (I/O) interfaces 658. The electronic device 600 may operate based on an operating system, such as Windows Server, mac OS XTM, unixTM, linuxTM, etc., stored in the memory 632.

In another exemplary embodiment, a computer readable storage medium including program instructions is further provided, and the program instructions when executed by a processor implement the steps of the signal quality measurement method for the neighboring primary frequency point described above. For example, the computer readable storage medium may be the memory 632 including program instructions, which are executable by the processor 622 of the electronic device 600 to perform the method for measuring signal quality of the neighboring primary frequency point.

The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.

It should be noted that the various features described in the foregoing embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.

In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims

1. A method for measuring signal quality of a main frequency point in a neighboring cell is characterized by comprising the following steps:

according to the signal quality filtering value of the last measuring time and the filtering coefficient corresponding to the current measuring time, filtering the signal quality estimation value of the signal at the current measuring time to obtain a signal quality filtering value of the signal corresponding to the adjacent region main frequency point at the current measuring time;

2. The method of claim 1, wherein determining the filtered signal quality value at the current measurement time according to the estimated signal quality value at the current measurement time and a preset signal quality range comprises:

3. The method of claim 1, wherein determining the filter coefficient corresponding to the current measurement time according to the signal quality estimation value of the current measurement time and the signal quality filtered value of the last measurement time comprises:

determining a signal quality change value corresponding to the current measurement time, wherein the signal change value is a difference value obtained by subtracting the signal quality filtering value of the last measurement time from the signal quality estimation value of the current measurement time;

4. The method of claim 3, wherein the first threshold and the fourth threshold are opposite numbers, and wherein the second threshold and the third threshold are opposite numbers.

5. The method according to any one of claims 1 to 4, wherein, according to the filtered value of the signal quality at the last measurement time and the filter coefficient corresponding to the current measurement time, the estimated value of the signal quality of the signal at the current measurement time is filtered by the following formula to obtain the filtered value of the signal quality of the signal corresponding to the dominant frequency point in the neighborhood at the current measurement time:

RSSI _filter (t)＝α×RSSI _filter (t-1)+(1-α)×RSSI(t)

RSSI (t) represents a signal quality estimate for the current measurement time.

6. The method according to any one of claims 1-4, further comprising:

and filtering the signal quality estimation value of the signal at the current measurement time according to a sixth filtering coefficient to obtain a signal quality filtering value of the signal corresponding to the adjacent cell dominant frequency point at the current measurement time.

7. A signal quality measuring device of a main frequency point in a neighboring cell is characterized by comprising:

a first determining module, configured to determine, according to sampling point data, a signal quality estimation value of the signal at the current measurement time when the current measurement time is not determined according to the timing of the neighboring cell;

the first filtering module is used for filtering the signal quality estimation value of the signal at the current measuring time according to the signal quality filtering value at the last measuring time and the filtering coefficient corresponding to the current measuring time so as to obtain the signal quality filtering value of the signal at the current measuring time corresponding to the main frequency point of the neighboring cell;

and the third determining module is used for determining a signal quality filtering value of the current measuring time according to the signal quality estimated value of the current measuring time and a preset signal quality range when the signal quality estimated value of the current measuring time is the first determined signal quality estimated value of the signal.

8. The apparatus of claim 7, wherein the third determining module comprises:

9. The apparatus of claim 7, wherein the second determining module comprises:

a fifth determining submodule, configured to determine the first filter coefficient as the filter coefficient when the signal quality variation value corresponding to the current measurement time is greater than a first threshold;

10. The apparatus of claim 9, wherein the first threshold and the fourth threshold are opposite numbers, and wherein the second threshold and the third threshold are opposite numbers.

11. The apparatus of any one of claims 7 to 10, wherein the first filtering module is configured to, according to the filtered signal quality value at the last measurement time and the filter coefficient corresponding to the current measurement time, filter the estimated signal quality value of the signal at the current measurement time by using the following formula to obtain the filtered signal quality value of the signal at the current measurement time corresponding to the dominant frequency point in the neighborhood region:

RSSI _filter (t)＝α×RSSI _filter (t-1)+(1-α)×RSSI(t)

wherein, RSSI _filter (t) a signal quality filtered value representing the current measurement time;

12. The apparatus according to any one of claims 7-10, further comprising:

13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.

14. An electronic device, comprising:

a memory having a computer program stored thereon;

a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 6.