CN106559800B - Joint evaluation method and device for Radio Resource Management (RRM) measurement event - Google Patents

Joint evaluation method and device for Radio Resource Management (RRM) measurement event Download PDF

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CN106559800B
CN106559800B CN201510627327.6A CN201510627327A CN106559800B CN 106559800 B CN106559800 B CN 106559800B CN 201510627327 A CN201510627327 A CN 201510627327A CN 106559800 B CN106559800 B CN 106559800B
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measurement
evaluation
filtering
group
inner layer
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CN106559800A (en
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杨立
黄河
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ZTE Corp
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ZTE Corp
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation

Abstract

The invention provides a joint evaluation method and a device for Radio Resource Management (RRM) measurement events, wherein the method comprises the following steps: associating a RRM measurement event with a target serving cell set in the first group and/or a source serving cell set in the second group, wherein the RRM measurement event comprises one or more measurement evaluation quantities; filtering the one or more measurement evaluation values through a filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values; and performing dynamic joint evaluation on one or more dynamic analysis evaluation quantities. The invention solves the problem that the RRM measurement model and the definition in the related technology can only reflect the independent evaluation relation of the single measurement quantity measurement evaluation quantity, and fills the blank in the related technology.

Description

Joint evaluation method and device for Radio Resource Management (RRM) measurement event
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for joint evaluation of RRM measurement events.
Background
For any mobile cellular system (including network side network element nodes and terminal devices), whatever the specific Radio Access Technology (RAT) Technology behind it, it is composed of cellular network basic network element nodes (such as core network, gateway, centralized controller, base station, Radio Access node), terminals, and Cell which is the most basic coverage unit for providing mobile communication service, fig. 1 is a schematic diagram of a cellular network composed of macro-micro base stations (macro-micro cells) in the related art, as shown in fig. 1, the Cell downlink coverage reflects: the base station nodes (eNB, AP and the like) can realize an effective transmission range under the control of downlink data; the Cell downlink load reflects: the degree of usage and occupation of the current downlink air interface wireless resources of the base station node; cell uplink coverage reflects: the terminal can realize the effective transmission range under the control of uplink data, and the effective transmission range and the downlink coverage are possibly different; cell uplink load reflects: the degree of using and occupying the current air interface uplink wireless resource of the base station node and the downlink load may be different; in addition to the above basic RRM measurement and evaluation, there may be other Radio Resource Management (RRM) measurement attributes that reflect other aspects of the Cell, such as throughput, delay, backhaul bandwidth, and channel preemption rate.
A cellular network element node allocates related wireless resources for various communication services of a terminal, and configures a corresponding wireless Data Bearer (Data Radio Bearer, referred to as DRB for short); in order to realize the continuity of Quality of service (QOS) associated with DRB during mobility and to realize balanced chemical and physical use of uplink and downlink radio resources between base stations, a base station node realizes mobility control of reselection, redirection, handover, offloading and the like of a terminal between heterogeneous macro-micro intervals through a specific mobility flow. The base station node may also broadly include: and various nodes of the network upstream of the downstream base station node, such as a wireless controller, a wireless gateway, a core network element and the like, are managed.
The mobility control is embodied in: the terminal optionally performs measurement recording, filter analysis, threshold comparison and the like on RRM attribute dynamic quantities such as cell uplink and downlink coverage strength/quality, uplink and downlink load and the like based on network configuration parameters, and then generates one or more cell level granularity RRM measurement results, which are called as cell level RRM measurement; if a certain mobile process can be completed by the terminal autonomously, the terminal does not need to report the RRM measurement content result to the base station, the terminal directly selects a more appropriate target cell based on the local RRM measurement result, tries to camp on the target cell, automatically leaves the source cell after success, and the base station side cannot sense the movement of the UE. If a certain mobile process is controlled by the base station, the terminal generally needs to report all or part of the RRM measurement content results to the base station for reference, the base station comprehensively selects a more suitable target cell based on the RRM measurement content results reported by the terminal and local other reference conditions, and informs the terminal to try to access a new target cell, so that the target cell continues to carry various communication services of the terminal, and after success, the terminal leaves the source cell and releases the radio bearer resource allocated by the previous source cell. Regeneration of a diagnostic device allocation
Fig. 2 is a flowchart of handover between UEs and enbs under the same network element of a core network in the related art, and as shown in fig. 2, in an LTE cellular system, after a source base station eNB receives a Measurement report (Measurement Reports, abbreviated as MR) from a terminal UE, according to a Decision result of internal HO Decision, the following steps are performed in sequence: handover preparation (Handover), Handover Execution (Handover Execution), and Handover completion (Handover Complete) flow operations. The content of the MR is generated by the UE based on the comparison, analysis and evaluation between the dynamic measurement evaluation quantity obtained by the local actual measurement and the related parameters (such as threshold, period, offset, etc.) configured by the source eNB to the UE through RRC signaling to control the RRM measurement, and the UE can report the RRM measurement content result in a periodic and/or event manner to make a reference for the source eNB to make a handover decision. A single MR measurement report does not necessarily trigger the source eNB to make a handover.
Fig. 3 is a schematic diagram of a current old RRM measurement model in the related art, and as shown in fig. 3, the old RRM measurement model of the current LTE cellular system is: for a specific measurement object (cell) and measurement evaluation quantity, A is a preliminary measurement sampling value measured by UE according to internal implementation, B is an intermediate measurement sampling value obtained by Filtering the UE through a Layer 1 Filtering module Layer 1 in a certain sampling period, C is a dynamic analysis evaluation value obtained by Filtering the UE through a Layer 3Filtering module Layer 3 in a certain sampling period, C' is a reference analysis evaluation value (having the same measurement evaluation dimension with C), and D is a content result value reported by the UE in an MR message. In the old RRM measurement model, the behavior and parameter usage of the layer 3filtering processing module and the Evaluation and reporting Criteria (Evaluation of reporting Criteria) module are standardized by the LTE protocol, and the related configuration parameters come from RRC signaling.
The LTE protocol has defined multiple RRM measurement events for different mobility purposes, such as Event a1 Event representation: the measurement result of the UE on the RSRP or RSRQ of the strength of the pilot signal (which may be one or more) of the current serving cell (which has been subjected to the layer 3filtering process) is better (there is a middle neuro-buffer offset value Hys:) and lasts for more than a trigger time TTT of an event compared with the threshold value Thresh that the source eNB has configured through RRC signaling: the time trigger is used, so that the UE can locally generate an A1 event and trigger the MR to report; otherwise the a1 event cannot be generated. The specific meaning of other Event events may refer to the LTE protocol.
The old RRM measurement model and definition described above has the following characteristics: for a certain RRM measurement event, only a certain source serving Cell and/or a certain neighbor serving Cell (Neighbour Cell) are associated to form a 1-to-1 Cell evaluation Pair; a certain measurement evaluation (such as pilot strength/quality, or radio load) is always associated, a joint evaluation constraint relationship between different measurement evaluation is not considered, and control parameters configured by RRC signaling at least include Hys and TTT, which are kept unique during dynamic evaluation using a common inequality.
The used RRM measurement model and definition in the related art may be used to relate to the smallest radio coverage service granularity unit Cell in the mobile cellular system, so the base station may obtain the RRM measurement result of the Cell accuracy level, and refer to the mobile procedure of the Cell granularity level from the source Cell to the target Cell.
However, in the related art RRM measurement model and definition, when the UE is configured with multiple serving cells (e.g. carrier aggregation, multi-connection, heterogeneous WLAN offloading, etc.), and there are a large number of macro-micro heterogeneous neighbor cell deployments (e.g. in a heterogeneous network deployed by a super-dense small cell), the UE needs to perform RRM measurement evaluation analysis on all possible paired cells Pair, and generate a large amount of RRM measurement intermediate information, RRM event result information, and MR report content. In addition, because the joint evaluation relationship among a plurality of different RRM measurement estimates cannot be considered at the same time, the RRM result event can only reflect the independent evaluation relationship of a single measurement estimate, and cannot reflect the joint relationship among the different RRM measurement estimates, which may cause non-optimization of the mobile target selection.
Aiming at the problem that the RRM measurement model and the definition in the related technology can only reflect the independent evaluation relation of a single measurement evaluation quantity, no effective solution exists at present.
Disclosure of Invention
The invention provides a joint evaluation method and a joint evaluation device for a Radio Resource Management (RRM) measurement event, which are used for at least solving the problem that RRM measurement models and definitions in the related technology can only reflect the independent evaluation relation of a single measurement evaluation quantity.
According to an aspect of the present invention, there is provided a method for joint evaluation of RRM measurement events, including: associating a RRM measurement event with a target serving cell set in a first group and/or a source serving cell set in a second group, wherein the RRM measurement event comprises one or more measurement evaluation quantities; filtering the one or more measurement evaluation values through a filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values; and performing dynamic joint evaluation on the one or more dynamic analysis evaluation quantities.
Further, the filtering the one or more measurement evaluation values by the filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values includes: filtering the one or more measurement evaluation values by a first filtering module of the first group inner layer and/or the second group inner layer to obtain one or more intermediate measurement sampling values; and filtering the one or more intermediate measurement sampling values by a second filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values.
Furthermore, the filtering mode of the first filtering module is a standardized or non-standardized filtering mode, and the filtering mode of the second filtering module is a standardized filtering mode.
Further, dynamically jointly evaluating the one or more dynamic analysis evaluation values comprises: and combining the one or more dynamic analysis evaluation values with reference analysis evaluation values corresponding to the one or more dynamic analysis evaluation values and Radio Resource Control (RRC) configuration parameters for dynamic joint evaluation.
Further, the RRC configuration parameters include: a nerve buffer Offset value Hys, an Offset value Offset, and a time to trigger TTT.
According to an aspect of the present invention, there is provided an apparatus for joint evaluation of RRM measurement events, including: an association module, configured to associate a RRM measurement event with a target serving cell set in a first group and/or a source serving cell set in a second group, where the RRM measurement event includes one or more measurement estimates; the filtering module is used for filtering the one or more measurement evaluation values through the filtering module of the first group inner layer and/or the filtering module of the second group inner layer to obtain one or more dynamic analysis evaluation values; and the evaluation module is used for carrying out dynamic combined evaluation on the one or more dynamic analysis evaluation quantities.
Further, the filtration module comprises: the first filtering unit is used for filtering the one or more measurement evaluation values through a first filtering module of the first group inner layer and/or the second group inner layer to obtain one or more intermediate measurement sampling values; and the second filtering unit is used for filtering the one or more intermediate measurement sampling values through a second filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values.
Furthermore, the filtering mode of the first filtering module is a standardized or non-standardized filtering mode, and the filtering mode of the second filtering module is a standardized filtering mode.
Further, the evaluation module is further configured to combine the one or more dynamic analysis evaluation values with reference analysis evaluation values corresponding to the one or more dynamic analysis evaluation values, and radio resource control RRC configuration parameters to perform dynamic joint evaluation.
Further, the RRC configuration parameters include: a nerve buffer Offset value Hys, an Offset value Offset, and a time to trigger TTT.
Through the invention, the RRM measurement event is associated with the target service cell set in the first group and/or the source service cell set in the second group, wherein the RRM measurement event comprises one or more measurement evaluation values, and the one or more measurement evaluation values are filtered by the filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values, so that the dynamic joint evaluation can be carried out on the one or more dynamic analysis evaluation values.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a schematic diagram of a cellular network formed of macro-micro base stations (macro-micro cells) in the related art;
fig. 2 is a flowchart of handover between UEs and enbs under the same network element of a core network in the related art;
fig. 3 is a schematic diagram of a current old RRM measurement model in the related art;
fig. 4 is a flowchart of a measurement method of a radio resource management RRM measurement event according to an embodiment of the present invention;
fig. 5 is a block diagram of a joint evaluation apparatus for RRM measurement events according to an embodiment of the present invention;
fig. 6 is a block diagram of an alternative structure of a joint evaluation apparatus for RRM measurement events according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a multidimensional RRM measurement model of the present invention according to an alternative embodiment of the present invention;
fig. 8 is a schematic diagram of a multi-frequency-point heterogeneous cellular network formed by LTE macro-micro base stations (macro-micro cells) according to an alternative embodiment of the present invention;
fig. 9 is a schematic diagram of a heterogeneous cellular network composed of LTE macro base stations and WLAN APs nodes according to an alternative embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In this embodiment, a method for joint evaluation of RRM measurement events is provided, and fig. 4 is a flowchart of a method for RRM measurement events according to an embodiment of the present invention, as shown in fig. 4, the flowchart includes the following steps:
step S402: associating a RRM measurement event with a target serving cell set in the first group and/or a source serving cell set in the second group, wherein the RRM measurement event comprises one or more measurement evaluation quantities;
step S404: filtering the one or more measurement evaluation values through a filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values;
step S406: and performing dynamic joint evaluation on one or more dynamic analysis evaluation quantities.
Wherein the dynamic joint evaluation is that the evaluation result of the RRM module on other dynamic analysis evaluation values is affected by a certain dynamic analysis evaluation value.
Through steps S402 to S406 in this embodiment, a RRM measurement event is associated with a target serving cell set in a first group and/or a source serving cell set in a second group, where the RRM measurement event includes one or more measurement evaluation values, and the one or more measurement evaluation values are filtered by a filtering module in the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values, so as to perform dynamic joint evaluation on the one or more dynamic analysis evaluation values.
It should be noted that the serving cell referred to in this embodiment may be the smallest wireless coverage serving unit configurable and managed in the cellular system.
As to the manner of filtering the one or more measurement evaluation values by the filtering module of the first group inner layer and/or the second group inner layer to obtain the one or more dynamic analysis evaluation values in step S404 of this embodiment, in an optional embodiment of this embodiment, the following manner may be implemented:
step S11: filtering the one or more measurement evaluation values through a first filtering module of the first group inner layer and/or the second group inner layer to obtain one or more intermediate measurement sampling values;
step S12: and filtering the one or more intermediate measurement sampling values by a second filtering module in the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values.
In the present embodiment, the first filter module is a standardized or non-standardized filter system, and the second filter module is a standardized filter system. Namely, the standardized filtering mode is controlled by the filtering of the RRC parameter configuration.
In another optional implementation manner of this embodiment, the manner of performing dynamic joint evaluation on the one or more dynamic analysis evaluation values involved in step S406 may be implemented by: and combining the one or more dynamic analysis evaluation values with reference analysis evaluation values corresponding to the one or more dynamic analysis evaluation values and Radio Resource Control (RRC) configuration parameters for dynamic joint evaluation.
The RRC configuration parameters involved in this embodiment may include: a nerve buffer Offset value Hys, an Offset value Offset, and a time to trigger TTT.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, a joint evaluation device for RRM measurement events is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and the description of the device is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 5 is a block diagram of a joint evaluation apparatus for RRM measurement events in radio resource management according to an embodiment of the present invention, as shown in fig. 5, the apparatus includes: an associating module 52, configured to associate a RRM measurement event with a target serving cell set in the first group and/or a source serving cell set in the second group, where the RRM measurement event includes one or more measurement estimates; a filtering module 54 coupled to the associating module 52 for filtering the one or more measurement evaluation values through the filtering modules of the first and/or second intra-group layers to obtain one or more dynamic analysis evaluation values; an evaluation module 56, coupled to the filtering module 54, is configured to perform a dynamic joint evaluation on the one or more dynamic analysis evaluation values.
Fig. 6 is a block diagram of an alternative structure of the apparatus for joint evaluation of RRM measurement events according to the embodiment of the present invention, and as shown in fig. 6, the filtering module 54 includes: a first filtering unit 62, configured to filter the one or more measurement evaluation values through a first filtering module of the first group inner layer and/or the second group inner layer to obtain one or more intermediate measurement sampling values; and the second filtering unit 64 is coupled with the first filtering unit 62 and is used for filtering the one or more intermediate measurement sampling values through a second filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values.
Optionally, the filtering mode of the first filtering module is a standardized or non-standardized filtering mode, and the filtering mode of the second filtering module is a standardized filtering mode.
The evaluation module 56 is further configured to combine the one or more dynamic analysis evaluation values with a reference analysis evaluation value corresponding to the one or more dynamic analysis evaluation values, and a radio resource control RRC configuration parameter for dynamic joint evaluation.
The RRC configuration parameters involved in this embodiment include: a nerve buffer Offset value Hys, an Offset value Offset, and a time to trigger TTT.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in a plurality of processors.
The invention will now be illustrated with reference to an alternative embodiment thereof;
this optional embodiment provides a method for measuring a RRM measurement event in radio resource management, where the RRM measurement event involved in this embodiment is always associated with a source serving cell set (number is from 1 to N) determined by a certain group and a target serving cell set (number is from 1 to M, M may be different from N) determined by a certain group, and is also associated with 1 or more different measurement evaluation quantities, such as strength quality of pilot, or radio load, to increase joint evaluation between different measurement evaluation quantities, and parameters of RRC configuration at least also include: hys and TTT, which may or may not change during the dynamic joint evaluation according to standardized rules.
Fig. 7 is a schematic diagram of a multidimensional RRM measurement model of the present invention according to an alternative embodiment of the present invention, as shown in fig. 7, compared to an old RRM measurement model in Figure 3, Layer 1 Filtering is upgraded to an intra-group Layer 1 Filtering module, whose input is changed from a preliminary measurement sample value of a single associated cell to a preliminary measurement sample value of n associated cell sets (belonging to the same group), and the behavior of the intra-group Layer 1 Filtering module may depend on the implementation of the UE and is not normalized; layer 3Filtering is upgraded to a group inner Layer 3Filtering module, the input of the Filtering module is changed from the middle measurement sampling value of a single associated cell to n middle measurement sampling values, and the behavior of the group inner Layer 3Filtering processing module needs to be controlled by RRC configuration parameters and can be standardized; the RRM reporting Evaluation criterion module is consistent with the Evaluation principle of the Evaluation of reporting criterion module in the related art (using the basic inequality principle), and inputs a single C value and a C' reference value, and outputs a D value, but in the multidimensional RRM measurement model, there are f parallel Evaluation links (f is the number of different RRM measurement Evaluation values) for different measurement Evaluation values, which can jointly perform dynamic joint Evaluation on different measurement Evaluation values C1 … Cf, and generate f Evaluation content result values D1 … Df. RRC parameters such as Hys and TTT may be changed or remain unchanged during the evaluation of the dynamic analysis evaluation values C1, C2 … Cf associated with the group cells.
Alternative embodiment 1
Fig. 8 is a schematic diagram of a multi-frequency heterogeneous cellular network composed of LTE macro-micro base stations (macro-micro cells), and as shown in fig. 8, under the coverage of an LTE macro Cell deployed at a frequency F1, Small Cell Cluster sets of Small Cell clusters 1 and 2 are super-densely deployed at a frequency F2, and Small Cell Cluster sets of Small Cell clusters 3 and 4 are also super-densely deployed at a frequency F3 in the same hot spot area; the mobility of the UE in these small cell group sets is relatively simple, and may not involve signaling interaction for controlling the gateway node and its upstream network node of these small cell groups, so that the mobility of the UE in the small cell group is transparent to the gateway node and its upstream network node, and the UE only needs to update the wireless links with different small cells or TPs in the small cell group at the air interface according to the RRM measurement result of the cell accuracy level. In contrast, the mobility of the UE between these small cell group sets is complex, and must involve signaling interaction of the gateway node controlling these small cell groups and its upstream network nodes, so the mobility of the UE between small cell groups is not transparent to the gateway node and its upstream network nodes. If the UE updates the radio link of a small cell or TP in the new target small cell group only according to the RRM measurement result of the cell accuracy level, and then determines the target small cell group to which the UE belongs, it may not be guaranteed that the new target small cell group is better than the source target small cell group; or when the UE is confronted with multiple target small cell groups as mobility candidates, there may be no guarantee that an optimal new target small cell group is selected. Therefore, with the multi-dimensional RRM measurement model of the alternative embodiment, an evaluation of the small cell group granularity level may be obtained, and the method includes the steps of:
step 501: determining the number n of cells in a source Small Cell group and the number f of measurement evaluation quantities to be evaluated, and assuming that the UE is in Small Cell Cluster 1 at the moment, namely n is 4; it is assumed that only one measurement estimate, i.e. f1, needs to be evaluated for the cell pilot downlink signal quality RSRQ. Obtaining an RRM measurement model shown as Figure 8 according to the multidimensional RRM measurement model;
step 502: a1, A2, A3 and A4 respectively correspond to pilot downlink signal quality RSRQ preliminary measurement sampling values of 4 cells in a Small Cell Cluster 1 group, filtering of the group inner layer 1 is carried out by adopting a terminal internal implementation mode (the filtering mode does not need to be standardized), and middle measurement sampling values B1, B2, B3 and B4 are obtained; then, the dynamic analysis evaluation value C1 is obtained by processing the data in a standardized group inner layer 3filtering mode; the processing mode of the group inner layer 3 filtration is as follows:
T1(n)＝(1-a1)*T1(n-1)+a1*B1(n)；
T2(n)＝(1-a2)*T2(n-1)+a2*B2(n)；
T3(n)＝(1-a3)*T3(n-1)+a3*B3(n)；
T4(n)＝(1-a4)*T4(n-1)+a4*B4(n)；
C1(n)＝Averge{T1(n),T2(n),T3(n),T4(n)}
in the above formula, n is a time sequence number or a sequence, T (n-1) represents a previous time value of T (n) (an initial value T (0) is 0), a1/a2/a3/a4 is a filtering coefficient (parameters which can be configured by RRC, and may be different), and T1/T2/T3/T4 are intermediate values filtered by the group inner layer 3 of 4 intermediate measurement sample values, and are processed by a specific Average algorithm (which can be configured and selected by RRC) to obtain a unique dynamic analysis evaluation value C1.
Step 503: according to the processing mode similar to the step 2, the terminal performs related measurement filtering processing on other RRC-configured measurement object SmallCell Cluster groups to obtain C1' of each SmallCell Cluster as reference. Based on the LTE RRM measurement event definitions already standardized in Figure 4 above, the corresponding RRM events towards the set of cell groups may be defined as:
event a1 (new): the currently serving cell group is better than a certain Threshold, i.e. C1-hys > Threshold;
event a2 (new): the current serving cell group is worse than a certain Threshold, i.e. C1+ hys < Threshold;
event a3 (new): the neighbor cell group is one offset better than the currently serving cell group by C1 '-hys' > C1+ hys + offset
Event a4 (new): the neighbor cell group is better than a certain Threshold, i.e., C1 '-hys' > Threshold;
event a5 (new): the current serving cell group is worse than a certain Threshold, i.e. C1+ hys < Threshold 1; meanwhile, the adjacent cell group is better than a certain Threshold, namely C1 '-hys' > Threshold 2;
alternative embodiment two
Fig. 9 is a schematic diagram of a heterogeneous cellular network including an LTE macro base station and WLAN APs nodes according to an alternative embodiment of the present invention, and as shown in fig. 9, under coverage of an LTE macro cell deployed at an F1 frequency point, AP Group sets of WLAN AP groups 1 and 2 are super-densely deployed in a 2.4G unlicensed frequency band, and in addition, in the same hot spot coverage area, AP Group sets of WLAN AP groups 3 and 4 are also super-densely deployed in a 5G unlicensed frequency band; under the above-mentioned scenario that the AP group and the macro base station make LWA tight coupling, the mobility of the UE in these AP group sets is relatively simple, and may not involve signaling interaction of the gateway node and its upstream network control node that control these AP groups, so that the movement of the UE in the AP group is transparent to the gateway node and its upstream network control node, and the UE only needs to update the wireless links with different APs in the AP group at the WLAN air interface according to the RRM measurement result of the WLAN cell accuracy level. In comparison, the mobility of the UE among these AP group sets is complex, and signaling interaction between the gateway node controlling these AP groups and its upstream network control node must be involved, so that the mobility of the UE among the AP groups is not transparent to the gateway node and its upstream network control node. If the UE updates the wireless link with an AP in the new target AP group only according to the RRM measurement result of the WLAN cell accuracy level, and then determines the target AP group to which the UE belongs, it may not be guaranteed that the new target AP group is better than the source target AP group; or when the UE faces multiple target AP groups as mobility candidates, it may not be guaranteed to select an optimal new target AP group. Therefore, the evaluation of the granularity level of the AP group can be obtained through the multidimensional RRM measurement model in this optional embodiment, and the method includes the following steps:
step 601: determining the number n of APs in a source AP Group and the number f of measurement evaluation quantities to be evaluated, and assuming that the WLAN tight coupling shunt of the UE is in an AP Group 1 at the moment, namely n is 5; suppose that two measurement evaluation quantities, namely f2, of the pilot Beacon downlink signal strength RSSI and the air interface load (channel utilization) of the WLAN cell need to be jointly evaluated. From the multidimensional RRM measurement model, an RRM measurement model shown as Figure 10 can be obtained
Step 602: a1, a2, A3, a4 and a5 respectively correspond to pilot downlink signal strength RSSI and preliminary measurement sampling values of WLAN air interface loads of 5 WLAN cells in an AP Group 1 Group, and a filtering process (which may not be standardized) is performed on the Group inner layer 1 in a manner realized inside a terminal to obtain intermediate measurement sampling values B1, B2, B3, B4 and B5; then, the dynamic analysis evaluation value C1 (corresponding to the dynamic analysis evaluation value of the WLAN pilot downlink signal strength RSSI) and C2 (corresponding to the dynamic analysis evaluation value of the WLAN air interface load channelutility) are obtained through the processing of the specific group inner layer 3filtering module; the filtering treatment mode of the group inner layer 3 is as follows:
T1(n)＝(1-a1)*T1(n-1)+a1*B1(n)；
T2(n)＝(1-a2)*T2(n-1)+a2*B2(n)；
T3(n)＝(1-a3)*T3(n-1)+a3*B3(n)；
T4(n)＝(1-a4)*T4(n-1)+a4*B4(n)；
T5(n)＝(1-a5)*T5(n-1)+a5*B5(n)；
C1(n)＝Max{T1(n),T2(n),T3(n),T4(n),T5(n)}；
C2(n)＝Average{T1(n),T2(n),T3(n),T4(n),T5(n)}；
in the above formula, n is a time sequence number or a sequence, T (n-1) represents a previous time value of T (n) (an initial value T (0) is 0), a1/a2/a3/a4/a5 is a filter coefficient (a parameter which can be configured by RRC and may be different), T1/T2/T3/T4/T5 is an intermediate value filtered by the group inner layer 3 of 5 intermediate measurement sample values, corresponds to the WLAN pilot downlink signal strength RSSI measurement evaluation value, and obtains a dynamic analysis evaluation value C1 through a process of taking a maximum value (which can be configured and selected by RRC); and (3) obtaining a dynamic analysis evaluation value C2 through processing (can be configured and switched by RRC) by a specific Average algorithm according to the WLAN air interface load ChannelUtilization measurement evaluation value.
Step 603: according to the processing mode similar to step 2, the terminal performs the relevant measurement filtering processing on other measurement object APgroup groups configured by RRC, and obtains C1 'and C2' of each AP Group as reference. New RRM measurement events may be defined according to WLAN system characteristics, such as:
event a1 (new): the WLAN average empty load of the currently serving AP Group;
under the premise that C2 is greater than threshold (channeliUtilization), the maximum pilot strength is better than a certain threshold, namely C1-hys is greater than threshold (RSSI);
event a2 (new): on the premise that the maximum pilot strength C1> threshold (rssi) of the currently serving AP Group, the average air interface load is better than a certain threshold, i.e., C2-hys > threshold (channeliutilization);
event a3 (new): on the premise of average air interface load C2 '< Threshold' (ChannelUtilization) of a certain adjacent AP Group, the maximum pilot strength of the currently serving AP Group is worse than a certain Threshold, that is, C1+ hys < Threshold (rssi);
event a4 (new): on the premise of average air interface load C2 ' < Threshold ' (ChannelUtilization) of a certain adjacent AP Group, the maximum pilot strength C1 ' of the adjacent AP Group is better than the maximum pilot strength of the currently serving AP Group by an offset, that is, C1 ' -hys ' > C1+ hys + offset;
it can be seen that, compared with the RRM measurement model in the related art, in the optional embodiment, the evaluation object reported by the new RRM event in the embodiment is changed from a single WLAN cell to a WLAN AP Group, and the plurality of evaluated measurement evaluation quantities may be mutually referred to form a constraint relationship, so that various required new RRM measurement events may be constructed by using a simple inequality principle.
The embodiment of the invention also provides a storage medium. Alternatively, in the present embodiment, the storage medium may be configured to store program codes for performing the following steps:
s1: associating a RRM measurement event with a target serving cell set in the first group and/or a source serving cell set in the second group, wherein the RRM measurement event comprises one or more measurement evaluation quantities;
s2: filtering the one or more measurement evaluation values through a filtering module of the first group inner layer and/or the second group inner layer to obtain one or more dynamic analysis evaluation values;
s3: and performing dynamic joint evaluation on one or more dynamic analysis evaluation quantities.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for joint evaluation of RRM measurement events, comprising:
associating a RRM measurement event with a target serving cell set in a first group and a source serving cell set in a second group, wherein the RRM measurement event comprises a plurality of measurement evaluation quantities;
filtering the plurality of measurement evaluation values through the filtering modules of the first group inner layer and the second group inner layer to obtain a plurality of dynamic analysis evaluation values;
and performing dynamic joint evaluation on the plurality of dynamic analysis evaluation quantities.
2. The method of claim 1, wherein filtering the plurality of measurement estimates by the filtering modules of the first group inner layer and the second group inner layer to obtain a plurality of dynamic analysis estimates comprises:
filtering the measurement evaluation quantities through the first filtering modules of the first group inner layer and the second group inner layer to obtain a plurality of intermediate measurement sampling values;
and filtering the plurality of intermediate measurement sampling values through a second filtering module of the first group inner layer and the second group inner layer to obtain a plurality of dynamic analysis evaluation values.
3. The method of claim 2, wherein the first filter module is a standardized or non-standardized filter and the second filter module is a standardized filter.
4. The method of claim 1, wherein dynamically jointly evaluating the plurality of dynamic analysis evaluation values comprises:
and combining the plurality of dynamic analysis evaluation values with reference analysis evaluation values corresponding to the plurality of dynamic analysis evaluation values and Radio Resource Control (RRC) configuration parameters for dynamic joint evaluation.
5. The method of claim 4, wherein the RRC configuration parameters comprise: a nerve buffer Offset value Hys, an Offset value Offset, and a time to trigger TTT.
6. An apparatus for joint assessment of RRM measurement events, comprising:
an association module, configured to associate a RRM measurement event with a target serving cell set in a first group and a source serving cell set in a second group, where the RRM measurement event includes a plurality of measurement estimates;
the filtering module is used for filtering the plurality of measurement evaluation values through the filtering modules of the first group inner layer and the second group inner layer to obtain a plurality of dynamic analysis evaluation values;
and the evaluation module is used for carrying out dynamic joint evaluation on the plurality of dynamic analysis evaluation quantities.
7. The apparatus of claim 6, wherein the filtering module comprises:
the first filtering unit is used for filtering the plurality of measurement evaluation values through the first filtering modules of the first group inner layer and the second group inner layer to obtain a plurality of intermediate measurement sampling values;
and the second filtering unit is used for filtering the plurality of intermediate measurement sampling values through second filtering modules of the first group inner layer and the second group inner layer to obtain a plurality of dynamic analysis evaluation values.
8. The apparatus of claim 7, wherein the first filtration module is a standardized or non-standardized filtration and the second filtration module is a standardized filtration.
9. The apparatus of claim 6,
the evaluation module is further configured to combine the plurality of dynamic analysis evaluation values with reference analysis evaluation values corresponding to the plurality of dynamic analysis evaluation values and radio resource control RRC configuration parameters to perform dynamic joint evaluation.
10. The apparatus of claim 9, wherein the RRC configuration parameter comprises: a nerve buffer Offset value Hys, an Offset value Offset, and a time to trigger TTT.
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