WO2013091344A1 - Procédé, dispositif et système d'optimisation de cellules dans un système de communication mobile - Google Patents

Procédé, dispositif et système d'optimisation de cellules dans un système de communication mobile Download PDF

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Publication number
WO2013091344A1
WO2013091344A1 PCT/CN2012/075777 CN2012075777W WO2013091344A1 WO 2013091344 A1 WO2013091344 A1 WO 2013091344A1 CN 2012075777 W CN2012075777 W CN 2012075777W WO 2013091344 A1 WO2013091344 A1 WO 2013091344A1
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Prior art keywords
cell
optimized
neighboring
kpi
handover
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PCT/CN2012/075777
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English (en)
Chinese (zh)
Inventor
庄宏成
罗泽宙
陈劼
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华为技术有限公司
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Publication of WO2013091344A1 publication Critical patent/WO2013091344A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00835—Determination of neighbour cell lists

Definitions

  • the present invention relates to the field of communications, and in particular, to a cell optimization method, apparatus, and system in a mobile communication system.
  • SON self organizing network
  • MRO mobility robustness optimization
  • MLB mobility load balancing
  • the main purpose of the MRO is to minimize the number of ping-pong handovers in the handover process and improve the handover performance.
  • the main purpose of the MLB is to resolve the imbalance between the cells and to switch the users of the overloaded cell to the light-loaded cell.
  • the main parameters adjusted in MRO and MLB are switching parameters, including switching hysteresis parameters Hysteresis, switching trigger time Time-To-Trigger and switching offset Cell Individual Offset.
  • the MRO is generally implemented by adjusting the switching hysteresis parameter and the switching trigger time
  • the MLB is implemented by adjusting the switching offset.
  • the purpose is to enable the user in the overlapping area of the adjacent cell to select a more suitable serving cell.
  • the switching parameters of the MRO and MLB adjustments are related to each other, the MRO and the MLB are bound to affect each other, and the impact on the performance of the other party is difficult to determine, and sometimes even conflicting.
  • the solution to the MRO and MLB function conflict problem in the prior art is to coordinate the conflict between the MRO and the MLB function by introducing a coordination function unit.
  • the coordination function unit detects the impact of the MLB on the MRO performance. If it is worse, it switches back the offset or closes the MLB-segment time. If the MLB is running, the MRO is coordinated, and the MRO is not allowed to block the MLB.
  • coordination function unit detection The abnormal behavior of KPI (Key Performance Indicator), especially the KPI caused by MLB, is too large. At this time, the MLB offset adjustment or MLB is cancelled.
  • KPI Key Performance Indicator
  • the prior art solution does not fundamentally solve the problem of conflict between the MRO and the MLB function, but only when the MRO and the MLB conflict with each other, blocking or shutting down one of the functions, resulting in a decrease in user satisfaction.
  • the embodiment of the invention provides a cell optimization method, a network controller and a communication system, and jointly optimizes the MRO and the MLB to obtain a cell that compromises the performance of the MRO and the MLB by jointly optimizing the MRO and the MLB for the worst performing cell and the corresponding neighboring cell. To switch the offset, reduce the performance conflict between MRO and MLB, and improve the user experience.
  • An embodiment of the present invention provides a cell optimization method, including:
  • the presence of the to-be-switched terminal is such that the KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold;
  • the handover area includes the to-be-optimized cell and An overlapping area of each adjacent area of the cell to be optimized;
  • the neighboring area corresponding to the overlapping area where the to-be-switched terminal is located is used as the to-be-optimized neighboring area; and the cell-to-optimized neighboring area of the to-be-optimized neighboring area is obtained, and the cell-to-intercept offset is obtained, where the cell
  • the handover offset is a handover offset of the to-be-optimized cell with respect to any one of the to-be-optimized neighboring cells, and a set of handover offsets of any one of the to-be-optimized neighboring cells with respect to the to-be-optimized cell
  • the cell-to-switching offset is used to configure the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells, so that the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells is to be optimized from the to-be-optimized neighbor
  • the signal quality received by the area is better than the signal
  • the embodiment of the invention further provides a cell optimization device, which includes:
  • An obtaining module configured to acquire KPIs of the MROs of the managed cells and KPIs of the MLBs;
  • a calculation module configured to calculate, according to a KPI of the MRO of each cell and a KPI of the MLB, a joint performance indicator of each cell;
  • a first selection module configured to select a cell with the worst joint performance indicator as the cell to be optimized
  • a second selection module select a terminal to be switched from the terminal located in the handover area, where the presence of the to-be-switched terminal causes the to-be-optimized
  • the KPI of the MLB of the cell is higher than a preset first threshold
  • the handover area includes an overlapping area of each of the neighboring cells of the to-be-optimized cell and the to-be-optimized cell;
  • a third selecting module configured to use the neighboring area corresponding to the overlapping area where the switching to be switched terminal is located as a neighboring area to be optimized
  • a second acquiring module configured to acquire, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-tuned offset is the to-be-optimized cell relative to the a handover offset of a neighbor to be optimized, and a set of handover offsets of the any neighbor to be optimized relative to the to-be-optimized cell; the cell-to-handover offset is used for configuration a to-be-switched terminal corresponding to the to-be-optimized neighboring cell, so that the signal quality of the to-be-switched terminal corresponding to the to-be-optimized neighboring cell is better than that received from the to-be-optimized cell.
  • Signal quality, and the KPI of the MRO of the cell to be optimized is lower than a preset second threshold;
  • a configuration module configured to configure, by the cell, a handover offset to the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells.
  • the embodiment of the present invention further provides a communication system, including: a network controller and at least one base station; the base station is configured to: calculate a mobility performance optimization MRO of the local cell and a key performance indicator KPI of the mobility load balancing MLB;
  • the network controller is configured to acquire a key performance indicator KPI of the mobility robust optimized MRO and the mobility load balancing MLB of each managed cell; and calculate, according to the KPI of each cell and the KPI of the MLB, the calculated The joint performance index is selected as the cell with the worst joint performance indicator as the cell to be optimized; the terminal to be switched is selected from the terminal located in the handover area, and the presence of the terminal to be switched is such that the KPI of the MLB to be optimized is higher than the pre-
  • the first threshold is set;
  • the handover area includes an overlap area of each of the neighboring areas of the to-be-optimized cell and the to-be-optimized cell; and the neighboring area corresponding to the overlapping area where the handover to-be-switched terminal is located is regarded as Optimizing a neighboring cell; obtaining, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-switching offset
  • the signal quality received by the cell to be optimized, and the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold; and the cell-to-switching offset is configured to correspond to any one of the to-be-optimized neighboring cells.
  • the terminal to be switched is configured to correspond to any one of the to-be-optimized neighboring cells.
  • the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the KPI statistics of the MRO and the MLB of the cell, and adjusts and configures the switching offset in the joint optimization process.
  • the number of ping-pong switching is also minimized, and the performance of MRO and MLB is compromised, thereby effectively reducing the performance conflict between MRO and MLB and improving the user experience.
  • FIG. 1 is a structural diagram of an LTE self-organizing network system according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a cell optimization method according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a cell model according to an embodiment of the present invention.
  • FIG. 4 is a flowchart of a method for selecting a terminal to be switched according to an embodiment of the present invention
  • FIG. 5 is a schematic diagram of a cell handover model according to an embodiment of the present invention
  • FIG. 6 is a schematic diagram of a method for determining a neighboring cell to be optimized according to an embodiment of the present invention
  • FIG. 7 is a schematic diagram of a cell optimization apparatus according to an embodiment of the present disclosure.
  • FIG. 8 is a structural diagram of a communication system according to an embodiment of the present invention.
  • FIG. 9 is a structural diagram of a joint optimization unit of a communication system according to an embodiment of the present invention. detailed description
  • the technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, instead of All embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
  • the technical solution of the present invention can be applied to various communication systems, such as LTE (Long Term Evolution), Code Division Multiple Access (CDMA), and Wideband Code Division Multiple Access (CDMA).
  • Communication systems such as WCDMA (WCDMA, Wideband Code Division Multiple Access), Global System for Mobile Communications (GSM), and General Packet Radio Service (GPRS).
  • WCDMA Wideband Code Division Multiple Access
  • GSM Global System for Mobile Communications
  • GPRS General Packet Radio Service
  • FIG. 1 is a structural diagram of an LTE self-organizing network system according to an embodiment of the present invention. As can be seen from Figure 1,
  • the LTE ad hoc network includes a SON controller and at least one base station, and the base station can cover at least one cell; the functional unit of the base station is responsible for the KPI statistics and load statistics and predictions of the MRO and the MLB of the cell, and is regularly reported to the cell.
  • the SON controller is responsible for making a decision to adjust the handover offset parameter, and sends a new configuration of the handover offset parameter to the corresponding base station, and the base station accordingly adjusts the terminal in the coverage cell.
  • an embodiment of the present invention provides a cell optimization method, which is applied to an LTE self-organizing network as shown in FIG. 1, and the method includes:
  • Step 201 Acquire a KPI of the MRO and the MLB of each managed cell;
  • the KPI of the MRO of the cell includes, but is not limited to, the handover failure rate and the number of ping-pong handovers.
  • the KPI of the MLB of the cell includes, but is not limited to, the number of unsatisfied users, the USN, and the dropped call rate.
  • the ping-pong handover number HPP and the unsatisfactory user number USN of the cell are respectively selected as the KPIs of the cell MRO and the MLB; of course, it can be understood that, in another embodiment, the handover failure rate and the dissatisfaction may also be separately selected.
  • the number of users USN is the KPI of the cell MRO and the MLB. This embodiment of the invention is not particularly limited.
  • the number of ping-pong handovers of the cell is HPP. It can be counted based on the handover message: Specifically, taking the cell C as an example, the HPP of the cell C at the start of the statistics. Initialized to 0, in a statistical period, each time the cell c receives the handover request message (Handover request) of the terminal, the cell information of the terminal staying from the terminal is obtained from the terminal history information in the Handover request, if two The GCI (Cdl Global Identity) of the previous cell in the cell information is the same as the local cell, and if the dwell time of the latter cell is less than the preset ping-pong time threshold, the terminal is considered to be a ping-pong handover terminal, and the cell c The number of ping pong switching HPP. plus 1.
  • the number of unsatisfied users in cell C is USN.
  • the statistical method is:
  • M The number of active users in cell c; when the user is in the active state, it indicates that the base station is serving it, so the M of the cell can be obtained from the base station.
  • A is the load of cell c.
  • the load and the predicted load of the cell c can be counted as follows:
  • the resources required for the service of terminal m in cell c are:
  • D s , m is the rate required for the service s of the terminal m, and corresponds to a different quality indicator QCI (Quality Class Indicator).
  • QCI Quality Class Indicator
  • the QCI is defined in the 3gpp standard and represents the rate requirement of different types of services; R. m is the unit rate obtainable by the terminal m of the cell c.
  • the terminal may be a user equipment (User Equipment, UE), a mobile relay, or the like.
  • the terminal may be a mobile phone, a personal computer, or the like.
  • the embodiment of the present invention is described by taking a terminal as an example, but is not used to limit the protection range of the terminal.
  • SINR ⁇ m is the signal-to-noise ratio of the terminal m of the cell c, which is the resource unit of the system
  • k 1 is the scheduling gain of the cell c where the terminal m is located
  • the s dish is the model adjustment parameter , k eh , and the parameters of the dish are set by the operator according to the scheduling and modulation type
  • siNR e , m can be calculated by the formula (4):
  • P. And P d are the transmission power of the cell C and the neighboring area d, respectively.
  • m and g d , m are the channel gains of the cell c and the neighboring cell d to the terminal m, respectively, P n is the noise power, and d is the load of the neighboring zone d.
  • the admission control threshold of the cell is set by the operator.
  • Step 202 Calculate a joint performance indicator of each cell according to the MRO of each cell and the KPI of the MLB.
  • the joint performance indicator for the cell is defined as:
  • ⁇ and ⁇ are the weight of the KPI of the MRO and the KPI of the MLB, respectively
  • Step 203 Select a cell with the worst joint performance indicator as the cell to be optimized.
  • the cell with the worst joint performance indicator is selected as the cell to be optimized, and the cell to be optimized, that is, the cell that needs to be optimized;
  • a cell whose joint performance indicator ⁇ is smaller than a system-set threshold may be selected as a cell to be optimized, and the threshold may be set by an operator; in another embodiment, The above two conditions are combined to select a cell to be optimized.
  • the joint performance index ⁇ of each cell is calculated according to the formula (6), and the cell with the smallest joint performance index, that is, the cell with the worst performance, is selected by the sorting comparison, if the joint performance index of the worst performing cell is ⁇ If the threshold is less than the system, the cell is determined to be the cell to be optimized.
  • Step 204 Select a to-be-switched terminal from the terminal located in the handover area, where the presence of the to-be-switched terminal is such that the KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold; Optimizing the overlapping area of the cell and each neighboring cell of the to-be-optimized cell;
  • step 204 includes:
  • Step 2041 Obtain a predicted load of the to-be-optimized cell.
  • the cell is the cell to be optimized, and in order to obtain the load in the next statistical period of the cell c, the service distribution rule of each pixel in the cell c needs to be obtained;
  • Sub-area the range of each cell is divided into several small areas (pixels), usually regular areas (eg, squares).
  • the predicted load in the next statistical period of the cell can be calculated based on the Holt-Winters method:
  • Xl .. represents a time series with period d, based on the sequence of the current record, prediction
  • I t is the period part
  • 0 ⁇ ⁇ 1 and 0 ⁇ ⁇ 1 is the parameter that controls the degree of smoothness
  • 111110 (1 means 11 pairs (1 finds the remainder).
  • the load in order to predict the load of the cell, the load is periodically counted in units of cells, and the statistical period is relatively longer than the scheduling period, such as 1 hour.
  • the predicted load of the cell c is calculated by the following method: Three parameters (1, and ii) are introduced to the cell, and the three parameters are defined as follows:
  • Step 2042 Calculate the number of unsatisfied users of the to-be-optimized cell under the predicted load. It should be noted that, according to the method for calculating the number of unsatisfied users of the cell according to the load, refer to formula (1) of step 201. I won't go into details here.
  • Step 2043 calculating, according to the number of unsatisfied users of the to-be-optimized cell under the predicted load, calculating the number N of terminals to be switched;
  • the number of to-be-switched terminals of the KPI to be optimized for selecting the USN as the MLB of the cell to be optimized c is:
  • N USN C - N USL HR ( 13 )
  • N usn , th r is a preset first threshold, specifically to this embodiment, N usn , th r represents the USN threshold of cell C, N usn , th r — It is set by the operator.
  • Step 2044 Obtain a signal quality value of the to-be-optimized cell and a corresponding neighbor of the to-be-optimized cell that are received by each terminal in the overlapping area of the to-be-optimized cell and the neighboring cell of the to-be-optimized cell. Signal quality value of the zone;
  • the signal quality value received by each terminal in the overlapping area of the cell to be optimized and all its neighboring cells may be specifically measured by different types of parameters, for example, in the LTE system, measured by RSRP.
  • the signal quality received by the terminal is measured by Ec/Io in the CDMA system.
  • the signal strength received by the terminal can also be measured by using indicators such as RSCP and RSRQ.
  • the technical solution of the present invention is illustrated by taking the RSRP in the LTE system as an example, but is not used to limit the protection range of the signal quality value.
  • Step 2045 Calculate a difference between a signal quality value of each neighboring cell of the to-be-optimized cell received by each terminal and a received signal quality value of the to-be-optimized cell.
  • Step 2046 selecting N terminals as the end to be switched according to the order of the difference from large to small End.
  • steps 2044-2046 is described in detail below.
  • c is a cell to be optimized
  • neighboring cell d is a neighbor of cell c.
  • the terminal here, the cell c and the adjacent cell d edge overlap region
  • terminal 1 and terminal 2 terminal m is identified, for example, terminal 1 and terminal 2 terminal m in FIG.
  • the embodiment of the present invention uses two neighboring cells as an example to describe how to select a terminal to be switched.
  • the corresponding cell to be optimized and the six adjacent cells to be optimized also have 6 edge overlapping regions, that is, 6 switching regions, so the terminal to be switched may come from multiple switching regions, that is, from the six overlapping regions.
  • the N users with the largest difference are selected as the terminals to be switched (that is, N terminals are selected as the terminals to be switched according to the order of the difference from large to small).
  • the number of RSRP sampling points of the terminal m in the period T is K
  • the RSRP value of the terminal m in the handover area of the cell c in its current serving cell c is:
  • the RSRP value of the terminal m in the handover area of the cell c in its neighboring area d is: (15) where RSRP value, A is the smoothing factor and can be set to 0.6.
  • the RSRP difference ⁇ is calculated:
  • the RSRP difference between all the terminals in the overlapping area of the cell c and the neighboring cell d is sorted in descending order, and then according to the previously determined number of terminals to be switched N And selecting the RSRP difference in the top N terminals as the to-be-switched terminal.
  • the to-be-switched terminal can switch to the cell d. Specifically, it may be determined according to the predicted load of the cell d whether it can accept new user access. If the predicted load of the cell d is less than 1, it can be considered as allowing new users to access, and the to-be-switched terminal selects the cell d as The target cell of the handover.
  • the embodiment of the present invention uses two neighboring cells as an example to describe how to select a terminal to be switched.
  • the corresponding cell to be optimized and the six adjacent cell to be optimized also have 6 edge overlapping regions, that is, 6 switching regions, so the terminal to be switched may come from multiple switching regions, it being understood that based on the present invention
  • a method for selecting a to-be-switched terminal from a to-be-optimized neighboring cell of the cell to be optimized is disclosed by the embodiment, and those skilled in the art may infer that the terminal to be switched is selected from all the to-be-optimized neighboring cells of the cell to be optimized. The method of the present invention will not be described again.
  • Step 205 The neighboring area corresponding to the overlapping area where the switching to be switched terminal is located is used as a neighboring area to be optimized. It is well understood that, as shown in FIG. 6, each terminal in the overlapping area in the figure is a selected terminal to be switched. It can be seen from the figure that the overlapping area where each terminal to be switched is located is formed by the cell to be optimized and one neighboring cell, that is, each overlapping zone corresponds to a neighboring zone to be optimized. Therefore, after the terminal to be switched is determined, the neighboring area forming the overlapping area with the cell to be optimized can be obtained according to the overlapping area where the switching terminal is located, and the neighboring area is used as the neighboring area to be optimized.
  • cell c is a cell to be optimized that needs to be selected
  • cell d, e, f, g, h, i is a neighboring cell of cell c
  • the shaded part in FIG. 3 is a cell c cell and adjacent
  • the cell edge overlap region, that is, the handover region of the cell c, the terminal located in the handover region may switch to the adjacent cell.
  • the embodiment of the present invention uses a neighboring area d of the cell c to be optimized as an example. If a terminal is currently located in the overlapping area of the cell c and the cell d, the cell d can also accept new users.
  • cell d is a neighboring cell to be optimized of cell c. Specifically, it can be determined according to the predicted load of the cell d whether it can accept new user access.
  • the cell d can be selected as a to-be-optimized neighboring cell of the cell c to be optimized. It can be understood that, in another embodiment, multiple neighboring cells (up to all neighboring cells of the cell C) that meet the foregoing conditions may be selected from all neighboring cells of the cell c to be optimized as the to-be-optimized neighbor of the cell C. Area.
  • Step 206 said to be optimized for any one of a neighboring area neighbor to be optimized, obtaining a cell switching offset (Cio, CiO 'cl, ... , CiO), the cell of the handover offset Determining a handover offset of the optimized cell relative to any one of the to-be-optimized neighboring cells, and a set of handover offsets of the any neighboring cell to be optimized relative to the to-be-optimized cell;
  • the shifting is used to configure the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring areas, so that the signal to be switched of the to-be-switched terminal corresponding to the to-be-optimized neighboring area is good.
  • the terminal receives a signal from the neighboring cell to be optimized The quality is better than the cell to be optimized
  • the received signal quality is specifically that the signal quality value received by the terminal from the to-be-optimized neighboring cell is greater than a certain threshold of the signal quality value received from the to-be-optimized cell, that is, the terminal satisfies the A3 event;
  • the A3 event indicates that the quality of the neighboring cell is better than that of the serving cell. Specifically, when the condition defined by the formula (17) is satisfied, the terminal determines to enter the A3 event state:
  • M dm > M cm + CIO' c - CIO' d + Hys c ( 17 )
  • m denotes one of the selected N to-be-switched terminals
  • M. m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized cell
  • M dm represents a signal quality value received by the to-be-switched terminal from the to-be-optimized neighboring cell
  • cio represents the to-be-optimized cell relative to handover offset to the neighboring cell to be optimized
  • CIO 'd denotes neighbor to be optimized with respect to the offset to be optimized handover cell
  • Hys denotes neighbor to be optimized with respect to the offset to be optimized handover cell
  • the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold, specifically, the part of the to-be-switched terminal does not satisfy the ping-pong handover condition, and further, the terminal The ping-pong switching condition is not satisfied, and can be expressed by formula (18):
  • CIO indicates that the to-be-optimized cell is relatively handover offset to the neighboring cell to be optimized
  • CIO 'd denotes neighbor to be optimized with respect to the offset to be optimized handover cell, Hys. Representing the hysteresis parameter or hysteresis parameter of the adjacent zone to be optimized.
  • Step 207 Configure the cell to handover offset to the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells.
  • the handover offset of the cell to be optimized is sent to the base station of the cell to be optimized, and the neighbor to be optimized is compared with the to-be-optimized cell.
  • the handover offset of the area is sent to the base station to be optimized, and the base station to be optimized and the base station to be optimized receive the handover offset, and then configure the handover offset to the terminal to be switched, so as to be switched.
  • the terminal completes the handover.
  • the cell optimization method in the embodiment of the present invention further includes:
  • Step 208 Re-acquire the KPI of the MRO and the MLB of the to-be-optimized cell, and calculate the optimized joint performance indicator of the to-be-optimized cell, if the optimized joint performance index of the to-be-optimized cell is lower than the joint performance indicator And, the handover offset of the to-be-optimized cell relative to the to-be-optimized neighboring cell is restored to an initial value.
  • the optimized joint performance indicator of the to-be-optimized cell may be calculated according to the formula (6). If the optimized joint performance indicator of the to-be-optimized cell is lower than that before the optimization, the performance of the cell is deteriorated. Then, the offset of the cell is restored to the switching offset before the adjustment.
  • the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the KPI statistics of the MRO and the MLB of the cell, and adjusts and configures the switching offset in the joint optimization process.
  • the number of ping-pong switching is also minimized, and the performance of MRO and MLB is compromised, thereby effectively reducing the performance conflict between MRO and MLB and improving the user experience.
  • the optimized performance indicators of the optimized cell are tracked and adjusted to avoid further deterioration of the cell performance caused by prediction errors and unexpected events.
  • the embodiment of the present invention provides a network controller, including: a first ear module 610, configured to acquire KPIs of MROs of respective managed cells and KPIs of MLBs;
  • the KPI of the MRO of the cell specifically includes but is not limited to: handover failure rate, ping The number of times of the pong switch HPP;
  • the KPI of the MLB of the cell specifically includes but is not limited to: the number of unsatisfied users USN, the dropped call rate.
  • the embodiment of the present invention selects the ping-pong handover number HPP and the unsatisfactory number of users USN as the KPIs of the cell MRO and the MLB respectively. It can be understood that, in another embodiment, the handover failure rate and the dissatisfied user may also be separately selected.
  • the USN is used as the KPI of the cell MRO and the MLB, and is not specifically limited in this embodiment of the present invention.
  • step 201 For the method of acquiring the HPP and the USN of the cell, refer to step 201.
  • the calculating module 620 is configured to calculate, according to the KPI of the MRO of each cell and the KPI of the MLB, a joint performance indicator of each cell;
  • the calculation module 620 calculates the joint performance indicator of each cell according to the formula (6).
  • a first selection module 630 configured to select a cell with the worst joint performance indicator as the cell to be optimized
  • a second selection module 640 configured to select a terminal to be switched from the terminal located in the handover area, where the presence of the terminal to be switched is
  • the KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold
  • the handover area includes an overlapping area of the to-be-optimized cell and each neighboring cell of the to-be-optimized cell;
  • the method for the second selection module 640 to select a neighbor to be optimized may refer to the steps.
  • a third selection module 650 configured to use, as the to-be-optimized neighboring area, the neighboring area corresponding to the overlapping area where the switching to be switched terminal is located
  • the second selection module 640 may include: a first obtaining unit 6401, configured to acquire a predicted load of the to-be-optimized cell;
  • the method for obtaining the predicted load of the cell to be optimized may refer to step 2041.
  • a first calculating unit 6402 configured to calculate an unsatisfactory number of users of the to-be-optimized cell under the predicted load
  • A is the predicted load of the to-be-optimized cell;
  • the second calculating unit 6403 calculating the to-be-switched terminal based on the number of unsatisfied users of the to-be-optimized cell under the predicted load Number N;
  • a second acquiring unit 6404 configured to obtain a signal quality value of the to-be-optimized cell received by each terminal in the overlapping area of the to-be-optimized cell and all neighboring cells of the to-be-optimized cell, and the corresponding to-be-optimized Optimizing the signal quality values of each neighborhood of the cell;
  • the signal quality values received by the terminals in the overlapping area of the to-be-optimized cell and the to-be-optimized neighboring cell may be specifically measured by different types of parameters.
  • the terminal is measured by RSRP.
  • Received signal quality, in CDMA system, Ec/Io is used to measure signal quality.
  • RSCP, RSRQ and other indicators can also be used to measure the signal strength received by the terminal, which is implemented in the present invention.
  • the technical solution of the present invention is described by taking the RSRP in the LTE system as an example, but is not used to limit the protection range of the signal quality value.
  • a third calculating unit 6405 configured to calculate a difference between a signal quality value of each neighboring cell of the corresponding to-be-optimized cell and a received signal quality value of the to-be-optimized cell that is received by each terminal;
  • the selecting unit 6406 is configured to select N terminals as the to-be-switched terminal according to the order of the difference from large to small.
  • step 2406 The specific working steps of the second obtaining unit 6404, the third calculating unit 6405 and the selecting unit 6406 can refer to step 2406.
  • the second obtaining module 660 is configured to acquire a cell-to-handover offset, where the cell-to-switching offset is a handover offset of the to-be-optimized cell with respect to each to-be-optimized neighboring cell, and each of the to-be-optimized neighbors a set of handover offsets of the zone relative to the cell to be optimized; the cell pair handover offset is used And configured to the to-be-switched terminal, so that the signal quality of the to-be-switched terminal received from the to-be-optimized neighboring cell is better than the signal quality received from the to-be-optimized cell, and the MRO of the to-be-optimized cell is obtained.
  • the cell-to-switching offset is a handover offset of the to-be-optimized cell with respect to each to-be-optimized neighboring cell, and each of the to-be-optimized neighbors a set of handover offsets of the zone relative to the cell to be optimized; the cell pair hand
  • the KPI is lower than a preset second threshold; in an embodiment, the quality of the signal received by the terminal from the to-be-optimized neighboring area is better than the quality of the signal received from the to-be-optimized cell, specifically referring to the terminal
  • the signal quality value received by the optimized neighboring cell is greater than a certain threshold of the signal quality value received from the to-be-optimized cell, that is, the terminal satisfies the A3 event; it should be noted that, according to the definition in the LTE standard, the A3 event indicates the neighboring
  • the cell quality is better than the serving cell. Specifically, when the condition defined by the formula (17) is satisfied, the terminal determines to enter the A3 event state:
  • m denotes one of the selected N terminals to be switched, M.
  • m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized cell
  • M d , m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized neighboring cell
  • CIO represents the to-be-switched terminal optimization of cell switching offset with respect to the neighboring cell to be optimized
  • CIO 'd denotes neighbor to be optimized with respect to the offset to be optimized handover cell, Hys. Representing a hysteresis parameter or a hysteresis parameter of the cell to be optimized.
  • the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold, specifically, the part of the to-be-switched terminal does not satisfy the ping-pong handover condition, and further, the terminal The ping-pong switching condition is not satisfied, and can be expressed by formula (18):
  • CIO indicates that the to-be-optimized cell is relatively In the handover offset of the to-be-optimized neighboring cell
  • CIO′ d represents a handover bias of the to-be-optimized neighboring cell with respect to the to-be-optimized cell Shift, Hys. Representing the hysteresis parameter or hysteresis parameter of the adjacent zone to be optimized.
  • the configuration module 670 is configured to configure the cell to handover offset to the to-be-switched terminal. After the second acquisition module 660 obtains the cell-to-intercept offset, the configuration module 670 sends the handover offset of the cell to be optimized to the base station to be optimized in the cell-to-cut offset, and waits for the cell to be optimized. The handover offset of the neighboring cell to the cell to be optimized is optimized and sent to the base station to be optimized. After the base station to be optimized and the base station to be optimized receive the handover offset, the handover offset is configured to be switched. The terminal, so that the terminal to be switched completes the handover.
  • the embodiment of the present invention provides the network controller. Includes:
  • the feedback module 680 is configured to re-acquire the KPI of the MRO and the MLB of the to-be-optimized cell, and calculate the optimization of the to-be-optimized cell, after the configuring the cell-to-optimized handover target to the to-be-switched terminal a post-join performance indicator, if the optimized joint performance indicator of the to-be-optimized cell is lower than the joint performance indicator, the handover offset of the to-be-optimized cell relative to the to-be-optimized neighboring region is restored to an initial value. .
  • the feedback module 680 calculates the optimized joint performance indicator of the to-be-optimized cell according to the formula (6), and if the optimized joint performance index of the to-be-optimized cell is lower than that before the optimization, the performance of the cell is demonstrated. If it is deteriorated, the offset of the cell is restored to the switching offset before the adjustment.
  • the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the statistics of the KPI of the MRO and the MLB of the cell through the foregoing technical solution, in the joint optimization process.
  • the switching offset by adjusting and configuring the switching offset, implementing the cell load Balanced also minimizes the number of ping-pong switching, achieving a compromise between MRO and MLB performance, thus effectively reducing MRO and MLB performance conflicts and improving the user experience; further, through the feedback module to jointly optimize MRO and MLB
  • the joint performance indicators of the cell are tracked and adjusted to avoid further deterioration of the cell performance caused by prediction errors and unexpected events.
  • an embodiment of the present invention provides a communication system, including: at least one base station (such as 80 and 81 in FIG. 9) and a network controller 90, where:
  • a base station configured to calculate a KPI of the MRO and the MLB of the cell
  • a network controller 90 configured to acquire a key performance indicator KPI of the mobility robust optimized MRO and the mobility load balancing MLB of each managed cell; and calculate, according to the KPI of the MRO and the MLB of each cell,
  • the joint performance index is selected as the cell with the worst joint performance indicator as the cell to be optimized
  • the terminal to be switched is selected from the terminal located in the handover area, and the presence of the terminal to be switched is such that the KPI of the MLB to be optimized is higher than the pre-
  • the first threshold is set;
  • the handover area includes an overlap area of each of the neighboring areas of the to-be-optimized cell and the to-be-optimized cell; and the neighboring area corresponding to the overlapping area where the handover to-be-switched terminal is located is regarded as Optimizing a neighboring cell; obtaining, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-swit
  • the KPI of the MRO of the cell specifically includes, but is not limited to, a handover failure rate and a ping-pong handover number HPP.
  • the KPI of the MLB of the cell specifically includes, but is not limited to, an unsatisfactory number of users USN and a dropped call rate.
  • the embodiment of the present invention selects the ping-pong handover number HPP and the unsatisfactory number of users USN as the KPIs of the cell MRO and the MLB respectively. It can be understood that, in another embodiment, the handover failure rate and the dissatisfied user may also be separately selected.
  • the USN is used as the KPI of the cell MRO and the MLB, and is not specifically limited in this embodiment of the present invention.
  • the network controller 90 is further configured to: after the configuring the cell-to-switching offset to the to-be-switched terminal, re-acquiring the KPI of the MRO and the MLB of the to-be-optimized cell, and Calculating the optimized joint performance indicator of the to-be-optimized cell, if the optimized joint performance index of the to-be-optimized cell is lower than the joint performance indicator, comparing the to-optimized cell with respect to the to-optimized neighboring cell The switching offset is restored to the initial value.
  • the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the statistics of the KPI of the MRO and the MLB of the cell through the foregoing technical solution, in the joint optimization process.
  • the cell load balancing is implemented while minimizing the number of ping-pong switching, achieving a compromise between MRO and MLB performance, thereby effectively reducing MRO and MLB performance conflicts and improving the user experience;
  • the joint performance indicators of the jointly optimized MRO and MLB cells By tracking and adjusting the joint performance indicators of the jointly optimized MRO and MLB cells, the problem of further deterioration of the cell performance caused by prediction errors and unexpected events is avoided.
  • the components may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without any creative effort.

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

Abstract

L'invention concerne un procédé d'optimisation de cellules qui consiste à : obtenir des indicateurs de performance clé (KPI) d'optimisation de robustesse de mobilité (MRO) et d'équilibrage de charge de mobilité (MLB) des cellules gérées; sélectionner la cellule dont l'indicateur de performance unifié composé de MRO et MLB est le pire à titre de cellule à optimiser, et sélectionner le terminal à transférer à partir du domaine de transfert intercellulaire de la cellule à optimiser, et déterminer les cellules adjacentes à optimiser; obtenir le décalage de transfert intercellulaire entre une paire de cellules, le décalage permettant au terminal à transférer de satisfaire un évènement A3, et permettant au KPI de MRO de la cellule à optimiser d'être inférieur à la valeur préréglée; attribuer le décalage de transfert intercellulaire entre une paire de cellules au terminal à transférer pour achever le transfert intercellulaire. D'une manière correspondante, un système de communication et un dispositif d'optimisation de cellule sont décrits. Les solutions techniques susmentionnées effectuant une optimisation unifiée pour les cellules ayant les pires performances et pour les cellules adjacentes correspondantes, sur la base des statistiques de l'indicateur de performance clé unifié des cellules, réalisent l'équilibrage de charge des cellules, et en même temps réduisent autant que possible les transferts intercellulaires en ping-pong, ce qui réduit efficacement le conflit de performance entre MRO et MLB et améliore l'expérience utilisateur.
PCT/CN2012/075777 2011-12-20 2012-05-19 Procédé, dispositif et système d'optimisation de cellules dans un système de communication mobile WO2013091344A1 (fr)

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CN105007594B (zh) * 2015-06-04 2018-06-15 重庆邮电大学 Lte-a异构网络中一种联合优化mlb与mro的方法
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CN107396387B (zh) * 2017-09-14 2020-09-18 广州汇智通信技术有限公司 一种lte系统中mlb和mro的联合优化方法和装置
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