CN112153664B - Parameter optimization method, device, base station, server and storage medium - Google Patents
Parameter optimization method, device, base station, server and storage medium Download PDFInfo
- Publication number
- CN112153664B CN112153664B CN201910563855.8A CN201910563855A CN112153664B CN 112153664 B CN112153664 B CN 112153664B CN 201910563855 A CN201910563855 A CN 201910563855A CN 112153664 B CN112153664 B CN 112153664B
- Authority
- CN
- China
- Prior art keywords
- target wireless
- base station
- index data
- optimizing
- system operation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 99
- 238000005457 optimization Methods 0.000 title claims abstract description 80
- 230000008569 process Effects 0.000 claims abstract description 52
- 230000006854 communication Effects 0.000 claims abstract description 48
- 238000004891 communication Methods 0.000 claims abstract description 46
- 230000005540 biological transmission Effects 0.000 claims description 26
- 230000008859 change Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 13
- 238000005516 engineering process Methods 0.000 claims description 6
- 230000007774 longterm Effects 0.000 claims description 3
- 238000010295 mobile communication Methods 0.000 claims description 3
- 238000004904 shortening Methods 0.000 abstract 1
- 239000000284 extract Substances 0.000 description 12
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000002715 modification method Methods 0.000 description 3
- 101100465000 Mus musculus Prag1 gene Proteins 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000004092 self-diagnosis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1825—Adaptation of specific ARQ protocol parameters according to transmission conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1829—Arrangements specially adapted for the receiver end
- H04L1/1848—Time-out mechanisms
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1867—Arrangements specially adapted for the transmitter end
- H04L1/188—Time-out mechanisms
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The embodiment of the invention provides a parameter optimization method, a device, a base station, a server and a storage medium, wherein the system operation log of the base station is collected to optimize target wireless parameters of the base station according to the system operation log, and in certain implementation processes, the system operation log is information of a real-time service scene, so that the current network state can be timely perceived based on the system operation log, and the wireless parameters are optimized, thereby shortening the time delay of wireless parameter optimization and improving the communication quality.
Description
Technical Field
Embodiments of the present invention relate to, but are not limited to, the field of wireless communications, and in particular, but not limited to, parameter optimization methods, apparatuses, base stations, servers, and storage media.
Background
Along with the continuous development of communication technology, the information transmission rate is faster and faster, the data throughput rate is greater and greater, and convenience is provided for users.
In order to cope with different network environments, it is necessary to optimize wireless parameters in wireless communication in time according to the current network state to ensure the communication quality. However, in the related art, in the process of optimizing the wireless parameters according to KPI (Key Performance Indicator ) data, a larger time delay generally exists, and the wireless parameters cannot be optimized according to the network state in time, so that a series of problems such as network congestion, increased bit error rate, reduced data throughput rate and the like are caused, and the communication quality is reduced.
Disclosure of Invention
The parameter optimization method, the device, the base station, the server and the storage medium mainly solve the technical problem that communication quality is reduced due to larger time delay in the wireless parameter optimization process.
In order to solve the above technical problems, an embodiment of the present invention provides a parameter optimization method, including:
collecting a system operation log of a base station;
Optimizing target wireless parameters of the base station according to the system operation log
The embodiment of the invention also provides a parameter optimization device, which comprises: the collecting module and the optimizing module are used for collecting the data,
The collecting module is used for collecting the system operation log of the base station;
and the optimizing module is used for optimizing the target wireless parameters of the base station according to the system operation log.
The embodiment of the invention also provides a base station, which comprises: a first processor, a first memory, and a first communication bus;
The first communication bus is used for realizing connection communication between the first processor and the first memory;
the first processor is configured to execute one or more computer programs stored in the first memory to implement the steps of the parameter optimization method as described above.
The embodiment of the invention also provides a server, which comprises: a second processor, a second memory, and a second communication bus;
the second communication bus is used for realizing connection communication between the second processor and the second memory;
the second processor is configured to execute one or more computer programs stored in the second memory to implement the steps of the parameter optimization method as described above.
Embodiments of the present invention also provide a storage medium storing one or more computer programs executable by one or more processors to implement the steps of the above-described parameter optimization method.
The beneficial effects of the invention are as follows:
According to the parameter optimization method, the device, the base station, the server and the storage medium provided by the embodiment of the invention, the target wireless parameters of the base station are optimized according to the system operation log by collecting the system operation log of the base station, and in certain implementation processes, the current network state can be timely perceived and the wireless parameters are optimized based on the system operation log because the system operation log is information of a real-time service scene, so that the time delay of wireless parameter optimization is shortened, and the communication quality is improved.
Additional features and corresponding advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a parameter optimization method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of parameter optimization based on index data according to a first embodiment of the present invention;
FIG. 3 is a flowchart of a parameter optimization method according to a second embodiment of the present invention;
FIG. 4 is a flowchart of optimizing the duration of a reordering timer according to a second embodiment of the invention;
FIG. 5 is a flowchart of a parameter optimization method according to a third embodiment of the present invention;
Fig. 6 is a flowchart for optimizing the duration of a poll retransmission timer according to a third embodiment of the present invention;
fig. 7 is a schematic structural diagram of a parameter optimization device according to a fourth embodiment of the present invention.
Fig. 8 is a schematic diagram of a base station structure according to a fifth embodiment of the present invention.
Fig. 9 is a schematic diagram of a server structure according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following detailed description of the embodiments of the present invention is given with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Embodiment one:
In the related art, when the wireless parameters are optimized according to the current network state, the wireless parameters are generally optimized based on the cell KPI data by collecting the cell KPI data. However, KPI data acquisition has a large delay and requires intervention of operation and maintenance personnel, so that the optimization of wireless parameters has a large time delay, the wireless parameters cannot be quickly adjusted, and problems such as increased bit error rate, reduced data throughput, increased power consumption, network congestion and the like are easy to occur under the conditions of service scene change or wireless environment change and the like, and the communication quality is reduced. In order to solve the problem, an embodiment of the present invention provides a parameter optimization method, referring to fig. 1, the parameter optimization method includes:
S101, collecting system operation logs of the base station.
In the embodiment of the invention, the system operation log is an operation log generated in the operation process of the base station, wherein the system operation log comprises business flow information and the like.
S102, optimizing target wireless parameters of the base station according to the system operation log.
In the embodiment of the invention, the target wireless parameters of the base station are optimized according to the collected system operation log, wherein the target wireless parameters can be any wireless parameters of the base station, for example, can be related control parameters transmitted from the base station to the terminal. For example, the target wireless parameter may be at least one of a wireless communication parameter such as a number of air interface repetitions, a reordering timer duration, a polling retransmission timer duration, and the like. It should be understood that, for the number of air-interface repetitions, which is the number of data repetition transmissions, the more the number of air-interface repetitions, the more coverage. For the reordering timer duration, in 2HARQ (Hybrid Automatic Repeat reQuest ), the inconsistency of the air interface environments of the two paths may cause that the message reaching RLC (Radio Link Control, radio link layer control protocol) layer is out of order or that there is a message loss, thus introducing a reordering timer for waiting for out of order message arrival, triggering unnecessary retransmission in order to reduce status report. For the time length of the polling retransmission timer, after the sending end sends the polling request, a retransmission timer is set, and if the time length of the polling retransmission timer is exceeded and the status report of the receiving end is not received, the polling request needs to be retransmitted; if the sender receives a corresponding status report from the receiver during the timer not expired, either Ack (Acknowledgement) or Nack (Negative Acknowledgement ) indicates that the receiver has received the poll request, at which point the retransmission timer is closed.
In the embodiment of the invention, some wireless networks support terminals with different coverage levels, and corresponding communication requirements are different for the terminals with different coverage levels. Therefore, when the target wireless parameters of the base station are optimized according to the system operation log, the business process information of each coverage level can be extracted from the system operation log, and the target wireless parameters corresponding to each coverage level of the base station are optimized based on the business process information of each coverage level. For example, for NB-IoT (Narrow Band Internet of Things ), it supports three coverage level terminals, coverage level 0, coverage level 1, coverage level 2, it optimizes the number of air interface repetitions for coverage level 0 according to the coverage level 0 traffic flow information, it optimizes the number of air interface repetitions for coverage level 1 according to the coverage level 1 traffic flow information, and it optimizes the number of air interface repetitions for coverage level 2 according to the coverage level 2 traffic flow information.
In the embodiment of the present invention, when optimizing the target wireless parameters of the base station according to the system operation log, as shown in fig. 2, the method may include the following steps:
S201, extracting index data related to target wireless parameters from business process information in a system operation log.
In the embodiment of the invention, the system operation log comprises business flow information, and the business flow information comprises index data related to target transmission. The index data related to the target transmission may be data affected by the target wireless parameter. For example, the index data related to the number of air-interface repetition times includes an error rate, etc., wherein the error rate is affected by the number of air-interface repetition times; the index data related to the reordering timer duration comprises at least one of parameters such as the arrival duration of the disordered message, the repeated receiving times of the message and the like; the index data related to the polling retransmission timer period includes at least one of the time used for polling transmission and status report reply, the number of repeated reception of status report, and the like.
S201, optimizing target wireless parameters of the base station based on index data related to the target wireless parameters.
In the embodiment of the invention, the limiting value of each index data can be preset, and then when the target wireless parameters of the base station are optimized based on the index data related to the target wireless parameters, the wireless target parameters of the base station are optimized based on the index data related to the target wireless parameters in the system operation log and the limiting value corresponding to the index data. And when the target wireless parameter value is determined to be lower based on the index data related to the target wireless parameter in the system operation log and the limiting value corresponding to the index data, the value of the target wireless parameter is increased. For example, assuming that the target wireless parameter is the air interface repetition frequency, the index data related to the air interface repetition frequency is the bit error rate, and a maximum limit value of the bit error rate is preset, if the bit error rate in the system operation log is lower than the maximum limit value of the bit error rate, the current bit error rate is lower, and the communication requirement is met, so that the air interface repetition frequency is higher, and the air interface repetition frequency is reduced; if the error rate in the system operation log is higher than the maximum limit value of the error rate, the current error rate is higher and cannot meet the communication requirement, so that the repetition times of the air interface are lower, and the repetition times of the air interface are increased to reduce the error rate. The specific value of the limiting value can be flexibly set according to actual needs.
In the embodiment of the invention, the range of each index data can be preset, and then when the target wireless parameters of the base station are optimized based on the index data related to the target wireless parameters, the wireless target parameters of the base station can be optimized based on the index data related to the target wireless parameters and the range corresponding to the index data in the system operation log. When index data related to target transmission in the system operation log is in a preset range of the index data, maintaining target wireless parameters; and when the index data related to the target transmission in the system operation log is out of the preset range of the index data, optimizing the target wireless parameters, wherein the specific process of optimization can be determined according to the index data and the target wireless parameters. For example, assuming that the target wireless parameter is a polling retransmission timer duration, the index data related to the target wireless parameter is a status report repetition number, and the preset status report repetition number ranges from [ a, B ], where B > a, and assuming that the status report repetition number in the system operation log is in [ a, B ], the polling retransmission timer duration is maintained; if the repeated receiving times of the status report in the system operation log are smaller than A, the duration of the polling retransmission timer is characterized to be longer, so that the duration of the polling retransmission timer is reduced; and if the repeated receiving times of the status report in the system operation log are larger than B, the duration of the polling retransmission timer is short, so that the duration of the polling retransmission timer is increased.
In the embodiment of the invention, when the target wireless parameter of the base station is optimized based on the index data related to the target wireless parameter, the target wireless parameter of the base station can be optimized based on the change trend of the index data related to the target wireless parameter. The change trend of the index data can be determined based on the index data related to the target wireless parameter in the system operation log acquired at the time and the index data related to the target wireless parameter acquired before, and the target wireless parameter of the base station is optimized according to the change trend of the index data. For example, assuming that the target wireless parameter is the time length of the reorder timer, the index data related to the target wireless parameter is the maximum time length reached by the disordered message, if the maximum time length reached by the disordered message in the system operation log acquired at this time is greater than the maximum time length obtained by the disordered message acquired before, the maximum time length reached by the disordered message is indicated to be an increasing trend, so that the reorder timer time length is increased; if the maximum time length reached by the disordered messages in the system operation log obtained at the time is smaller than the maximum time length obtained by the disordered messages obtained before, the maximum time length reached by the disordered messages is indicated to be in a reducing trend, so that the time length of a reordering timer is reduced.
In this embodiment, after optimizing the target wireless parameters of the base station according to the system operation log, the system operation log of the base station may be collected again after a preset period of time, and the target wireless parameters of the base station may be optimized according to the collected system operation log, and the cycle is performed. That is, the target wireless parameters are optimized every preset time period, so that the resource waste caused by frequent optimization can be avoided while the timely optimization of the wireless parameters is ensured. The preset time period can be flexibly set according to actual needs.
In the embodiment of the invention, after the target wireless parameters of the base station are optimized according to the system operation log, if the optimized wireless parameters are required to be set at the terminal side, the optimized wireless parameters can be sent to the terminal so that the terminal can communicate according to the optimized wireless parameters. For example, the polling retransmission timer duration also needs to be set at the terminal side, so that after the polling retransmission timer duration of the base station is optimized, the optimized polling retransmission timer duration can be sent to the terminal, so that the terminal can communicate based on the optimized polling retransmission timer duration.
It should be noted that, the parameter optimization method provided by the embodiment of the present invention may be applied to at least one of the following wireless networks: internet of things, long term evolution, LTE, GSM, code division multiple access, CDMA, fifth generation mobile communication technology, and so on. Among them, the internet of things includes, but is not limited to, NB-IoT.
In the embodiment of the invention, all the steps of the parameter optimization method can be executed by the base station, namely, the base station collects the system operation log of the base station, optimizes the target wireless parameters of the base station according to the system operation log, and the like, so that the operation log can be quickly collected, self-diagnosis can be carried out on the system operation condition, and quick parameter adjustment can be carried out.
In the embodiment of the present invention, all the steps of the parameter optimization method may be executed by a server, that is, the server collects a system operation log of the base station, and optimizes a target wireless parameter of the base station according to the system operation log. Thus, the load of the base station can be reduced, and centralized management can be realized. When the server optimizes the target wireless parameters of the base station according to the system operation log, the server optimizes the values of the target wireless parameters based on the system operation log and sends the optimized values of the target wireless parameters to the base station so that the base station communicates based on the optimized values of the target wireless parameters. The server may be an OMC (Operation MAINTENANCE CENTER ) server.
According to the parameter optimization method provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in certain implementation processes, the current network state can be timely perceived based on the system operation log and the wireless parameters are optimized because the system operation log is information of a real-time service scene, so that the time delay of wireless parameter optimization is shortened, and the communication quality is improved.
Embodiment two:
In order to better understand the parameter optimization method in the first embodiment, this embodiment is described with reference to a more specific example.
Referring to fig. 3, the parameter optimization method includes:
S301, the base station acquires a system operation log of the base station.
In this embodiment, in the communication process of the base station, the service unit may generate a system operation log, where the system operation log is information of a real-time service scenario, and the base station obtains the system operation log generated by the base station.
S302, the base station extracts business flow information of each coverage level from the system operation log.
In a wireless communication system, different coverage levels are supported, and the requirements of the base station on communication performance are different for the different coverage levels, so in this embodiment, the base station extracts service flow information of each coverage level from a system operation log, so that the target wireless parameters of the coverage level can be optimized based on the service flow information of the different coverage levels.
S303, the base station extracts index data related to the target wireless parameters from the business process information of each coverage level.
After extracting the business process information of each coverage level, index data related to the target wireless parameter is extracted from the business process information of each coverage level. For the target wireless parameters, the target wireless parameters can be flexibly set according to actual needs.
S304, the base station optimizes the target wireless parameters of each coverage level based on the index data related to the target wireless parameters of each coverage level.
After extracting the index data of each coverage level related to the target wireless parameters, optimizing the target wireless parameters of the corresponding coverage levels based on the index data of each coverage level. For example, assume that the wireless communication system supports three coverage levels, coverage level 0, coverage level 1, and coverage level 2, respectively, the coverage level 0, coverage level 1, and coverage level 2 business process information is extracted from the system operation log, and the coverage level 0, coverage level 1, and coverage level 2 business process information are respectively extracted to extract the target wireless parameter related index data, optimize the target wireless parameter of coverage level 0 based on the target wireless parameter related index data corresponding to coverage level 0, optimize the target wireless parameter of coverage level 1 based on the target wireless parameter related index data corresponding to coverage level 1, and optimize the target wireless parameter of coverage level 2 based on the target wireless parameter related index data corresponding to coverage level 2.
When optimizing the target wireless parameter based on the index data related to the target wireless parameter, the target wireless parameter may be optimized based on the index data related to the target wireless parameter and a preset limit value of the index data; and/or optimizing the target wireless parameter based on a trend of change in the index data related to the target wireless parameter. When determining the trend of the index data related to the target wireless parameter, the parameter optimization method of the present embodiment is cyclic, so that the trend of the index data can be determined based on the index data acquired in the parameter optimization process and the index data acquired in the previous parameter optimization process.
In this embodiment, if the optimized target wireless parameters are also required to be set at the terminal side, the base station may send the optimized target wireless parameters to the terminal, so that the terminal optimizes the target wireless parameters.
And S305, the base station operates for a preset time period based on the optimized target wireless parameters.
After running for a preset period of time based on the optimized target wireless parameters, the base station goes to S301 to perform the optimization of the target wireless parameters of the next round. The preset time period can be flexibly set according to actual needs. The preset time period can be adjusted according to the change condition of the network state. For example, if the current network state is relatively stable, in order to save resources, the preset time period may be adjusted to be longer; if the current network state changes frequently, the preset time period can be shortened, and the wireless communication parameters can be optimized in time, so that the wireless communication parameters are suitable for various network environments.
For better understanding of the parameter optimization method in the present embodiment, an example will be described here.
For NB-IoT, the NB-IoT R14 protocol introduces a 2HARQ function, and the inconsistency of the air interface environment of the two paths may cause messages arriving at the RLC layer to be out of order or lost. The protocol introduces a reordering timer for waiting for out-of-order messages to arrive to reduce unnecessary retransmissions triggered by the status report. The too long time of the timer can lead to the fact that the lost message can not be retransmitted in time, the data response speed is reduced, the too short time can lead to the fact that the message waiting for reordering is mistakenly lost, the receiving end sends a state report to the sending end, retransmission of the message is required, and therefore repeated sending of the message and reduction of the air interface data throughput rate can be caused. Therefore, in order to match the reordering timer duration with the current network state, the reordering timer duration is set as the target wireless parameter, and the index data related to the target wireless parameter is the number of repeated message receiving times and the maximum time of arrival of the out-of-order message. Referring to fig. 4, the optimization flow of the reordering timer duration is as follows:
S401, collecting a system operation log by the base station.
S402, the base station extracts business flow information of each coverage level from the system operation log.
Because the NB-IoT system supports 3 different coverage levels, coverage level 0 and coverage level 1 and coverage level 2, respectively, the service flow information corresponding to coverage level 0, the service flow information corresponding to coverage level 1 and the service flow information corresponding to coverage level 2 are extracted from the system operation log.
S403, the base station respectively extracts the repeated receiving times of the messages of each coverage level and the maximum time of arrival of the disordered messages from the business flow information of each coverage level.
Extracting the repeated receiving times of the message and the maximum time of arrival of the disordered message from the business process information corresponding to the coverage level 0; extracting the repeated receiving times of the message and the maximum time of arrival of the disordered message from the business process information corresponding to the coverage level 1; and extracting the repeated receiving times of the message and the maximum time of arrival of the disordered message from the business process information corresponding to the coverage level 2.
S404, the base station compares the extracted message repeated receiving times corresponding to each coverage level with a preset message repeated receiving times limiting value corresponding to the coverage level, and modifies the reordering timer duration of each coverage level by combining the variation trend of the maximum duration of the out-of-order message.
The base station sets the limit value of the repeated message receiving times of each coverage grade in advance.
When the time length of the reordering timer of the coverage level 0 is modified, the base station compares the repeated message receiving times of the coverage level 0 extracted from the system operation log with a preset message repeated receiving times limiting value corresponding to the coverage level 0, and determines the change trend of the time length of the maximum time length of the disordered message of the coverage level 0 based on the time length of the maximum time length of the disordered message of the coverage level 0 acquired in the time length optimization process of the last reordering timer. If the repeated message receiving times of the coverage level 0 are lower than a preset message repeated receiving times limiting value corresponding to the coverage level 0, or the maximum time length of arrival of the disordered messages of the coverage level 0 is reduced, the time length of a reordering timer of the coverage level 0 is reduced; if the repeated message receiving times of the coverage level 0 are higher than the preset limit value of the repeated message receiving times corresponding to the coverage level 0, or the maximum time length reached by the disordered message of the coverage level 0 is increased, the time length of a reordering timer of the coverage level 0 is increased
For the modification of the reordering timer duration of the coverage level 1 and the modification of the reordering timer duration of the coverage level 2, please refer to the reordering timer duration modification method of the coverage level 0, which is not described herein.
S405, the base station operates a preset time period based on the reorder timer duration of each coverage level after modification.
After the preset period of operation, the process goes to S401.
According to the parameter optimization method provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in certain implementation processes, the current network state can be timely perceived and the wireless parameters are optimized based on the system operation log because the system operation log is information of a real-time service scene, so that the time delay of wireless parameter optimization is shortened, and the communication quality is improved.
Embodiment III:
In order to better understand the parameter optimization method in the first embodiment, this embodiment is described with reference to a more specific example.
Referring to fig. 5, the parameter optimization method includes:
S501, the OMC collects the system operation log of the base station.
In this embodiment, in the communication process of the base station, the service unit may generate a system running log, where the system running log is information of a real-time service scenario. After generating the system operation log, the base station sends the system operation log to the OMC.
S502, the OMC extracts business flow information of each coverage level from the system operation log.
In a wireless communication system, different coverage levels are supported, and the requirements of the coverage levels on communication performance are different, so in this embodiment, the OMC extracts service flow information of each coverage level from the system operation log of the base station, so that the target wireless parameters of the coverage level can be optimized based on the service flow information of the different coverage levels.
S503, the OMC extracts index data related to the target wireless parameters from the business process information of each coverage level.
After extracting the business process information of each coverage level, the OMC extracts index data related to the target wireless parameters from the business process information of each coverage level. For the target wireless parameters, the target wireless parameters can be flexibly set according to actual needs.
S504, OMC optimizes the target radio parameters of each coverage class based on the index data related to the target radio parameters of each coverage class.
After extracting the index data of each coverage level and related to the target wireless parameters, the OMC optimizes the target wireless parameters of the corresponding coverage levels based on the index data of each coverage level, and sends the optimized target wireless parameters of each coverage level to the base station so that the base station communicates based on the optimized target wireless parameters.
When optimizing the target wireless parameter based on the index data related to the target wireless parameter, the target wireless parameter may be optimized based on the index data related to the target wireless parameter and a preset limit value of the index data; and/or optimizing the target wireless parameter based on a trend of change in the index data related to the target wireless parameter. When determining the trend of the index data related to the target wireless parameter, the parameter optimization method of the present embodiment is cyclic, so that the trend of the index data can be determined based on the index data acquired in the parameter optimization process and the index data acquired in the previous parameter optimization process.
In this embodiment, if the optimized target radio parameters are required to be set at the terminal side, the OMC may send the optimized target radio parameters of each coverage level to the corresponding terminal, so that the terminal optimizes the target radio parameters, or after receiving the optimized target radio parameters of each coverage level, the base station sends the optimized target radio parameters of each coverage level to the corresponding terminal, so that the terminal optimizes the target radio parameters.
S505, the OMC operates for a preset time period.
After the OMC sends the optimized target parameters to the base station, the OMC operates for a preset period of time, and then goes to S501 to perform the optimization of the target wireless parameters of the next round. The preset time period can be flexibly set according to actual needs. The preset time period can be adjusted according to the change condition of the network state. For example, if the current network state is relatively stable, in order to save resources, the preset time period may be adjusted to be longer; if the current network state changes frequently, the preset time period can be shortened, and the wireless communication parameters can be optimized in time, so that the wireless communication parameters are suitable for various network environments.
For better understanding of the parameter optimization method in the present embodiment, an example will be described here.
For NB-IoT, after the sender sends a polling request to the receiver, a retransmission timer is set, if the status report of the receiver is not received after timeout, the polling request needs to be retransmitted; if the sender receives a corresponding status report from the receiver during the timer not expired, either Ack (Acknowledgement) or Nack (Negative Acknowledgement ) indicates that the receiver has received the poll request, at which point the retransmission timer is closed. The time length of the polling retransmission timer of different coverage levels is ensured to be slightly longer than the maximum time used by the polling transmission and the status report reply of the coverage level, and is less than the condition that the status report is still in the transmission process but the sending end is mistakenly failed to be the polling request, so that the polling request is sent again, the sending end replies the status report repeatedly, the air interface data throughput rate is reduced, the polling request which is failed to be sent cannot be retransmitted in time due to overlarge time, and the data response speed is reduced. Therefore, in order to match the polling retransmission timer duration with the current network state, the polling retransmission timer duration is set as the target radio parameter, and the index data related to the target radio parameter is the status report repetition reception number and the polling transmission and status report reception time. Referring to fig. 6, the optimization flow of the polling retransmission timer duration is as follows:
s601, the OMC collects system operation logs of the base station.
S602, the OMC extracts business flow information of each coverage level from the system operation log.
Because the NB-IoT system supports 3 different coverage levels, coverage level 0 and coverage level 1 and coverage level 2, respectively, the OMC extracts the business process information corresponding to coverage level 0, the business process information corresponding to coverage level 1 and the business process information corresponding to coverage level 2 from the system operation log, respectively.
S603, OMC extracts the repeated receiving times of the status report and the time of the polling transmission and the status report from the business flow information of each coverage level.
Extracting the repeated receiving times (assumed to be n 0) of the status report and the time (assumed to be t 1-0) of the polling transmission and the status report from the business process information corresponding to the coverage level 0; extracting the repeated receiving times (assumed to be n 1) of the status report and the time (assumed to be t 1-1) of the polling transmission and the status report from the business process information corresponding to the coverage level 1; the number of repeated reception times of the status report (assumed to be n 2) and the time of reception of the polling transmission and the status report (assumed to be t 1-2) are extracted from the business process information corresponding to the coverage level 2.
S604, OMC compares the state report repeated receiving times corresponding to each coverage level with the preset state report repeated receiving times limiting value corresponding to the coverage level, and modifies the polling retransmission timer duration of each coverage level by combining the change trend of the polling transmission time and the state report receiving time.
The OMC sets the limit value of the repeated receiving times of the status report of each coverage level in advance. Assuming that the status report repetition number of times limit value of the coverage level 0 is N0, the status report repetition number of times limit value of the coverage level 1 is N1, and the status report repetition number of times limit value of the coverage level 2 is N2. The trend of the change in the polling transmission and status report reception time is determined based on the polling transmission and status report reception time acquired this time and the polling transmission and status report reception time acquired in the last polling retransmission timer duration optimization process.
When the polling retransmission timer duration of the coverage level 0 is modified, the OMC compares N0 with N0, and determines the change trend of the polling transmission and status report reception time of the coverage level 0 based on t1-0 and t0-0 (t 0-0 is the polling transmission and status report reception time of the coverage level 0 acquired in the last polling retransmission timer duration optimization process). If N0< N0, or t1-0< t0-0 (i.e., the poll transmission and status report reception times decrease), then the poll retransmission timer duration for coverage level 0 is decreased; if N0> N0, or t1-0> t0-0 (i.e., the poll transmit and status report receive times increase), then the poll retransmission timer duration for coverage level 0 is increased.
For modifying the polling retransmission timer duration of the coverage level 1, please refer to a polling retransmission timer duration modification method of the coverage level 0, and modify the polling retransmission timer duration of the coverage level 1 based on N1, t1-1, t0-1 (t 0-1 is the polling transmission and status report receiving time of the coverage level 1 acquired in the previous polling retransmission timer duration optimization process).
For modifying the polling retransmission timer duration of the coverage level 2, please refer to a polling retransmission timer duration modification method of the coverage level 0, and modify the polling retransmission timer duration of the coverage level 2 based on N2, t1-2, and t0-2 (t 0-2 is the polling transmission and status report receiving time of the coverage level 2 acquired in the previous polling retransmission timer duration optimization process).
And S605, the OMC sends the polling retransmission timer duration of each coverage level after optimization to the base station, and the polling retransmission timer duration runs for a preset time period.
After a preset period of time, the process goes to S601.
According to the parameter optimization method provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in certain implementation processes, the current network state can be timely perceived based on the system operation log and the wireless parameters are optimized because the system operation log is information of a real-time service scene, so that the time delay of wireless parameter optimization is shortened, and the communication quality is improved.
Embodiment four:
the embodiment of the invention provides a parameter optimization device based on the first, second and third embodiments, wherein the device can be a base station or an OMC server. The device is used for implementing the parameter optimization method described in at least one of the first, second and third embodiments, and referring to fig. 7, the parameter optimization device includes a collection module 701 and an optimization module 702, where the collection module 701 is used for collecting a system operation log of a base station; and the optimizing module 702 is configured to optimize the target wireless parameters of the base station according to the system operation log.
The optimizing module 702 is further configured to extract business flow information of each coverage level from the system operation log; and optimizing the target wireless parameters related to each coverage level of the base station based on the business process information of each coverage level.
The optimizing module 702 is further configured to extract, from the business process information in the system running log, index data related to the target wireless parameter; the target radio parameters of the base station are optimized based on the index data related to the target radio parameters. The target wireless parameter includes, but is not limited to, at least one of air interface repetition times, a reordering timer duration, a polling retransmission timer duration, and the like, the index data related to the air interface repetition times includes an error rate, and the like, the index data related to the reordering timer duration includes at least one of a time when an out-of-order message arrives, a message repetition receiving time, and the like, and the index data related to the polling retransmission timer duration includes at least one of a time used for polling transmission and a status report reply, a status report repetition receiving time, and the like. In this embodiment, the target wireless parameter of the base station may be optimized based on the index data related to the target wireless parameter and a preset limit value of the index data; the target wireless parameters of the base station can be optimized based on the index data related to the target wireless parameters and the preset range of the index data, and the target wireless parameters are maintained when the index data related to the target wireless parameters is in the preset range of the index data; and when the index data related to the target wireless parameters exceeds the preset range of the index data, optimizing the target wireless parameters. The change trend of the index data can be determined based on the index data related to the target wireless parameter acquired at this time and the index data related to the target wireless parameter acquired before, and the target wireless parameter of the base station can be optimized according to the change trend of the index data.
The optimizing module 702 of the parameter optimizing device runs for a preset period of time after optimizing the target wireless parameters, the collecting module 701 collects the system running log of the base station again, and a new round of parameter optimizing process is started and circulated.
The parameter optimization device provided by the embodiment of the invention can be applied to at least one of the following wireless networks: the wireless network comprises the Internet of things, a wireless network based on Long Term Evolution (LTE), a wireless network based on GSM, a wireless network based on Code Division Multiple Access (CDMA) and a wireless network based on fifth generation mobile communication technology, wherein the Internet of things comprises a narrow band Internet of things (NB-IoT) and the like.
In embodiments of the present invention, the collection may be implemented by a processor or other hardware unit, and the optimization module 702 may be implemented by a processor or other hardware unit.
According to the parameter optimizing device provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in certain implementation processes, the current network state can be timely perceived based on the system operation log because the system operation log is information of a real-time service scene, and the wireless parameters are optimized, so that the time delay of wireless parameter optimization is shortened, and the communication quality is improved.
Example five
The present embodiment also provides a base station, referring to fig. 8, which includes a first processor 801, a first memory 802, and a first communication bus 803, wherein:
The first communication bus 803 is used to enable connection communication between the first processor 801 and the first memory 802;
The first processor 801 is configured to execute one or more computer programs stored in the first memory 802 to implement at least one step of the parameter optimization methods in the first, second and third embodiments described above.
The present embodiment also provides a server, as shown in fig. 9, which includes a second processor 901, a second memory 902, and a second communication bus 903, wherein:
the second communication bus 903 is used to implement connection communication between the second processor 901 and the second memory 902;
The second processor 901 is configured to execute one or more computer programs stored in the second memory 902 to implement at least one step of the parameter optimization methods in the first, second and third embodiments described above. Wherein the server may be an OMC server.
The present embodiments also provide a storage medium including volatile or nonvolatile, removable or non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, computer program modules or other data. Computer-readable storage media includes, but is not limited to, RAM (Random Access Memory ), ROM (Read-Only Memory), EEPROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY, charged erasable programmable Read-Only Memory), flash Memory or other Memory technology, CD-ROM (Compact Disc Read-Only Memory), digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
The storage medium in this embodiment may be used to store one or more computer programs, where the stored one or more computer programs may be executed by a processor to implement at least one step of the parameter optimization method in the first embodiment, the second embodiment, and the third embodiment.
According to the base station, the server and the storage medium provided by the embodiment of the invention, the target wireless parameters of the base station are optimized according to the system operation log by collecting the system operation log of the base station, and in certain implementation processes, the current network state can be timely perceived and the wireless parameters are optimized based on the system operation log because the system operation log is information of a real-time service scene, so that the time delay of wireless parameter optimization is shortened, and the communication quality is improved.
It will be apparent to one skilled in the art that all or some of the steps of the methods, systems, functional modules/units in the apparatus disclosed above may be implemented as software (which may be implemented in computer program code executable by a computing apparatus), firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between the functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed cooperatively by several physical components. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit.
Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, computer program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and may include any information delivery media. Therefore, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a further detailed description of embodiments of the invention in connection with the specific embodiments, and it is not intended that the invention be limited to the specific embodiments described. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (12)
1. A method of parameter optimization, comprising:
collecting a system operation log of a base station;
Optimizing target wireless parameters of the base station according to the system operation log;
wherein the optimizing the target wireless parameters of the base station according to the system operation log includes:
extracting business process information of each coverage level from the system operation log;
Optimizing target wireless parameters corresponding to each coverage level of the base station based on the business process information of each coverage level;
The business process information comprises index data related to the target wireless parameters, the target wireless parameters comprise at least one of air interface repetition times, reordering timer time and polling retransmission timer time, the index data related to the air interface repetition times comprise error rates, the index data related to the reordering timer time comprises at least one of time of arrival of out-of-order messages and message repetition receiving times, and the index data related to the polling retransmission timer time comprises at least one of time used for polling transmission and state report reply and state report repetition receiving times.
2. The parameter optimization method of claim 1, wherein the parameter optimization method is applied to at least one of the following wireless networks: the wireless network comprises an internet of things, a wireless network based on Long Term Evolution (LTE), a wireless network based on GSM, a wireless network based on Code Division Multiple Access (CDMA) and a wireless network based on fifth generation mobile communication technology, wherein the internet of things comprises a narrowband internet of things (NB-IoT).
3. The method of optimizing parameters of claim 1, wherein said optimizing target wireless parameters of said base station based on said system log comprises:
Extracting index data related to the target wireless parameters from the business process information in the system operation log;
and optimizing the target wireless parameters of the base station based on the index data related to the target wireless parameters.
4. The parameter optimization method of claim 3, wherein optimizing the target wireless parameter of the base station based on the index data related to the target wireless parameter comprises:
And optimizing the target wireless parameters of the base station based on the index data related to the target wireless parameters and a preset limit value of the index data.
5. The parameter optimization method of claim 3, wherein optimizing the target wireless parameter of the base station based on the index data related to the target wireless parameter comprises:
when the index data related to the target wireless parameters are in a preset range of the index data, the target wireless parameters are maintained;
and when the index data related to the target wireless parameters exceeds the preset range of the index data, optimizing the target wireless parameters.
6. The parameter optimization method of claim 3, wherein optimizing the target wireless parameter of the base station based on the index data related to the target wireless parameter comprises:
And determining the change trend of the index data based on the index data related to the target wireless parameter acquired at the time and the index data related to the target wireless parameter acquired before, and optimizing the target wireless parameter of the base station according to the change trend of the index data.
7. The method for optimizing parameters according to claim 1, wherein after optimizing the target wireless parameters of the base station according to the system operation log, further comprises:
after a preset time period, re-collecting the system operation log of the base station;
And optimizing the target wireless parameters of the base station according to the re-collected system operation log, and circulating the optimization.
8. A parameter optimization apparatus comprising: the collecting module and the optimizing module are used for collecting the data,
The collecting module is used for collecting the system operation log of the base station;
the optimizing module is used for optimizing the target wireless parameters of the base station according to the system operation log;
the optimizing module is specifically configured to: extracting business process information of each coverage level from the system operation log;
Optimizing target wireless parameters corresponding to each coverage level of the base station based on the business process information of each coverage level;
The business process information comprises index data related to the target wireless parameters, the target wireless parameters comprise at least one of air interface repetition times, reordering timer time and polling retransmission timer time, the index data related to the air interface repetition times comprise error rates, the index data related to the reordering timer time comprises at least one of time of arrival of out-of-order messages and message repetition receiving times, and the index data related to the polling retransmission timer time comprises at least one of time used for polling transmission and state report reply and state report repetition receiving times.
9. The parameter optimization device of claim 8, wherein the parameter optimization device is a base station or a server.
10. A base station, comprising: a first processor, a first memory, and a first communication bus;
The first communication bus is used for realizing connection communication between the first processor and the first memory;
the first processor is configured to execute one or more computer programs stored in the first memory to implement the steps of the parameter optimization method of any one of claims 1 to 7.
11. A server, comprising: a second processor, a second memory, and a second communication bus;
the second communication bus is used for realizing connection communication between the second processor and the second memory;
The second processor is configured to execute one or more computer programs stored in the second memory to implement the steps of the parameter optimization method of any one of claims 1 to 7.
12. A storage medium storing one or more computer programs executable by one or more processors to implement the steps of the parameter optimization method of any one of claims 1-7.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910563855.8A CN112153664B (en) | 2019-06-26 | 2019-06-26 | Parameter optimization method, device, base station, server and storage medium |
| KR1020227001616A KR20220024642A (en) | 2019-06-26 | 2020-06-09 | Parameter optimization method, apparatus, base station, server and storage medium |
| PCT/CN2020/095116 WO2020259277A1 (en) | 2019-06-26 | 2020-06-09 | Parameter optimization method and apparatus, base station, server and storage medium |
| JP2021576802A JP7327738B2 (en) | 2019-06-26 | 2020-06-09 | Parameter optimization method, device, base station, server, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910563855.8A CN112153664B (en) | 2019-06-26 | 2019-06-26 | Parameter optimization method, device, base station, server and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112153664A CN112153664A (en) | 2020-12-29 |
| CN112153664B true CN112153664B (en) | 2024-05-31 |
Family
ID=73868371
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910563855.8A Active CN112153664B (en) | 2019-06-26 | 2019-06-26 | Parameter optimization method, device, base station, server and storage medium |
Country Status (4)
| Country | Link |
|---|---|
| JP (1) | JP7327738B2 (en) |
| KR (1) | KR20220024642A (en) |
| CN (1) | CN112153664B (en) |
| WO (1) | WO2020259277A1 (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115396904B (en) * | 2021-05-19 | 2023-08-22 | 中国联合网络通信集团有限公司 | Antenna configuration method, device and server |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1536788A (en) * | 2003-04-11 | 2004-10-13 | 华为技术有限公司 | Journal remaining system and method |
| CN107678905A (en) * | 2016-08-01 | 2018-02-09 | 大唐移动通信设备有限公司 | A kind of monitoring method and device |
| CN108882263A (en) * | 2017-05-08 | 2018-11-23 | 中兴通讯股份有限公司 | A kind of base station O&M method and apparatus |
| CN109151840A (en) * | 2018-09-26 | 2019-01-04 | 中国平安人寿保险股份有限公司 | Base station signal method of adjustment, device, computer equipment and storage medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007288579A (en) * | 2006-04-18 | 2007-11-01 | Fujitsu Ltd | Base station log collection apparatus, collection method of log of base station, and computer program |
| KR101580151B1 (en) * | 2009-03-16 | 2015-12-24 | 삼성전자주식회사 | Method and system for improving call drop due to radio link failure in mobile communication system |
| JP2012209613A (en) | 2011-03-29 | 2012-10-25 | Kyocera Corp | Communication device and communication method |
| CN102523598B (en) * | 2011-12-21 | 2015-06-03 | 华为技术有限公司 | Method for maintaining femtocells on basis of air interfaces thereof and user equipment |
| WO2015140848A1 (en) * | 2014-03-18 | 2015-09-24 | 日本電気株式会社 | Control apparatus, base station apparatus, radio terminal, and method for updating neighbour relation table |
| JP6541592B2 (en) * | 2016-03-10 | 2019-07-10 | ソフトバンク株式会社 | Method and system for detecting connected base station |
| US10205559B2 (en) | 2016-10-20 | 2019-02-12 | Verizon Patent And Licensing Inc. | System and method for increasing network efficiency using dynamic repeat requests adjustment |
-
2019
- 2019-06-26 CN CN201910563855.8A patent/CN112153664B/en active Active
-
2020
- 2020-06-09 JP JP2021576802A patent/JP7327738B2/en active Active
- 2020-06-09 KR KR1020227001616A patent/KR20220024642A/en not_active Application Discontinuation
- 2020-06-09 WO PCT/CN2020/095116 patent/WO2020259277A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1536788A (en) * | 2003-04-11 | 2004-10-13 | 华为技术有限公司 | Journal remaining system and method |
| CN107678905A (en) * | 2016-08-01 | 2018-02-09 | 大唐移动通信设备有限公司 | A kind of monitoring method and device |
| CN108882263A (en) * | 2017-05-08 | 2018-11-23 | 中兴通讯股份有限公司 | A kind of base station O&M method and apparatus |
| CN109151840A (en) * | 2018-09-26 | 2019-01-04 | 中国平安人寿保险股份有限公司 | Base station signal method of adjustment, device, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022539723A (en) | 2022-09-13 |
| KR20220024642A (en) | 2022-03-03 |
| WO2020259277A1 (en) | 2020-12-30 |
| JP7327738B2 (en) | 2023-08-16 |
| CN112153664A (en) | 2020-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10686562B2 (en) | Method and apparatus for feeding back hybrid automatic repeat request of downlink data | |
| US8548485B2 (en) | Methods and systems for adaptive broadcasting and multicasting in a wireless network | |
| JP2015039177A (en) | Providing acknowledgement information by wireless device | |
| WO2018172862A1 (en) | Methods of retransmission in semi-persistent scheduling without explicit harq feedback | |
| US10841068B2 (en) | DL HARQ timing in TDD with 1 ms tti and reduced processing time | |
| JPS63187736A (en) | Control of retransmitted message from transmission station belonging to cellular system | |
| CN111132358B (en) | Data packet transmission method, terminal and storage medium | |
| EP2887572B1 (en) | Open-loop link adaption adjusting method and device | |
| EP4022858B1 (en) | Systems and methods for wireless communication | |
| CN101699780B (en) | Data transmission method, user equipment, base station and data transmission system | |
| CN108353423B (en) | Method and arrangement for managing allocation of uplink resources with respect to remaining data blocks of an uplink transmission | |
| CN112153664B (en) | Parameter optimization method, device, base station, server and storage medium | |
| EP3203670A1 (en) | Method and apparatus for implementing a retransmission scheme | |
| WO2018086707A1 (en) | Feedback based flexible transmission scheme for contention-based urllc transmission | |
| CN106850153B (en) | Data retransmission method and system | |
| CN111865480B (en) | Straight-through link transmission method and terminal | |
| WO2021027383A1 (en) | Feedback information transmission method and apparatus | |
| CN1914824B (en) | Transmission power control apparatus in wireless communication system and method therefor | |
| EP4307600A2 (en) | Hybrid automatic repeat request method, semi-persistent scheduling method, and communication apparatus | |
| CN111698726B (en) | Data transmission method, device, related equipment and storage medium | |
| WO2024101169A1 (en) | Communication device, ric, method, and program | |
| WO2020034133A1 (en) | Communication method and apparatus | |
| CN114080063A (en) | Method, device and equipment for activating or deactivating secondary node or secondary cell | |
| CN114338839A (en) | TCP-based data transmission method and device, electronic equipment and storage medium | |
| CN116865913A (en) | Data packet transmission method and device, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |