Network Optimization Method, Device, Equipment and Readable Storage Medium

Abstract

Embodiments of the present application provide a network optimization method, apparatus, device, and readable storage medium, the method comprising: obtaining a cell expansion / reduction level of a first cell and a network performance indicator of the first cell, the cell expansion / reduction level of the first cell being at least related to a service quality parameter perceived by users in the first cell; and performing network optimization processing on the first cell based on the cell expansion / reduction level of the first cell and the network performance indicator of the first cell. In embodiments of the present application, the actual user perception is taken into account, and situations where expansion / reduction operations do not improve user perception can be addressed. Furthermore, personalized expansion / reduction standards can be generated for different cells and their primary guaranteed services.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of communication technology, and specifically to a network optimization method, apparatus, device, and readable storage medium. Background Art

[0002] Currently, in the optimization of the existing network, capacity expansion and reduction are determined based on network performance, as shown in Table 1.

[0003] Table 1: Current expansion and reduction standards

[0004]

[0005] The problems with the above expansion and reduction standards are:

[0006] 1) It does not reflect the actual user experience, but only makes capacity expansion and reduction decisions based on network performance. This may result in the capacity expansion and reduction operations not improving user experience;

[0007] 2) All cells use the same standard, making it impossible to determine capacity expansion or reduction based on the cell level;

[0008] 3) The classification standard of the community is based only on the packet size, which does not reflect the service type and cannot reflect the protection of the main services of the community. Summary of the Invention

[0009] The embodiments of the present application aim to provide a network optimization method, apparatus, device and readable storage medium to solve the problem that existing network optimization methods mainly consider network performance, resulting in a single standard for expansion and reduction.

[0010] In a first aspect, a network optimization method is provided, comprising:

[0011] Acquire a cell capacity expansion or reduction level of a first cell and a network performance indicator of the first cell, where the cell capacity expansion or reduction level of the first cell is at least related to a service quality parameter perceived by users in the first cell;

[0012] The network of the first cell is optimized according to the cell expansion and reduction level of the first cell and the network performance index of the first cell.

[0013] Optionally, obtaining the cell expansion or reduction level of the first cell includes:

[0014] Obtaining a capacity expansion / reduction determination result of the first cell and a KQI level of the first cell;

[0015] determining a cell capacity expansion or reduction level of the first cell according to a result of determining capacity expansion or reduction of the first cell and a KQI level of the first cell;

[0016] Among them, the expansion and reduction judgment results include one or more of the following: expansion, no expansion, reduction and no reduction; the larger the value of the cell expansion and reduction level, the higher the urgency of expansion, and the smaller the value of the cell expansion and reduction level, the greater the demand for reduction.

[0017] Optionally, obtaining the KQI level of the first cell includes:

[0018] Obtain KQI data of a specific service type of the first cell;

[0019] Determine a KQI level of the first cell according to KQI data of a specific service type of the first cell.

[0020] Optionally, determining the KQI level of the first cell according to the KQI data of the specific service type of the first cell includes:

[0021] Determining, based on the KQI data of a specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type;

[0022] Determining a degradation degree of the KQI data of the specific service type according to a weight of each KQI indicator of the KQI data of the specific service type and a degradation value of each KQI indicator of the KQI data of the specific service type;

[0023] Determining a KQI indicator degradation degree of the first cell according to a KQI data degradation degree of the specific service type;

[0024] Determine a KQI level of the first cell according to a degree of degradation of the KQI indicator of the first cell.

[0025] Optionally, obtaining the KQI level of the first cell includes:

[0026] Obtain KPI data of the first cell;

[0027] The KQI level of the first cell is obtained according to the KPI data of the first cell and the association between historical KPI data and KQI levels.

[0028] Optionally, obtaining the cell expansion or reduction level of the first cell further includes:

[0029] determining a service type of the first cell in different time periods;

[0030] A KQI data set related to each of the service types and a KPI data set related to network capacity are determined, wherein the KQI data set includes one or more KQI data, and the KPI data set includes one or more KPI data.

[0031] Optionally, determining, based on the KQI data of the specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type includes:

[0032] Determine the degradation value of each KQI indicator of the KQI data of the specific service type according to the following formula;

[0033]

[0034] Where i represents a specific business type; j represents the jth indicator in the KQI data of the specific business type; Indicates the degradation value of the jth KQI indicator of a specific service type i; is the value of the j-th KQI indicator of the specific service type i; is the threshold value of the j-th KQI indicator of a specific service type i;

[0035] Determining the degradation degree of the KQI data of the specific service type according to the weight of each KQI indicator of the KQI data of the specific service type and the degradation value of each KQI indicator of the KQI data of the specific service type includes:

[0036] Determine the KQI data degradation degree of the specific service type according to the following formula;

[0037]

[0038] Among them, ρ i Indicates the degree of KQI data degradation for a specific service type i; is the weight of the jth KQI indicator of the KQI data of the specific business type i;

[0039] The determining, according to the KQI data degradation degree of the specific service type, the KQI indicator degradation degree of the first cell includes:

[0040] The KQI degradation degree of the first cell is determined according to the following formula:

[0041]

[0042] Among them, β i is the weight of the KQI data of a specific service type i.

[0043] In a second aspect, a network optimization device is provided, comprising:

[0044] an acquisition module, configured to acquire a cell capacity expansion or reduction level of a first cell and a network performance indicator of the first cell, wherein the cell capacity expansion or reduction level of the first cell is at least related to a service quality parameter perceived by users in the first cell;

[0045] The optimization module is used to optimize the network of the first cell according to the cell expansion and reduction level of the first cell and the network performance index of the first cell.

[0046] Optionally, the acquisition module includes:

[0047] a first acquiring unit, configured to acquire a determination result of capacity expansion or reduction of the first cell and a KQI level of the first cell;

[0048] a first determining unit, configured to determine a cell capacity expansion or reduction level of the first cell according to a result of determining capacity expansion or reduction of the first cell and a KQI level of the first cell;

[0049] Among them, the expansion and reduction judgment results include one or more of the following: expansion, no expansion, reduction and no reduction; the larger the value of the cell expansion and reduction level, the higher the urgency of expansion, and the smaller the value of the cell expansion and reduction level, the greater the demand for reduction.

[0050] Optionally, the first acquiring unit includes:

[0051] an acquiring subunit, configured to acquire KQI data of a specific service type of the first cell;

[0052] The determination subunit is configured to determine the KQI level of the first cell according to the KQI data of the specific service type of the first cell.

[0053] Optionally, the determining subunit includes:

[0054] A first subunit is configured to determine, based on the KQI data of a specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type;

[0055] A second subunit is configured to determine a degradation degree of the KQI data of the specific service type according to a weight of each KQI indicator of the KQI data of the specific service type and a degradation value of each KQI indicator of the KQI data of the specific service type;

[0056] A third subunit is configured to determine a KQI indicator degradation degree of the first cell according to a degradation degree of the KQI data of the specific service type;

[0057] The fourth subunit is configured to determine a KQI level of the first cell according to a degree of degradation of the KQI indicator of the first cell.

[0058] Optionally, the acquisition module includes:

[0059] A second acquiring unit, configured to acquire KPI data of the first cell;

[0060] The second determining module is configured to obtain the KQI level of the first cell according to the KPI data of the first cell and the association between the historical KPI data and the KQI level.

[0061] According to a third aspect, a communication device is provided, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program implements the steps of the method according to the first aspect when executed by the processor.

[0062] In a fourth aspect, a readable storage medium is provided, on which a program is stored. When the program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0063] In the embodiment of the present application, the actual perception of users is taken into consideration, and the situation where the capacity expansion and reduction operation does not improve the user perception can be dealt with. In addition, personalized capacity expansion and reduction standards can be generated for different cells and their main guaranteed services. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present application. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0065] Figure 1 This is a schematic diagram of a network optimization method according to an embodiment of the present application;

[0066] Figure 2 This is a second schematic diagram of the network optimization method according to an embodiment of the present application;

[0067] Figure 3 Schematic diagram of the KQI and KPI association relationship learning and KQI level de-mapping process in an embodiment of the present application;

[0068] Figure 4 A schematic diagram of a network optimization device according to an embodiment of the present application;

[0069] Figure 5 A schematic diagram of a communication device according to an embodiment of the present application. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0071] The term "comprise" and any variations thereof in the specification and claims of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to the process, method, product, or apparatus. In addition, the use of "and / or" in the specification and claims to indicate at least one of the connected objects, such as A and / or B, means that A alone, B alone, and both A and B are included.

[0072] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0073] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA) and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the systems and radio technologies mentioned above as well as for other systems and radio technologies. However, the following description describes a New Radio (NR) system for example purposes, and NR terminology is used in most of the following description, although these technologies can also be applied to applications other than NR system applications, such as 6th Generation (6G) communication systems.

[0074] See also Figure 1 , an embodiment of the present application provides a network optimization method, and the specific steps include: step 101 and step 102.

[0075] Step 101: Obtain a cell expansion / reduction level of a first cell and a network performance indicator of the first cell;

[0076] In the embodiment of the present application, the cell expansion and reduction level of the first cell is at least related to a service quality parameter perceived by users in the first cell.

[0077] Step 102: Optimize the network of the first cell according to the cell expansion and reduction level of the first cell and the network performance index of the first cell.

[0078] In the embodiment of the present application, the actual perception of users is taken into consideration, and the situation where the capacity expansion and reduction operation does not improve the user perception can be dealt with. In addition, personalized capacity expansion and reduction standards can be generated for different cells and their main guaranteed services.

[0079] See also Figure 2 , an embodiment of the present application provides a network optimization method, and the specific steps include: step 201-step 204.

[0080] Step 201: Obtaining a determination result of capacity expansion or reduction of the first cell and a key quality indicator (KQI) level of the first cell;

[0081] KQI is a service quality parameter that is closely aligned with user experience and is designed for different services. It is a key indicator at the service level and can be a quality parameter for different services or applications. The KQI level is used to indicate the level of service quality parameters.

[0082] Step 202: Determine the cell expansion or reduction level of the first cell according to the result of the determination of the expansion or reduction of the first cell and the KQI level of the first cell;

[0083] Among them, the expansion and reduction judgment results include one or more of the following: expansion, no expansion, reduction and no reduction; the larger the value of the cell expansion and reduction level, the higher the urgency of expansion, and the smaller the value of the cell expansion and reduction level, the greater the demand for reduction.

[0084] Combining user experience and the experience of network optimization experts, different capacity expansion and reduction standards can be formulated for cells with different business guarantees to reflect user business needs. This can indicate whether a cell needs capacity expansion or reduction, and at the same time indicate the urgency of the expansion or reduction, thus avoiding the situation where cells with large capacity expansion needs cannot obtain license resources or sufficient license resources.

[0085] Step 203: Obtain network performance indicators of the first cell;

[0086] Step 204: Optimize the network of the first cell according to the cell expansion and reduction level of the first cell and the network performance index of the first cell.

[0087] In an embodiment of the present application, obtaining the KQI level of the first cell includes: obtaining KQI data of a specific service type of the first cell; and determining the KQI level of the first cell based on the KQI data of the specific service type of the first cell.

[0088] In this embodiment of the present application, determining the KQI level of the first cell according to the KQI data of the specific service type of the first cell includes:

[0089] Determining, based on the KQI data of a specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type;

[0090] Determine the degradation degree of the KQI data of the specific service type according to the weight of each KQI indicator of the KQI data of the specific service type and the degradation value of each KQI indicator of the KQI data of the specific service type. For example, if the specific service type is a page service, the indicators of the KQI data of the page service include page response success rate, page response delay, and page download rate, as shown in Table 2.

[0091] Determining a KQI indicator degradation degree of the first cell according to a KQI data degradation degree of the specific service type;

[0092] Determine a KQI level of the first cell according to a degree of degradation of the KQI indicator of the first cell.

[0093] In the embodiment of the present application, obtaining the KQI level of the first cell includes:

[0094] Obtaining key performance indicator (KPI) data of the first cell;

[0095] The KQI level of the first cell is obtained according to the KPI data of the first cell and the association between historical KPI data and KQI levels.

[0096] In the embodiment of the present application, obtaining the cell expansion or reduction level of the first cell further includes:

[0097] determining a service type of the first cell in different time periods;

[0098] A KQI data set related to each of the service types and a KPI data set related to network capacity are determined, wherein the KQI data set includes one or more KQI data, and the KPI data set includes one or more KPI data.

[0099] In the embodiment of the present application, the actual perception of users is taken into consideration, and the situation where the capacity expansion and reduction operation does not improve the user perception can be dealt with. In addition, personalized capacity expansion and reduction standards can be generated for different cells and their main guaranteed services.

[0100] This embodiment of the application proposes a method for formulating capacity expansion and reduction standards based on cell user service types and user experience. This method uses KQI data reflecting user experience and KPI data reflecting network performance, while also considering the main service types and the urgency of capacity expansion and reduction in different time periods of the cell. It can formulate multi-level capacity expansion and reduction standards based on cell, service, and time period.

[0101] (1) Methods for formulating standards for expansion and reduction of capacity

[0102] The main steps in formulating the expansion and reduction standards are as follows:

[0103] Step 1: Classify cells in different time periods. Determine the service guarantee type or main service type of the cell in different time periods. Service types include {call, video, game, web}, etc. Based on the user ratio of each service and service usage (such as service ratio, wireless bearer utilization, number of Evolved Radio Access Bearer (E-rab) accesses, number of Radio Resource Control (RRC) connections, etc.) in different time periods within the cell, mark the cell as one or several service cells, and mark the classification results by time period;

[0104] Step 2: Determine KPI and KQI indicators. Select KQI data sets that are highly relevant to various service experiences, as well as KPI data sets related to network capacity. For details, see "2. KQI and KPI Data Item Selection."

[0105] Step 3: Data collection. If the KQI data for the cell is available, collect the KQI and KPI data for the same cell at the same time and proceed to step 4. If the KQI data for the cell is not readily available, collect the KPI data for each time period and proceed to step 5.

[0106] Step 4: Calculate the KQI level based on the KQI data. For details on the KQI level calculation method, see "3. Calculate the Degradation of the Cell KQI Index." Go to step 6.

[0107] Step 5: Calculate the KQI level based on machine learning. Based on the historical KPI and KQI data associated with each time period of the cell, use machine learning methods to learn the KPI and KQI data association model, and output the KQI level through the KPI data and the KPI and KQI data association model. For specific methods, see 4. Go to step 6;

[0108] Step 6: Obtain the capacity expansion / reduction level based on the capacity expansion / reduction standards. Based on the capacity expansion / reduction results in Table 1 and the KIQ level, query the capacity expansion / reduction standards shown in Table 3 to obtain the capacity expansion / reduction level.

[0109] 2. KQI and KPI data item selection

[0110] 1) Select KQI indicators based on the security scenario and / or time period

[0111] According to the service type that needs to be protected in each cell (each time period), a cell KQI protection set is set, which may include one or more KQI data, as shown in Table 2. KQI-related data includes but is not limited to Table 2.

[0112] Table 2: Example of cell KQI guarantee set

[0113]

[0114] 2) KPI data selection

[0115] KPI data selection is related to network capacity indicators, generally including the number of successful E-RAB establishment, the number of RRCs with data transmission, uplink utilization PUSCH, downlink utilization PDSCH, downlink utilization PDCCH, uplink traffic (GB), and downlink traffic (GB).

[0116] 3. Calculation of the degree of degradation of the cell KQI indicator

[0117] The KQI degradation degree of a cell represents the service experience of users in the cell. The calculation process of the KQI degradation degree of a cell is as follows.

[0118] 1) Calculation of KQI indicator degradation degree

[0119] KQI data of business type i, the degradation degree of its jth KQI indicator The calculation method is as shown in formula (1). When its value is lower than the threshold,

[0120]

[0121] Where i represents the business type corresponding to the KQI data, including page (W), video (V), game (G), and volte (Vo); j represents the jth indicator in a certain type of KQI data; Indicates the degradation value of the jth KQI indicator of service type i, and the value range is [-1,1]; is the value of the j-th KQI indicator of business type i; is the threshold of the j-th KQI indicator for business type i, which can be obtained through expert experience.

[0122] 2) Calculation of KQI data degradation degree for service type i

[0123] The degradation degree of KQI data of business type i is expressed as the weighted average of the degradation degrees of its various indicators.

[0124]

[0125] in, is the weight of the jth KQI indicator of the KQI data of business type i, and the value of the weight is determined by the impact of the indicator j on the KQI data of type i, and

[0126] 3) Calculation of the degree of degradation of the cell KQI indicator

[0127] The user experience of a cell is set as the weighted average of the KQI data degradation levels of all service types in its KQI guarantee set.

[0128]

[0129] Among them, β i is the weight of the KQI data of service type i. The weight is obtained based on the user ratio of each service and service usage, such as service ratio, RB utilization, E-rab access number, RRC connection number, etc., and ∑β i =1.

[0130] 4) Classification of the degree of degradation of the cell KQI index

[0131] The value range of the cell KQI degradation degree calculated by formula (3) is [-1, 1]. Based on the experience of network optimization, it is divided into 2N+1 levels, where N is a natural number.

[0132] 4. KQI level calculation based on machine learning

[0133] Currently, KPI data is relatively easy to collect, but KQI data is not. At the same time, for capacity expansion and reduction judgment, collecting a large amount of data will consume a lot of storage resources. In order to still achieve user experience characterization when KQI data is not easy to collect, this case adopts a method of obtaining KQI level by using KPI data as input data. This method can establish the correlation between KQI and KPI data offline. When the KQI level of a cell needs to be obtained, as long as the KPI data is collected and reverse-mapped through the correlation between KQI and KPI data, the KQI level can be obtained. Figure 3 shown.

[0134] The KQI and KPI data association relationship learned by the AI algorithm can be widely used in other cells. That is, the association relationship is only related to the characteristics of the KQI and KPI data and is not related to the cell to which the data belongs. Therefore, there is no need to establish different KQI and KPI data association relationships for different cells.

[0135] 5. Setting of community expansion and reduction levels and formulation of standards

[0136] The cell expansion / reduction level takes into account both the KQI level and the expansion / reduction judgment results calculated in Table 1. The expansion / reduction level is determined based on user experience, expansion / reduction judgment results, and the experience of existing network maintenance experts, as shown in Table 3.

[0137] Table 3 Capacity expansion and reduction standards

[0138]

[0139] Table 3 shows the two-dimensional table consisting of {expand, do not expand, reduce} obtained from Table 1 and the 2N+1 levels of KQI, which represent the expansion and reduction standards. There are 2S+1 expansion and reduction indicators, which can be set based on the actual network conditions. Larger values indicate a greater urgency for expansion, while smaller values indicate a greater need for reduction.

[0140] See also Figure 4 , an embodiment of the present application provides a network optimization device, the device 400 including:

[0141] An acquisition module 401 is configured to acquire a cell expansion / reduction level of a first cell and a network performance indicator of the first cell, where the cell expansion / reduction level of the first cell is at least related to a service quality parameter perceived by users in the first cell;

[0142] The optimization module 402 is configured to perform network optimization processing on the first cell according to the cell expansion and reduction level of the first cell and the network performance index of the first cell.

[0143] In this embodiment of the present application, the acquisition module includes:

[0144] a first acquiring unit, configured to acquire a determination result of capacity expansion or reduction of the first cell and a KQI level of the first cell;

[0145] a first determining unit, configured to determine a cell capacity expansion or reduction level of the first cell according to a result of determining capacity expansion or reduction of the first cell and a KQI level of the first cell;

[0146] Among them, the expansion and reduction judgment results include one or more of the following: expansion, no expansion, reduction and no reduction; the larger the value of the cell expansion and reduction level, the higher the urgency of expansion, and the smaller the value of the cell expansion and reduction level, the greater the demand for reduction.

[0147] In this embodiment of the present application, the first acquiring unit includes:

[0148] an acquiring subunit, configured to acquire KQI data of a specific service type of the first cell;

[0149] The determination subunit is configured to determine the KQI level of the first cell according to the KQI data of the specific service type of the first cell.

[0150] In an embodiment of the present application, the determining subunit includes:

[0151] A first subunit is configured to determine, based on the KQI data of a specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type;

[0152] A second subunit is configured to determine a degradation degree of the KQI data of the specific service type according to a weight of each KQI indicator of the KQI data of the specific service type and a degradation value of each KQI indicator of the KQI data of the specific service type;

[0153] A third subunit is configured to determine a KQI indicator degradation degree of the first cell according to a degradation degree of the KQI data of the specific service type;

[0154] The fourth subunit is configured to determine a KQI level of the first cell according to a degree of degradation of the KQI indicator of the first cell.

[0155] In this embodiment of the present application, the acquisition module includes:

[0156] A second acquiring unit, configured to acquire KPI data of the first cell;

[0157] The second determining module is configured to obtain the KQI level of the first cell according to the KPI data of the first cell and the association between the historical KPI data and the KQI level.

[0158] In the embodiment of the present application, determining the degradation value of each KQI indicator of the KQI data of the specific service type according to the KQI data of the specific service type includes:

[0159] Determine the degradation value of each KQI indicator of the KQI data of the specific service type according to the following formula;

[0160]

[0161] Where i represents a specific business type; j represents the jth indicator in the KQI data of the specific business type; Indicates the degradation value of the jth KQI indicator of a specific service type i; is the value of the j-th KQI indicator of the specific service type i; is the threshold value of the j-th KQI indicator of a specific service type i;

[0162] Determining the degradation degree of the KQI data of the specific service type according to the weight of each KQI indicator of the KQI data of the specific service type and the degradation value of each KQI indicator of the KQI data of the specific service type includes:

[0163] Determine the KQI data degradation degree of the specific service type according to the following formula;

[0164]

[0165] Among them, ρ iIndicates the degree of KQI data degradation for a specific service type i; is the weight of the jth KQI indicator of the KQI data of the specific business type i;

[0166] The determining, according to the KQI data degradation degree of the specific service type, the KQI indicator degradation degree of the first cell includes:

[0167] The KQI degradation degree of the first cell is determined according to the following formula:

[0168]

[0169] Among them, β i is the weight of the KQI data of a specific service type i.

[0170] The device provided in the embodiment of the present application can achieve Figure 1 and Figure 2 The various processes implemented in the method embodiment shown achieve the same technical effect, and to avoid repetition, they will not be described again here.

[0171] The embodiment of the present application also provides a communication device. Figure 5 As shown, the communication device 500 includes an antenna 501, a radio frequency device 502, and a baseband device 503. Antenna 501 is connected to radio frequency device 502. In the uplink direction, radio frequency device 502 receives information via antenna 501 and sends the received information to baseband device 503 for processing. In the downlink direction, baseband device 503 processes the information to be transmitted and sends it to radio frequency device 502. Radio frequency device 502 processes the received information and then sends it through antenna 501.

[0172] The frequency band processing device may be located in the baseband device 503 . The method performed by the communication device in the above embodiment may be implemented in the baseband device 503 . The baseband device 503 includes a processor 504 and a memory 505 .

[0173] The baseband device 503 may include, for example, at least one baseband board on which a plurality of chips are arranged, such as Figure 5 As shown, one of the chips is, for example, a processor 504, which is connected to a memory 505 to call a program in the memory 505 and execute the network device operations shown in the above method embodiment.

[0174] The baseband device 503 may further include a network interface 506 for exchanging information with the radio frequency device 502 . The interface may be, for example, a common public radio interface (CPRI).

[0175] Specifically, the communication device of the embodiment of the present invention further includes: instructions or programs stored in the memory 505 and executable on the processor 504, and the processor 504 calls the instructions or programs in the memory 505 to execute. Figure 4 The methods executed by the modules shown achieve the same technical effects, so they will not be described here to avoid repetition.

[0176] The communication device provided in the embodiment of the present application can achieve Figure 1 and Figure 2 The various processes implemented in the method embodiment shown achieve the same technical effect, and to avoid repetition, they will not be described again here.

[0177] The communication device provided in the embodiment of the present application can achieve Figure 1 and Figure 2 The various processes implemented in the method embodiment shown achieve the same technical effect, and to avoid repetition, they will not be described again here.

[0178] The embodiment of the present application also provides a readable storage medium on which a program or instruction is stored, and when the program or instruction is executed by the processor, the above Figure 1 and Figure 2 The various processes of the method embodiment shown can achieve the same technical effect, and to avoid repetition, they will not be described here.

[0179] The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0180] The steps of the method or algorithm described in conjunction with the contents disclosed in this application can be implemented in hardware or by executing software instructions on a processor. The software instructions can be composed of corresponding software modules, and the software modules can be stored in RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disk, mobile hard disk, read-only optical disk or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be carried in an ASIC. In addition, the ASIC can be carried in a core network interface device. Of course, the processor and the storage medium can also exist in the core network interface device as discrete components.

[0181] Those skilled in the art will appreciate that, in one or more of the examples above, the functions described herein may be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions may be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transmission of a computer program from one place to another. The storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0182] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of this application. It should be understood that the above description is only the specific implementation methods of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of this application should be included in the scope of protection of this application.

[0183] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the embodiments of the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0184] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0185] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1The function specified in one or more boxes.

[0186] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0187] Obviously, those skilled in the art may make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.

Claims

1. A network optimization method, characterized in that: include: Acquire a cell capacity expansion or reduction level of a first cell and a network performance indicator of the first cell, where the cell capacity expansion or reduction level of the first cell is at least related to a service quality parameter perceived by users in the first cell; optimizing the network of the first cell according to the cell expansion and reduction level of the first cell and the network performance indicator of the first cell; The step of obtaining the cell expansion or reduction level of the first cell includes: Obtaining a result of determining capacity expansion or reduction of the first cell and obtaining a key quality indicator (KQI) level of the first cell; determining a cell capacity expansion or reduction level of the first cell according to a result of determining capacity expansion or reduction of the first cell and a KQI level of the first cell; Among them, the expansion and reduction judgment results include one or more of the following: expansion, no expansion, reduction and no reduction; the larger the value of the cell expansion and reduction level, the higher the urgency of expansion, and the smaller the value of the cell expansion and reduction level, the greater the demand for reduction.

2. The method according to claim 1, characterized in that Obtaining the KQI level of the first cell includes: Obtain KQI data of a specific service type of the first cell; Determine a KQI level of the first cell according to KQI data of a specific service type of the first cell.

3. The method according to claim 2, characterized in that The determining, based on the KQI data of the specific service type of the first cell, the KQI level of the first cell includes: Determining, based on the KQI data of a specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type; Determining a degradation degree of the KQI data of the specific service type according to a weight of each KQI indicator of the KQI data of the specific service type and a degradation value of each KQI indicator of the KQI data of the specific service type; Determining a KQI indicator degradation degree of the first cell according to a KQI data degradation degree of the specific service type; Determine a KQI level of the first cell according to a degree of degradation of the KQI indicator of the first cell.

4. The method according to claim 1, wherein Obtaining the KQI level of the first cell includes: Obtain key performance indicator (KPI) data for the first cell; The KQI level of the first cell is obtained according to the KPI data of the first cell and the association between historical KPI data and KQI levels.

5. The method according to claim 2 or 4, characterized in that Obtaining the cell expansion and reduction level of the first cell also includes: determining a service type of the first cell in different time periods; A KQI data set related to each of the service types and a KPI data set related to network capacity are determined, wherein the KQI data set includes one or more KQI data, and the KPI data set includes one or more KPI data.

6. A network optimization device, characterized in that: include: an acquisition module, configured to acquire a cell capacity expansion or reduction level of a first cell and a network performance indicator of the first cell, wherein the cell capacity expansion or reduction level of the first cell is at least related to a service quality parameter perceived by users in the first cell; an optimization module, configured to perform network optimization processing on the first cell according to the cell expansion and reduction level of the first cell and the network performance index of the first cell; The step of obtaining the cell expansion or reduction level of the first cell includes: Obtaining a result of determining capacity expansion or reduction of the first cell and obtaining a key quality indicator (KQI) level of the first cell; determining a cell capacity expansion or reduction level of the first cell according to a result of determining capacity expansion or reduction of the first cell and a KQI level of the first cell; Among them, the expansion and reduction judgment results include one or more of the following: expansion, no expansion, reduction and no reduction; the larger the value of the cell expansion and reduction level, the higher the urgency of expansion, and the smaller the value of the cell expansion and reduction level, the greater the demand for reduction.

7. The device according to claim 6, characterized in that Obtaining the KQI level of the first cell includes: Obtain KQI data of a specific service type of the first cell; Determine a KQI level of the first cell according to KQI data of a specific service type of the first cell.

8. The device according to claim 7, characterized in that The determining, based on the KQI data of the specific service type of the first cell, the KQI level of the first cell includes: Determining, based on the KQI data of a specific service type, a degradation value of each KQI indicator of the KQI data of the specific service type; Determining a degradation degree of the KQI data of the specific service type according to a weight of each KQI indicator of the KQI data of the specific service type and a degradation value of each KQI indicator of the KQI data of the specific service type; Determining a KQI indicator degradation degree of the first cell according to a KQI data degradation degree of the specific service type; Determine a KQI level of the first cell according to a degree of degradation of the KQI indicator of the first cell.

9. A communication device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program implements the steps of the method according to any one of claims 1 to 5 when executed by the processor.

10. A readable storage medium, characterized in that: The readable storage medium stores a program, and when the program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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