WO2020233198A1 - 一种智能节能的方法、基站及计算机可读存储介质 - Google Patents

一种智能节能的方法、基站及计算机可读存储介质 Download PDF

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Publication number
WO2020233198A1
WO2020233198A1 PCT/CN2020/078436 CN2020078436W WO2020233198A1 WO 2020233198 A1 WO2020233198 A1 WO 2020233198A1 CN 2020078436 W CN2020078436 W CN 2020078436W WO 2020233198 A1 WO2020233198 A1 WO 2020233198A1
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Prior art keywords
energy
saving
performance data
historical performance
configuration
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PCT/CN2020/078436
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English (en)
French (fr)
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张文乾
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中兴通讯股份有限公司
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Publication of WO2020233198A1 publication Critical patent/WO2020233198A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present disclosure relates to the field of mobile communications, and in particular to a method, base station, and computer-readable storage medium for smart energy saving.
  • 5G Fifth Generation
  • 5G NR New Radio
  • 5G NR New Radio
  • the 5G NR network has the following two characteristics: the coverage of 5G NR cells is small, and more NR cells need to be deployed; the AAU (Active Antenna Unit) used in 5G NR cells uses The radio frequency equipment of the antenna array increases the energy consumption while increasing the business volume.
  • AAU Active Antenna Unit
  • the existing base station energy saving configuration is a general configuration, which can reduce labor and time costs, but the disadvantage is that the environmental business is different, and the general configuration will reduce the energy saving effect; on the other hand, the existing energy saving configurations are all fixed configurations , Poor flexibility and inability to adapt to business changes. When a business changes, it needs to be manually identified and adjusted. The lag in this process will increase energy consumption costs. In addition, the configuration of the energy saving part is complicated and error-prone, and the user experience is poor.
  • 5G NR network consumes a lot of energy, and as more sites are deployed, the energy consumption problem will become more and more obvious.
  • the energy-saving function of 5G NR will be an important indicator of the evaluation system when the operators are commercialized. This puts forward higher requirements on the energy-saving effect of 5G NR. It takes more time to enter the energy-saving time, and it needs to be based on the business. Intelligent adjustment reduces energy consumption waste caused by manual adjustment lag.
  • the intelligent energy-saving method, base station, and computer-readable storage medium provided by the embodiments of the present disclosure can configure appropriate energy-saving configurations according to actual environmental services, realize personalized and intelligent customization of energy-saving time, and use in environmental services. After the change, self-adjust parameters to adapt to business changes, reduce unnecessary energy consumption caused by manual adjustment lag, and enhance user experience.
  • a smart energy saving method applied to a base station includes: acquiring historical performance data in a data processing period; and processing the historical performance according to a preset energy saving strategy configuration Data, obtain the processed new historical performance data; according to the new historical performance data, modify the energy-saving strategy configuration according to the preset smart energy-saving strategy to obtain the modified new energy-saving strategy configuration; load the new energy-saving strategy configuration and take effect .
  • a base station including: a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the computer program is processed by the processor.
  • the steps of the smart energy-saving method provided in the embodiments of the present disclosure are implemented when the device is executed.
  • a computer-readable storage medium stores a program of a smart energy saving method, and when the program of the smart energy saving method is executed by a processor The steps of the smart energy-saving method provided in the embodiments of the present disclosure are implemented.
  • FIG. 1 is a schematic flowchart of a method for smart energy saving provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of a process for processing historical performance data provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of a process for judging whether to modify the energy-saving period according to an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of a flow chart for modifying an energy-saving period provided by an embodiment of the present disclosure
  • FIG. 5 is a schematic diagram of a process for determining whether a user data threshold needs to be modified according to an embodiment of the present disclosure
  • FIG. 6 is a schematic diagram of a process for modifying user data thresholds according to an embodiment of the present disclosure
  • FIG. 7 is a schematic diagram of a process for judging whether the neighbor cell pair configuration needs to be modified according to an embodiment of the present disclosure
  • FIG. 8 is a schematic flowchart of a modification of the neighbor cell pair configuration according to an embodiment of the present disclosure.
  • FIG. 9 is a schematic flowchart of a modified energy-saving period scenario provided by an embodiment of the present disclosure.
  • FIG. 10 is a schematic flowchart of a scenario for modifying a user data threshold provided by an embodiment of the present disclosure
  • FIG. 11 is a schematic flowchart of a modification of a neighbor cell pair configuration scenario provided by an embodiment of the present disclosure
  • FIG. 12 is a schematic diagram of a flow chart for energy saving when a CA or CoMP service scenario exists according to an embodiment of the present disclosure
  • FIG. 13 is a schematic diagram of a flow chart of energy saving when there is a uRLLC business scenario according to an embodiment of the present disclosure
  • FIG. 14 is a schematic structural diagram of a base station provided by an embodiment of the disclosure.
  • the embodiment of the present disclosure provides a smart energy-saving method applied to a base station.
  • the method includes: step S1, acquiring historical performance data in a data processing period; step S2, processing the historical performance according to a preset energy-saving strategy configuration Data, obtain the processed new historical performance data; step S3, according to the processed new historical performance data, modify the energy-saving strategy configuration according to the preset smart energy-saving strategy to obtain the modified new energy-saving strategy configuration; step S4, load
  • the modified new energy saving strategy is configured and takes effect to save energy.
  • the preset energy saving strategy configuration includes: when there are special users, the configuration includes different energy saving strategies including no energy saving, processing according to weight factors, and no processing; wherein, the special users include Hospitals, power stations, police stations and other users who are responsible for special functions; the historical performance data is processed according to the preset energy saving strategy configuration to obtain the processed new historical performance data; including: step S22, no energy saving according to the existence of special users Energy-saving strategy configuration for processing the historical performance data to obtain processed new historical performance data; including: finding out the load values of special users in the historical performance data and setting these load values to invalid values to ensure the load during the period The data does not meet the energy saving condition (S25).
  • Step S23 processing the historical performance data according to the energy-saving strategy configuration processed by the weighting factor to obtain the processed new historical performance data; including: finding out the load values of special users in the historical performance data, and performing these load values according to the weighting factors
  • Step S24 Process the historical performance data according to the energy-saving strategy configuration that is not processed to obtain processed new historical performance data; including: not processing the historical performance data.
  • the preset smart energy-saving strategy includes an energy-saving period strategy, a user number threshold strategy, and a neighbor cell pair configuration strategy; according to the processed new historical performance data, the Set smart energy-saving strategy to modify energy-saving strategy configuration to obtain the modified new energy-saving strategy configuration; including:
  • Step S31 According to the processed new historical performance data, modify the energy-saving strategy configuration according to the energy-saving time period strategy to obtain the modified new energy-saving strategy configuration; including:
  • Step S311 determine whether it is necessary to modify the energy-saving period, as shown in FIG. 3, including: setting the PRB load threshold to enter energy saving as P1, and the PRB load threshold to wake up energy saving as P2,
  • the minimum energy saving time length is T; there is a non-energy saving period t1, during which the highest load of PRB load is p1; there is an energy saving period t2, during which the minimum load of PRB load is p2;
  • step S3113 it is determined whether there is a need to modify the energy-saving period flag. If yes, go to step S3114, if not, go to step S3115.
  • step S3114 it is necessary to modify the energy saving time period, and proceed to step S3116.
  • step S3115 there is no need to modify the energy saving period. Step S3116, end.
  • Step S312 modify the energy-saving period according to the needs, modify the energy-saving period, and obtain the modified new energy-saving strategy configuration; as shown in FIG. 4, including: step S3121, modify the energy-saving period according to the needs, and determine whether it is necessary to increase the energy-saving period , If not, go to step S3123 directly.
  • Step S3122 Set the start time t10 of the energy saving period t1 as the start time of energy saving, and set the end time t11 as the end time of energy saving, mark the modified energy saving strategy configuration data, and obtain the modified new energy saving strategy configuration.
  • Step S3123 modify the energy-saving period according to the need, and determine whether the energy-saving period needs to be reduced, if not, go directly to step S3125.
  • Step S3124 Set the start time t20 of the energy saving period t2 as the end time of energy saving, and set the end time t21 as the start time of energy saving, mark the modified energy saving strategy configuration data, and obtain the modified new energy saving strategy configuration.
  • Step S3125 end.
  • Step S32 According to the processed new historical performance data, modify the energy-saving strategy configuration according to the user number threshold strategy to obtain the modified new energy-saving strategy configuration; including:
  • Step S321 Determine whether the user number threshold needs to be modified according to the processed new historical performance data, as shown in FIG. 5, including: setting the PRB load threshold for waking up energy saving as P2, and the PRB of the cell when the energy saving passive wakes up The utilization rate is q1, and the number of users is n1.
  • Step S3211 according to the processed new historical performance data, determine whether there is energy-saving passive wake-up and q1 ⁇ P2, if it is, perform step S3212, otherwise, perform step S3213.
  • step S3212 the user number threshold needs to be modified, and then go to step S3214.
  • step S3213 there is no need to modify the user number threshold. Step S3214, end.
  • Step S322 Modify the user number threshold according to the needs, modify the user number threshold, and obtain the modified new energy-saving policy configuration; as shown in Fig. 6, including: assuming that the PRB load threshold for wake-up energy saving is P2, when passively wake up, the cell The PRB utilization rate is q1, and the number of users is n1.
  • Step S33 According to the processed new historical performance data, modify the configuration strategy of the energy saving strategy according to the neighboring cell to obtain the modified new energy saving strategy configuration; including:
  • Step S331 Determine whether the neighbor cell pair configuration needs to be modified according to the processed new historical performance data, as shown in FIG. 7, including: Step S3311: According to the processed new historical performance data, all the cells of the cell The neighbor cell pairs are sorted according to the number of handovers and the handover success rate, and find the neighbor cell with the handover success rate>H and the highest number of handovers as the optimal neighbor; where H is the success of the handover from the cell to the basic coverage neighboring cell Rate threshold.
  • Step S3312 check whether the basic coverage cell of the existing configuration is consistent with the found optimal neighboring cell, and if so, directly execute step S3314.
  • Step S3313 the neighbor cell pair configuration needs to be modified, and step S3315 is performed. In step S3314, there is no need to modify the neighbor cell pair configuration. Step S3315, end.
  • Step S332 Modify the neighbor cell pair configuration according to the needs, modify the neighbor cell pair configuration, and obtain the modified new energy-saving policy configuration; as shown with reference to FIG. 8, it includes: step S3321, according to the processed new historical performance data , Sort all the neighbor cell pairs of the cell according to the number of handovers and the handover success rate, find the neighbor cell with the handover success rate>H, and the highest number of handovers, as the optimal neighbor cell; where H is the cell-to-basic coverage The handover success rate threshold of the neighboring cell.
  • Step S3322 Modify the neighbor cell pair configuration according to the needs, configure the optimal neighbor cell as the basic coverage cell of the serving cell, and obtain the modified new energy saving strategy configuration.
  • the embodiments of the present disclosure provide a smart energy-saving method applied to a base station, including: acquiring historical performance data in a data processing period; processing the historical performance data according to a preset energy-saving strategy configuration to obtain the processed new historical performance Data; according to the processed new historical performance data, the energy-saving strategy configuration modification is performed in accordance with the preset intelligent energy-saving strategy to obtain the modified new energy-saving strategy configuration; the modified new energy-saving strategy configuration is loaded and the energy saving takes effect.
  • the system can make the system's energy-saving strategy configuration according to the preset intelligent energy-saving strategy based on the acquired historical performance data to more match the business law, and identify as many energy-saving periods as possible; it can intelligently identify the business law
  • the change of the system reduces the performance or energy loss caused by the hysteresis of human maintenance; it can intelligently identify the configuration of the energy-saving neighborhood, reduce labor costs, improve the ease of use of energy-saving functions, and enhance user experience.
  • suitable energy-saving configuration can be configured according to the actual environmental business to realize personalized and intelligent customization of energy-saving time; it can also adjust parameters by itself to adapt to business changes after environmental business changes, reducing the inconvenience caused by manual adjustment lag. The necessary energy consumption is wasted to enhance the user experience.
  • Embodiment 1 Please refer to Figure 9.
  • the embodiment of the present disclosure provides a smart energy-saving method, which is applied to a base station, and includes: step S501, an optimization period of the base station monitoring configuration.
  • step S502 the base station detects whether the configured optimization period has arrived, and if it does not, it continues to monitor.
  • Step S504 calculate according to the acquired historical performance data to determine whether the energy saving period needs to be modified: one is to determine whether there is a non-energy saving period that can be set as an energy saving period, which can increase the total energy saving time; the other is to determine whether there is an inappropriate energy saving period , Excluding this part of the time period can reduce the time for energy saving during periods that are not suitable for energy saving.
  • Step S505 Perform energy saving update according to the judgment result. If you need to increase or decrease the energy-saving period, modify the energy-saving strategy configuration accordingly.
  • Step S506 Finally, the modified energy saving policy configuration takes effect.
  • Embodiment 2 Please refer to Figure 10.
  • the embodiment of the present disclosure provides a smart energy saving method, which is applied to a base station, and includes: step S601, the base station monitors and configures an optimization period. In step S602, the base station detects whether the configured optimization period has arrived, and if it does not, it continues to monitor. Step S603: When the set statistical period is reached, the energy-saving function unit of the base station requests the performance monitoring unit for historical performance data related to the number of energy-saving users.
  • Step S604 Perform calculations based on the acquired historical performance data to determine whether the number of energy-saving users wake-up threshold needs to be modified: if there is a situation where the number of users wakes up energy-saving and the PRB utilization rate does not reach the corresponding wake-up threshold, the number of energy-saving users needs to be modified Wake-up threshold.
  • Step S605 Perform energy saving update according to the judgment result. If you need to modify the threshold, modify the energy-saving policy configuration based on the calculation result.
  • Step S606 Finally, the modified energy saving policy configuration takes effect.
  • Embodiment 3 Please refer to Figure 11.
  • the embodiment of the present disclosure provides a smart energy-saving method, which is applied to a base station, and includes: step S701, an optimization period of the base station monitoring configuration.
  • step S702 the base station detects whether the configured optimization period has arrived, and if it does not, it continues to monitor.
  • the acquired historical performance data is calculated to determine whether the configuration of the energy-saving neighboring cell pair needs to be modified: if the historical performance data can be used to find the optimal neighboring cell that can be used as the basic coverage cell.
  • Step S705 Perform energy saving update according to the judgment result. If you need to modify the energy-saving neighboring cell pair configuration, modify the optimal neighboring cell as the basic coverage cell of the serving cell, and modify the energy-saving strategy configuration. Step S706: Finally, the modified energy saving policy configuration takes effect.
  • Embodiment 4 Please refer to Figure 12.
  • the embodiments of the present disclosure provide a smart energy-saving method applied to a base station, including: step S801, when the base station turns on the energy-saving function, and there are CA (Carrier Aggregation, Carrier Aggregation)/CoMP (Coordinated Multiple Points Transmission) /Reception, coordinated multipoint transmission) business, the base station monitors the configuration optimization cycle. In step S802, the base station detects whether the configured optimization period has arrived, and if it does not, it continues to monitor. Step S803: When the set statistical period is reached, the energy-saving function unit of the base station requests the performance monitoring unit for historical performance data related to the energy-saving time period.
  • CA Carrier Aggregation, Carrier Aggregation
  • CoMP Coordinatd Multiple Points Transmission
  • Step S803 When the set statistical period is reached, the energy-saving function unit of the base station requests the performance monitoring unit for historical performance data related to the energy-saving time period.
  • step S804 the acquired historical performance data, for the historical performance data of CA/CoMP users, is processed according to the energy-saving configuration and then judged as the energy-saving period.
  • the task CA/CoMP service is considered to be very important, it is configured to have special users No energy saving, the historical performance data processing when CA/CoMP business exists is invalid, and energy saving will not be entered in this time period to avoid the impact of energy saving on the business; when CA/CoMP is considered important but it is not necessary to completely stop energy saving, it can be CA /CoMP business configuration weight, expand the impact on energy saving judgment, when CA/CoMP business volume is very small, it can also enter energy saving.
  • Step S805 Determine whether the energy saving period needs to be modified and take effect according to the processed historical performance data.
  • Embodiment 5 Please refer to Figure 13.
  • the embodiments of the present disclosure provide a smart energy-saving method applied to a base station, including: step S901, when the base station turns on the energy-saving function, and users of the cell of the base station have uRLLC (Ultra Reliable & Low Latency Communication, ultra-high reliability and ultra-low latency communication) )
  • the base station monitors the configuration optimization period.
  • the base station detects whether the configured optimization period has arrived, and if it does not, it continues to monitor.
  • Step S903 When the set statistical period arrives, the energy-saving function unit of the base station requests the performance monitoring unit for historical performance data related to the energy-saving time period.
  • Step S904 the acquired historical performance data, for the historical performance data with uRLLC users, is processed according to the energy-saving configuration and judged as the energy-saving period.
  • the task uRLLC service is considered to be very important, it is configured to not save energy when there are special users.
  • the uRLLC service exists the historical data processing is invalid. This time period will not enter energy saving to avoid the impact of energy saving on the service; when uRLLC is considered important but it is not necessary to completely stop energy saving, you can configure the weight for the uRLLC service to expand the energy saving judgment
  • the impact of time, when the uRLLC business volume is very small, energy saving can also be entered.
  • Step S905 Determine whether the energy saving period needs to be modified and take effect according to the processed historical performance data.
  • an embodiment of the present disclosure also provides a base station.
  • the base station 1000 includes a memory 1002, a processor 1001, and a memory 1002 that is stored in the memory 1002 and can run on the processor 1001. Or a plurality of computer programs, the memory 1002 and the processor 1001 are coupled together through a bus system 1003, and the one or more computer programs are executed by the processor 1001 to implement the one provided by the embodiments of the present disclosure
  • step S1 obtain historical performance data during the data processing period
  • step S2 process the historical performance data according to the preset energy-saving strategy configuration to obtain processed new historical performance data
  • step S3 According to the processed new historical performance data, the energy saving strategy configuration is modified according to the preset intelligent energy saving strategy to obtain the modified new energy saving strategy configuration
  • step S4 the modified new energy saving strategy configuration is loaded and the energy saving is effective.
  • the methods disclosed in the foregoing embodiments of the present disclosure may be applied to the processor 1001 or implemented by the processor 1001.
  • the processor 1001 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 1001 or instructions in the form of software.
  • the processor 1001 may be a general-purpose processor, a DSP, or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the like.
  • the processor 1001 may implement or execute various methods, steps, and logical block diagrams disclosed in the embodiments of the present disclosure.
  • the general-purpose processor may be a microprocessor or any conventional processor.
  • the steps of the method disclosed in the embodiments of the present disclosure may be directly embodied as being executed and completed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a storage medium, and the storage medium is located in the memory 1002.
  • the processor 1001 reads information in the memory 1002 and completes the steps of the foregoing method in combination with its hardware.
  • the memory 1002 of the embodiment of the present disclosure may be a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memory.
  • the non-volatile memory can be read-only memory (ROM, Read-Only Memory), programmable read-only memory (PROM, Programmable Read-Only Memory), and erasable programmable read-only memory (EPROM, Erasable Read-Only).
  • RAM Random Access Memory
  • SRAM Static Random Access Memory
  • SSRAM static random access memory
  • DRAM Dynamic Random Access Memory
  • SDRAM Synchronous Dynamic Random Access Memory
  • DDRSDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • ESDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • the embodiment of the present disclosure also provides a computer storage medium, specifically a computer-readable storage medium, for example, includes a memory 1002 storing a computer program, and the computer storage medium stores a smart energy saving method
  • a computer storage medium specifically a computer-readable storage medium, for example, includes a memory 1002 storing a computer program, and the computer storage medium stores a smart energy saving method
  • One or more programs of the smart energy-saving method are executed by the processor 1001 to implement the following steps of the smart energy-saving method provided by the embodiment of the present disclosure: step S1, in the data processing cycle In step S2, process the historical performance data according to the preset energy saving strategy configuration to obtain the processed new historical performance data; step S3, according to the processed new historical performance data, according to the preset
  • the smart energy-saving strategy modifies the energy-saving strategy configuration to obtain the modified new energy-saving strategy configuration; step S4, loads the modified new energy-saving strategy configuration and takes effect to save energy.
  • the intelligent energy-saving method program embodiment on the computer-readable storage medium and the method embodiment belong to the same concept.
  • the specific implementation process please refer to the method embodiment, and the technical features in the method embodiment are available on the computer. All the embodiments of reading the storage medium are correspondingly applicable, and will not be repeated here.
  • the technical solution of the present disclosure essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to make a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present disclosure.
  • a terminal which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

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Abstract

本公开公开一种智能节能的方法、基站及计算机可读存储介质，包括：在数据处理周期内，获取历史性能数据；根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；根据处理后的所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；加载所述修改后的新节能策略配置并生效节能。

Description

一种智能节能的方法、基站及计算机可读存储介质
本公开要求享有2019年05月22日提交的名称为“一种智能节能的方法、基站及计算机可读存储介质”的中国专利申请CN201910443396.X的优先权，其全部内容通过引用并入本文中。
技术领域
本公开涉及移动通信领域，特别涉及一种智能节能的方法、基站及计算机可读存储介质。
背景技术
当前，5G(Fifth Generation)技术正日益发展。5G强大的能力和丰富的连接场景势必会激发各行各业的应用需求。
5G NR(New Radio)因其巨大的社会收益和商业前景，各个国家和地区均在发展5G NR并持续增加大量的技术投入，使得5G NR技术飞速发展。目前部分地区已经开始部署NR基站用做测试，5G NR的预商用也提上日程。
基于技术原因，5G NR网络有以下两个特点：5G NR小区的覆盖范围较小，需要部署更多的NR小区；5G NR小区使用的AAU(Active Antenna Unit，一体化有源天线单元)是采用天线阵列的射频设备，在提高业务量的同时，能耗也增大了很多。
目前，现有基站节能生效的配置是通用配置，可以降低人力和时间成本，但缺点是环境的业务有差异，通用配置会降低节能的效果；另一方面，现有的节能配置都是固定配置，灵活性差，不能适应业务的变化，当业务发生变化时，需要人工识别后调整，这个过程的滞后性会增加能耗成本；此外，开启节能的部分配置复杂、且容易出错，用户体验性差。
由于，5G NR网络能耗很大，且随着部署的站点越来多，能耗问题会越来越明显。而5G NR的节能功能在运营商进行商用时，将是评估系统的一项重要指标，这对5G NR的节能效果提出了更高的要求，需要更多的时间进入节能时间，同时需要根据业务智能调整，减少人工调整滞后带来的能耗浪费。
发明内容
有鉴于此，本公开实施例提供的一种智能节能的方法、基站及计算机可读存储介质，可以根据实际环境业务配置合适的节能配置，实现节能时间的个性化智能定制，以及以在环境业务变化后自行调整参数适应业务变化，减少因人工调整滞后带来的不必要的能耗浪费，增强用户体验。
本公开解决上述技术问题所采用的技术方案如下：
根据本公开实施例的一个方面，提供的一种智能节能的方法，应用于基站，所述方法包括：在数据处理周期内，获取历史性能数据；根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；根据所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；加载所述新节能策略配置并生效节能。
根据本公开实施例的另一个方面，提供的一种基站，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现本公开实施例提供的所述的一种智能节能的方法的步骤。
根据本公开实施例的另一个方面，提供的一种计算机可读存储介质，所述计算机可读存储介质上存储有智能节能的方法的程序，所述智能节能的方法的程序被处理器执行时实现本公开实施例提供的所述的一种智能节能的方法的步骤。
附图说明
图1是本公开实施例提供的一种智能节能的方法的流程示意图；
图2是本公开实施例提供的一种处理历史性能数据的流程示意图；
图3是本公开实施例提供的一种判断是否需要修改节能时段的流程示意图；
图4是本公开实施例提供的一种修改节能时段的流程示意图；
图5是本公开实施例提供的一种判断是否需要修改用户数据门限的流程示意图；
图6是本公开实施例提供的一种修改用户数据门限的流程示意图；
图7是本公开实施例提供的一种判断是否需要修改邻区对配置的流程示意图；
图8是本公开实施例提供的一种修改邻区对配置的流程示意图；
图9是本公开实施例提供的一种修改节能时段场景的流程示意图；
图10是本公开实施例提供的一种修改用户数据门限场景的流程示意图；
图11是本公开实施例提供的一种修改邻区对配置场景的流程示意图；
图12是本公开实施例提供的一种存在CA或CoMP业务场景时节能的流程示意图；
图13是本公开实施例提供的一种存在uRLLC业务场景时节能的流程示意图；
图14为本公开实施例提供的一种基站的结构示意图。
本公开目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
为了使本公开所要解决的技术问题、技术方案及有益效果更加清楚、明白，以下结合附图和实施例，对本公开进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅以解释本公开，并不用于限定本公开。
在后续的描述中，使用用于表示元件的诸如“模块”、“部件”或“单元”的后缀仅为了有利于本公开的说明，其本身没有特定的意义。因此，“模块”、“部件”或“单元”可以混合地使用。
需要说明的是，本公开的说明书和权利要求收及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。
请参考图1。本公开实施例提供一种智能节能的方法，应用于基站，所述方法包括：步骤S1，在数据处理周期内，获取历史性能数据；步骤S2，根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；步骤S3，根据处理后的所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；步骤S4，加载所述修改后的新节能策略配置并生效节能。
请参考图2。在一个实施例中，所述步骤S2中，所述预设节能策略配置，包括：存在特殊用户时配置包括不节能、根据权重因子处理、不处理的不同节能策略；其中，所述特殊用户包括医院、发电站、警察局等担负特殊功能的用户；所述根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：步骤S22，根据存在特殊用户不节能的节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：找出历史性能数据中特殊用户的负荷值，将这些负荷值置为无效值，以确保该时段的 负荷数据不满足节能条件(S25)。步骤S23，根据权重因子处理的节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：找出历史性能数据中特殊用户的负荷值，将这些负荷值按照权重因子进行处理得到处理后的新历史性能数据(S26)：n1＝n0*f，m1＝(m0-n0)+n1＝m0+(f-1)n0。另外，需确保处理后的新历史性能数据在合法的范围内，例如，如果m1的合法范围为[0,X]，则m1＝min[m0+(f-1)n0,X]；其中，m0为历史性能数据的总负荷值，n0为历史性能数据中特殊用户的负荷值，权重因子为f(f取值大于1)，m1为处理后的新历史性能数据的总负荷值，n1为处理后的新历史性能数据中特殊用户的负荷值。步骤S24，根据不处理的节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：不用处理所述历史性能数据。
在一个实施例中，所述步骤S3中，所述预设智能节能策略包括节能时段策略、用户数门限策略、邻区对配置策略；所述根据处理后的所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
步骤S31，根据处理后的所述新历史性能数据，按照节能时段策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
步骤S311，根据处理后的所述新历史性能数据，判断是否需要修改节能时段，如参考图3所示，包括：设定进入节能的PRB负荷门限为P1，唤醒节能的PRB负荷门限为P2，最小的节能时间长为T；存在非节能时段t1，期间的PRB负荷的最高负荷为p1；存在节能时段t2，期间的PRB负荷的最低负荷为p2；步骤S3111，根据处理后的所述新历史性能数据，分别判断，是否存在“p1<P1且t1>＝T”或“p2>＝P2且t2>＝T”，如果结果为是，进入步骤S3112；如果结果为否，直接进入步骤S3113。步骤S3112，记录判断结果，并标识需要修改节能时段的标志；其中，所述判断结果为存在“p1<P1且t1>＝T”时，需要增加节能时段；存在“p2>＝P2且t2>＝T”时，需要减少节能时段。步骤S3113，判断是否有需要修改节能时段的标志。如果有进入步骤S3114，如果没有进入步骤S3115。步骤S3114，需要修改节能时段，转入步骤S3116。步骤S3115，不需要修改节能时段。步骤S3116，结束。
步骤S312，根据所述需要修改节能时段，修改节能时段，获得修改后的新节能策略配置；如参考图4所示，包括：步骤S3121，根据所述需要修改节能时段，判断是否需要增加节能时段，如果否，直接转步骤S3123。步骤S3122，将节能时段t1的起始时刻t10设置为节能开始时刻，将结束时刻t11设置为节能的结束时刻，并标记修改了节能策略配置数据，获得修改后的新节能策略配置。步骤S3123，根据所述需要修改节能时段，判断 是否需要减少节能时段，如果否，直接转步骤S3125。步骤S3124，将节能时段t2的起始时刻t20设置为节能结束时刻，将结束时刻t21设置为节能的起始时刻，并标记修改了节能策略配置数据，获得修改后的新节能策略配置。步骤S3125，结束。
步骤S32，根据处理后的所述新历史性能数据，按照用户数门限策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
步骤S321，根据处理后的所述新历史性能数据，判断是否需要修改用户数门限，如参考图5所示，包括：设定唤醒节能的PRB负荷门限为P2，节能被动唤醒时，小区的PRB利用率为q1，用户数为n1。步骤S3211，根据处理后的所述新历史性能数据，判断是否有节能被动唤醒且q1<P2，如果是执行步骤S3212，否则执行步骤S3213。步骤S3212，需要修改用户数门限，转步骤S3214。步骤S3213，不需要修改用户数门限。步骤S3214，结束。
步骤S322，根据所述需要修改用户数门限，修改用户数门限，获得修改后的新节能策略配置；如参考图6所示，包括：假设唤醒节能的PRB负荷门限为P2，被动唤醒时，小区的PRB利用率为q1，用户数为n1。步骤S3221，计算唤醒时用户数的平均负荷q0＝q1/n1。步骤S3222，计算并修改用户数门限为n＝P2/q0，并标记修改了节能策略配置数据，获得修改后的新节能策略配置。
步骤S33，根据处理后的所述新历史性能数据，按照邻区对配置策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
步骤S331，根据处理后的所述新历史性能数据，判断是否需要修改邻区对配置，如参考图7所示，包括：步骤S3311，根据处理后的所述新历史性能数据，将小区的所有邻区对按照切换次数和切换成功率排序，找出切换成功率>H，且切换次数排序最靠前的邻区，作为最优邻区；其中，H为小区到基础覆盖邻区的切换成功率门限。步骤S3312，查看现有配置的基础覆盖小区，是否与找出的最优邻区一致，如果是，直接执行步骤S3314。步骤S3313，需要修改邻区对配置，转步骤S3315。步骤S3314，不需要修改邻区对配置。步骤S3315，结束。
步骤S332，根据所述需要修改邻区对配置，修改邻区对配置，获得修改后的新节能策略配置；如参考图8所示，包括：步骤S3321，根据处理后的所述新历史性能数据，将小区的所有邻区对按照切换次数和切换成功率排序，找出切换成功率>H，且切换次数排序最靠前的邻区，作为最优邻区；其中，H为小区到基础覆盖邻区的切换成功率门限。步骤S3322，根据所述需要修改邻区对配置，将所述最优邻区配置为服务小区的基础覆盖小 区，获得修改后的新节能策略配置。
本公开实施例提供一种智能节能的方法，应用于基站，包括：在数据处理周期内，获取历史性能数据；根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；根据处理后的所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；加载所述修改后的新节能策略配置并生效节能。通过本公开实施例，使系统根据获取的历史性能数据，按照预设智能节能策略，可以使系统的节能策略配置更匹配业务规律，尽可能多的识别出可节能的时段；可以智能识别业务规律的变化，降低人力维护滞后性带来的性能或能量损失；可以智能识别节能邻区间的配置，减少人力成本，提高节能功能的易用性，增强用户体验。与相关技术相比，既可以根据实际环境业务配置合适的节能配置，实现节能时间的个性化智能定制；也可以在环境业务变化后自行调整参数适应业务变化，减少因人工调整滞后带来的不必要的能耗浪费，增强用户体验。
以下结合实施例对本公开的技术方案作进一步的详细描述。
实施例1：请参考图9。
本公开实施例提供一种智能节能的方法，应用于基站，包括：步骤S501，基站监控配置的优化周期。步骤S502，基站检测配置的优化周期是否到达，如果不到达则持续监控。步骤S503，当设置的统计周期到达，基站的节能功能单元向性能监控单元请求节能时间段相关的历史性能数据。步骤S504，根据获取的历史性能数据进行计算判断是否需要修改节能时段：一个是判断是否有非节能时段可以设置为节能时段，这个可以增加总的节能时间；一个是判断是否有不合适的节能时段，将这部分时段排除可以减少在不适合节能的时段进行节能的时间。步骤S505，根据判断结果进行节能更新。如果需要增加或减少节能时段，则对节能策略配置做相应的修改。步骤S506，最终按照修改后的节能策略配置生效。
实施例2：请参考图10。
本公开实施例提供一种智能节能的方法，应用于基站，包括：步骤S601，基站监控配置的优化周期。步骤S602，基站检测配置的优化周期是否到达，如果不到达则持续监控。步骤S603，当设置的统计周期到达，基站的节能功能单元向性能监控单元请求节能用户数相关的历史性能数据。步骤S604，根据获取的历史性能数据进行计算判断是否需 要修改节能用户数唤醒门限：如果存在用户数唤醒节能的情况且此时的PRB利用率并未达到对应的唤醒门限，则需要修改节能用户数唤醒门限。步骤S605，根据判断结果进行节能更新。如果需要修改该门限，则根据计算结果修改节能策略配置。步骤S606，最终按照修改后的节能策略配置生效。
实施例3：请参考图11。
本公开实施例提供一种智能节能的方法，应用于基站，包括：步骤S701，基站监控配置的优化周期。步骤S702，基站检测配置的优化周期是否到达，如果不到达则持续监控。步骤S703，当设置的统计周期到达，基站的节能功能单元向性能监控单元请求节能邻区对配置相关的历史性能数据。步骤S704，获取的历史性能数据进行计算判断是否需要修改节能邻区对配置：如果根据历史性能数据可以找出可以作为基础覆盖小区的最优邻区。如果现有的基础覆盖小区非最优邻区，则需要修改节能邻区对配置。步骤S705，根据判断结果进行节能更新。如果需要修改节能邻区对配置，则修改最优邻区为服务小区的基础覆盖小区，修改节能策略配置。步骤S706，最终按照修改后的节能策略配置生效。
实施例4：请参考图12。
本公开实施例提供一种智能节能的方法，应用于基站，包括：步骤S801，当基站开启了节能功能，并且基站的小区的用户存在CA(Carrier Aggregation，载波聚合)/CoMP(Coordinated Multiple Points Transmission/Reception，协同多点传输)业务时，基站监控配置的优化周期。步骤S802，基站检测配置的优化周期是否到达，如果不到达则持续监控。步骤S803，当设置的统计周期到达，基站的节能功能单元向性能监控单元请求节能时间段相关的历史性能数据。步骤S804，获取的历史性能数据，对于存在CA/CoMP用户的历史性能数据，根据节能配置做处理后在作为节能时段的判断，当认为任务CA/CoMP业务非常重要，则配置为存在特殊用户时不节能，对存在CA/CoMP业务时的历史性能数据处理为无效，该时间段不会进入节能，避免节能对该业务的影响；当认为CA/CoMP重要但不必完全停止节能时，可为CA/CoMP的业务配置权重，扩大对节能判断时的影响，当CA/CoMP业务量很小时也可进入节能。步骤S805，根据处理后的历史性能数据判断是否需要修改节能时段并生效。
实施例5：请参考图13。
本公开实施例提供一种智能节能的方法，应用于基站，包括：步骤S901，当基站开启了节能功能，并且基站的小区的用户存在uRLLC(Ultra Reliable&Low Latency Communication，超高可靠超低时延通信)业务时，基站监控配置的优化周期。步骤S902，基站检测配置的优化周期是否到达，如果不到达则持续监控。步骤S903，当设置的统计周期到达，基站的节能功能单元向性能监控单元请求节能时间段相关的历史性能数据。步骤S904，获取的历史性能数据，对于存在uRLLC用户的历史性能数据，根据节能配置做处理后在作为节能时段的判断，当认为任务uRLLC业务非常重要，则配置为存在特殊用户时不节能，对存在uRLLC业务时的历史数据处理为无效，该时间段不会进入节能，避免节能对该业务的影响；当认为uRLLC重要但不必完全停止节能时，可为uRLLC的业务配置权重，扩大对节能判断时的影响，当uRLLC业务量很小时也可进入节能。步骤S905，根据处理后的历史性能数据判断是否需要修改节能时段并生效。
此外，本公开实施例还提供一种基站，如图14所示，所述基站1000包括：存储器1002、处理器1001及存储在所述存储器1002中并可在所述处理器1001上运行的一个或者多个计算机程序，所述存储器1002和所述处理器1001通过总线系统1003耦合在一起，所述一个或者多个计算机程序被所述处理器1001执行时以实现本公开实施例提供的一种智能节能的方法的以下步骤：步骤S1，在数据处理周期内，获取历史性能数据；步骤S2，根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；步骤S3，根据处理后的所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；步骤S4，加载所述修改后的新节能策略配置并生效节能。
上述本公开实施例揭示的方法可以应用于所述处理器1001中，或者由所述处理器1001实现。所述处理器1001可能是一种集成电路芯片，具有信号处理能力。在实现过程中，上述方法的各步骤可以通过所述处理器1001中的硬件的集成逻辑电路或软件形式的指令完成。所述处理器1001可以是通用处理器、DSP、或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。所述处理器1001可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者任何常规的处理器等。结合本公开实施例所公开的方法的步骤，可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于存储介质中，该存储介质位于存储器1002，所述处理器1001读取存储器1002中的信息，结合其硬件完成前述方法的步骤。
可以理解，本公开实施例的存储器1002可以是易失性存储器或者非易失性存储器，也可以包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(ROM，Read-Only Memory)、可编程只读存储器(PROM，Programmable Read-Only Memory)、可擦除可编程只读存储器(EPROM，Erasable Read-Only Memory)、电可擦除只读存储器(EEPROM，Electrically Erasable Programmable Read-Only Memory)、磁性随机存取存储器(FRAM，Ferromagnetic Random Access Memory)、闪存(FlashMemory)或其他存储器技术、光盘只读存储器(CD-ROM，Compact Disk Read-Only Memory)、数字多功能盘(DVD，Digital Video Disk)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置；易失性存储器可以是随机存取存储器(RAM，Random Access Memory)，通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(SRAM，Static Random Access Memory)、静态随机存取存储器(SSRAM，Synchronous Static Random Access Memory)、动态随机存取存储器(DRAM，Dynamic Random Access Memory)、同步动态随机存取存储器(SDRAM，Synchronous Dynamic Random Access Memory)、双倍数据速率同步动态随机存取存储器(DDRSDRAM，Double Data Rate Synchronous Dynamic Random Access Memory)、增强型同步动态随机存取存储器(ESDRAM，Enhanced Synchronous Dynamic Random Access Memory)、同步连接动态随机存取存储器(SLDRAM，SyncLink Dynamic Random Access Memory)、直接内存总线随机存取存储器(DRRAM，Direct Rambus Random Access Memory)。本公开实施例描述的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
需要说明的是，上述基站实施例与方法实施例属于同一构思，其具体实现过程详见方法实施例，且方法实施例中的技术特征在所述基站实施例中均对应适用，这里不再赘述。
另外，在示例性实施例中，本公开实施例还提供一种计算机存储介质，具体为计算机可读存储介质，例如包括存储计算机程序的存储器1002，所述计算机存储介质上存储有智能节能的方法的一个或者多个程序，所述智能节能的方法的一个或者多个程序被处理器1001执行时以实现本公开实施例提供的一种智能节能的方法的以下步骤：步骤S1，在数据处理周期内，获取历史性能数据；步骤S2，根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；步骤S3，根据处理后的所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；步骤S4，加载所述修改后的新节能策略配置并生效节能。
需要说明的是，上述计算机可读存储介质上的智能节能的方法程序实施例与方法实施例属于同一构思，其具体实现过程详见方法实施例，且方法实施例中的技术特征在上述计算机可读存储介质的实施例中均对应适用，这里不再赘述。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。
上述本公开实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本公开的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本公开各个实施例所述的方法。
上面结合附图对本公开的实施例进行了描述，但是本公开并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本公开的启示下，在不脱离本公开宗旨和权利要求所保护的范围情况下，还可做出很多形式，这些均属于本公开的保护之内。

Claims (14)

  1. 一种智能节能的方法，应用于基站，其中，所述方法包括：
    在数据处理周期内，获取历史性能数据；
    根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；
    根据所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；
    加载所述新节能策略配置并生效节能。
  2. 根据权利要求1所述的方法，其中，所述预设节能策略配置，包括：存在特殊用户时配置为不节能；
    所述根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：
    根据不节能的节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：找出历史性能数据中特殊用户的负荷值，将所述负荷值置为无效值，以确保该时段的负荷数据不满足节能条件。
  3. 根据权利要求1所述的方法，其中，所述预设节能策略配置，包括：存在特殊用户时配置为根据权重因子处理；
    所述根据预设节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：
    根据权重因子处理的节能策略配置，处理所述历史性能数据，获得处理后的新历史性能数据；包括：找出历史性能数据中特殊用户的负荷值，将所述负荷值按照权重因子进行处理得到处理后的新历史性能数据。
  4. 根据权利要求1所述的方法，其中，所述预设智能节能策略包括节能时段策略；
    所述根据所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
    根据所述新历史性能数据，按照节能时段策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
    根据所述新历史性能数据，判断是否需要修改节能时段；
    根据所述需要修改节能时段，修改节能时段，获得修改后的新节能策略配置。
  5. 根据权利要求4所述的方法，其中，所述根据所述新历史性能数据，判断是否需要修改节能时段；包括：
    根据所述新历史性能数据，分别判断，是否存在“p1<P1且t1>＝T”或“p2>＝P2且t2>＝T”，其中，P1为进入节能的PRB负荷门限，P2为唤醒节能的PRB负荷门限，T为最小的节能时间长，p1为非节能时段t1期间的PRB负荷的最高负荷，p2为节能时段t2期间的PRB负荷的最低负荷；
    如果结果为是，记录判断结果，并标识需要修改节能时段的标志；其中，所述判断结果为存在“p1<P1且t1>＝T”时，需要增加节能时段；存在“p2>＝P2且t2>＝T”时，需要减少节能时段。
  6. 根据权利要求5所述的方法，其中，所述根据所述需要修改节能时段，修改节能时段，获得修改后的新节能策略配置；包括：
    根据所述需要修改节能时段，判断结果为需要增加节能时段时，将节能时段t1的起始时刻t10设置为节能开始时刻，将结束时刻t11设置为节能的结束时刻，并标记修改了节能策略配置数据，获得修改后的新节能策略配置；
    根据所述需要修改节能时段，判断结果是需要减少节能时段，将节能时段t2的起始时刻t20设置为节能结束时刻，将结束时刻t21设置为节能的起始时刻，并标记修改了节能策略配置数据，获得修改后的新节能策略配置。
  7. 根据权利要求1所述的方法，其中，所述预设智能节能策略包括用户数门限策略；
    所述根据所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
    根据所述新历史性能数据，按照用户数门限策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
    根据所述新历史性能数据，判断是否需要修改用户数门限；
    根据所述需要修改用户数门限，修改用户数门限，获得修改后的新节能策略配置。
  8. 根据权利要求7所述的方法，其中，所述根据处理后的所述新历史性能数据，判断是否需要修改用户数门限；包括：
    根据所述新历史性能数据，判断是否有节能被动唤醒且q1<P2，如果是，需要修改用户数门限，其中，P2为唤醒节能的PRB负荷门限，节能被动唤醒时，q1为小区的PRB利用率。
  9. 根据权利要求8所述的方法，其中，所述根据所述需要修改用户数门限，修改用户数门限，获得修改后的新节能策略配置；包括：
    计算唤醒时用户数的平均负荷q0＝q1/n1，其中，q1为小区的PRB利用率；
    计算并修改用户数门限为n＝P2/q0，并标记修改了节能策略配置数据，获得修改后的新节能策略配置。
  10. 根据权利要求1所述的方法，其中，所述预设智能节能策略包括邻区对配置策略；
    所述根据所述新历史性能数据，按照预设智能节能策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
    根据所述新历史性能数据，按照邻区对配置策略进行节能策略配置修改，获得修改后的新节能策略配置；包括：
    根据所述新历史性能数据，判断是否需要修改邻区对配置；
    根据所述需要修改邻区对配置，修改邻区对配置，获得修改后的新节能策略配置。
  11. 根据权利要求10所述的方法，其中，所述根据处理后的所述新历史性能数据，判断是否需要修改邻区对配置，包括：
    根据所述新历史性能数据，将小区的所有邻区对按照切换次数和切换成功率排序，找出切换成功率>H，且切换次数排序最靠前的邻区，作为最优邻区；其中，H为小区到基础覆盖邻区的切换成功率门限；
    查看现有配置的基础覆盖小区，是否与找出的最优邻区一致，如果不一致，需要修改邻区对配置。
  12. 根据权利要求11所述的方法，其中，根据所述需要修改邻区对配置，修改邻区对配置，获得修改后的新节能策略配置；包括：
    根据所述需要修改邻区对配置，将所述最优邻区配置为服务小区的基础覆盖小区，获得修改后的新节能策略配置。
  13. 一种基站，其中，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如权利要求1至12中任一项所述的一种智能节能的方法的步骤。
  14. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有智能节能的方法的程序，所述智能节能的方法的程序被处理器执行时实现如权利要求1至12中任 一项所述的一种智能节能的方法的步骤。
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