CN110831101B - Cell reselection method and device, storage medium and terminal - Google Patents
Cell reselection method and device, storage medium and terminal Download PDFInfo
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- CN110831101B CN110831101B CN201810896045.XA CN201810896045A CN110831101B CN 110831101 B CN110831101 B CN 110831101B CN 201810896045 A CN201810896045 A CN 201810896045A CN 110831101 B CN110831101 B CN 110831101B
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- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- H—ELECTRICITY
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Abstract
A cell reselection method and device, a storage medium and a terminal are provided, and the method comprises the following steps: for each candidate cell in the candidate cell set, normalizing the number of good beams of the candidate cell; and selecting a preferred cell according to the good beam number after the normalization processing of each candidate cell. The scheme provided by the invention can effectively balance the load of each cell in the network, so that the distribution of the UE residing in the network is more reasonable.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a cell reselection method and apparatus, a storage medium, and a terminal.
Background
With The development of The Fifth-Generation mobile communications (5G), The concept of multi-beam (beam) is introduced in The New Radio (NR, also called New wireless) system.
Specifically, in the 5G NR, one cell (cell) is formed by a plurality of beams, each beam broadcasts a Synchronization Signal Block (SS Block, that is, SSB), the SSB has an SSB INDEX (SSB INDEX), and a User Equipment (User Equipment, UE) performs downlink Synchronization by receiving the SSB.
An IDLE (IDLE) UE needs to monitor signals of a serving cell and neighboring cells, and select a best serving cell to camp on according to a certain rule.
According to the regulations of the existing protocols, a cell having a large number of beams is relatively dominant in a cell reselection process. For example, referring to fig. 1, the UE10 is easier to select into the cell 12 during mobility. Thus, after multiple rounds of reselection, most UEs will camp on the cell with the large number of beams (e.g., mainly camp on the cell 12 shown in fig. 1), which results in a high load on the cell with the large number of beams in the network (generally, the number of beams in the high frequency band cell is large), and a low load on the cell with the small number of beams.
Therefore, based on the existing cell reselection logic, the problem of load imbalance among cells in the network can be caused, and the residing quality of the UE is seriously influenced.
Disclosure of Invention
The technical problem solved by the invention is how to balance the load among different cells in the network.
To solve the foregoing technical problem, an embodiment of the present invention provides a cell reselection method, including: for each candidate cell in the candidate cell set, normalizing the number of good beams of the candidate cell; and selecting a preferred cell according to the good beam number after the normalization processing of each candidate cell.
Optionally, the normalizing the number of good beams of the candidate cell includes: and normalizing the number of the good beams of the candidate cell according to the good beam number normalization coefficient of the candidate cell.
Optionally, the larger the number of beams of the candidate cell is, the smaller the normalization coefficient of the number of good beams of the candidate cell is.
Optionally, the number of good beams of the candidate cell is normalized based on the following formula: n isi’＝ni×δi(ii) a Wherein n isi' normalized good Beam number, n, for the ith candidate celliNumber of good beams, δ, for the ith candidate celliThe coefficients are normalized for the number of good beams for the ith candidate cell.
Optionally, the good beam number normalization coefficient of the candidate cell is obtained in advance through system information.
Optionally, the good beam number normalization coefficient of the candidate cell is determined based on the beam number of the serving cell.
Optionally, for a candidate cell whose number of beams is greater than the number of beams of the serving cell, the good beam number normalization coefficient is smaller than the good beam number normalization coefficient of the candidate cell whose number of beams is smaller than the number of beams of the serving cell.
Optionally, the good beam number of the candidate cell is determined based on the following formulaA normalization coefficient: deltai＝(Nx/Ni) X α; wherein, deltaiNormalization factor for the number of good beams of the ith candidate cell, NxNumber of beams for serving cell, NiIs the number of beams of the ith candidate cell, alpha is a scaling factor, and alpha is the number of beams of the ith candidate cell when the number of beams of the ith candidate cell is larger than the number of beams of the serving cell>1, when the number of beams of the ith candidate cell is less than the number of beams of the serving cell, α<1。
Optionally, the scaling factor is predetermined by a protocol or obtained by system information.
Optionally, the scaling factor is predetermined by a protocol, and means: the scaling factor is determined by a preset two-dimensional table, where the preset two-dimensional table includes the number of beams of the serving cell, the number of beams of the neighboring cell, and a corresponding scaling factor.
Optionally, the preset two-dimensional table is predetermined by a protocol.
Optionally, the candidate cell set is determined according to measurement values of signals of a serving cell and a neighbor cell.
Optionally, for each candidate cell in the candidate cell set, the number of good beams of the candidate cell is determined according to a measurement value of signals of respective beams of the candidate cell.
Optionally, the selecting a preferred cell according to the number of good beams after the normalization processing of each candidate cell includes: and selecting the candidate cell with the maximum number of good beams after normalization processing in each candidate cell as the preferred cell.
Optionally, the selecting a preferred cell according to the number of good beams after the normalization processing of each candidate cell further includes: when a plurality of candidate cells with the largest number of good beams after normalization processing exist, the candidate cell with the highest grade is selected as the preferred cell, and the grade of the candidate cell is determined according to the measured value of the candidate cell.
Optionally, the cell reselection method further includes: camping on the preferred cell.
To solve the foregoing technical problem, an embodiment of the present invention further provides a cell reselection apparatus, including: the normalization processing module is used for normalizing the number of the excellent beams of the candidate cells for each candidate cell in the candidate cell set; and the selection module is used for selecting the preferred cell according to the excellent beam quantity after the normalization processing of each candidate cell.
Optionally, the normalization processing module includes: and the normalization processing sub-module is used for performing normalization processing on the excellent wave beam number of the candidate cell according to the excellent wave beam number normalization coefficient of the candidate cell.
Optionally, the larger the number of beams of the candidate cell is, the smaller the normalization coefficient of the number of good beams of the candidate cell is.
Optionally, the normalization processing sub-module performs normalization processing on the number of good beams of the candidate cell based on the following formula: n isi’＝ni×δi(ii) a Wherein n isi' normalized good Beam number, n, for the ith candidate celliNumber of good beams, δ, for the ith candidate celliThe coefficients are normalized for the number of good beams for the ith candidate cell.
Optionally, the good beam number normalization coefficient of the candidate cell is obtained in advance through system information.
Optionally, the good beam number normalization coefficient of the candidate cell is determined based on the beam number of the serving cell.
Optionally, for a candidate cell whose number of beams is greater than the number of beams of the serving cell, the good beam number normalization coefficient is smaller than the good beam number normalization coefficient of the candidate cell whose number of beams is smaller than the number of beams of the serving cell.
Optionally, the normalization processing sub-module determines a good beam number normalization coefficient of the candidate cell based on the following formula: deltai＝(Nx/Ni) X α; wherein, deltaiExcellence as the ith candidate cellNormalized coefficient of the number of beams, NxNumber of beams for serving cell, NiIs the number of beams of the ith candidate cell, alpha is a scaling factor, and alpha is the number of beams of the ith candidate cell when the number of beams of the ith candidate cell is larger than the number of beams of the serving cell>1, when the number of beams of the ith candidate cell is less than the number of beams of the serving cell, α<1。
Optionally, the scaling factor is predetermined by a protocol or obtained by system information.
Optionally, the scaling factor is predetermined by a protocol, and means: the scaling factor is determined by a preset two-dimensional table, where the preset two-dimensional table includes the number of beams of the serving cell, the number of beams of the neighboring cell, and a corresponding scaling factor.
Optionally, the preset two-dimensional table is predetermined by a protocol.
Optionally, the candidate cell set is determined according to measurement values of signals of a serving cell and a neighbor cell.
Optionally, for each candidate cell in the candidate cell set, the number of good beams of the candidate cell is determined according to the measured values of the signals of the beams of the candidate cell
Optionally, the selecting module includes: a first selection sub-module, configured to select, as the preferred cell, a candidate cell with a largest number of good beams after normalization processing in each candidate cell.
Optionally, the selecting module further includes: and a second selection sub-module, when there are a plurality of candidate cells with the largest number of good beams after normalization processing, selecting the candidate cell with the highest grade as the preferred cell, wherein the grade of the candidate cell is determined according to the measured value of the candidate cell.
Optionally, the cell reselection apparatus further includes: a residing module for residing to the preferred cell.
To solve the above technical problem, an embodiment of the present invention further provides a storage medium having stored thereon computer instructions, where the computer instructions execute the steps of the above method when executed.
In order to solve the above technical problem, an embodiment of the present invention further provides a terminal, including a memory and a processor, where the memory stores computer instructions capable of being executed on the processor, and the processor executes the computer instructions to perform the steps of the method.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a cell reselection method, which comprises the following steps: for each candidate cell in the candidate cell set, normalizing the number of good beams of the candidate cell; and selecting a preferred cell according to the good beam number after the normalization processing of each candidate cell. Compared with the existing cell reselection mode, the scheme of the embodiment performs normalization processing (namely, processing from dimension to dimensionless) on the number of good beams of the candidate cell, scales the number of good beams of each candidate cell in proportion, and can eliminate the influence of the number of beams of the candidate cell on the selection result. Further, by standardizing the index to be considered (namely the number of the excellent beams), the load of each cell in the network can be effectively balanced, so that the distribution of the UE residing in the network is more reasonable, and the residing quality of the UE is optimized.
Furthermore, the number of the good beams of the candidate cell is normalized according to the number normalization coefficient of the good beams of the candidate cell, so that the number normalization of the good beams of the candidate cell is realized in a weight presetting mode, and the UE residence opportunity optimization of each candidate cell in the network is realized.
Drawings
Fig. 1 is a schematic diagram of a cell reselection scenario based on the prior art;
fig. 2 is a flowchart of a cell reselection method according to an embodiment of the present invention;
fig. 3 is a flowchart of one embodiment of a method for determining a candidate cell set in fig. 2;
FIG. 4 is an ASN diagram of the system information of FIG. 2;
fig. 5 is a schematic structural diagram of a cell reselection apparatus according to an embodiment of the present invention.
Detailed Description
As will be understood by those skilled in the art, based on the specification of the existing protocol, when a User Equipment (UE) in a network performs cell reselection, most UEs tend to camp on a cell with a large number of beams (beams) through multiple rounds of reselection, which results in uneven load of the cells in the network.
The inventor of the present application has analyzed and found that this is because the prior art does not consider the influence of the beam number difference of different cells on the cell reselection result of the UE.
Specifically, a UE performing cell reselection according to the related art selects a cell with a large number of good beams (good beams) for camping. For a cell with a large number of beams, the number of good beams determined by such cell measurement is also large at a high probability, and therefore, the probability that the cell is finally selected as the preferred cell for the UE to camp on is also high.
That is, based on the prior art, the larger the base number of the beam number is, the higher the probability that the cell is selected is, thereby causing unreasonable distribution of UEs in the network and unbalanced load of each cell.
In order to solve the above technical problem, a solution of an embodiment of the present invention provides a cell reselection method, including: for each candidate cell in the candidate cell set, normalizing the number of good beams of the candidate cell; and selecting a preferred cell according to the good beam number after the normalization processing of each candidate cell.
Those skilled in the art understand that the solution described in this embodiment can eliminate the influence of the number of beams that the candidate cell itself has on the selection result by performing a normalization process (i.e., a process from dimensional to non-dimensional) on the number of good beams of the candidate cell and scaling the number of good beams of each candidate cell.
Further, by standardizing the index to be considered (namely the number of the excellent beams), the load of each cell in the network can be effectively balanced, so that the distribution of the UE residing in the network is more reasonable, and the residing quality of the UE is optimized.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 2 is a flowchart of a cell reselection method according to an embodiment of the present invention. The scheme of the embodiment can be applied to the user equipment side, such as performed by the UE. The scheme of the present embodiment may be applied to a 5G NR multi-beam scenario, for example, may be applied to a cell reselection scenario of an IDLE state (IDLE) UE.
Specifically, in this embodiment, the cell reselection method may include the following steps:
step S101, for each candidate cell in the candidate cell set, normalizing the number of good beams of the candidate cell.
In step S102, a preferred cell is selected according to the number of good beams (i.e., the number of good beams) after normalization processing of each candidate cell.
More specifically, the candidate cell set may include alternative serving cells and neighbor cells determined through measurement. The serving cell may be a cell where the UE currently resides or a cell where the UE finally resides before being switched to an idle state; the neighboring cell may be a neighboring cell of the serving cell, or may be a cell around a current location of the UE.
In one or more embodiments, for a UE (or cell) configured with a preset rank range, the candidate cell set may be determined according to signal measurements on the serving cell and neighbor cells, wherein the preset rank range may be described based on a parameter offsetToBestCell; otherwise, the preferred cell may be determined directly from signal measurements of the serving cell and neighbor cells.
In one or more embodiments, the set of candidate cells may be determined from measurements of signals of the serving cell and neighbor cells.
Specifically, referring to fig. 3, to determine the candidate cell set, before step S101, the cell reselection method in this embodiment may further include the following steps:
step S1011 measures signals of the serving cell and the neighboring cell and obtains a measurement value of each cell.
Step S1012, for each cell, calculates the rank of the cell according to the measured value of the cell.
Step S1013, adding a cell, of which the rank falls within a preset rank range, in the serving cell and the neighboring cell into the candidate cell set.
Specifically, for any one of the serving cell and the neighbor cell, the measurement value of the cell may be obtained by synthesizing the measurement values of the respective beams of the cell. That is, the measurement values may correspond to beams one to one, and for each beam of each cell, the measurement values may be obtained by measuring signals and then synthesized to obtain the measurement value of the cell.
For example, for a UE (or cell) configured with a threshold value (as described based on the parameter absThreshSS-blocksConsoloding), for each cell, the beams of the measurement values above the threshold value may be determined as good beams of the cell, and the measurement values of the good beams may be linearly averaged to obtain the measurement value of the cell.
For another example, for a UE (or a cell) not configured with the threshold value, or a cell configured with the threshold value but having a measurement value of each beam of the cell smaller than the threshold value, the highest measurement value obtained by measurement may be used as the measurement value of the cell.
In one or more embodiments, after determining the candidate cells included in the candidate cell set, for each candidate cell in the candidate cell set, the method may further include: determining the number of good beams of the candidate cell according to the measured values of the beams of the candidate cell.
For example, a beam greater than the threshold value among the measured values of the beams of the candidate cell is determined as a good beam of the candidate cell, and then the number of good beams of the candidate cell is determined.
In one or more embodiments, for each candidate cell, the step S101 may include the steps of: and normalizing the number of the good beams of the candidate cell according to the good beam number normalization coefficient of the candidate cell. Therefore, the normalization processing of the excellent wave beam number of the candidate cell can be realized by presetting the weight, and the UE residence opportunity optimization of each candidate cell in the network is realized.
Further, the greater the number of beams of the candidate cell is, the smaller the good beam number normalization coefficient of the candidate cell may be, so as to eliminate the influence of the difference of the number of beams of different candidate cells on the selection result.
In one or more embodiments, the good beam number normalization coefficient of each cell in the network may be configured to the UE in advance through System Information (SI).
For example, fig. 4 shows the main contents of the system information in the form of Abstract Syntax Notation (ASN for short).
Specifically, the area 1 in fig. 4 may be used to open the function of the scheme described in the embodiment of the present invention, that is, to indicate whether the UE may perform the cell reselection operation by using the scheme described in this embodiment.
For the functional on scenario, the area 1 may further be configured with a default value (corresponding to a parameter NULL) and/or a normalization coefficient (corresponding to a parameter normalization factor) for the UE (or cell) to select a specific determination form of the good beam number normalization coefficient.
Further, for each cell in the network, taking the configuration parameters of the specific cell shown in the area 2 and the area 3 as an example, it is also possible to configure a cell selection default value (corresponding to the parameter NULL) or a normalization coefficient (corresponding to the parameter normalization factor) as its good beam number normalization coefficient through the system information.
Further, the specific meaning and application scenario of the good beam number normalization coefficient can be explained by the codes in the area 4.
In one or more embodiments, the network may instruct each cell to select one of a default value and a normalization coefficient as a determination criterion for the good number of beams normalization coefficient.
In one or more embodiments, different normalization coefficients (corresponding to the parameter normalization factor) may be configured for different cells, that is, as shown in fig. 4, a SI of each cell is configured with a corresponding good beam number normalization coefficient (corresponding to the parameter normalization factor for numofgoodbeaams), and after determining that a cell is the candidate cell, the UE may obtain the good beam number normalization coefficient (i.e., a specific value configured by the parameter normalization factor for numofgoodbeaams) corresponding to the candidate cell from the SI.
Further, taking the ith candidate cell in the candidate cell set as an example, after determining the good beam number normalization coefficient of the ith candidate cell, the good beam number normalization processing may be performed on the candidate cell based on the following formula:
ni’＝ni×δi；
wherein n isi' normalized good Beam number, n, for the ith candidate celliNumber of good beams, δ, for the ith candidate celliThe coefficients (i.e., the specific values configured for the parameter normalizngfactor for numofgoodbeams) are normalized for the number of good beams for the ith candidate cell.
Thereby, the number of good beams of the i-th candidate cell can be normalized.
Further, the larger the number of beams of the candidate cell is, the smaller the specific value of the parameter normarizingfactor for numofgoodbeams of the candidate cell configured in the SI may be.
In one or more embodiments, the good beam number normalization factor for the candidate cell may be obtained in advance through system information.
In one or more alternatives, the good beam number normalization factor for the candidate cell may be determined based on the number of beams of the serving cell.
For example, the network may instruct each cell to select a default value as the determination criterion for the good beam number normalization coefficient, where the good beam number normalization coefficient of candidate cells other than the serving cell in the UE's candidate cell set is determined according to the beam number of the serving cell.
Specifically, for a candidate cell whose number of beams is greater than that of the serving cell, the good beam number normalization coefficient may be smaller than that of a candidate cell whose number of beams is less than that of the serving cell. This also achieves the effect of normalizing candidate cells with different numbers of beams to the same level.
Further, a good number of beams normalization coefficient for the candidate cell may be determined based on the following formula:
δi＝(Nx/Ni)×α；
wherein, deltaiNormalization factor for the number of good beams of the ith candidate cell, NxNumber of beams for serving cell, NiIs the number of beams of the ith candidate cell, alpha is a scaling factor, and alpha is the number of beams of the ith candidate cell when the number of beams of the ith candidate cell is larger than the number of beams of the serving cell>1, when the number of beams of the ith candidate cell is less than the number of beams of the serving cell, α<1。
In particular, the scaling factor α may be related to the number of beams N of the serving cellxAnd the number of beams N of the ith candidate celliAnd (4) correlating. That is, for a given one serving cell, the scaling factor α is the same for all neighbor cells with the same number of beams in all neighbor cells.
Further, based on the above formula, when the configuration adopts the default value to execute the scheme of the present embodiment, the good beam number normalization coefficient of the serving cell is 1, the good beam number normalization coefficient of a candidate cell having a beam number greater than that of the serving cell among candidate cells (i.e., candidate neighbor cells) other than the serving cell in the candidate cell set is less than 1, and the good beam number normalization coefficient of a candidate cell having a beam number less than that of the serving cell is greater than 1.
Further, by setting the scaling factor α, the normalization coefficient of the number of good beams can be reasonably scaled when the difference between the number of beams of the serving cell and the number of beams of the ith candidate cell is too large, so that the normalization processing of the number of good beams of each candidate cell can be performed more uniformly.
In one or more embodiments, the scaling factor may be predetermined by a protocol or obtained by system information.
In one or more alternatives, the scaling factor may also be determined by a preset two-dimensional table, where the preset two-dimensional table includes the number of beams of the serving cell, the number of beams of the neighbor cell, and the corresponding scaling factor.
For example, the standard may agree in advance on the preset two-dimensional table, where a row (or column) of the preset two-dimensional table is the beam number of the serving cell, a column (or row) of the preset two-dimensional table is the beam number of the neighbor cell, and an intersection point of each row and each column of the preset two-dimensional table (i.e., a value corresponding to a specific row and a specific column) is a scaling factor of the corresponding neighbor cell with respect to the serving cell.
In practical applications, after determining the number of beams of the current serving cell and the number of beams of the ith candidate cell, the UE may search the preset two-dimensional table to determine a scaling factor of the ith candidate cell with respect to the serving cell, and further determine a good beam number normalization coefficient of the ith candidate cell.
Further, the preset two-dimensional table may be predetermined by a protocol.
Therefore, the difference between the scaling factor determined by the preset two-dimensional table specified by the protocol and the scaling factor indicated by the system information in the alternative is that the preset two-dimensional table is predefined by the protocol, and the signaling interaction between the network and the UE is less; in the above embodiment of indicating the scaling factor by the system information, the network may adjust a specific value of a parameter (such as the scaling factor) transmitted by the system information according to an actual situation, so as to adjust the finally determined normalization coefficient of the number of good beams of the specific candidate cell, which is higher in flexibility.
Further, for the ith candidate cell, the good beam number normalization coefficient δ is determinediThen, continue to be based on formula ni’＝ni×δiThe normalized good beam number for the ith candidate cell may be determined.
In one or more embodiments, the step S102 may include the steps of: and selecting the candidate cell with the maximum number of good beams after normalization processing in each candidate cell as the preferred cell.
In one or more alternative examples, for a UE (or a cell) configured with a preset rank range, the step S102 may further include the steps of: when a plurality of candidate cells with the largest number of good beams after normalization processing exist, a candidate cell with the highest rank (rank) is selected as the preferred cell, and the rank of the candidate cell is determined according to the measured value of the candidate cell.
In a typical application scenario, the UE in an idle state may perform the steps S1011 to S1013, so that after obtaining the measured values of the cells, the rank of each cell may be calculated based on a cell-ranking criterion (cell-ranking criterion), and the cells with the rank within the preset rank range are regarded as the same good cell and added into the candidate cell set. Wherein the grades may include a serving cell grade and a neighbor cell grade.
Further, the UE may continue to perform the step S101 to normalize the number of good beams of each candidate cell in the candidate cell set.
Further, the UE may continue to perform the step S102 to select the candidate cell with the largest normalized good beam number in the candidate cell set as the preferred cell.
Further, if the normalized good beams of a plurality of candidate cells in the candidate cell set have the same and the largest number, the candidate cell with the largest rank may be selected as the preferred cell.
As a variation, for a UE (or a cell) not configured with a preset rank range, the candidate cell with the highest rank in the candidate cell set may also be selected as the preferred cell.
Further, after the step S102 is executed to determine the preferred cell, the method may further include the step of: camping on the preferred cell.
Therefore, with the scheme of this embodiment, the number of good beams of each candidate cell is scaled by performing normalization processing (i.e., processing from dimensional to dimensionless) on the number of good beams of the candidate cell, so that the influence of the number of beams of the candidate cell on the selection result can be eliminated.
Further, by standardizing the index to be considered (namely the number of the excellent beams), the load of each cell in the network can be effectively balanced, so that the distribution of the UE residing in the network is more reasonable, and the residing quality of the UE is optimized.
Fig. 5 is a schematic structural diagram of a cell reselection apparatus according to an embodiment of the present invention. Those skilled in the art understand that the cell reselection apparatus 5 in this embodiment may be applied to a user equipment side, and is configured to implement the method technical solutions in the embodiments shown in fig. 2 to fig. 4.
Specifically, in this embodiment, the cell reselection device 5 may include: a normalization processing module 51, for each candidate cell in the candidate cell set, performing normalization processing on the number of good beams of the candidate cell; and a selecting module 52, configured to select a preferred cell according to the number of good beams after the normalization processing of each candidate cell.
Further, the normalization processing module 51 may include: the normalization processing sub-module 511 is configured to perform normalization processing on the number of good beams of the candidate cell according to the good beam number normalization coefficient of the candidate cell.
Further, the larger the number of beams of the candidate cell is, the smaller the good beam number normalization coefficient of the candidate cell may be.
In one or more embodiments, the normalization sub-module 511 may normalize the number of good beams of the candidate cell based on the following formula: n isi’＝ni×δi(ii) a Wherein n isi' normalized good Beam number, n, for the ith candidate celliNumber of good beams, δ, for the ith candidate celliThe coefficients are normalized for the number of good beams for the ith candidate cell.
Further, the good beam number normalization coefficient of the candidate cell may be obtained in advance through system information.
Further, the good beam number normalization coefficient of the candidate cell may be determined with reference to the beam number of the serving cell.
In one or more embodiments, for a candidate cell having a number of beams greater than the number of beams of the serving cell, the good number of beams normalization coefficient may be less than the good number of beams normalization coefficient for a candidate cell having a number of beams less than the number of beams of the serving cell.
Further, the normalization processing sub-module 511 may determine a good beam number normalization coefficient for the candidate cell based on the following formula: deltai＝(Nx/Ni) X α; wherein, deltaiNormalization factor for the number of good beams of the ith candidate cell, NxNumber of beams for serving cell, NiIs the number of beams of the ith candidate cell, alpha is a scaling factor, and alpha is the number of beams of the ith candidate cell when the number of beams of the ith candidate cell is larger than the number of beams of the serving cell>1, when the number of beams of the ith candidate cell is less than the number of beams of the serving cell, α<1。
Further, the scaling factor is predetermined by a protocol or obtained by system information.
In one or more embodiments, the scaling factor is predetermined by a protocol that refers to: the scaling factor is determined by a preset two-dimensional table, where the preset two-dimensional table includes the number of beams of the serving cell, the number of beams of the neighboring cell, and a corresponding scaling factor.
Further, the preset two-dimensional table is predetermined by a protocol.
Further, the candidate cell set may be determined from measurements of signals of the serving cell and the neighbor cells.
Further, for each candidate cell in the set of candidate cells, the number of good beams of the candidate cell may be determined from measurements of signals of respective beams of the candidate cell.
Further, the selection module 52 may include: a first selecting submodule 521, configured to select, as the preferred cell, a candidate cell with a largest number of good beams after normalization processing in the candidate cells.
Further, the selecting module 52 may further include: the second selecting sub-module 522, when there are multiple candidate cells with the largest number of good beams after normalization processing, selects the candidate cell with the highest rank as the preferred cell, and the rank of the candidate cell is determined according to the measured value of the candidate cell.
Further, the cell reselection device 5 may further include: a camping module 53, configured to camp on the preferred cell.
For more details of the operation principle and the operation manner of the cell reselection device 5, reference may be made to the related descriptions in fig. 2 to fig. 4, which are not repeated herein.
Further, the embodiment of the present invention further discloses a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the method technical solutions described in the embodiments shown in fig. 2 to fig. 4 are executed. Preferably, the storage medium may include a computer-readable storage medium such as a non-volatile (non-volatile) memory or a non-transitory (non-transient) memory. The storage medium may include ROM, RAM, magnetic or optical disks, etc.
Further, an embodiment of the present invention further discloses a terminal, which includes a memory and a processor, where the memory stores a computer instruction capable of running on the processor, and the processor executes the method technical solution described in the embodiments shown in fig. 2 to fig. 4 when running the computer instruction. Preferably, the terminal may be the User Equipment (UE).
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (26)
1. A method of cell reselection, comprising:
for each candidate cell in the candidate cell set, normalizing the number of good beams of the candidate cell;
selecting a preferred cell according to the number of good beams after normalization processing of each candidate cell;
wherein the normalizing the number of good beams of the candidate cell comprises: normalizing the number of the good wave beams of the candidate cell according to the good wave beam number normalization coefficient of the candidate cell; and normalizing the number of the good beams of the candidate cell based on the following formula:
ni’=ni×δi；
wherein n isi' normalized good Beam number, n, for the ith candidate celliNumber of good beams, δ, for the ith candidate celliNormalizing the coefficients for the number of good beams of the ith candidate cell;
the good wave beam number normalization coefficient of the candidate cell is determined by taking the wave beam number of the serving cell as a reference; determining a good beam number normalization factor for the candidate cell based on the following formula:
δi=(Nx/Ni)×α；
wherein N isxNumber of beams for serving cell, NiIs the number of beams of the ith candidate cell, alpha is a scaling factor, and alpha is the number of beams of the ith candidate cell when the number of beams of the ith candidate cell is larger than the number of beams of the serving cell>1, when the number of beams of the ith candidate cell is less than the number of beams of the serving cell, α<1。
2. The cell reselection method of claim 1, wherein the larger the number of beams of the candidate cell, the smaller the normalization factor of the number of good beams of the candidate cell.
3. The cell reselection method of claim 1, wherein the good beam number normalization factor of the candidate cell is obtained in advance through system information.
4. The cell reselection method of claim 1 wherein a good beam number normalization factor for candidate cells having a greater number of beams than the serving cell is less than a good beam number normalization factor for candidate cells having a lesser number of beams than the serving cell.
5. The cell reselection method of claim 1, wherein the scaling factor is predetermined by a protocol or obtained by system information.
6. The cell reselection method of claim 5, wherein the scaling factor is predetermined by a protocol that is: the scaling factor is determined by a preset two-dimensional table, where the preset two-dimensional table includes the number of beams of the serving cell, the number of beams of the neighboring cell, and a corresponding scaling factor.
7. The cell reselection method of claim 6, wherein said predetermined two-dimensional table is predetermined by a protocol.
8. The cell reselection method of claim 1 wherein said set of candidate cells is determined based on measurements of signals from a serving cell and neighbor cells.
9. The cell reselection method of claim 1 wherein, for each candidate cell in said set of candidate cells, the number of good beams of said candidate cell is determined based on measurements of signals of respective beams of said candidate cell.
10. The cell reselection method of claim 1, wherein the selecting a preferred cell according to the normalized good beam number of each candidate cell comprises:
and selecting the candidate cell with the maximum number of good beams after normalization processing in each candidate cell as the preferred cell.
11. The cell reselection method of claim 10, wherein said selecting a preferred cell according to the normalized good beam number of each candidate cell further comprises:
when a plurality of candidate cells with the largest number of good beams after normalization processing exist, the candidate cell with the highest grade is selected as the preferred cell, and the grade of the candidate cell is determined according to the measured value of the candidate cell.
12. The cell reselection method of claim 1, further comprising:
camping on the preferred cell.
13. A cell reselection apparatus, comprising:
the normalization processing module is used for normalizing the number of the excellent beams of the candidate cells for each candidate cell in the candidate cell set;
a selection module, configured to select a preferred cell according to the number of good beams after normalization processing of each candidate cell;
wherein, the normalization processing module comprises: the normalization processing submodule is used for performing normalization processing on the good wave beam number of the candidate cell according to the good wave beam number normalization coefficient of the candidate cell; the normalization processing sub-module normalizes the number of good beams of the candidate cell based on the following formula:
ni’=ni×δi；
wherein n isi' normalized good Beam number, n, for the ith candidate celliNumber of good beams, δ, for the ith candidate celliNormalizing the coefficients for the number of good beams of the ith candidate cell;
the good wave beam number normalization coefficient of the candidate cell is determined by taking the wave beam number of the serving cell as a reference; the normalization processing sub-module determines a good beam number normalization coefficient for the candidate cell based on the following formula:
δi=(Nx/Ni)×α；
wherein N isxNumber of beams for serving cell, NiIs the number of beams of the ith candidate cell, alpha is a scaling factor, and alpha is the number of beams of the ith candidate cell when the number of beams of the ith candidate cell is larger than the number of beams of the serving cell>1, when the number of beams of the ith candidate cell is less than the number of beams of the serving cell, α<1。
14. The cell reselection apparatus of claim 13, wherein the larger the number of beams of the candidate cell is, the smaller the normalization factor of the number of good beams of the candidate cell is.
15. The cell reselection apparatus of claim 13, wherein the normalization factor of the number of good beams of the candidate cell is obtained in advance through system information.
16. The cell reselection apparatus of claim 13 wherein the good beam number normalization factor for candidate cells having a greater number of beams than the serving cell is less than the good beam number normalization factor for candidate cells having a lesser number of beams than the serving cell.
17. The cell reselection apparatus of claim 13 wherein said scaling factor is predetermined by a protocol or obtained by system information.
18. The cell reselection apparatus of claim 17, wherein the scaling factor is predetermined by a protocol that is: the scaling factor is determined by a preset two-dimensional table, where the preset two-dimensional table includes the number of beams of the serving cell, the number of beams of the neighboring cell, and a corresponding scaling factor.
19. The cell reselection apparatus of claim 18 wherein said predetermined two dimensional table is predetermined by a protocol.
20. The cell reselection apparatus of claim 13 wherein the set of candidate cells is determined based on measurements of signals of a serving cell and neighbor cells.
21. The cell reselection apparatus of claim 13 wherein, for each candidate cell in said set of candidate cells, the number of good beams of said candidate cell is determined based on measurements of signals of respective beams of said candidate cell.
22. The cell reselection apparatus of claim 13, wherein the selection module comprises:
a first selection sub-module, configured to select, as the preferred cell, a candidate cell with a largest number of good beams after normalization processing in each candidate cell.
23. The cell reselection apparatus of claim 22, wherein said selection module further comprises:
and a second selection sub-module, when there are a plurality of candidate cells with the largest number of good beams after normalization processing, selecting the candidate cell with the highest grade as the preferred cell, wherein the grade of the candidate cell is determined according to the measured value of the candidate cell.
24. The cell reselection apparatus of claim 13, further comprising:
a residing module for residing to the preferred cell.
25. A computer readable storage medium having computer instructions stored thereon, which when executed by a processor perform the steps of the method of any one of claims 1 to 12.
26. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the method of any one of claims 1 to 12.
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