CN111356210A - Downlink base station selection method, device, equipment and storage medium - Google Patents
Downlink base station selection method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention provides a downlink base station selection method, a device, equipment and a storage medium. At least part of base stations through which the same uplink message is sent by the node are sequenced at least based on the signal quality data of the uplink message sent by the base stations; the sorting result is saved in association with the node. Therefore, when a downlink message needs to be sent to the node, the base station with the best performance can be selected as the downlink base station according to the sequencing result, so that the packet loss rate of the downlink data packet is reduced as much as possible.
Description
Technical Field
The present invention relates to the field of data communications, and in particular, to a method, an apparatus, a device, and a storage medium for selecting a downlink base station.
Background
In LoRaWAN, the terminal reports data, and the data can reach NS through a plurality of base stations, and the base stations are base stations for bidirectional communication between the terminal and the NS. For terminals operating in either the ClassB or ClassC mode, the NS may instruct control of these terminals in near real time or in real time. When the NS needs to issue an instruction to the terminal, it needs to select one of the base stations as a downlink base station. The channel quality between the downlink base station and the terminal directly affects the success rate of the downlink data packet.
Disclosure of Invention
An object of the present invention is to provide a downlink base station selection scheme capable of selecting a base station with the best performance for a terminal.
According to a first aspect of the present invention, a downlink base station selection method is provided, including: at least part of base stations through which the same uplink message is sent by the node are sequenced at least based on the signal quality data of the uplink message sent by the base stations; the sorting result is saved in association with the node.
Optionally, the step of ordering at least part of the base stations includes: determining current signal quality average data of the base station based on the signal quality data and historical signal quality average data determined when a previous node transmits an uplink message through the base station; and sequencing at least part of the base stations according to the size of the current signal quality average data.
Optionally, the step of determining the current signal quality average data of the base station comprises: and carrying out weighted summation on the signal quality data and the historical signal quality average data to obtain the current signal quality average data of the base station, wherein the first weight of the signal quality data is in direct proportion to the time interval of two uplink messages sent by the node through the base station which is received recently, and the second weight of the historical signal quality average data is in inverse proportion to the time interval of two uplink messages sent by the node through the base station which is received recently.
Optionally, the sum of the first weight and the second weight is 1.
Optionally, the signal quality data includes a signal strength and/or a signal-to-noise ratio of the uplink packet received by the base station.
According to a second aspect of the present invention, there is also provided a downlink base station selection method, including: and under the condition that a downlink message needs to be sent to the node, selecting a downlink base station for sending the downlink message to the node according to a sequencing result corresponding to the node, wherein the sequencing result is obtained by sequencing at least part of base stations through which the node sends the uplink message according to the signal quality data of the uplink message sent by the base station.
Optionally, the step of selecting a downlink base station for sending the downlink packet to the node includes: and selecting the first base station with the base station state being online and the load being less than a preset threshold value as a downlink base station based on the sorting result.
Optionally, the sorting result is obtained by sorting at least a part of the base stations according to the size of the current signal quality average data of the base stations, and the step of selecting the downlink base station for sending the downlink packet to the node includes: respectively endowing different weights to the current signal quality average data and the load of the base station; carrying out weighted summation on the current signal quality average data and the load of the base station to obtain the score of the base station; and selecting the base station with the maximum score from at least part of base stations as a downlink base station.
According to a third aspect of the present invention, there is provided a downlink base station selection method, including: in response to receiving an uplink message sent by a node through a base station, at least part of the base stations through which the node sends the uplink message are sequenced at least based on signal quality data of the uplink message sent by the base station; storing the sequencing result in association with the node; and under the condition that the downlink message needs to be sent to the node, selecting a downlink base station for sending the downlink message to the node according to the sequencing result corresponding to the node.
According to a fourth aspect of the present invention, there is also provided a downlink base station selection apparatus, including: the sequencing module is used for sequencing at least part of base stations through which the same uplink message is sent by the node at least based on the signal quality data of the uplink message sent by the base stations; and the storage module is used for storing the sequencing result in association with the node.
According to the fifth aspect of the present invention, there is also provided a downlink base station selection apparatus, including: and the selecting module is used for selecting a downlink base station for sending the downlink message to the node according to a sequencing result corresponding to the node under the condition that the downlink message needs to be sent to the node, wherein the sequencing result is obtained by sequencing at least part of base stations through which the node sends the uplink message according to the signal quality data of the uplink message sent by the base station.
According to the sixth aspect of the present invention, there is also provided a downlink base station selection apparatus, including: the sequencing module is used for sequencing at least part of base stations through which the same uplink message is sent by the node at least based on the signal quality data of the uplink message sent by the base stations; the storage module is used for storing the sequencing result in a manner of being associated with the node; and the selection module is used for selecting a downlink base station for sending the downlink message to the node according to the sequencing result corresponding to the node under the condition that the downlink message needs to be sent to the node.
According to a seventh aspect of the present invention, there is also provided a computing device comprising: a processor; and a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method as set forth in any one of the first to third aspects of the invention.
According to an eighth aspect of the present invention, there is also provided a non-transitory machine-readable storage medium having stored thereon executable code which, when executed by a processor of an electronic device, causes the processor to perform a method as set forth in any one of the first to third aspects of the present invention.
The invention can select the base station with the best performance as the downlink base station according to the sequencing result by sequencing the reachable base stations of the nodes according to the performance sequencing, thereby reducing the packet loss rate of the downlink data packet as much as possible.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in greater detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
Fig. 1 shows a schematic flow chart of a downlink base station selection method according to an embodiment of the present invention.
Fig. 2 shows a schematic diagram of the effect after processing by the moving average algorithm.
Fig. 3 shows a schematic flow chart of a downlink base station selection method according to another embodiment of the present invention.
Fig. 4 shows a schematic flow diagram of a downlink base station selection procedure according to an embodiment of the invention.
Fig. 5 is a schematic block diagram illustrating the structure of a downlink base station selection apparatus according to an embodiment of the present invention.
Fig. 6 is a schematic block diagram showing the structure of a downlink base station selection apparatus according to another embodiment of the present invention.
Fig. 7 is a schematic block diagram showing the structure of a downlink base station selection apparatus according to another embodiment of the present invention.
FIG. 8 illustrates a schematic structural diagram of a computing device in accordance with an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
[ term interpretation ]
LoRa: a low-power consumption long-distance wireless transmission scheme based on spread spectrum technology.
LoRaWAN: the Low Power Wide Area Network (LPWAN) standard, which is introduced by the LoRa alliance and is based on an open source MAC layer protocol. This technology can provide a low power, scalable, long-range wireless network for battery-powered wireless devices.
And NS: the Network Server is a core part-core Network in the solution of the Internet of things.
A base station: the gateway transmits the wireless network signal of the node to the NS device through the backhaul network.
The access point can reach a base station: and the node sends the base station through which the uplink message passes.
Rxpk: the uplink message is a data message uploaded to the NS by the base station.
Txpk: the downlink packet, i.e. the data packet downlink from the NS to the base station.
tmst: a base station internal counter.
And Rssi is the signal strength of the node data packet when the node data packet is received by the base station.
Snr: signal-to-noise ratio of node packets as received by the base station.
rxdelay: and after the node finishes sending the uplink data packet, starting the delay time of the rx1 window.
And EUI: the device unique identification code is a globally unique ID similar to IEEE EUI64 and corresponds to the MAC address of the device.
gwEui: a unique identification code of the base station.
[ scheme overview ]
The downlink receiving window of the node working in the ClassB mode is periodically opened, and the downlink receiving window of the node working in the ClassC mode is always opened, so that under ClassB and ClassC, the requirement on the downlink base station selection scheme is to select the base station with the best performance, and the requirement on delay is low.
The invention provides a downlink base station selection scheme suitable for a ClassB or ClassC mode, the reachable base stations aiming at the nodes can be sorted according to the performance, and when a downlink message needs to be sent to the nodes, the base station with the best performance can be selected as the downlink base station according to the sorting result, so that the packet loss rate of a downlink data packet is reduced as much as possible.
The selection scheme of the downlink base station is mainly divided into two parts, wherein the first part is real-time updating and pre-sequencing of the node reachable base stations, and the second part is selection of the downlink base stations. The first part and the second part can be executed concurrently without mutual influence, and can be processed by two system processes respectively in practice. The following describes the implementation of these two parts.
The first part is mainly to take out at least part of base stations through which the node sends the uplink message, then sort the base stations based on a preset rule, and store the sorting result. The second part is mainly to select the base station with the best performance as the downlink base station according to the sorting result pre-stored for the node when the downlink message needs to be sent to the node (for example, after the downlink message processing (such as encapsulation) is finished).
The aspects of the invention are further described below.
[ sequencing of base stations ]
Fig. 1 shows a schematic flow chart of a downlink base station selection method according to an embodiment of the present invention. Among other things, the method shown in fig. 1 may be performed by a Network Server (NS).
Referring to fig. 1, in step S110, for at least some base stations through which a node transmits the same uplink packet, at least some base stations are sorted based on signal quality data of the uplink packet transmitted by the base station.
The same uplink message sent by a node (i.e., a terminal) may be uploaded to a network server through one or more base stations. Therefore, the network server can receive a plurality of repeated uplink messages aiming at one uplink message sent by the node. In the present invention, base station information (e.g., gwEUI, Rssi, Snr) of at least some base stations (e.g., all base stations) through which the node transmits the same uplink packet may be collected, and the base stations may be ranked based on at least signal quality data of the uplink packet transmitted by the base stations.
As an example, the base station information of the base station through which the node sends the same uplink packet may be collected by acquiring the lock. For example, a lock service may be set for an uplink packet, after an uplink packet sent by a node to a base station is acquired, an attempt may be made to acquire a lock, if the acquisition of the lock is successful, it indicates that the uplink packet is received for the first time, at this time, a queue may be created and base station information of the base station may be added to the queue, if the acquisition of the lock is failed, it indicates that the node arrives in advance through packets sent by other base stations, the uplink packet received this time is not received for the first time, and at this time, base station information of the base station may be added to the corresponding queue. Therefore, after a period of time delay, all base stations through which the node sends the same uplink message can be obtained. In practice, asynchronous delay can be realized by using the delay queue, the current thread is not blocked, and the throughput rate of the system is improved.
After obtaining the base station information of at least part of the base stations (e.g., all base stations) through which the node sends the uplink packet this time, the base stations may be ranked according to a plurality of calculation rules based on at least the signal quality data of the uplink packet sent by the base station. The ranking result may indicate the quality of the link between the base station and the node. The following is merely an example of several possible ranking methods, and it should be understood that the present invention can also utilize other various statistical methods to rank the base stations.
Sequencing mode 1:
current signal quality average data for the base station may be determined based on the signal quality data and the historical signal quality average data. And then sorting at least part of the base stations according to the size of the current signal quality average data. The signal quality data mentioned herein refers to the signal quality data of the currently received uplink packet, and may include, for example, signal strength (Rssi) and/or signal-to-noise ratio (Snr). The historical signal quality average data refers to signal quality average data determined when a previous node transmits an uplink packet through the base station, and may be, for example, signal quality average data determined when the previous node transmits an uplink packet through the base station.
As an example, the signal quality data and the historical signal quality average data may be weighted and summed to obtain current signal quality average data for the base station. When the signal quality data and the historical signal quality average data are weighted and summed, a first weight corresponding to the signal quality data and a second weight corresponding to the historical signal quality average data may be set according to actual conditions.
Optionally, the first weight of the signal quality data is directly proportional to a time interval of recently receiving two uplink messages sent by the node through the base station, and the second weight of the historical signal quality average data is inversely proportional to a time interval of recently receiving two uplink messages sent by the node through the base station. Therefore, when the time interval of recently receiving two uplink messages sent by the node through the base station is larger, the first weight is larger, and the second weight is smaller, which indicates that the current signal quality average data of the base station is influenced by the current signal quality data of the base station more greatly and is influenced by the historical signal quality average data less. When the time interval of recently receiving two uplink messages sent by the node through the base station is smaller, the first weight is smaller, and the second weight is larger, which indicates that the influence of the current signal quality average data of the base station on the current signal quality data of the base station is smaller, and the influence of the historical signal quality average data is larger. Therefore, the finally obtained current signal quality average data of the base station can accurately and stably reflect the current signal level of the base station.
Alternatively, the sum of the first weight and the second weight may be 1. For example, the current signal quality average data of the base station may be calculated by the following formula: s (t) ═ a × y (t) + (1-a) × S (t-1). Where s (t) represents the current signal quality average data for the base station. And y (t) represents the signal quality data of the received uplink message currently sent by the base station. S (t-1) represents historical signal quality average data determined when the node transmits an uplink message through the base station last time. a is a sliding factor which is proportional to the time interval between the two uplink messages sent by the node through the base station and received recently. As an example, a can be confirmed by the following formula:
wherein, alpha is a scaling factor, t is the time of currently receiving the uplink message sent by the node through the base station, t _ last is the time of last receiving the rxpk of the base station, and the meaning of the formula is that when the time interval of recently receiving the uplink message sent by the node through the base station twice is smaller, a is closer to 0, which indicates that the current signal quality average data is closer to the historical value (the historical signal quality average data), and the current value (the signal quality data of the uplink message currently sent by the base station) has smaller influence on the current signal quality average data; when the time interval of two uplink messages sent by the node through the base station is recently received is larger, a is closer to 1, which indicates that the current signal quality average data is closer to the current value (the signal quality data of the uplink message currently sent by the base station), and the influence of the historical value (the historical signal quality average data) on the current signal quality average data is smaller.
Therefore, for a node with a short reporting period, it can be considered that the channel quality between the base station and the node does not change drastically in the period, so that the sliding factor is small, the influence of the historical value (historical signal quality average data) on the sliding average value (current signal quality average data) is large, and the curve change of the sliding average value is relatively gentle. For a node with a long reporting period, it can be considered that the channel quality between the base station and the node may change greatly in this period, so that the sliding average value (current signal quality average data) is greatly influenced by the current value (signal quality data of an uplink packet currently sent by the base station).
The signal quality data may include a signal strength (Rssi) and/or a signal-to-noise ratio (Snr) of the uplink message as received by the base station. Thus, the current signal quality average data may also include current signal strength and/or current signal-to-noise ratio average data, which may be denoted as Rssi 'and Snr', respectively. For the calculation process of the signal strength indicator and/or the signal-to-noise ratio indicator, see the above related description, and will not be described herein again.
It should be noted that, when performing ranking according to calculated Rssi ' and Snr ', the ranking rule may be to rank Snr ', for example, the ranking may be performed according to (-10, 0), (0, 10) …, for a base station with Snr ' in the same rank, the ranking may be performed by comparing Rssi ', and for a base station with Snr ' not in the same rank, the comparing Snr ' is performed.
As shown in fig. 2, the ordinate represents the signal reception intensity, the line 1 is an actual Rssi curve of a certain node passing through a certain base station, the jitter is large, the line 2 is a series of moving averages calculated based on the foregoing method, the change is relatively smooth, and when the ranking is performed based on the result represented by the line 2, the robustness of the ranking result can be improved.
The sequencing mode 2:
different weights may be assigned to the signal quality data of the plurality of uplink packets transmitted by the node through each base station. Optionally, the weight is proportional to the time of receiving the uplink packet sent by the base station, that is, the closer the time of receiving the uplink packet of the base station is to the current time, the larger the weight is, and otherwise, the smaller the weight is. Then, the signal quality index of the base station for the node can be obtained by means of weighted summation and averaging, and then at least part of the base stations are sorted according to the size of the signal quality index.
The signal quality data may include a signal strength (Rssi) and/or a signal-to-noise ratio (Snr) of the uplink message as received by the base station. Therefore, the signal quality indicator may also include a signal strength indicator and/or a signal-to-noise ratio indicator, which may be denoted as Rssi 'and Snr', respectively. The signal strength indicator may be determined according to the signal strength of one or more uplink messages sent by the node through the base station, and the signal-to-noise ratio indicator may be determined according to the signal-to-noise ratio of one or more uplink messages sent by the node through the base station. For the calculation process of the signal strength indicator and/or the signal-to-noise ratio indicator, see the above related description, and will not be described herein again.
In step S120, the sorting result is saved in association with the node.
The ranking result may be regarded as a ranking result for the currently reachable base station of the node. Thus, the sorted results may be saved in association with the nodes. As an example, the results of the ranking may be stored in a routing table of the node.
[ selection of Downlink base station ]
Fig. 3 shows a schematic flow chart of a downlink base station selection method according to another embodiment of the present invention. Among other things, the method shown in fig. 3 may be performed by a Network Server (NS).
As shown in fig. 3, in response to receiving the uplink packet sent by the node through the base station, steps S111 to S116 may be performed. The steps S111 to S116 are mainly real-time updating and pre-sequencing of the reachable base stations of the node, that is, at least a part of the base stations through which the node transmits the uplink packet are taken out, then sequencing is performed based on a predetermined rule, and a sequencing result is stored. Details related to steps S111 to S116 may be referred to the description above in conjunction with fig. 1, and only the flow shown in fig. 3 is exemplarily described here.
Referring to FIG. 3, at step S111, a distributed lock is requested. If the lock acquisition is successful, the process proceeds to step S112, otherwise, the process proceeds to step S113.
In step S113, the lock acquisition fails, which indicates that the node arrives earlier via the messages of other base stations, and adds the base station information (e.g., gwEUI, Rssi, Snr) of the current base station to the corresponding queue.
In step S112, the lock acquisition is successful, which indicates that the node arrives earlier through the message of the current base station, and the base station information (e.g., gwEUI, Rssi, Snr) of the current base station is added to the queue.
In step S114, a delay process is performed. And delaying for a period of time to wait for the arrival of messages through other base stations. In practice, asynchronous delay can be realized by using the delay queue, the current thread is not blocked, and the throughput rate of the system is improved.
In step S115, after the delay is finished, all base stations through which the uplink packet of the node passes are taken out and sorted according to a certain rule. For the sorting algorithm, see the description above in conjunction with fig. 1, and the description is omitted here.
In step S116, the sorting result is saved, for example, the sorting result may be stored in a routing table.
As shown by the dotted line box in fig. 3, when there is a downlink packet to be sent to the node, step S210 may be executed to select a downlink base station. The downlink base station for sending the downlink message to the node may be selected according to a sorting result pre-stored for the node. For example, the base station with the top rank may be selected as the downlink base station.
As an example, when selecting the downlink base station based on the ranking result, it may also be determined whether the base station status is online and the base station load is too large. For example, the first base station with the base station status of online and the load less than the predetermined threshold may be selected as the downlink base station based on the ranking result. In addition, different weights can be respectively given to the current signal quality average data and the load of the base station, then the current signal quality average data and the load of the base station are subjected to weighted summation to obtain the score of the base station, and the base station with the maximum score is selected from at least part of the base stations to be used as a downlink base station.
Fig. 4 shows a schematic flow diagram of a downlink base station selection procedure according to an embodiment of the invention.
Referring to fig. 4, in step S311, in response to receiving the downlink instruction, step S312 may be executed to determine whether the node operates in a ClassB mode or a ClassC mode, and if the operating mode of the node is not the ClassB mode or the ClassC mode, the node may perform processing according to a downlink base station selection procedure of ClassA, and the invention is not limited with respect to the downlink base station selection procedure of ClassA.
If the working mode of the node is the ClassB mode or the ClassC mode, step S313 may be executed to assemble the downlink packet. After the downlink packet is assembled, step S314 may be executed to obtain the pre-ordered base stations for the node, for example, the ordering result may be obtained from the routing table. Alternatively, the base station with the top ranking may be selected according to the ranking result.
In step S315, the base station status and load of the selected base station are acquired.
In step S316, it is determined whether the base station is on-line and whether the load of the base station is greater than a predetermined threshold. If the base station is on line and the load of the base station is less than the preset threshold value, the selected base station can be used as a downlink base station, and a downlink message is sent to the base station.
If the base station is not on line or the base station load is greater than the predetermined threshold, the process may return to re-execute step S314, and re-select the base station ranked in the top according to the ranking result.
The downlink base station selection scheme of the invention has at least the following beneficial effects.
1. The selection of the downlink base station and the re-elimination decoupling of the uplink message ensure that the node can reach the real-time updating of the base station.
2. When the base stations are sorted, the current signal quality average data obtained based on the dynamic factor index sliding algorithm can be used for pre-sorting, and the method has the following advantages.
Real-time performance: and ensuring that the current signal quality average data (Rssi and/or Snr) obtained by sequencing closely follows the variation trend of the actual value, and sensing and adjusting the sequencing result in real time when the channel quality is poor.
High robustness: and the stability of the sequencing result is ensured without taking single signal quality data as a standard.
High adaptability: and adapting to nodes with different reporting periods. For the nodes with a short reporting period, it can be considered that the channel quality does not change dramatically in the period, so the sliding factor is small, the influence of the historical value on the sliding average value is large, and the curve change of the sliding average value is relatively smooth. For nodes with a long reporting period, it can be considered that the channel quality may change greatly in this period, so that the sliding average is greatly affected by the current value.
Low storage space: only the latest signal quality average data need to be stored, and the historical signal quality data does not need to be stored, so that the storage space is saved.
3. The real-time online state and the real-time load of the base station are comprehensively considered. The LoRaWAN network is a typical ALOHA system, and according to ALOHA system theory: the system load is increased, which can cause the packet collision rate to be increased, thereby reducing the success rate of downlink data packets.
[ Downlink base station selection apparatus ]
Fig. 5 to 7 are schematic block diagrams illustrating the structure of a downlink base station selection apparatus according to various embodiments of the present invention. The functional modules of the downlink base station selection apparatus can be implemented by hardware, software or a combination of hardware and software for implementing the principles of the present invention. It will be appreciated by those skilled in the art that the functional blocks described in fig. 5-7 may be combined or divided into sub-blocks to implement the principles of the invention described above. Thus, the description herein may support any possible combination, or division, or further definition of the functional modules described herein.
The functional modules that the downlink base station selection apparatus may have and the operations that each functional module may perform are briefly described, and for the details related thereto, reference may be made to the above description, which is not repeated herein.
Referring to fig. 5, in the present embodiment, the downlink base station selecting apparatus 500 includes a sorting module 510 and a storing module 520.
The sorting module 510 is configured to, for at least some base stations through which the node transmits the same uplink packet, sort at least some base stations based on at least signal quality data of the uplink packet transmitted by the base station. The saving module 520 is used for saving the sorting result in association with the node.
As an example, the ranking module 510 may include a determining module and a ranking sub-module, where the determining module is configured to determine current signal quality average data of the base station based on the signal quality data and historical signal quality average data determined when previous nodes sent uplink packets through the base station. The sorting submodule is used for sorting at least part of the base stations according to the size of the average data of the current signal quality.
Alternatively, the determination module may perform a weighted summation of the signal quality data and the historical signal quality average data to obtain current signal quality average data for the base station. The first weight of the signal quality data is in direct proportion to the time interval of two uplink messages sent by the node through the base station and the second weight of the historical signal quality average data is in inverse proportion to the time interval of two uplink messages sent by the node through the base station. Optionally, the sum of the first weight and the second weight is 1.
Referring to fig. 6, in the present embodiment, the downlink base station selection apparatus 600 includes a selection module 610.
The selecting module 620 is configured to select a downlink base station for sending the downlink message to the node according to a sorting result corresponding to the node when the downlink message needs to be sent to the node, where the sorting result is obtained by sorting at least part of base stations through which the node sends the uplink message according to signal quality data of the uplink message sent by the base station. For the obtaining manner of the sorting result, refer to the above related description, and no further description is given here.
As an example of the present invention, the selecting module 610 may select, based on the sorting result, a first base station with an online base station state and a load smaller than a predetermined threshold as a downlink base station.
As another example of the present invention, the sorting result may be obtained by sorting at least some base stations according to the size of the current signal quality average data of the base stations, the selecting module 610 may assign different weights to the current signal quality average data and the load of the base stations respectively, perform weighted summation on the current signal quality average data and the load of the base stations to obtain the scores of the base stations, and select the base station with the largest score from the at least some base stations as the downlink base station.
Referring to fig. 7, in the present embodiment, the downlink base station selecting apparatus 700 includes a sorting module 710, a storing module 720, and a selecting module 730.
The sorting module 710 is configured to, for at least some base stations through which the node transmits the same uplink packet, sort at least some base stations based on at least signal quality data of the uplink packet transmitted by the base station. The saving module 720 is used for saving the sorting result in association with the node. The selecting module 730 is configured to select a downlink base station for sending a downlink packet to a node according to a sorting result corresponding to the node when the downlink packet needs to be sent to the node.
For operations that the sorting module 710 and the saving module 720 can perform, reference may be made to the description of fig. 5, which is not described herein again.
For operations that the selection module 730 can perform, reference may be made to the description of fig. 6, which is not described herein again.
[ calculating device ]
Fig. 8 is a schematic structural diagram of a computing device that can be used to implement the downlink base station selection method according to an embodiment of the present invention.
Referring to fig. 8, computing device 800 includes memory 810 and processor 820.
The processor 820 may be a multi-core processor or may include multiple processors. In some embodiments, processor 820 may include a general-purpose host processor and one or more special coprocessors such as a Graphics Processor (GPU), a Digital Signal Processor (DSP), or the like. In some embodiments, processor 820 may be implemented using custom circuitry, such as an Application Specific Integrated Circuit (ASIC) or a Field Programmable Gate Array (FPGA).
The memory 810 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions for the processor 820 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. In addition, the memory 810 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic and/or optical disks, may also be employed. In some embodiments, memory 810 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disc, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 810 has stored thereon executable code, which when processed by the processor 820, causes the processor 820 to perform the above-mentioned downlink base station selection method.
The downlink base station selection method, apparatus and computing device according to the present disclosure have been described in detail above with reference to the accompanying drawings.
Furthermore, the method according to the present disclosure may also be implemented as a computer program or computer program product comprising computer program code instructions for performing the above-mentioned steps defined in the above-mentioned method of the present disclosure.
Alternatively, the present disclosure may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) which, when executed by a processor of an electronic device (or computing device, server, etc.), causes the processor to perform the various steps of the above-described method according to the present invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (14)
1. A downlink base station selection method is characterized by comprising the following steps:
aiming at least part of base stations through which a node sends the same uplink message, sequencing the at least part of base stations at least based on the signal quality data of the uplink message sent by the base stations;
and storing the sequencing result in association with the node.
2. The method of claim 1, wherein the step of ordering at least some of the base stations comprises:
determining current signal quality average data of the base station based on the signal quality data and historical signal quality average data determined when the node transmits an uplink message through the base station;
and sequencing at least part of the base stations according to the size of the current signal quality average data.
3. The downlink base station selection method of claim 2, wherein the step of determining the current signal quality average data of the base station comprises:
performing a weighted summation of the signal quality data and the historical signal quality average data to obtain current signal quality average data for the base station,
the first weight of the signal quality data is proportional to the time interval of recently receiving two uplink messages sent by the node through the base station, and the second weight of the historical signal quality average data is inversely proportional to the time interval of recently receiving two uplink messages sent by the node through the base station.
4. The downlink base station selection method according to claim 3, wherein a sum of the first weight and the second weight is 1.
5. The downlink base station selection method of claim 1, wherein the signal quality data comprises a signal strength and/or a signal-to-noise ratio of the uplink packet received by the base station.
6. A downlink base station selection method is characterized by comprising the following steps:
and under the condition that a downlink message needs to be sent to the node, selecting a downlink base station for sending the downlink message to the node according to a sequencing result corresponding to the node, wherein the sequencing result is obtained by sequencing at least part of base stations through which the node sends the uplink message according to the signal quality data of the uplink message sent by the base station.
7. The method of claim 6, wherein the step of selecting the downlink base station for sending the downlink packet to the node comprises:
and selecting the first base station with the base station state of online and the load less than a preset threshold value as the downlink base station based on the sorting result.
8. The method according to claim 6, wherein the sorting result is obtained by sorting at least some of the base stations according to a size of current signal quality average data of the base station, and the step of selecting the downlink base station for transmitting the downlink packet to the node comprises:
respectively endowing different weights to the current signal quality average data and the load of the base station;
carrying out weighted summation on the current signal quality average data and the load of the base station to obtain the score of the base station;
and selecting the base station with the maximum score from at least part of the base stations as the downlink base station.
9. A downlink base station selection method is characterized by comprising the following steps:
in response to receiving an uplink message sent by a node through a base station, aiming at least part of base stations through which the node sends the uplink message, sequencing the at least part of base stations at least based on signal quality data of the uplink message sent by the base station;
storing the sorting result in association with the node;
and under the condition that a downlink message needs to be sent to the node, selecting a downlink base station for sending the downlink message to the node according to the sequencing result corresponding to the node.
10. A downlink base station selection apparatus, comprising:
the sequencing module is used for sequencing at least part of base stations through which the same uplink message is sent by the node at least based on the signal quality data of the uplink message sent by the base stations;
and the storage module is used for storing the sequencing result in a way of being associated with the node.
11. A downlink base station selection apparatus, comprising:
the node sending method comprises a selecting module and a sending module, wherein the selecting module is used for selecting a downlink base station used for sending a downlink message to a node according to a sorting result corresponding to the node under the condition that the downlink message needs to be sent to the node, and the sorting result is obtained by sorting at least part of base stations through which the node sends the uplink message according to signal quality data of the uplink message sent by the base station.
12. A downlink base station selection apparatus, comprising:
the sequencing module is used for sequencing at least part of base stations through which the same uplink message is sent by the node at least based on the signal quality data of the uplink message sent by the base stations;
a storage module, configured to store the sorting result in association with the node; and
and the selection module is used for selecting a downlink base station for sending the downlink message to the node according to the sequencing result corresponding to the node under the condition that the downlink message needs to be sent to the node.
13. A computing device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any of claims 1 to 9.
14. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any of claims 1-9.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811577929.5A CN111356210A (en) | 2018-12-20 | 2018-12-20 | Downlink base station selection method, device, equipment and storage medium |
| TW108131001A TW202044889A (en) | 2018-12-20 | 2019-08-29 | Downlink base station selection method and device, equipment and storage medium |
| PCT/CN2019/124823 WO2020125538A1 (en) | 2018-12-20 | 2019-12-12 | Downlink base station selection method, apparatus and device, and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811577929.5A CN111356210A (en) | 2018-12-20 | 2018-12-20 | Downlink base station selection method, device, equipment and storage medium |
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| CN111356210A true CN111356210A (en) | 2020-06-30 |
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| CN201811577929.5A Pending CN111356210A (en) | 2018-12-20 | 2018-12-20 | Downlink base station selection method, device, equipment and storage medium |
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| CN (1) | CN111356210A (en) |
| TW (1) | TW202044889A (en) |
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| WO2020125538A1 (en) | 2020-06-25 |
| TW202044889A (en) | 2020-12-01 |
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