CN111465033B - Measurement method, device, network equipment and storage medium - Google Patents

Measurement method, device, network equipment and storage medium Download PDF

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Publication number
CN111465033B
CN111465033B CN201910054728.5A CN201910054728A CN111465033B CN 111465033 B CN111465033 B CN 111465033B CN 201910054728 A CN201910054728 A CN 201910054728A CN 111465033 B CN111465033 B CN 111465033B
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preamble
groups
random access
rach
network
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CN111465033A (en
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陈晶晶
谢芳
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W74/00Wireless channel access, e.g. scheduled or random access
    • H04W74/08Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
    • H04W74/0833Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a random access procedure
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W74/00Wireless channel access, e.g. scheduled or random access
    • H04W74/08Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
    • H04W74/0866Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using a dedicated channel for access

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a measuring method, a measuring device, network equipment and a storage medium. The method comprises the following steps: the network equipment measures the measurement quantity of the random access preamble sequence corresponding to the synchronous signal/physical broadcast channel block (SSB); and/or measuring a measurement quantity of a random access preamble sequence corresponding to a random access time-frequency resource (RACH occalation); and/or measuring a measurement quantity of a random access preamble sequence corresponding to a working bandwidth part (BWP); and/or measuring a measurement quantity of a random access preamble sequence corresponding to the network slice; and/or the measurement is based on a measurement quantity of one or more random access preamble sequences.

Description

Measurement method, device, network equipment and storage medium
Technical Field
The present invention relates to the field of wireless communications, and in particular, to a measurement method, a device, a network device, and a storage medium.
Background
In the communication system, the base station optimizes the physical Random Access channel (PRACH, physical Random Access Channel) configuration according to a received Random Access (RA) preamble sequence (preamble).
In the fifth generation mobile communication technology (5G) New air interface (NR, new Radio) system, the granularity of the configuration of the RA preamble may be refined to a synchronization signal/physical broadcast channel Block (SSB, SS/PBCH Block). Based on this, statistics of the corresponding RA preambles are required in order to better optimize PRACH configuration.
Disclosure of Invention
In order to solve the existing technical problems, the embodiment of the invention provides a measuring method, a measuring device, network equipment and a storage medium.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides a measuring method, which is characterized by comprising the following steps of:
measuring a measurement quantity of an RA preamble of the SSB; and/or the number of the groups of groups,
measuring the measurement quantity of an RA preamble corresponding to a random access time-frequency resource (RACH occalation); and/or the number of the groups of groups,
measuring a measurement quantity of an RA preamble corresponding to a working bandwidth part (BWP); and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or the number of the groups of groups,
the measurement is based on a measurement quantity of one or more RA preambles.
In the above scheme, the measurement quantity of the RA preamble of the SSB includes at least one of the following:
the number of the preamble is received on the time-frequency resources of one or more SSB in a first preset duration;
a ratio of a number of preambles received on time-frequency resources of one or more SSBs to a configured Random Access Channel (RACH) within a first preset duration;
the number of preambles received on PRACH of one or more SSBs within a first preset time period.
In the above scheme, the measurement quantity of the RA preamble corresponding to the RACH occipital includes at least one of the following:
The number of preambles received on one or more RACH occlusions within a second preset duration;
the ratio of the number of preambles received on one or more RACH occlusions to the configured RACH within a second preset duration.
In the above solution, the measurement quantity of the RA preamble corresponding to the working BWP includes at least one of the following:
the number of preambles received on corresponding time-frequency resources of one or more working BWP within a third preset duration;
the ratio of the number of preambles received on corresponding time-frequency resources of one or more working BWP's to the configured RACH within a third preset duration.
In the above scheme, the measurement quantity of the RA preamble corresponding to the network slice includes at least one of the following:
the preamble number of one or more network slices received in the fourth preset time period;
the ratio of the number of preambles received by one or more network slices to the configured RACH within a fourth preset duration.
In the above scheme, the measurement quantity based on one or more RA preambles includes at least one of the following:
the receiving times of one or more preamble in a fifth preset duration;
the ratio of the number of times of receiving one or more preambles to the configured RACH in the fifth preset duration.
In the above scheme, the configured RACH includes at least one of the following:
a respective number of parameters for one or more SSB configurations;
corresponding parameter numbers for one or more random access time-frequency resource configurations;
a corresponding number of parameters for all time-frequency resource configurations of the one or more working BWP;
a respective number of parameters configured for one or more network slices;
based on the corresponding number of parameters of the cell configuration.
In the above scheme, the method further comprises:
the RA preamble configuration based on network slices is performed by at least one of the following ways:
configuring different preambles for different network slices;
configuring the same preamble for a plurality of network slices;
configuring a plurality of preambles for the same network slice;
configuring different preamble by a network slice and a non-network slice;
configuring N groups of preambles, wherein the N groups of preambles meet the following conditions:
the N-1 group of preambles are applied to M network slices, and the remaining 1 preamble group is applied to other network slices except the M network slices;
configuring N groups of preambles based on network slices, wherein the N groups of preambles satisfy the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble groups, a plurality of network slices are allowed to correspond to one preamble group, and N and M are integers greater than or equal to 1.
In the above scheme, the preamble configured for the network slice satisfies one of the following conditions:
the preamble configured for the network slice is selected from the preambles corresponding to the set A;
the preamble configured for the network slice is selected from the preambles corresponding to the set B;
the preamble configured for the network slice is selected from the preambles corresponding to the non-contention random access;
the preamble configured for the network slice is selected from the preambles corresponding to the contention random access;
the preamble configured for the network slice is selected from the preambles corresponding to the SSB;
the preamble configured for the network slice is selected from the preambles corresponding to RACH occalation.
In the above scheme, the method further comprises:
and transmitting the preamble configuration applied to the network slice to the terminal.
In the above scheme, the method further comprises:
and reporting the obtained measurement quantity related information to other network elements.
In the above scheme, the reported measurement quantity related information includes at least one of the following:
measurement quantity of RA preamble of SSB;
a measurement quantity of RA preamble corresponding to RACH occision;
the measurement quantity of the RA preamble corresponding to the working BWP;
measuring quantity of RA preamble corresponding to network slice;
physical cell identification;
BWP identification;
BWP frequency domain location information;
Network slice identification.
In the above scheme, the other network elements include at least one of the following:
a network manager;
other base stations;
a core network;
a Centralized Unit (CU) or a Distributed Unit (DU).
The embodiment of the invention also provides a measuring device, which comprises: a measurement unit for:
measuring a measurement quantity of an RA preamble of the SSB; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the RACH occision; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the working BWP; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or the number of the groups of groups,
the measurement is based on a measurement quantity of one or more RA preambles.
In the above scheme, the measuring unit is specifically configured to perform at least one of the following operations:
counting the number of preambles received on time-frequency resources of one or more SSB in a first preset duration;
determining the ratio of the number of preambles received on the time-frequency resources of one or more SSs within a first preset duration of statistics to the configured RACH;
the number of preamble sequences received on PRACH of one or more SSBs within a first preset time period is counted.
In the above scheme, the measuring unit is specifically configured to perform at least one of the following operations:
Counting the number of preambles received on one or more RACH occlusions within a second preset time period;
and determining the ratio of the number of preambles received on one or more RACH occlusions in the counted second preset time period to the configured RACH.
In the above scheme, the measuring unit is specifically configured to perform at least one of the following operations:
counting the number of preambles received on corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preambles received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH within a third predetermined duration of statistics is determined.
In the above scheme, the measuring unit is specifically configured to perform at least one of the following operations:
counting the preamble number of one or more network slices received in a fourth preset time period;
a ratio of the number of preambles received by one or more network slices to the configured RACH is determined for a fourth predetermined duration of statistics.
In the above scheme, the measuring unit is specifically configured to:
counting the receiving times of one or more preambles in a fifth preset duration;
and determining the ratio of the number of times of receiving one or more preambles to the configured RACH in a fifth preset duration.
In the above scheme, the device further includes: a configuration unit, configured to perform RA preamble configuration based on network slice in at least one of the following manners:
configuring different preambles for different network slices;
configuring the same preamble for a plurality of network slices;
configuring a plurality of preambles for the same network slice;
configuring different preamble by a network slice and a non-network slice;
configuring N groups of preambles, wherein the N groups of preambles meet the following conditions:
the N-1 group of preambles are applied to M network slices, and the remaining 1 preamble group is applied to other network slices except the M network slices;
configuring N groups of preambles based on network slices, wherein the N groups of preambles satisfy the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble groups, a plurality of network slices are allowed to correspond to one preamble group, and N and M are integers greater than or equal to 1.
In the above scheme, the device further includes: and the reporting unit is used for reporting the obtained measurement quantity related information to other network elements.
The embodiment of the invention also provides a network device, which comprises: a processor and a communication interface; wherein, the liquid crystal display device comprises a liquid crystal display device,
the processor is used for measuring the measurement quantity of the RA preamble of the SSB through the communication interface; and/or the number of the groups of groups,
Measuring the measurement quantity of the RA preamble corresponding to the RACH occision; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the working BWP; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or the number of the groups of groups,
the measurement is based on a measurement quantity of one or more RA preambles.
In the above aspect, the processor is specifically configured to perform at least one of the following operations:
counting the number of preambles received on time-frequency resources of one or more SSB in a first preset duration;
determining the ratio of the number of preambles received on the time-frequency resources of one or more SSBs to the configured RACH within a first preset duration of statistics;
the number of preamble sequences received on PRACH of one or more SSBs within a first preset time period is counted.
In the above aspect, the processor is specifically configured to perform at least one of the following operations:
counting the number of preambles received on one or more RACH occlusions within a second preset time period;
and determining the ratio of the number of preambles received on one or more RACH occlusions in the counted second preset time period to the configured RACH.
In the above aspect, the processor is specifically configured to perform at least one of the following operations:
Counting the number of preambles received on corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preambles received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH within a third predetermined duration of statistics is determined.
In the above aspect, the processor is specifically configured to perform at least one of the following operations:
counting the preamble number of one or more network slices received in a fourth preset time period;
a ratio of the number of preambles received by one or more network slices to the configured RACH is determined for a fourth predetermined duration of statistics.
In the above aspect, the processor is specifically configured to perform at least one of the following operations:
counting the receiving times of one or more preambles in a fifth preset duration;
and determining the ratio of the number of times of receiving one or more preambles to the configured RACH in a fifth preset duration.
In the above solution, the processor is further configured to perform, through the communication interface, network slice based configuration of a rapearable through at least one of the following manners:
configuring different preambles for different network slices;
configuring the same preamble for a plurality of network slices;
Configuring a plurality of preambles for the same network slice;
configuring different preamble by a network slice and a non-network slice;
configuring N groups of preambles, wherein the N groups of preambles meet the following conditions:
the N-1 group of preambles are applied to M network slices, and the remaining 1 preamble group is applied to other network slices except the M network slices;
configuring N groups of preambles based on network slices, wherein the N groups of preambles satisfy the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble groups, a plurality of network slices are allowed to correspond to one preamble group, and N and M are integers greater than or equal to 1.
In the above scheme, the communication interface is configured to report the obtained measurement quantity related information to other network elements.
The embodiment of the invention also provides a network device, which comprises: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to execute the steps of any of the methods described above when the computer program is run.
Embodiments of the present invention further provide a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.
The embodiment of the invention provides a measuring method, a measuring device, network equipment and a storage medium, wherein the network equipment measures the measuring quantity of RA preamble corresponding to SSB; and/or measuring the measurement quantity of the RA preamble corresponding to the RACH occision; and/or, measuring the measurement quantity of the RA preamble corresponding to the working BWP; and/or, measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or, the measurement is based on the measurement quantity of the RA preamble corresponding to the index, and the measurement quantity of the RA preamble of the index level (preamble level), the SSB level, the RACH occalation level, the BWP level and the network slice level is introduced, so that the network can know the random access condition in the cell with finer granularity, and further PRACH configuration optimization can be better carried out.
Drawings
FIG. 1 is a schematic diagram of a configuration of a corresponding preamble of an SSB in the related art;
FIG. 2 is a flow chart of a method of measuring according to an embodiment of the present invention;
FIG. 3 is a schematic view of a measuring apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a network device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
In the 5G NR system, the granularity of RA preamble configuration may be refined to SSB, that is, the network configures the preamble number corresponding to SSB in addition to the preamble number of non-contention random access, the preamble number of group a, and the preamble number of group B. The parameter SSB-perRACH-occidionandbb-preablesperssb (the specific configuration is shown in fig. 1) gives the number of SSBs corresponding to each RACH occalasion (which can be understood as the time-frequency domain resource for transmitting preambles) and the number of preambles corresponding to each SSB. The number of preambles corresponding to each RACH occision is CB-preamble perssb max (1, ssb-perRACH-allocation).
Based on the design characteristics of the 5G NR system, statistics of corresponding RA preambles are needed to be carried out so as to better optimize PRACH configuration.
Based on this, an embodiment of the present invention provides a measurement method applied to a network device (may be a base station or the like in actual application), as shown in fig. 2, where the method includes:
Step 200: determining a measurement quantity to be measured;
here, in practical application, which measurement quantities need to be measured may be determined according to needs, which is not limited in the embodiment of the present invention.
Step 201: the measurement quantity to be measured is measured.
Here, the specific implementation of step 201 may include at least one of:
measuring the measurement quantity of the RA preamble corresponding to the SSB;
measuring the measurement quantity of the RA preamble corresponding to the RACH occision;
measuring the measurement quantity of the RA preamble corresponding to the working BWP;
measuring the measurement quantity of the RA preamble corresponding to the network slice;
the measurement is based on a measurement quantity of one or more RA preambles.
The statistical point or reference point of the measurement may be, but is not limited to, a service access point (Service Access Point) of MAC and L1.
After obtaining the measurement quantity, the network device knows the use condition of the random access resource, so that the random access resource configuration can be optimized. For example, when the random access resource usage rate corresponding to a certain SSB or a certain RACH occalation or BWP or a network slice is not high, the network device may reduce the corresponding random access resource. When the random access resource usage rate corresponding to a certain SSB or a certain RACH occalation or BWP or a network slice is too high, the network device may increase the corresponding random access resource.
In practical application, the RA preamble is identified by an index, and the measurement quantity of the RA preamble corresponding to each index or corresponding to a plurality of indexes can be measured.
Of course, the measurement amount of RA preamble corresponding to each SSB or to a plurality of SSBs may be measured.
The measurement amount of RA preamble corresponding to each RACH occipital or to a plurality of RACH occipital may be measured.
The measurement amount of RA preamble corresponding to each working BWP or to a plurality of BWP can be measured.
The measurement amount of RA preamble corresponding to each network slice or to a plurality of network slices may be measured.
The measurement amount of the RA preamble corresponding to the index is understood to be a measurement amount of the RA preamble based on the index (index level, which may also be referred to as RA preamble level). The measurement quantity may be the number of times of receiving the preamble corresponding to the index within a certain period of time; or may be a ratio of the number of times of reception of the preamble corresponding to the index to the configured RACH (such as a ratio of the number of times of reception configured for the index or a ratio of the number of times of reception configured for a plurality/all of the indexes) within a certain period of time.
Based on this, in an embodiment, the measurement quantity based on the rapprevious corresponding to the index includes at least one of the following:
The receiving times of one or more preamble in a fifth preset duration;
the ratio of the number of times of receiving one or more preambles to the configured RACH in the fifth preset duration.
Here, the configured RACH refers to the number of times of reception corresponding to the index of the configured RACH. In practical application, the configured RACH may include at least one of:
the number of times of reception of the preamble for one or more SSB configurations;
the number of times of reception of the preamble configured for one or more RACH occlusions;
the number of times of reception of preamble for all time-frequency resource configurations of one or more working BWP;
the number of times of reception of the preamble configured for one or more network slices;
based on the number of times the preamble is received by the cell configuration.
That is, a plurality of the above may be selected as the RACH to be configured, respectively.
In practical application, the fifth preset duration may be determined according to needs.
The measurement amount of the corresponding RA preamble of SSB can be understood as a measurement amount of SSB-based (SSB level) RA preamble. In practical application, the measurement quantity can be an RA preamble received on a time-frequency resource corresponding to the SSB within a certain period of time; the ratio of the number of RA preambles received on the time-frequency resource corresponding to the SSB for a certain period of time to the configured RACH (such as the preamble configured for the SSB or the preamble number configured with multiple/all SSBs, etc.).
Based on this, in an embodiment, the measurement amount of the rapprevious corresponding to the SSB includes at least one of the following:
counting the number of preambles received on one or more time-frequency resources corresponding to the SSB in a first preset duration;
and determining the ratio of the number of preambles received on the time-frequency resources corresponding to one or more SSB in the first statistical preset time length to the configured RACH.
Here, the configured RACH is a preamble number of the assigned RACH. In practical application, the configured RACH may include at least one of:
a preamble number configured for one or more SSBs;
a preamble number configured for one or more RACH occalations;
the number of preambles configured for all time-frequency resources of one or more working BWP;
a preamble number configured for one or more network slices;
based on the number of preambles of the cell configuration.
That is, a plurality of the above may be selected as the RACH to be configured, respectively.
The first preset duration can be determined according to requirements.
The measurement amount of RA preamble corresponding to RACH occision can be understood as a measurement amount of RA preamble based on RACH occision (RACH occasion level)). In practical application, the measurement quantity may be an RA preamble received on a time-frequency resource corresponding to RACH occalation within a certain time; the ratio of RA preamble received on the time-frequency resource corresponding to RACH occipital to configured RACH (such as preamble configured for the RACH occipital or preamble number of multiple/all RACH occipital configurations, etc.) may also be a certain period of time.
Based on this, in an embodiment, the measuring the measurement quantity of the rapprevious corresponding to RACH occision includes at least one of the following:
counting the number of preambles received on one or more RACH occlusions within a second preset time period;
and comparing the number of preambles received on one or more RACH occlusions in the counted second preset time period with the configured RACH.
Here, the configured RACH is a preamble number of the assigned RACH. In practical application, the configured RACH may include at least one of:
a preamble number configured for one or more RACH occalations;
the number of preambles configured for all time-frequency resources of one or more working BWP;
a preamble number configured for one or more network slices;
based on the number of preambles of the cell configuration.
That is, a plurality of the above may be selected as the RACH to be configured, respectively.
The second preset duration may be determined according to needs.
The measured quantity of the RA preamble corresponding to the working BWP may be understood as a preamble received on the corresponding time-frequency resource of the working BWP within a certain duration when the measured quantity of the RA preamble based on the BWP level is actually applied; or may be a ratio of a preamble received on a corresponding time-frequency resource of a BWP to a configured RACH (such as a preamble configured for the working BWP or to the number of preambles configured for multiple working bwrps) for a certain duration.
Based on this, in an embodiment, the measurement amount of the rapprevious corresponding to the measurement work BWP includes at least one of the following:
counting the number of preambles received on corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preambles received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH within a third predetermined duration of statistics is determined.
The configured RACH refers to the preamble number of the assigned RACH. In practical application, the configured RACH may include at least one of:
the number of preambles configured for all time-frequency resources of one or more working BWP;
a preamble number configured for one or more network slices;
based on the number of preambles of the cell configuration.
That is, a plurality of the above may be selected as the RACH to be configured, respectively.
The third preset duration may be determined according to needs.
The measurement quantity of the RA preamble corresponding to the network slice can be understood as a measurement quantity of the RA preamble based on the level of the network slice, and in practical application, the measurement quantity can be within a certain period of time, and the received preamble corresponding to the network slice (the network slice can be indicated by S-NSSAI (Single Network Slice Selection Assistance Information), namely, the network slice identifier); or may be a ratio of a preamble received corresponding to a network slice to a configured RACH (for example) configured for that network slice or to the number of preambles configured for multiple network slices for a certain period of time.
Based on this, in an embodiment, the measuring the measurement quantity of the rapprevious corresponding to the network slice includes at least one of the following:
counting the preamble number of one or more network slices received in a fourth preset time period;
a ratio of the number of preambles received by one or more network slices to the number of RACH configured within a fourth predetermined duration of statistics is determined.
Here, the configured RACH is a preamble number of the assigned RACH. In practical application, the configured RACH may include at least one of:
a preamble number configured for one or more network slices;
based on the number of preambles of the cell configuration.
That is, a plurality of the above may be selected as the RACH to be configured, respectively.
The fourth preset duration may be determined according to needs.
As can be seen from the above description, when obtaining the measurement quantity, the configured RACH may include at least one of:
a respective number of parameters for one or more SSB configurations;
corresponding parameter numbers for one or more random access time-frequency resource configurations;
a corresponding number of parameters for all time-frequency resource configurations of the one or more working BWP;
A respective number of parameters configured for one or more network slices;
based on the corresponding number of parameters of the cell configuration.
In practice, one or more of the above configurations may be selected as desired. When selecting, the number of the corresponding parameters to be configured is ensured to be larger than or equal to the number of the corresponding parameters to be counted.
In practical application, in order to realize measurement of RA preamble corresponding to a network slice, preamble configuration related to the network slice is required.
Based on this, in an embodiment, the method may further include: RA preamble configuration based on network slice is performed.
The configuration modes specifically include the following modes:
first, configuring different preambles for different network slices;
second, configuring the same preamble for multiple network slices;
thirdly, configuring a plurality of preamble for the same network slice;
fourth, different preamble configurations are used for network slice and non-network slice;
fifth, configure N groups of preambles, where N groups of preambles satisfy:
the N-1 group of preambles are applied to M network slices, and the remaining 1 preamble group is applied to other network slices except the M network slices;
sixth, configure N sets of network slice based preambles, where N sets of preambles satisfy:
The method is applied to M network slices, different network slice identifiers correspond to different preamble groups, and a plurality of network slices (a plurality of M network slices) are allowed to correspond to one preamble group, and N and M are integers greater than or equal to 1.
In the fourth mode, for the preamble applied to the network slice, different preamble groups may be configured for different network slices.
In the fifth mode, in practical application, in N-1 groups, one network slice may be corresponding to each group, and the remaining 1 groups are applied to other network slices than the network slice corresponding to the (N-1) group.
In practical application, M may be less than or equal to N, or greater than or equal to N, where N is an integer greater than or equal to 2.
Here, in the configured N preamble groups, the number of preambles in each group may be the same or different. The number of preambles in the preamble group is less than or equal to 64, according to the relevant specifications of the current protocol. That is, the number of preambles in a preamble group is related to the relevant specification of the protocol. As technology advances, when the relevant rules of the protocol change, the number of preambles in the preamble set also changes, which is not limited in the embodiment of the present invention.
After the configuration is completed, the network device may issue, to the terminal, a preamble configuration applied to the network slice, so as to obtain the measurement quantity.
In one embodiment, a preamble configured for a network slice may satisfy one of the following conditions:
the preamble configured for the network slice is selected from the preambles corresponding to the set (English expression is group) A;
the preamble configured for the network slice is selected from the preambles corresponding to the set B;
the preamble configured for the network slice is selected from the preambles corresponding to the non-contention random access;
the preamble configured for the network slice is selected from the preambles corresponding to the contention random access;
the preamble configured for the network slice is selected from the preambles corresponding to the SSB;
the preamble configured for the network slice is selected from the preambles corresponding to RACH occalation.
Wherein, the set A and the set B are applied to scenes with different information sizes and/or different path losses. For example, set a is applied to scenes with smaller Msg3 or larger path loss; set B applies to scenes with larger Msg3 and smaller path loss.
After the network device acquires the measurement values, the measurement values can be reported to other network elements with requirements.
Based on this, in an embodiment, the method may further include:
And reporting the obtained measurement quantity related information to other network elements.
Wherein the reported measurement quantity related information comprises at least one of the following:
measurement quantity of RA preamble corresponding to SSB;
a measurement quantity of RA preamble corresponding to RACH occision;
the measurement quantity of the RA preamble corresponding to the working BWP;
measuring quantity of RA preamble corresponding to network slice;
physical cell identification;
BWP identification;
BWP frequency domain location information;
network slice identification.
The BWP frequency domain location information may be center frequency point information of BWP or start location information of BWP frequency domain.
In practical applications, the other network elements may include at least one of the following:
a network manager;
other base stations;
a core network;
CU or DU.
When the network device is a CU, reporting measurement related information to a DU (which may be reported through an F1 interface); when the network device is a DU, measurement related information is reported to the CU (may be reported through the F1 interface).
In practical application, the network device may report measurement related information to the network manager through the OAM interface. The network device may report measurement related information to other base stations via an Xn interface. The network device may report measurement related information to the core network through the NG interface. The network device may report measurement related information to other base stations via an Xn interface.
According to the measuring method provided by the embodiment of the invention, the network equipment measures the measuring quantity of the RApreamble corresponding to the SSB; and/or measuring the measurement quantity of the RA preamble corresponding to the RACH occision; and/or, measuring the measurement quantity of the RA preamble corresponding to the working BWP; and/or, measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or, the measurement is based on the measurement quantity of one or more RA preambles, and the measurement quantity of the RA preambles of an index level (preamble level), an SSB level, an RACH occalation level, a BWP level and a network slice level is introduced, so that the network can know the random access condition in the cell with finer granularity, and further can perform RACH configuration optimization better.
In addition, the preamble configuration related to the network slice is carried out, and the configuration mode of the RA preamble based on the network slice is introduced, so that the measurement of the RA preamble corresponding to the network slice can be realized, and the PRACH configuration optimization can be further and better carried out.
Besides, the obtained measurement quantity related information is reported to other network elements, and the measurement quantity related information is reported to other network elements with requirements, so that the whole network can be optimized.
In order to implement the method of the embodiment of the present invention, the embodiment of the present invention further provides a measurement device, which is disposed on a network device, as shown in fig. 3, and the device includes: a measurement unit 31 for performing at least one of the following operations:
Measuring the measurement quantity of the RA preamble corresponding to the SSB; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the RACH occision; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the working BWP; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or the number of the groups of groups,
the measurement is based on a measurement quantity of one or more RA preambles.
As shown in fig. 3, the apparatus may further include: a determining unit 32 for determining a measurement quantity to be measured;
accordingly, the measuring unit 31 is configured to perform at least one of the above operations using the measurement amount determined by the determining unit 32.
In an embodiment, the measuring unit 31 is specifically configured to perform at least one of the following operations:
counting the number of preambles received on one or more time-frequency resources corresponding to the SSB in a first preset duration;
and determining the ratio of the number of preambles received on the time-frequency resources corresponding to one or more SSB in the first statistical preset time length to the configured RACH.
In an embodiment, the measuring unit 31 is specifically configured to perform at least one of the following operations:
counting the number of preambles received on one or more RACH occlusions within a second preset time period;
And determining the ratio of the number of preambles received on one or more RACH occlusions in the counted second preset time period to the configured RACH.
In an embodiment, the measuring unit 31 is specifically configured to perform at least one of the following operations:
counting the number of preambles received on corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preambles received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH within a third predetermined duration of statistics is determined.
In an embodiment, the measuring unit 31 is specifically configured to perform at least one of the following operations:
counting the preamble number of one or more network slices received in a fourth preset time period;
a ratio of the number of preambles received by one or more network slices to the configured RACH is determined for a fourth predetermined duration of statistics.
In an embodiment, the measuring unit 31 is specifically configured to:
counting the receiving times of one or more preambles in a fifth preset duration;
and determining the ratio of the number of times of receiving one or more preambles to the configured RACH in a fifth preset duration.
In practical application, in order to realize measurement of RA preamble corresponding to a network slice, preamble configuration related to the network slice is required.
Based on this, in an embodiment, the apparatus may further include: a configuration unit, configured to perform RA preamble configuration based on network slice in at least one of the following manners:
configuring different preambles for different network slices;
configuring the same preamble for a plurality of network slices;
configuring a plurality of preambles for the same network slice;
configuring different preamble by a network slice and a non-network slice;
configuring N groups of preambles, wherein the N groups of preambles meet the following conditions:
the N-1 group of preambles are applied to M network slices, and the remaining 1 preamble group is applied to other network slices except the M network slices;
configuring N groups of preambles based on network slices, wherein the N groups of preambles satisfy the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble groups, and a plurality of network slices (a plurality of M network slices) are allowed to correspond to one preamble group, and N and M are integers greater than or equal to 1.
After the configuration is completed, the configuration unit may issue, to the terminal, a preamble configuration applied to the network slice, so as to obtain the measurement quantity.
When the measurement unit 31 obtains the measurement values, the measurement values may be reported to other network elements having requirements.
Based on this, in an embodiment, the apparatus may further include: and the reporting unit is used for reporting the obtained measurement quantity related information to other network elements.
In practical application, the determining unit can be realized by a processor in the measuring device; the measuring unit 31 and the configuration unit can be realized by a processor in the measuring device in combination with a communication interface; the reporting unit may be implemented by a communication interface in the measuring device.
It should be noted that: in the measurement device provided in the above embodiment, only the division of each program module is used for illustration, and in practical application, the process allocation may be performed by different program modules according to needs, that is, the internal structure of the device is divided into different program modules, so as to complete all or part of the processes described above. In addition, the measuring device and the measuring method provided in the foregoing embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
Based on the hardware implementation of the program modules, and in order to implement the method on the network device side in the embodiment of the present invention, the embodiment of the present invention further provides a network device, as shown in fig. 4, where the network device 40 includes:
A communication interface 41 capable of information interaction with other devices;
and the processor 42 is connected with the communication interface 41 to realize information interaction with other devices, and is used for executing the method provided by one or more technical schemes on the network device side when running the computer program. And the computer program is stored on the memory 43.
Specifically, the processor 42 is configured to measure, through the communication interface 41, a measurement quantity of an RA preamble corresponding to SSB; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the RACH occision; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the working BWP; and/or the number of the groups of groups,
measuring the measurement quantity of the RA preamble corresponding to the network slice; and/or the number of the groups of groups,
the measurement is based on a measurement quantity of one or more RA preambles.
In one embodiment, the processor 42 is specifically configured to perform at least one of the following operations:
counting the number of preambles received on one or more time-frequency resources corresponding to the SSB in a first preset duration;
and determining the ratio of the number of preambles received on the time-frequency resources corresponding to one or more SSB in the first statistical preset time length to the configured RACH.
In one embodiment, the processor 42 is specifically configured to perform at least one of the following operations:
Counting the number of preambles received on one or more RACH occlusions within a second preset time period;
and determining the ratio of the number of preambles received on one or more RACH occlusions in the counted second preset time period to the configured RACH.
In one embodiment, the processor 42 is specifically configured to perform at least one of the following operations:
counting the number of preambles received on corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preambles received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH within a third predetermined duration of statistics is determined.
In one embodiment, the processor 42 is specifically configured to perform at least one of the following operations:
counting the preamble number of one or more network slices received in a fourth preset time period;
a ratio of the number of preambles received by one or more network slices to the configured RACH is determined for a fourth predetermined duration of statistics.
In one embodiment, the processor 42 is specifically configured to perform at least one of the following operations:
counting the receiving times of one or more preambles in a fifth preset duration;
and determining the ratio of the number of times of receiving one or more preambles to the configured RACH in a fifth preset duration.
In an embodiment, the processor 42 is further configured to perform, through the communication interface 41, network slice based random access preamble configuration by at least one of:
configuring different preambles for different network slices;
configuring the same preamble for a plurality of network slices;
configuring a plurality of preambles for the same network slice;
configuring different preamble by a network slice and a non-network slice;
configuring N groups of preambles, wherein the N groups of preambles meet the following conditions:
the N-1 group of preambles are applied to M network slices, and the remaining 1 preamble group is applied to other network slices except the M network slices;
configuring N groups of preambles based on network slices, wherein the N groups of preambles satisfy the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble groups, a plurality of network slices are allowed to correspond to one preamble group, and N and M are integers greater than or equal to 1.
In an embodiment, the communication interface 41 is configured to issue, to the terminal, a preamble configuration applied to a network slice.
In an embodiment, the communication interface 41 is configured to report the obtained measurement related information to other network elements.
Of course, in actual practice, the various components in network device 40 are coupled together by bus system 44. It is understood that the bus system 44 is used to enable connected communications between these components. The bus system 44 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration the various buses are labeled as bus system 44 in fig. 4.
The memory 43 in embodiments of the present invention is used to store various types of data to support the operation of the network device 40. Examples of such data include: any computer program for operation on network device 40.
The method disclosed in the above embodiment of the present invention may be applied to the processor 42 or implemented by the processor 42. The processor 42 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in the processor 42. The processor 42 described above may be a general purpose processor, a digital signal processor (DSP, digital Signal Processor), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 42 may implement or perform the methods, steps and logic blocks disclosed in embodiments of the present invention. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiment of the invention can be directly embodied in the hardware of the decoding processor or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 43, and the processor 42 reads information from the memory 43, in combination with its hardware, to perform the steps of the method as described above.
In an exemplary embodiment, the network device 40 may be implemented by one or more application specific integrated circuits (ASIC, application Specific Integrated Circuit), DSPs, programmable logic devices (PLD, programmable Logic Device), complex programmable logic devices (CPLD, complex Programmable Logic Device), field programmable gate arrays (FPGA, field-Programmable Gate Array), general purpose processors, controllers, microcontrollers (MCU, micro Controller Unit), microprocessors (Microprocessor), or other electronic components for performing the aforementioned methods.
It will be appreciated that the memory 43 of embodiments of the present invention may be either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. Wherein the nonvolatile Memory may be Read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable programmable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable programmable Read Only Memory (EEPROM, electrically Erasable Programmable Read-Only Memory), magnetic random access Memory (FRAM, ferromagnetic random access Memory), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk Read Only Memory (CD-ROM, compact Disc Read-Only Memory); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be random access memory (RAM, random Access Memory), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM, static Random Access Memory), synchronous static random access memory (SSRAM, synchronous Static Random Access Memory), dynamic random access memory (DRAM, dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (ddr SDRAM, double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random access memory (ESDRAM, enhanced Synchronous Dynamic Random Access Memory), synchronous link dynamic random access memory (SLDRAM, syncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, direct Rambus Random Access Memory). The memory described by embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.
In an exemplary embodiment, the present invention also provides a storage medium, i.e. a computer storage medium, in particular a computer readable storage medium, for example comprising a memory 43 storing a computer program executable by the processor 42 of the network device 40 for performing the steps of the network device side method described above. The computer readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash Memory, magnetic surface Memory, optical disk, or CD-ROM.
It should be noted that: "first," "second," etc. are used to distinguish similar objects and not necessarily to describe a particular order or sequence.
In addition, the embodiments of the present invention may be arbitrarily combined without any collision.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention.

Claims (31)

1. A method of measurement, applied to a base station, the method comprising:
measuring a measurement quantity of a random access preamble sequence of the synchronization signal/physical broadcast channel block SSB; and/or the number of the groups of groups,
measuring the measurement quantity of a random access preamble sequence corresponding to a random access time-frequency resource RACH occalasion; and/or the number of the groups of groups,
Measuring the measurement quantity of a random access preamble sequence corresponding to the working bandwidth part BWP; and/or the number of the groups of groups,
measuring the measurement quantity of a random access preamble sequence corresponding to the network slice; and/or the number of the groups of groups,
measuring a measurement quantity based on one or more random access preamble sequences corresponding to the index; wherein, the liquid crystal display device comprises a liquid crystal display device,
the reference point for the measurement is the medium access control MAC and layer 1 serving access point, and the measurement is used for the optimization of the random access configuration.
2. The method of claim 1, wherein the measurement of the random access preamble sequence of the SSB comprises at least one of:
the number of the preamble sequences received on the time-frequency resources of one or more SSB within a first preset duration;
the ratio of the number of the preamble sequences received on the time-frequency resources of one or more SSB(s) to the configured random access channel RACH within a first preset duration;
the number of preamble sequences received on the physical random access channel PRACH of one or more SSBs within a first preset time period.
3. The method of claim 1, wherein the measurement of the random access preamble sequence corresponding to RACH occalation comprises at least one of:
the number of preamble sequences received on one or more RACH occalations within a second preset duration;
The ratio of the number of preambles received on one or more RACH occlusions to the configured RACH for a second preset duration.
4. The method according to claim 1, wherein the measurement quantity of the random access preamble sequence corresponding to the working BWP comprises at least one of the following:
the number of the preamble sequences received on the corresponding time-frequency resources of one or more working BWP within a third preset duration;
a ratio of a number of preamble sequences received on corresponding time-frequency resources of the one or more operating BWP within a third preset time period to the configured RACH.
5. The method of claim 1, wherein the measured quantity of the random access preamble sequence corresponding to the network slice comprises at least one of:
the number of the preamble sequences of the one or more network slices received within the fourth preset time period;
a ratio of the number of preamble sequences of the one or more network slices received within the fourth preset time period to the configured RACH.
6. The method of claim 1, wherein the index-based measurement of the one or more random access preamble sequences comprises at least one of:
the receiving times of one or more preamble sequences in a fifth preset duration;
The ratio of the number of times of reception of one or more preamble sequences to the configured RACH in the fifth preset duration.
7. The method according to any of claims 2 to 6, wherein the configured RACH comprises at least one of:
a respective number of parameters for one or more SSB configurations;
corresponding parameter numbers for one or more random access time-frequency resource configurations;
a corresponding number of parameters for all time-frequency resource configurations of the one or more working BWP;
a respective number of parameters configured for one or more network slices;
based on the corresponding number of parameters of the cell configuration.
8. The method according to claim 1, wherein the method further comprises:
the random access preamble sequence configuration based on the network slice is performed in at least one of the following ways:
configuring different preamble sequences for different network slices;
configuring the same preamble sequence for a plurality of network slices;
configuring a plurality of leader sequences for the same network slice;
configuring different preamble sequences for network slices and non-network slices;
configuring N groups of leader sequences, wherein the N groups of leader sequences meet the following conditions:
the N-1 group of leader sequences are applied to M network slices, and the remaining 1 leader sequence group is applied to other network slices than the M network slices;
Configuring N groups of leader sequences based on network slices, wherein the N groups of leader sequences meet the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble sequence groups, a plurality of network slices are allowed to correspond to one preamble sequence group, and N and M are integers greater than or equal to 1.
9. The method of claim 8, wherein the preamble sequence configured for network slices satisfies one of the following conditions:
the leader sequence configured for the network slice is selected from the leader sequences corresponding to the set A;
the leader sequence configured for the network slice is selected from the leader sequences corresponding to the set B;
the preamble sequence configured for the network slice is selected from the preamble sequences corresponding to the non-contention random access;
the preamble sequence configured for the network slice is selected from the preamble sequences corresponding to the contention random access;
the preamble sequence configured for the network slice is selected from the preamble sequences corresponding to the SSB;
the preamble sequence configured for the network slice is selected from the preambles corresponding to RACH occalation.
10. The method of claim 8, wherein the method further comprises:
and transmitting the preamble sequence configuration applied to the network slice to the terminal.
11. The method according to claim 1, wherein the method further comprises:
and reporting the obtained measurement quantity related information to other network elements.
12. The method of claim 11, wherein the reported measurement related information includes at least one of:
measurement quantity of random access preamble sequence of SSB;
a measurement quantity of a random access preamble sequence corresponding to the RACH occasin;
measuring quantity of a random access preamble sequence corresponding to the working BWP;
measuring quantity of random access preamble sequence corresponding to network slice;
physical cell identification;
BWP identification;
BWP frequency domain location information;
network slice identification.
13. The method of claim 12, wherein the other network elements comprise at least one of:
a network manager;
other base stations;
a core network;
a Centralized Unit (CU) or a Distributed Unit (DU).
14. A measurement device, characterized by being provided at a base station, comprising: a measurement unit for:
measuring a measurement quantity of a random access preamble sequence of the SSB; and/or the number of the groups of groups,
measuring the measurement quantity of a random access preamble sequence corresponding to the RACH occasin; and/or the number of the groups of groups,
measuring the measurement quantity of the random access preamble sequence corresponding to the working BWP; and/or the number of the groups of groups,
Measuring the measurement quantity of a random access preamble sequence corresponding to the network slice; and/or the number of the groups of groups,
measuring a measurement quantity based on one or more random access preamble sequences corresponding to the index; wherein, the liquid crystal display device comprises a liquid crystal display device,
the reference point for the measurement is the MAC and layer 1 serving access point and the measurement is used for the optimization of the random access configuration.
15. The apparatus according to claim 14, wherein the measurement unit is specifically configured to perform at least one of the following operations:
counting the number of the preamble sequences received on the time-frequency resources of one or more SSB in a first preset time period;
determining a ratio of the number of preamble sequences received on the time-frequency resources of one or more SSBs to the configured RACH within a first predetermined duration of the statistics;
the number of preamble sequences received on PRACH of one or more SSBs within a first preset time period is counted.
16. The apparatus according to claim 14, wherein the measurement unit is specifically configured to perform at least one of the following operations:
counting the number of the preamble sequences received on one or more RACH occasins within a second preset time period;
a ratio of the number of preambles received on one or more RACH occlusions to the configured RACH for a second predetermined duration of statistics is determined.
17. The apparatus according to claim 14, wherein the measurement unit is specifically configured to perform at least one of the following operations:
counting the number of the preamble sequences received on the corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preamble sequences received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH is determined for a third statistical preset duration.
18. The apparatus according to claim 14, wherein the measurement unit is specifically configured to perform at least one of the following operations:
counting the number of the preamble sequences of one or more network slices received in the fourth preset time period;
a ratio of the number of preamble sequences of the one or more network slices received within the fourth predetermined time period of statistics to the configured RACH is determined.
19. The device according to claim 14, characterized in that the measuring unit is specifically configured to:
counting the receiving times of one or more preamble sequences in a fifth preset time period;
a ratio of the number of times of reception of one or more preamble sequences to the configured RACH in a fifth preset duration is determined.
20. The apparatus of claim 14, wherein the apparatus further comprises: a configuration unit, configured to perform random access preamble sequence configuration based on network slice in at least one of the following ways:
Configuring different preamble sequences for different network slices;
configuring the same preamble sequence for a plurality of network slices;
configuring a plurality of leader sequences for the same network slice;
configuring different preamble sequences for network slices and non-network slices;
configuring N groups of leader sequences, wherein the N groups of leader sequences meet the following conditions:
the N-1 group of leader sequences are applied to M network slices, and the remaining 1 leader sequence group is applied to other network slices than the M network slices;
configuring N groups of leader sequences based on network slices, wherein the N groups of leader sequences meet the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble sequence groups, a plurality of network slices are allowed to correspond to one preamble sequence group, and N and M are integers greater than or equal to 1.
21. The apparatus of claim 14, wherein the apparatus further comprises: and the reporting unit is used for reporting the obtained measurement quantity related information to other network elements.
22. A base station, comprising: a processor and a communication interface; wherein, the liquid crystal display device comprises a liquid crystal display device,
the processor is used for measuring the measurement quantity of the random access preamble sequence of the SSB through the communication interface; and/or the number of the groups of groups,
measuring the measurement quantity of a random access preamble sequence corresponding to the RACH occasin; and/or the number of the groups of groups,
Measuring the measurement quantity of the random access preamble sequence corresponding to the working BWP; and/or the number of the groups of groups,
measuring the measurement quantity of a random access preamble sequence corresponding to the network slice; and/or the number of the groups of groups,
measuring a measurement quantity based on one or more random access preamble sequences corresponding to the index; wherein, the liquid crystal display device comprises a liquid crystal display device,
the reference point for the measurement is the MAC and layer 1 serving access point and the measurement is used for the optimization of the random access configuration.
23. The base station of claim 22, wherein the processor is configured to perform at least one of:
counting the number of the preamble sequences received on the time-frequency resources of one or more SSB in a first preset time period;
determining a ratio of the number of preamble sequences received on the time-frequency resources of one or more SSBs to the configured RACH within a first predetermined duration of the statistics;
the number of preamble sequences received on PRACH of one or more SSBs within a first preset time period is counted.
24. The base station of claim 22, wherein the processor is configured to perform at least one of:
counting the number of the preamble sequences received on one or more RACH occasins within a second preset time period;
a ratio of the number of preambles received on one or more RACH occlusions to the configured RACH for a second predetermined duration of statistics is determined.
25. The base station of claim 22, wherein the processor is configured to perform at least one of:
counting the number of the preamble sequences received on the corresponding time-frequency resources of one or more working BWPs within a third preset duration;
a ratio of the number of preamble sequences received on corresponding time-frequency resources of the one or more working BWP's to the configured RACH is determined for a third statistical preset duration.
26. The base station of claim 22, wherein the processor is configured to perform at least one of:
counting the number of the preamble sequences of one or more network slices received in the fourth preset time period;
a ratio of the number of preamble sequences of the one or more network slices received within the fourth predetermined time period of statistics to the configured RACH is determined.
27. The base station of claim 22, wherein the processor is configured to perform at least one of:
counting the receiving times of one or more preamble sequences in a fifth preset time period;
a ratio of the number of times of reception of one or more preamble sequences to the configured RACH in a fifth preset duration is determined.
28. The base station of claim 22, wherein the processor is further configured to perform network slice based random access preamble sequence configuration through the communication interface by at least one of:
Configuring different preamble sequences for different network slices;
configuring the same preamble sequence for a plurality of network slices;
configuring a plurality of leader sequences for the same network slice;
configuring different preamble sequences for network slices and non-network slices;
configuring N groups of leader sequences, wherein the N groups of leader sequences meet the following conditions:
the N-1 group of leader sequences are applied to M network slices, and the remaining 1 leader sequence group is applied to other network slices than the M network slices;
configuring N groups of leader sequences based on network slices, wherein the N groups of leader sequences meet the following conditions:
the method is applied to M network slices, different network slice identifiers correspond to different preamble sequence groups, a plurality of network slices are allowed to correspond to one preamble sequence group, and N and M are integers greater than or equal to 1.
29. The base station according to claim 22, wherein the communication interface is configured to report the obtained measurement related information to other network elements.
30. A base station, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any of claims 1 to 13 when the computer program is run.
31. A storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method according to any of claims 1 to 13.
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