CN116582891B - Load optimization method, device, medium and terminal of 5G wireless network system - Google Patents
Load optimization method, device, medium and terminal of 5G wireless network system Download PDFInfo
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- 238000013468 resource allocation Methods 0.000 claims description 20
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
- H04W28/09—Management thereof
- H04W28/0958—Management thereof based on metrics or performance parameters
- H04W28/0967—Quality of Service [QoS] parameters
- H04W28/0983—Quality of Service [QoS] parameters for optimizing bandwidth or throughput
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0446—Resources in time domain, e.g. slots or frames
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0457—Variable allocation of band or rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/12—Wireless traffic scheduling
- H04W72/1263—Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows
- H04W72/1268—Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows of uplink data flows
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/52—Allocation or scheduling criteria for wireless resources based on load
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application discloses a load optimization method, a device, a medium and a terminal of a 5G wireless network system, which are applied to base station equipment, wherein the method comprises the following steps: broadcasting maximum bandwidth configuration information to a user terminal in the process of communicating with the user terminal; allocating a corresponding fixed bandwidth range for the user terminal by combining the parameter information of the base station equipment processor; and determining the data scheduling type of the user terminal, and processing and transmitting a target signal based on the fixed bandwidth range of the user terminal. The load optimizing device of the 5G wireless network system comprises a control module, a scheduling module, a physical layer processing module and a radio frequency processing module. The application can meet the load optimization process of the base station equipment processor without integrating a coding and decoding accelerator module or adding a processing core, can be well compatible with different mobile phone models, and well meets the market demands of public security and protection electronic fences.
Description
Technical Field
The application relates to wireless communication equipment, in particular to a load optimization method, a device, a medium and a terminal of a 5G wireless network system, and belongs to the technical field of wireless communication equipment.
Background
With the development of 4G LTE networks and 5G NR networks, especially the 5G frequency band is continuously ploughed deeply, more and more 4G frequency bands are used as 5G base stations, and simultaneously the variety of mobile phones is more and more, so that a plurality of mobile phones have some inconsistencies on the 5G frequency band bandwidth support, particularly, the mobile phones supporting the 5G networks in early stage basically adopt the design of 5G maximum bandwidth (100M), and with the development of the 5G networks, the mobile phone support bandwidth is changed, so that the deployment of public security electronic fence brings some important technical challenges. For example, in order to ensure the acquisition rate, the system needs to be compatible with different mobile phone models. Therefore, the bandwidth configuration adopted by the 5G NR base station is particularly important, and in order to be compatible with different models, the configuration of the 5G maximum bandwidth is generally adopted for acquisition. Meanwhile, the electronic fence needs to support the mainstream frequency bands of different operators at the same time, so that one device is required to support the configuration of the maximum bandwidths of a plurality of carriers at the same time, the processing load of the 5G NR base station is increased, and further, the load optimization of the 5G electronic fence system becomes particularly important.
The existing 5G NR processor load optimization method generally integrates a hardware accelerator or increases the number of processor physical cores, transfers more processing load to the accelerator or other physical cores, and reduces the load of the whole system. However, the physical cores of the processors are increased or the hardware accelerators are used, especially the number of the processors is increased, the cost of the equipment is increased, meanwhile, the power consumption of the equipment is greatly increased, and a plurality of problems such as system heat dissipation and the like are caused, in the public security electronic fence system, the equipment is arranged outside a machine room, so that the power consumption is too high, the equipment cannot be effectively arranged, and therefore, the schemes cannot be optimized, and therefore, the problem of realizing the load optimization of the fixed power consumption or the number of the processors becomes a key problem of the 5G NR electronic fence.
In the conventional 5G system optimization methods, a third-party hardware accelerator is usually adopted or the number of processor physical cores is increased, in the optimization methods, the cost of equipment is increased, meanwhile, the power consumption of the equipment is increased, and in the public security electronic fence system, the equipment is arranged outside a machine room, so that the power consumption is too high, and the equipment cannot be effectively deployed.
Disclosure of Invention
In order to overcome the defect that the cost and the equipment power consumption are not considered in the load optimization method of the existing 5G wireless network system, the application provides a load optimization method, a device, a medium and a terminal of the 5G wireless network system.
In order to achieve the above object, the present application adopts the following technical solutions: a load optimization method of a 5G wireless network system, applied to a base station device, the method comprising:
broadcasting maximum bandwidth configuration information to a user terminal in the process of communicating with the user terminal;
allocating a corresponding fixed bandwidth range for the user terminal by combining the parameter information of the base station equipment processor;
and determining the data scheduling type of the user terminal, and processing and transmitting a target signal based on the fixed bandwidth range of the user terminal.
Optionally, when the ue performs downlink scheduling, the processing the target signal based on the fixed bandwidth range of the ue and then transmitting the target signal includes:
when the user terminal performs downlink scheduling, the base station equipment instructs the user terminal to perform resource allocation within the fixed bandwidth range;
encoding the target signal in the fixed bandwidth range, and performing frequency domain time domain conversion processing according to the fixed bandwidth range;
and after the frequency domain time domain conversion is completed, the data in the fixed bandwidth range is recovered to the maximum bandwidth signal through up sampling for transmission.
Optionally, the base station device sets the number of users from the current time slot to 0 in the time slot without downlink scheduling by the user terminal, skips the signal processing process and sends null data.
Optionally, when the ue performs uplink scheduling, the processing the target signal based on the fixed bandwidth range of the ue and then transmitting the target signal includes:
the base station equipment instructs the user terminal to allocate resources in the fixed bandwidth range, and performs time domain-frequency domain conversion on the target signal in the fixed bandwidth range;
and then performing resource allocation and decoding on the target signal in the fixed bandwidth range, and transmitting the target signal according to the fixed bandwidth range.
Optionally, the base station device sets the number of users from the current time slot to 0 and skips the current link processing procedure when there is no time slot for uplink scheduling by the user terminal.
Optionally, when the base station device deploys a plurality of cells, the base station device allocates according to a preset schedule and staggers the schedule of each cell in a time-sharing manner, so that only one carrier scheduling allocation exists in each time slot.
Optionally, each cell only performs payload processing on carriers with scheduling requirements in any time slot.
The application also discloses a load optimizing device of the 5G wireless network system, which comprises a control module, a scheduling module, a physical layer processing module and a radio frequency processing module, wherein the control module is used for broadcasting the maximum bandwidth configuration information in a system message broadcasted to a user terminal, the scheduling module is used for distributing a corresponding fixed bandwidth range for the user terminal by combining parameter information of a base station equipment processor, the physical layer processing module is in communication connection with the scheduling module and is used for processing a target signal based on the fixed bandwidth range of the user terminal, and the radio frequency processing module is in communication connection with the control module and is used for processing the processed target signal and transmitting the processed target signal according to configuration of the control module.
Optionally, when the ue performs downlink scheduling, the physical layer processing module is configured to perform at least one of link coding, resource allocation, and frequency domain time domain conversion in the fixed bandwidth range.
Optionally, when the ue performs uplink scheduling, the physical layer processing module is configured to perform at least one of link decoding, resource allocation and time domain/frequency domain conversion in the fixed bandwidth range.
Optionally, when the base station device deploys a plurality of cells, the scheduling module is further configured to schedule and time-share the scheduling of each cell according to a preset scheduling allocation, so that only one carrier scheduling allocation exists in each time slot.
Optionally, the physical layer processing module only performs payload processing on carriers with scheduling requirements in any time slot of each cell.
In a third aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the load optimization method of a 5G wireless network system described above.
In a fourth aspect, the present application discloses a terminal, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory, so that the terminal executes the load optimization method of the 5G wireless network system.
The load optimization method, the device, the medium and the terminal of the 5G wireless network system have the beneficial effects that:
in the uplink scheduling or downlink scheduling process of the user terminal, the user terminal is informed of the maximum bandwidth of the current base station equipment, a corresponding fixed bandwidth range is reasonably allocated for each user terminal according to the processing capacity of the base station equipment, in the signal scheduling process, the base station equipment performs resource allocation, coding and decoding, frequency domain time domain conversion and time domain frequency domain conversion in the fixed bandwidth range, when a plurality of cells are deployed, scheduling time-sharing of different cells is staggered according to the pre-scheduling, each time slot is guaranteed to only have one carrier scheduling allocation, so that each cell only carries out effective load processing for carriers with scheduling requirements in the corresponding time slot.
Drawings
Fig. 1 is a flowchart of a load optimization method of the 5G wireless network system according to the present application.
Fig. 2 is a flowchart of step S103 in the method for optimizing load of the 5G wireless network system according to the present application when the ue performs downlink scheduling.
Fig. 3 is a schematic diagram of a specific working process during downlink scheduling in the load optimization method of the 5G wireless network system according to the present application.
Fig. 4 is a schematic diagram of a specific working process during uplink scheduling in the load optimization method of the 5G wireless network system according to the present application.
Fig. 5 is a block diagram of a load optimizing apparatus of the 5G wireless network system according to the present application.
Fig. 6 is a schematic diagram of load balancing during multi-carrier deployment in the load optimizing device of the 5G wireless network system according to the present application.
Detailed Description
The following describes in further detail the embodiments of the present application with reference to the drawings and examples. The following examples are illustrative of the application and are not intended to limit the scope of the application.
The embodiment 1 of the application provides a load optimization method of a 5G wireless network system, which is applied to base station equipment, and referring to fig. 1, the optimization method comprises the following steps:
s101, broadcasting maximum bandwidth configuration information to a user terminal in a communication process with the user terminal.
After the connection between the user terminal and the base station device is established, the base station device transmits the maximum bandwidth of the current base station to the user terminal in the form of a 5G NR system message by broadcasting, so that each user terminal connected with the base station device can know the maximum bandwidth of the current base station device. So that different bandwidth ranges can be conveniently allocated to different user terminals in different time slots later, and the use requirement is met.
S102, allocating a corresponding fixed bandwidth range for the user terminal by combining the parameter information of the base station equipment processor.
In this embodiment, after the user terminal accesses the base station device, a corresponding fixed bandwidth range is allocated to each user terminal according to the related parameter information of the processor in the base station device, so as to limit the processing resources of the processor of the base station device and ensure the processing efficiency of the base station device during communication.
S103, determining the data scheduling type of the user terminal, and processing and transmitting a target signal based on the fixed bandwidth range of the user terminal.
In some embodiments, when the ue performs downlink scheduling, the processing the target signal based on the fixed bandwidth range of the ue and then transmitting the target signal, referring to fig. 2, includes:
s201, when the user terminal performs downlink scheduling, the base station equipment instructs the user terminal to perform resource allocation within the fixed bandwidth range;
s202, encoding the target signal in the fixed bandwidth range, and performing frequency domain time domain conversion processing according to the fixed bandwidth range;
s203, after the frequency domain time domain conversion is completed, the data in the fixed bandwidth range is recovered to the maximum bandwidth signal through up sampling for transmission.
In this embodiment, when the ue performs downlink scheduling, the base station apparatus first instructs the ue to perform resource allocation within a pre-allocated fixed bandwidth range, so as to limit a usage resource range of the ue, thereby reducing a load of the base station apparatus. Referring to fig. 3, taking the maximum bandwidth as 100M and the fixed bandwidth range as 20M as an example, in a specific downlink scheduling process, the base station device first determines whether downlink scheduling is performed, after determining that downlink scheduling is performed, according to the allocated fixed bandwidth range, the base station device limits the user terminal to perform downlink scheduling in the current fixed bandwidth range, then sequentially encodes a target signal to be scheduled, performs resource allocation and frequency domain time domain conversion in the fixed bandwidth range, and after completing the processing process, restores the current fixed bandwidth data to the maximum bandwidth through up-sampling, and then sends the restored data to the user terminal to complete the downlink scheduling process.
In some other embodiments, the base station device sets the number of users reached in the current time slot to 0 in a time slot where the user terminal does not perform downlink scheduling, skips a signal processing process, and sends null data.
Specifically, with continued reference to fig. 3, when the base station device does not have a downlink scheduled time slot, the base station device determines that the current time slot user number is 0, so that the processing procedures of link coding, resource allocation and frequency domain time domain conversion are skipped, and null data of all 0 are transmitted, and meanwhile, the base station device restores the fixed bandwidth range to the maximum bandwidth through up-sampling for signal transmission.
In some embodiments, when the ue performs uplink scheduling, the processing the target signal based on the fixed bandwidth range of the ue and then transmitting the target signal includes:
the base station equipment instructs the user terminal to allocate resources in the fixed bandwidth range, and performs time domain-frequency domain conversion on the target signal in the fixed bandwidth range;
and then performing resource allocation and decoding on the target signal in the fixed bandwidth range, and transmitting the target signal according to the fixed bandwidth range.
In this embodiment, referring to fig. 4, taking the maximum bandwidth as 100M and the fixed bandwidth range as 20M as an example, when the ue performs uplink scheduling, when the bs device receives uplink data, the bs device downsamples the maximum bandwidth 100M bandwidth data to the fixed bandwidth 20M by upsampling according to the allocated fixed bandwidth range, and then transmits the downsampled data to the baseband. Aiming at the uplink scheduling user time slot, in a fixed bandwidth of 20M, the base station equipment sequentially performs time domain and frequency domain conversion calculation, resource solution allocation and decoding processes in the time slot.
In still other embodiments, the base station device sets the number of users to which the current time slot arrives to 0 in a time slot in which no uplink scheduling is performed by the user terminal, and skips the current link processing procedure. Specifically, for the time slot without uplink user, the base station device determines that the number of uplink users in the current time slot is 0, and the uplink skips the current link processing procedure.
In some other embodiments, when the base station device deploys a plurality of cells, the base station device allocates according to a preset schedule and staggers the schedule of each cell in a time-sharing manner, so that each time slot only has one carrier schedule allocation, and each cell only carries out payload processing on carriers with scheduling requirements in any time slot. According to the using characteristics of the electronic fence, the user type random access of the type equipment is prior to the user service rate (namely, the user service data of the type equipment is less, so that the user can be preferentially ensured to access the equipment), and by combining the unique property of 5G NR, a mobile phone synchronizes a 5G cell, 5G NR cell Single Side Band (SSB) and SIB1 scheduling time slot information are concentrated in a certain time slot in a 20ms period, a mobile phone synchronizes a 4G cell, and in a 20ms period, each scheduling time slot of an LTE cell reference signal (Cell Reference Signal, CRS) needs to be synchronized, and only SSB, SIB1 signals and data of a physical downlink shared channel (Physical Downlink Shared Channel, PDSCH) of a corresponding user are processed in each 5G carrier cell according to the characteristics, so that the load of 5G NR downlink processing is greatly reduced; in the same 20ms period, the 4G transmits secondary synchronization signals (Secondary Synchronization Signal, SSS), primary synchronization signals (Primary Synchronization Signal, PSS) and physical broadcast channels (Physical Broadcast Channel, PBCH) in fixed time slots, and meanwhile, each time slot needs to transmit a CRS signal for mobile phone synchronization, so that each time slot of each carrier of the 4G needs to perform coding and frequency domain time domain conversion operation, but the 5G only needs to transmit the PSS/SS/PBCHS for synchronization in a certain time slot within 20ms, and does not need to transmit the CRS signal in each time slot, so that only needs to perform coding and frequency domain time domain conversion operation in the fixed time slot, and load of base station equipment can be effectively reduced. The problem of multi-carrier processing load is well solved by a time-sharing staggered scheduling mode.
The application relates to a load optimizing method of a 5G wireless network system, which informs a user terminal of the maximum bandwidth of the current base station equipment in the uplink scheduling or downlink scheduling process of the user terminal, reasonably distributes a corresponding fixed bandwidth range for each user terminal according to the processing capacity of the base station equipment, and in the signal scheduling process, the base station equipment performs resource distribution, resource de-distribution, coding and decoding, frequency domain time domain conversion and time domain frequency domain conversion in the fixed bandwidth range, and when a plurality of cells are deployed, the scheduling time division of different cells is staggered according to the prior scheduling, each time slot is ensured to only have one carrier scheduling distribution, so that each cell only carries out effective load processing for carriers with scheduling requirements in the corresponding time slot.
The embodiment 2 of the present application provides a load optimizing device of a 5G wireless network system, referring to fig. 5, the load optimizing device includes a control module 501, a scheduling module 502, a physical layer processing module 503 and a radio frequency processing module 504, where the control module 501 is configured to broadcast maximum bandwidth configuration information in a system message broadcast to a user terminal 505, the scheduling module 502 is configured to allocate a corresponding fixed bandwidth range to the user terminal 505 in combination with parameter information of the base station device processor, the physical layer processing module 503 is in communication connection with the scheduling module 502, and is configured to process a target signal based on the fixed bandwidth range of the user terminal 505, and the radio frequency processing module 504 is in communication connection with the control module 501, and is configured to process the processed target signal and transmit the processed target signal according to configuration of the control module 501.
In some embodiments, the physical layer processing module 503 is configured to perform at least one of link coding, resource allocation, and frequency domain time domain conversion in the fixed bandwidth range when the ue is downlink scheduled.
Specifically, during the communication between the ue 505 and the bs device, the control module 501 first sends a 5G NR system message to the ue 505 in a broadcast manner to inform the ue 505 of the maximum bandwidth of the bs device. And when the ue 505 performs downlink scheduling, the scheduling module 502 configures a corresponding fixed bandwidth range for the ue 505 in combination with the current parameter information of the base station device processor, so as to limit the ue 505 from performing signal transmission in the fixed bandwidth range. And based on the fixed bandwidth range determined by the scheduling module 502, the physical layer processing module 503 performs the link coding, resource allocation and frequency domain time domain conversion processing procedures in the current fixed bandwidth range. For the time slot without downlink scheduling user, the scheduling module 502 informs the physical layer processing module 503 that the current time slot user number is 0, and according to the scheduling instruction of the scheduling module 502, when no user is scheduled, the physical layer processing module 503 only sends all 0 null data in the time slot according to the scheduling instruction of the scheduling module 502, and does not perform link processing. At the same time, the control module 501 configures the radio frequency processing module 504, and restores the fixed 20M bandwidth data to the 5G maximum bandwidth 100M signal for transmission through upsampling.
In some embodiments, the physical layer processing module 503 is configured to perform at least one of link decoding, resource allocation and time-domain-frequency-domain conversion in the fixed bandwidth range when the ue is uplink scheduled.
Specifically, for uplink received data, the control module 501 configures the radio frequency processing module 504 to downsample the maximum bandwidth 100M bandwidth data to a 20M signal by upsampling, and transmit the 20M signal to the baseband; for uplink scheduled user time slots, the scheduling module 502 instructs the processing physical layer processing module 503 to perform processing such as link decoding, resource allocation, and frequency conversion on the time slots. According to the scheduling instruction of the scheduling module 502, the physical layer processing module 503 only processes and receives 20M data when there is a time slot of a scheduling user, and performs time-frequency conversion, resource allocation and decoding operations. While for a time slot without an uplink user, the scheduling module 502 notifies the physical layer processing module 503 that the number of uplink users in the time slot is 0, and the physical layer processing module 503 skips the entire link processing.
In some embodiments, when the base station device deploys a plurality of cells, the scheduling module 502 is further configured to time-share the scheduling of each of the cells according to a preset scheduling allocation, so that only one carrier scheduling allocation exists in each time slot, and the physical layer processing module 503 performs payload processing on only carriers with scheduling requirements in any time slot of each of the cells.
Specifically, referring to fig. 6, in time slot 0, the scheduling module 502 schedules carrier 0 users, does not schedule carrier 1 and 2 core carrier users, and simultaneously in time slot 0, the physical layer processing module 503 performs downlink coding, uplink decoding, downlink transmitting 0 for carriers 1 and 2, and uplink does not process. In the next time slot 1, the scheduling module 502 schedules the carrier 1 user, does not schedule the carrier 0 and the carrier 2 core carrier users, and simultaneously in the time slot 1, the physical layer processing module 503 performs downlink coding and uplink decoding on the carrier 1, performs downlink transmission 0 on the carriers 0 and 2, and does not process uplink. At the next time slot 2, scheduling module 502 schedules carrier 2 users, not scheduling carrier 0 and 1 core carrier users. Meanwhile, in the time slot 2, the physical layer processing module 503 performs downlink coding and uplink decoding on the carrier 2, performs downlink transmission 0 on the carrier 0/1, and does not process uplink. The problem of multi-carrier processing load is well solved through the time-sharing staggered scheduling, and multi-carrier staggered scheduling depends on different carrier scheduling requirements of different time slots, so that the scheme is not particularly limited and is not repeated here.
It should be noted that, it should be understood that the division of the modules of the above apparatus is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated. And these modules may all be implemented in software in the form of calls by the processing element; or can be realized in hardware; the method can also be realized in a form of calling software by a processing element, and the method can be realized in a form of hardware by a part of modules. For example, the selection module may be a processing element that is set up separately, may be implemented in a chip of the system, or may be stored in a memory of the system in the form of program code, and may be called by a processing element of the system to execute the functions of the x module. The implementation of the other modules is similar. In addition, all or part of the modules can be integrated together or can be independently implemented. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in a software form.
The application also discloses a computer readable storage medium, wherein the computer readable storage medium is stored with a computer program, and the computer program is executed by a processor to execute the load optimization method of the 5G wireless network system.
The storage medium of the present application stores a computer program which, when executed by a processor, implements the load optimization method of the 5G wireless network system described above. The storage medium includes: read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disks, U-discs, memory cards, or optical discs, and the like, which can store program codes.
In another embodiment of the disclosure, the present application further provides a terminal, including: a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute the computer program stored in the memory, so that the terminal executes the load optimization method of the 5G wireless network system.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The functional units in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: flash memory, removable hard disk, read-only memory, random access memory, magnetic or optical disk, and the like.
The foregoing is merely a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited to this, and any changes or substitutions within the technical scope disclosed in the embodiment of the present application should be covered in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.
Claims (13)
1. A load optimization method for a 5G wireless network system, applied to a base station device, the method comprising:
broadcasting the maximum bandwidth configuration information of the current base station to the user terminal in the process of communicating with the user terminal;
limiting all user terminals to a corresponding fixed bandwidth range by combining parameter information of the base station equipment processor;
determining the data scheduling type of the user terminal, and processing and transmitting a target signal based on the fixed bandwidth range of the user terminal; when the user terminal performs downlink scheduling, the base station equipment instructs the user terminal to perform resource allocation within the fixed bandwidth range; encoding the target signal in the fixed bandwidth range, and performing frequency domain time domain conversion processing according to the fixed bandwidth range; and after the frequency domain time domain conversion is completed, the data in the fixed bandwidth range is recovered to the maximum bandwidth signal through up sampling for transmission.
2. The load optimizing method of 5G wireless network system according to claim 1, wherein the base station device sets the number of users to which the current time slot arrives to 0 in a time slot in which no user terminal performs downlink scheduling, skips a signal processing process, and transmits null data.
3. The method for optimizing load of 5G wireless network system according to claim 1, wherein when the ue performs uplink scheduling, the processing and transmitting the target signal based on the fixed bandwidth range of the ue includes:
the base station equipment instructs the user terminal to allocate resources in the fixed bandwidth range, and performs time domain-frequency domain conversion on the target signal in the fixed bandwidth range; and then performing resource allocation and decoding on the target signal in the fixed bandwidth range, and transmitting the target signal according to the fixed bandwidth range.
4. The load optimizing method of 5G wireless network system according to claim 1, wherein the base station device sets the number of users to which the current time slot arrives to 0 in a time slot in which no uplink scheduling is performed by the user terminal, and skips the current link processing procedure.
5. The load optimizing method of a 5G wireless network system according to any one of claims 1 to 4, wherein when the base station apparatus deploys a plurality of cells, the base station apparatus allocates according to a preset schedule and time-staggers the schedule of each cell so that there is only one carrier schedule allocation per slot.
6. The method of load optimization for a 5G wireless network system of claim 5, wherein each of the cells performs payload processing only on carriers having scheduling requirements in any time slot.
7. The load optimizing device of the 5G wireless network system is characterized by comprising a control module, a scheduling module, a physical layer processing module and a radio frequency processing module, wherein the control module is used for broadcasting the maximum bandwidth configuration information of a current base station to a user terminal in the process of communicating with the user terminal; the scheduling module is used for limiting all user terminals to a corresponding fixed bandwidth range by combining parameter information of a base station equipment processor; the physical layer processing module is in communication connection with the scheduling module and is used for determining the data scheduling type of the user terminal, processing and transmitting a target signal based on the fixed bandwidth range of the user terminal, wherein when the user terminal performs downlink scheduling, the base station equipment indicates the user terminal to perform resource allocation within the fixed bandwidth range; encoding the target signal in the fixed bandwidth range, and performing frequency domain time domain conversion processing according to the fixed bandwidth range; after the frequency domain time domain conversion is completed, the data in the fixed bandwidth range is restored to the maximum bandwidth signal through up sampling for transmission; the radio frequency processing module is in communication connection with the control module and is used for processing and transmitting the processed target signal according to the configuration of the control module.
8. The load optimizing device of claim 7, wherein the physical layer processing module is configured to perform at least one of link coding, resource allocation, and frequency domain time domain conversion in the fixed bandwidth range when the ue is scheduled downstream.
9. The load optimizing device of claim 7, wherein the physical layer processing module is configured to perform at least one of link decoding, resource allocation and time-domain-frequency-domain conversion in the fixed bandwidth range when the ue is scheduled uplink.
10. The load optimizing apparatus of the 5G wireless network system according to claim 7, wherein when the base station device deploys a plurality of cells, the scheduling module is further configured to time-share the scheduling of each of the cells according to a preset scheduling allocation such that there is only one carrier scheduling allocation per time slot.
11. The load optimizing apparatus of 5G wireless network system of claim 10, wherein the physical layer processing module performs payload processing only on the scheduled needs carrier in any time slot of each of the cells.
12. A storage medium having stored thereon a computer program, which when executed by a processor implements the load optimization method of a 5G wireless network system according to any of claims 1 to 6.
13. A terminal, comprising: a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute the computer program stored in the memory, so that the terminal performs the load optimization method of the 5G wireless network system according to any one of claims 1 to 6.
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