CN113473533B - Method and system for dynamically adjusting wireless base station deployment based on GPU virtualization - Google Patents

Method and system for dynamically adjusting wireless base station deployment based on GPU virtualization Download PDF

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CN113473533B
CN113473533B CN202110739008.XA CN202110739008A CN113473533B CN 113473533 B CN113473533 B CN 113473533B CN 202110739008 A CN202110739008 A CN 202110739008A CN 113473533 B CN113473533 B CN 113473533B
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base station
terminals
accessed
preset threshold
threshold value
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CN113473533A (en
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石忠波
王伟
鲍清华
孙建华
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Aerospace Xintong Technology Co ltd
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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
    • H04W28/086—Load balancing or load distribution among access entities
    • H04W28/0861—Load balancing or load distribution among access entities between base stations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/08—Reselecting an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/16—Performing reselection for specific purposes
    • H04W36/22—Performing reselection for specific purposes for handling the traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • G06F2009/45595—Network integration; Enabling network access in virtual machine instances
    • 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
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
    • 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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  • Computer Networks & Wireless Communication (AREA)
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  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to the technical field of mobile communication, in particular to a method and a system for dynamically adjusting wireless base station deployment based on GPU virtualization, wherein the method comprises the following steps: s1, adopting GPU virtualization to provide calculation capability for DU, operating DU in a container, and connecting the front-transmitting port of DU with RU through a virtual front-transmitting network card; s2, dynamically generating a scheduling scheme according to the number of terminals accessed to the base station and the current strategy; s3, dynamically adjusting the running number of DUs by adopting a scheduling algorithm and a container arrangement engine according to a scheduling scheme; and S4, dynamically adjusting the connection of the DU and the RU according to the scheduling scheme and the data of the current DU and RU and taking effect in real time. The scheme provides a high-automation and strong-adaptability method for dynamically adjusting the deployment of the wireless base station based on GPU virtualization, so that the wireless base station can achieve high efficiency and intelligent energy conservation.

Description

Method and system for dynamically adjusting wireless base station deployment based on GPU virtualization
Technical Field
The invention relates to the technical field of mobile communication, in particular to a method and a system for dynamically adjusting wireless base station deployment based on GPU virtualization.
Background
Unlike the LTE base station, the 5G redefines the radio base station architecture, and divides a baseband processing Unit (BBU) in the radio base station into two functional entities, namely a Centralized Unit (CU) and a Distributed Unit (DU), with a PDCP/RLC layer as a boundary. Wherein the DUs are connected Radio Units (RUs), mainly handling RLC, MAC and part of the PHY layer functions, and the logical node comprises a subset of eNB/gNB functions, the operation of which is controlled by the CU, depending on the function splitting option. The CU is responsible for the central unit handling higher layer protocols like RRC, PDCP etc. The split architecture enables the 5G network to be distributed between CUs and DUs using different protocol stacks, depending on the relay availability and network design. The CU may manage the plurality of DUs centrally through the upload interface.
Along with the daily life network uses more and more frequently, wireless base station's construction is also more and more, therefore wireless base station's energy consumption problem is also more and more serious, and the most power consumptive part of base station is exactly the part that BBU belongs to, and especially DU part power consumption is big, but some base station connect the number of people few, even nobody is connected, opens always and can cause the energy and waste, has increased the cost of full coverage network, therefore wireless base station needs to adopt some energy-conserving modes to save energy.
The energy-saving mode adopted by the existing wireless base station is mainly a remote control mode, the wireless base station with few access terminals is searched through background data analysis, and then the wireless base station is remotely shut down in a manual mode, but the energy-saving mode has some problems that firstly, automation cannot be realized, the corresponding wireless base station needs to be manually closed according to the analysis result, operation and maintenance are not facilitated, and the terminal which is originally accessed cannot be accessed to carry out communication due to sudden closing of the wireless base station; secondly, the problem of untimely manual operation exists, and after the wireless base station is remotely closed, the wireless base station may not be opened in time, so that the terminal cannot be accessed to the wireless base station, and communication faults are caused.
Disclosure of Invention
One of the objectives of the present invention is to provide a method for dynamically adjusting the deployment of a wireless base station based on GPU virtualization, which is highly automated and highly adaptive, so as to achieve efficient and intelligent energy saving of the wireless base station.
The invention provides a basic scheme I: a method for dynamically adjusting wireless base station deployment based on GPU virtualization comprises the following steps:
s1, adopting GPU virtualization to provide calculation capability for DU, operating DU in a container, and connecting the front-transmitting port of DU with RU through a virtual front-transmitting network card;
s2, dynamically generating a scheduling scheme according to the number of terminals accessed to the base station and the current strategy;
s3, dynamically adjusting the running number of DUs by adopting a scheduling algorithm and a container arrangement engine according to a scheduling scheme;
and S4, dynamically adjusting the connection of the DU and RU and taking effect in real time according to the scheduling scheme and the data of the current DU and RU.
The beneficial effects of the first basic scheme are as follows: the DU needs a special chip to provide computing power for the DU, the FPGA is generally adopted to provide the computing power for the DU in the prior art, the GPU is adopted to replace the FPGA to provide the computing power for the DU in the scheme, the GPU supports virtualization, one GPU can virtualize a plurality of virtual GPUs to provide the computing power for the DU, the DU which provides the computing power through GPU virtualization can run in a container, and dynamic adjustment of the number of the DU in the subsequent step is supported.
Dynamically generating a scheduling scheme according to the number of terminals accessed by the base station and a current strategy; according to the scheduling scheme, a scheduling algorithm and a container arrangement engine are adopted to dynamically adjust the running number of the DUs; because the DUs run in the container, when the number of the DUs is dynamically adjusted, the container arrangement engine is adopted, the running and the stopping of the DUs become flexible, and the running number of the DUs can be flexibly and conveniently increased and reduced according to the scheduling scheme. The operation number of DU is dynamically adjusted, the connection of DU and RU is also according to the scheduling scheme and the data of current DU and RU, the connection of dynamic adjustment DU and RU takes effect in real time, DU operates in the container, the fronthaul interface of DU is all realized by virtual network card, because the physical network card that the RU connects is the server place of container in fact, inside the physical network card virtual a plurality of virtual fronthaul network cards, the fronthaul interface of DU is connected with RU through virtual fronthaul network card, can make the connection of DU and RU not be limited to physical connection, can accomplish to cut along with and continue, nimble convenient realization dynamic switching connection. Therefore, the scheduling scheme is dynamically generated and the operation number of the DUs is dynamically adjusted, for example, when the number of the terminals accessed by the base station is zero, the operation number of the DUs can be dynamically reduced, the power consumption of the base station is saved, the purposes of high efficiency and intelligent dynamic energy saving are achieved, manual operation is not needed for the whole dynamic adjustment, high automation is realized, and the self-adaptability is strong.
Further, the policy includes: an equalization mode and a power-saving mode;
the balancing mode is to balance the number of terminals accessed by each base station;
the energy-saving mode is that the number of the terminals accessed by the base station is less than the DU of the preset threshold value.
Has the beneficial effects that: the balancing mode is to balance the number of terminals accessed by each base station, and the number of terminals accessed by each base station can be balanced as much as possible in the balancing mode, so that the base stations are prevented from being overloaded, and the operation speed of the whole network is increased. The energy-saving mode is to close the DUs of which the number of the terminals accessed by the base station is less than a preset threshold value, and the DUs of the base station with less number of the accessed terminals can be closed in the energy-saving mode, so that the energy consumption of the DUs is reduced, and the energy-saving effect is achieved.
Further, the step S2 of dynamically generating a scheduling scheme according to the number of terminals accessed by the base station and the current policy includes:
s201, counting the number of terminals accessed by a base station, judging whether the current strategy is in a balanced mode or an energy-saving mode, and executing S202 if the strategy is in the balanced mode; if the mode is the energy-saving mode, executing S203;
s202, acquiring a preset threshold value of a balance mode, and generating a balance adjustment scheme when the number of terminals accessed by a base station is greater than the preset threshold value and the difference between the number of terminals accessed by the base station and the preset threshold value is greater than the difference between the number of terminals accessed by the base station and the preset threshold value;
s203, acquiring a preset threshold value of the energy-saving mode, and generating an energy-saving scheduling scheme when the number of terminals accessed by the base station is lower than the preset threshold value.
Has the beneficial effects that: the generated scheduling schemes in different modes are different, so that the scheduling scheme most suitable for the current mode is generated, and the flexible dynamic adjustment function is achieved. In the equalization mode, when the number of terminals accessed by the base station is greater than a preset threshold and the difference between the number of terminals accessed by the base station and the preset threshold is greater than the difference between the preset thresholds, an equalization regulation scheme is generated.
Further, S3, according to the scheduling scheme, using a scheduling algorithm and a container scheduling engine, dynamically adjusting the number of DUs that run, includes:
s301, sorting the running data of the current DU;
s302, according to the scheduling scheme and the operation data of the DUs, dynamically adjusting the operation number of the DUs by adopting a scheduling algorithm and a container arrangement engine, wherein the method comprises the following steps:
if the scheduling scheme is an energy-saving scheduling scheme, scanning all base stations, carrying out terminal migration according to the number of terminals accessed by each base station and the upper limit of the number of the access terminals, migrating the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode to the base station with the maximum number of the access terminals but not reaching the upper limit of the access terminals, and then closing the DU of the migrated terminal base station;
if the scheduling scheme is an equilibrium scheduling scheme, scanning all base stations, migrating the terminals of the base stations with the number of the accessed terminals being greater than the preset threshold value of the equilibrium mode and the difference between the number of the accessed terminals and the preset threshold value being greater than the difference between the number of the accessed terminals and the preset threshold value to the base stations which do not exceed the preset threshold value of the equilibrium mode according to the number of the accessed terminals of each base station and the upper limit of the number of the accessed terminals, until the difference between the number of the accessed terminals of all the base stations is not greater than one, and increasing DU and allocating a virtual forward transmission network card to the DU when the number of the accessed terminals of all the base stations reaches the upper limit of the access terminals.
Has the advantages that: according to the energy-saving scheduling scheme, instead of only closing the base stations with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode, the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode are migrated to the base station with the maximum number of the accessed terminals but not reaching the access upper limit, and then the DU of the migrated base station is closed, so that the situation that the accessed terminals are suddenly disconnected to influence terminal communication and cause communication faults is prevented. The number of the base stations and the number of the accessed terminals are not completely divisible, so that a balanced scheduling scheme cannot ensure that the number of the accessed terminals of each base station is completely the same, the balanced scheduling scheme keeps the number of the accessed terminals of all the base stations as balanced as possible until the difference between the number of the accessed terminals of all the base stations is not more than one, and when the number of the accessed terminals of all the base stations reaches an access upper limit, a DU (data Unit) is added, so that the balance of the whole network communication is ensured, and the whole communication speed is improved.
The invention also aims to provide a system for dynamically adjusting the deployment of the wireless base station based on GPU virtualization, which has high automation and strong self-adaptability, so as to realize the high-efficiency and intelligent energy conservation of the wireless base station.
The invention provides a second basic scheme: a system for dynamically adjusting wireless base station deployment based on GPU virtualization comprises a base station dispatching desk, a DU dispatching desk and a forward transmission dispatching desk;
the GPU is virtualized to provide calculation capacity for the DU, the DU is operated in a container, and a forward transmission port of the DU is connected with the RU through a virtual forward transmission network card;
the base station dispatching desk is used for dynamically generating a dispatching scheme according to the number of terminals accessed to the base station and a current strategy;
the DU dispatching desk is used for dynamically adjusting the running number of DUs by adopting a dispatching algorithm and a container arrangement engine according to a dispatching scheme;
and the forward transmission scheduling platform is used for dynamically adjusting the connection of the DU and the RU and enabling the connection to take effect in real time according to the scheduling scheme and the data of the current DU and RU.
The second basic scheme has the beneficial effects that: the DU needs a special chip to provide computing power for the DU, the FPGA is generally adopted to provide the computing power for the DU in the prior art, the GPU is adopted to replace the FPGA to provide the computing power for the DU in the scheme, the GPU supports virtualization, one GPU can virtualize a plurality of virtual GPUs to provide the computing power for the DU, the DU with the computing power provided by the GPU virtualization can run in a container, and the dynamic adjustment of the number of the DU by a base station dispatching desk, a DU dispatching desk and a fronthaul dispatching desk is supported.
The base station dispatching desk dynamically generates a dispatching scheme according to the number of terminals accessed by the base station and a current strategy; the DU dispatching desk dynamically adjusts the operation number of the DUs by adopting a dispatching algorithm and a container arrangement engine according to a dispatching scheme generated by the base station dispatching desk; because the DUs run in the container, when the number of the DUs is dynamically adjusted, the container arrangement engine is adopted, the running and the stopping of the DUs become flexible, and the running number of the DUs can be flexibly and conveniently increased and reduced according to the scheduling scheme. The operation number of the DU is dynamically adjusted, the connection between the DU and the RU is also realized by the forward transmission scheduling desk according to the scheduling scheme and the data of the current DU and RU, the connection between the DU and the RU is dynamically adjusted and takes effect in real time, the DU operates in the container, the forward transmission ports of the DU are all realized by the virtual network card, because the RU is actually the physical network card where the server of the container is located, a plurality of virtual forward transmission network cards are virtualized in the physical network card, and the forward transmission ports of the DU are connected with the RU through the virtual forward transmission network card, so that the connection between the DU and the RU is not limited to physical connection, the connection can be realized at any time and at any time, and the connection can be flexibly and conveniently realized through dynamic switching. Therefore, the system can dynamically generate the scheduling scheme and dynamically adjust the operation number of the DUs by matching the base station scheduling station, the DU scheduling station and the forward transmission scheduling station, for example, when the number of the terminals accessed by the base station is zero, the operation number of the DUs can be dynamically reduced, and the power consumption of the base station is saved, so that the purposes of high efficiency and intelligent dynamic energy saving are achieved, and the whole dynamic adjustment does not need manual operation, so that high automation is realized, and the self-adaptability is strong.
Further, the policy includes: an equalization mode and a power-saving mode;
the balancing mode is to balance the number of terminals accessed by each base station;
the energy-saving mode is that the number of the terminals accessed by the base station is closed to be less than the DU of a preset threshold value.
Has the advantages that: the balancing mode is to balance the number of terminals accessed by each base station, and the number of terminals accessed by each base station can be balanced as much as possible in the balancing mode, so that the base stations are prevented from being overloaded, and the operation speed of the whole network is increased. The energy-saving mode is to close the DUs of which the number of the terminals accessed by the base station is less than a preset threshold value, and the DUs of the base station with less number of the accessed terminals can be closed in the energy-saving mode, so that the energy consumption of the DUs is reduced, and the energy-saving effect is achieved.
Further, the base station scheduling station is configured to dynamically generate a scheduling scheme according to the number of terminals accessing the base station and a current policy, and includes:
counting the number of terminals accessed by the base station, judging whether the current strategy is in a balanced mode or an energy-saving mode, if so, acquiring a preset threshold value of the balanced mode, and when the number of the terminals accessed by the base station is greater than the preset threshold value and the difference between the number of the terminals accessed by the base station and the preset threshold value is greater than the difference between the preset threshold value and the preset threshold value, generating a balanced regulation scheme;
and if the terminal number is lower than the preset threshold value, generating an energy-saving scheduling scheme.
Has the advantages that: the generated scheduling schemes in different modes are different, so that the scheduling scheme most suitable for the current mode is generated, and the flexible dynamic adjustment function is achieved. In the equalization mode, when the number of terminals accessed by the base station is greater than a preset threshold and the difference between the number of terminals accessed by the base station and the preset threshold is greater than the difference between the preset thresholds, an equalization regulation scheme is generated.
Further, the DU scheduling console is configured to dynamically adjust the number of DUs running by using a scheduling algorithm and a container scheduling engine according to a scheduling scheme, and includes:
the operation data of the current DU is arranged;
according to the scheduling scheme and the operation data of the DUs, a scheduling algorithm and a container arrangement engine are adopted to dynamically adjust the operation number of the DUs, and the method comprises the following steps:
if the scheduling scheme is an energy-saving scheduling scheme, scanning all base stations, carrying out terminal migration according to the number of terminals accessed by each base station and the upper limit of the number of the access terminals, migrating the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode to the base station with the maximum number of the access terminals but not reaching the upper limit of the access terminals, and then closing the DU of the migrated terminal base station;
if the scheduling scheme is an equilibrium scheduling scheme, scanning all base stations, migrating the terminals of the base stations with the number of the accessed terminals being greater than the preset threshold value of the equilibrium mode and the difference between the number of the accessed terminals and the preset threshold value being greater than the difference between the number of the accessed terminals and the preset threshold value to the base stations which do not exceed the preset threshold value of the equilibrium mode according to the number of the accessed terminals of each base station and the upper limit of the number of the accessed terminals, until the difference between the number of the accessed terminals of all the base stations is not greater than one, and increasing DU and allocating a virtual forward transmission network card to the DU when the number of the accessed terminals of all the base stations reaches the upper limit of the access terminals.
Has the advantages that: according to the energy-saving scheduling scheme, instead of only closing the base stations with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode, the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode are migrated to the base station with the maximum number of the accessed terminals but not reaching the access upper limit, and then the DU of the migrated base station is closed, so that the situation that the accessed terminals are suddenly disconnected to influence terminal communication and cause communication faults is prevented. The number of the base stations and the number of the accessed terminals are not necessarily completely divided, so that the balanced scheduling scheme cannot ensure that the number of the accessed terminals of each base station is completely the same, the balanced scheduling scheme keeps the number of the accessed terminals of all the base stations as balanced as possible until the difference between the number of the accessed terminals of all the base stations is not more than one, and when the number of the accessed terminals of all the base stations reaches the access upper limit, the DU is increased, so that the balance of the whole network communication is ensured, and the whole communication speed is improved.
Drawings
FIG. 1 is a schematic flowchart of a first embodiment of a method for dynamically adjusting wireless base station deployment based on GPU virtualization according to the present invention;
fig. 2 is a logic block diagram of a second embodiment of a system for dynamically adjusting wireless base station deployment based on GPU virtualization according to the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
The embodiment is basically as shown in the attached figure 1: a method for dynamically adjusting wireless base station deployment based on GPU virtualization comprises the following steps:
s1, adopting GPU virtualization to provide calculation capability for DU, operating DU in a container, and connecting the front-transmitting port of DU with RU through a virtual front-transmitting network card; the container can be but not limited to a Docker container, the DU runs in the Docker container, and the forwarding ports of the DU are all realized by virtual network cards, so that the RU is actually connected to a physical network card where the Docker server is located, a plurality of virtual forwarding network cards are virtualized inside the physical network card, and the forwarding ports of the DU are connected with the RU through the virtual forwarding network cards. The DU needs a special chip to provide computing power for the DU, the FPGA is generally adopted to provide the computing power for the DU in the prior art, the GPU is adopted to replace the FPGA to provide the computing power for the DU in the scheme, the GPU supports virtualization, one GPU can virtualize a plurality of virtual GPUs to provide the computing power for the DU, the DU which provides the computing power through GPU virtualization can run in a container, and dynamic adjustment of the number of the DU in the subsequent step is supported.
S2, dynamically generating a scheduling scheme according to the number of terminals accessed to the base station and the current strategy, namely, performing real-time Docker container scheduling by a container scheduling engine; wherein, the terminal random access is successful, the number of the terminals accessed to the base station is calculated, and the strategy comprises: the system comprises a balancing mode and an energy-saving mode, wherein the balancing mode is used for balancing the number of terminals accessed by each base station; the energy-saving mode is that the number of the terminals accessed by the base station is closed to be less than the DU of a preset threshold value. S2 specifically includes:
s201, counting the number of terminals accessed by a base station, judging whether the current strategy is in a balanced mode or an energy-saving mode, and executing S202 if the strategy is in the balanced mode; if the mode is the energy-saving mode, executing S203;
s202, acquiring a preset threshold value of a balance mode, and generating a balance adjustment scheme when the number of terminals accessed by a base station is greater than the preset threshold value and the difference between the number of terminals accessed by the base station and the preset threshold value is greater than the difference between the number of terminals accessed by the base station and the preset threshold value; for example: suppose that the cell has three base stations: the method comprises a base station A, a base station B and a base station C, wherein the upper limit of the number of access terminals of each base station is 100, the number of terminals accessed by the base station A is 80, the number of terminals accessed by the base station B is 60, the number of terminals counted by the base station C is 2, a preset threshold value is 60, the difference between the preset threshold values is 5, the difference between the terminal accessed by the base station A and the preset threshold value is 20, and is greater than the difference between the preset threshold values by 5, a balanced scheduling scheme is generated, the access terminals of the base stations A, B and C are balanced as much as possible, and 32 access terminals of the base station A and 13 access terminals of the base station B are migrated to the base station C.
S203, acquiring a preset threshold value of the energy-saving mode, and generating an energy-saving scheduling scheme when the number of terminals accessed by the base station is lower than the preset threshold value. For example: suppose that the cell has three base stations: the energy-saving scheduling method comprises a base station A, a base station B and a base station C, wherein the upper limit of the number of access terminals of each base station is 100, the number of terminals accessed by the base station A is 80, the number of terminals accessed by the base station B is 60, the number of terminals counted by the base station C is 2 at present, and a preset threshold value is 5, so that an energy-saving scheduling scheme is generated, namely the terminal of the base station C is migrated to the base station A, and then a DU of the base station C is closed.
S3, dynamically adjusting the running number of DUs by adopting a scheduling algorithm and a container arrangement engine according to a scheduling scheme; the scheduling algorithm is reasonably selected according to actual requirements, and the container arrangement engine can adopt but not limited to kubernets (K8 s for short). S3, specifically including:
s301, sorting the running data of the current DU;
s302, according to the scheduling scheme and the operation data of the DUs, dynamically adjusting the operation number of the DUs by adopting a scheduling algorithm and a container arrangement engine, wherein the method comprises the following steps:
if the scheduling scheme is an energy-saving scheduling scheme, scanning all base stations, carrying out terminal migration according to the number of terminals accessed by each base station and the upper limit of the number of the access terminals, migrating the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode to the base station with the maximum number of the access terminals but not reaching the upper limit of the access terminals, and then closing the DU of the migrated terminal base station;
if the scheduling scheme is an equilibrium scheduling scheme, scanning all base stations, migrating the terminals of the base stations with the number of the accessed terminals being greater than the preset threshold value of the equilibrium mode and the difference between the number of the accessed terminals and the preset threshold value being greater than the difference between the number of the accessed terminals and the preset threshold value to the base stations which do not exceed the preset threshold value of the equilibrium mode according to the number of the accessed terminals of each base station and the upper limit of the number of the accessed terminals, until the difference between the number of the accessed terminals of all the base stations is not greater than one, and increasing DU and allocating a virtual forward transmission network card to the DU when the number of the accessed terminals of all the base stations reaches the upper limit of the access terminals.
S4, according to the scheduling scheme and the data of the current DU and RU, dynamically adjusting the connection of the DU and RU and taking effect in real time, ensuring that all the operating DUs have RUs connected with the DUs, and even if the RUs are disconnected with the DU, the RUs cannot be powered off, thereby preventing the RUs from being incapable of being started when the DUs need to be connected with the RUs.
The method can dynamically reduce the operation number of the DUs by dynamically generating the scheduling scheme and dynamically adjusting the operation number of the DUs, for example, when the number of terminals accessed by the base station is zero, so that the power consumption of the base station is saved, the purposes of high efficiency and intelligent dynamic energy saving are achieved, manual operation is not needed in the whole dynamic adjustment, high automation is realized, and the self-adaptability is strong.
Example two
The embodiment is basically as shown in the attached figure 2: a system for dynamically adjusting wireless base station deployment based on GPU virtualization comprises a base station dispatching desk, a DU dispatching desk and a forward transmission dispatching desk;
the GPU is virtualized to provide calculation capacity for the DU, the DU is operated in a container, and a forward transmission port of the DU is connected with the RU through a virtual forward transmission network card; the container can be but not limited to a Docker container, the DU runs in the Docker container, and the forwarding ports of the DU are all realized by virtual network cards, so that the RU is actually connected to a physical network card where the Docker server is located, a plurality of virtual forwarding network cards are virtualized inside the physical network card, and the forwarding ports of the DU are connected with the RU through the virtual forwarding network cards. The DU needs a special chip to provide computing power for the DU, the FPGA is generally adopted to provide the computing power for the DU in the prior art, the GPU is adopted to replace the FPGA to provide the computing power for the DU in the scheme, the GPU supports virtualization, one GPU can virtualize a plurality of virtual GPUs to provide the computing power for the DU, the DU which provides the computing power through GPU virtualization can run in a container, and dynamic adjustment of the number of the DU in the subsequent step is supported.
The base station scheduling platform is used for dynamically generating a scheduling scheme according to the number of terminals accessed to the base station and a current strategy, namely a container scheduling engine performs real-time scheduling on the Docker containers; the CU pool is obtained by the pooled CUs, a common physical mode can be adopted, a container or virtual machine mode can be adopted, and the base station dispatching desk is communicated with the DU dispatching desk through a relay network. And if the terminal random access is successful, calculating the number of the terminals accessed to the base station. The strategy comprises the following steps: the system comprises a balancing mode and an energy-saving mode, wherein the balancing mode is used for balancing the number of terminals accessed by each base station; the energy-saving mode is that the number of the terminals accessed by the base station is closed to be less than the DU of a preset threshold value. The method specifically comprises the following steps:
the base station dispatching station can count the number of terminals accessed by the base station in real time in an AI (automatic instruction) mode, judge whether the current strategy is an equilibrium mode or an energy-saving mode, acquire a preset threshold value of the equilibrium mode if the current strategy is the equilibrium mode, and generate an equilibrium regulation scheme when the number of terminals accessed by the base station is greater than the preset threshold value and the difference between the number of terminals accessed by the base station and the preset threshold value is greater than the difference between the number of terminals accessed by the base station and the preset threshold value;
and if the terminal number is lower than the preset threshold value, generating an energy-saving scheduling scheme.
The DU dispatching desk is used for dynamically adjusting the running number of DUs by adopting a dispatching algorithm and a container arrangement engine according to a dispatching scheme; the scheduling algorithm is reasonably selected according to actual requirements, and the container arrangement engine can adopt but is not limited to K8 s; the method specifically comprises the following steps:
the operation data of the current DU is arranged;
according to the scheduling scheme and the operation data of the DUs, a scheduling algorithm and a container scheduling engine are adopted to dynamically adjust the operation number of the DUs, wherein the scheduling algorithm is reasonably selected according to actual requirements, and the container scheduling engine can adopt but is not limited to K8s, and comprises the following steps:
if the scheduling scheme is an energy-saving scheduling scheme, scanning all base stations, performing terminal migration according to the number of terminals accessed by each base station and the upper limit of the number of access terminals, migrating the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode to the base station with the maximum number of the access terminals but not reaching the upper limit of the access terminals, and then closing the DU of the migrated base station terminal;
if the scheduling scheme is an equilibrium scheduling scheme, scanning all base stations, migrating the terminals of the base stations with the number of the accessed terminals being greater than the preset threshold value of the equilibrium mode and the difference between the number of the accessed terminals and the preset threshold value being greater than the difference between the number of the accessed terminals and the preset threshold value to the base stations which do not exceed the preset threshold value of the equilibrium mode according to the number of the accessed terminals of each base station and the upper limit of the number of the accessed terminals, until the difference between the number of the accessed terminals of all the base stations is not greater than one, and increasing DU (data Unit) and distributing a virtual forward transmission network card for the DU when the number of the accessed terminals of all the base stations reaches the upper limit of the access terminals; the forward transmission dispatching desk will inform the base station dispatching desk of all virtual forward transmission network cards and RUs, and when the base station dispatching desk detects the change of the number of the access terminals, the base station dispatching desk will inform the forward transmission dispatching desk to reconnect DU and RU by adopting the current strategy mode.
The fronthaul dispatching desk is used for dynamically adjusting the connection between the DU and the RU and enabling the connection to take effect in real time according to a dispatching scheme and the data of the current DU and RU, ensuring that all the operating DUs have RUs connected with the DUs, and preventing the RUs from being powered off even if the RUs are disconnected from the DUs, so that the RUs cannot be started when the DUs need to be connected with the RUs. The fronthaul dispatch station communicates with the RUs through the fronthaul switch. The current data of DU and RU are obtained by arranging in the dispatching scheme issued by the base station dispatching desk, and after the DU dispatching desk completes the dynamic regulation, the dynamic regulation command is issued to the forward dispatching desk, and after the forward dispatching desk receives the dynamic regulation command, the connection of DU and RU is dynamically regulated.
The system dynamically generates the scheduling scheme and dynamically adjusts the operation number of the DUs by matching the base station scheduling platform, the DU scheduling platform and the forward transmission scheduling platform, for example, when the number of the terminals accessed by the base station is zero, the operation number of the DUs can be dynamically reduced, and the power consumption of the base station is saved, so that the purposes of high efficiency and intelligent dynamic energy saving are achieved, manual operation is not needed for the whole dynamic adjustment, high automation is realized, and the self-adaptability is strong.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several variations and modifications can be made, which should also be considered as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the utility of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (6)

1. A method for dynamically adjusting wireless base station deployment based on GPU virtualization is characterized in that: the method comprises the following steps:
s1, adopting GPU virtualization to provide calculation capability for DU, operating DU in a container, and connecting the front-transmitting port of DU with RU through a virtual front-transmitting network card;
s2, comparing preset thresholds according to the number of terminals accessing the base station, the current strategy and the corresponding preset threshold, and dynamically generating a scheduling scheme; the strategy comprises the following steps: an equalization mode and a power-saving mode;
s3, dynamically adjusting the running number of DUs by adopting a scheduling algorithm and a container arrangement engine according to a scheduling scheme; wherein the dynamically adjusting according to the scheduling scheme generated in the balanced mode comprises: balancing the number of terminals accessed by each base station; according to the scheduling scheme generated in the energy-saving mode, the dynamic adjustment comprises the following steps: closing the DU with the number of terminals accessed by the base station less than a preset threshold;
and S4, dynamically adjusting the connection of the DU and RU and taking effect in real time according to the scheduling scheme and the data of the current DU and RU.
2. The method for dynamically adjusting wireless base station deployment based on GPU virtualization of claim 1, wherein: the S2, including:
s201, counting the number of terminals accessed by a base station, judging whether the current strategy is in a balanced mode or an energy-saving mode, and executing S202 if the strategy is in the balanced mode; if the mode is the energy-saving mode, executing S203;
s202, acquiring a preset threshold value of a balance mode, and generating a balance adjustment scheme when the number of terminals accessed by a base station is greater than the preset threshold value and the difference between the number of terminals accessed by the base station and the preset threshold value is greater than the difference between the number of terminals accessed by the base station and the preset threshold value;
s203, acquiring a preset threshold value of the energy-saving mode, and generating an energy-saving scheduling scheme when the number of terminals accessed by the base station is lower than the preset threshold value.
3. The method for dynamically adjusting wireless base station deployment based on GPU virtualization of claim 2, wherein: the S3, including:
s301, sorting the running data of the current DU;
s302, according to the scheduling scheme and the operation data of the DUs, dynamically adjusting the operation number of the DUs by adopting a scheduling algorithm and a container arrangement engine, wherein the method comprises the following steps:
if the scheduling scheme is an energy-saving scheduling scheme, scanning all base stations, performing terminal migration according to the number of terminals accessed by each base station and the upper limit of the number of access terminals, migrating the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode to the base station with the maximum number of the access terminals but not reaching the upper limit of the access terminals, and then closing the DU of the migrated base station terminal;
if the scheduling scheme is a balanced scheduling scheme, scanning all base stations, migrating the terminals of the base stations with the number of the accessed terminals being greater than the preset threshold value of the balanced mode and the difference between the number of the accessed terminals and the preset threshold value being greater than the difference between the number of the accessed terminals and the preset threshold value to the base stations which do not exceed the preset threshold value of the balanced mode according to the number of the accessed terminals of each base station and the upper limit of the number of the accessed terminals of each base station, increasing DU (Unit number) until the difference between the number of the accessed terminals of all the base stations is not greater than one, and allocating a virtual forward transmission network card to the DU when the number of the accessed terminals of all the base stations reaches the upper limit of the accessed terminals.
4. A system for dynamically adjusting wireless base station deployment based on GPU virtualization is characterized in that: the system comprises a base station dispatching desk, a DU dispatching desk and a forward transmission dispatching desk;
the GPU is virtualized to provide calculation capacity for the DU, the DU is operated in a container, and a forward transmission port of the DU is connected with the RU through a virtual forward transmission network card;
the base station dispatching desk is used for comparing preset thresholds according to the number of terminals accessed to the base station, the current strategy and the corresponding preset threshold, and dynamically generating a dispatching scheme; the strategy comprises the following steps: an equalization mode and a power-saving mode;
the DU dispatching desk is used for dynamically adjusting the running number of the DUs by adopting a dispatching algorithm and a container arrangement engine according to a dispatching scheme; wherein the dynamically adjusting according to the scheduling scheme generated in the balanced mode comprises: balancing the number of terminals accessed by each base station; according to the scheduling scheme generated in the energy-saving mode, the dynamic adjustment comprises the following steps: closing the DU with the number of terminals accessed by the base station less than a preset threshold;
and the forward transmission scheduling platform is used for dynamically adjusting the connection of the DU and the RU and enabling the connection to take effect in real time according to the scheduling scheme and the data of the current DU and RU.
5. The system for dynamically adjusting wireless base station deployment based on GPU virtualization of claim 4, wherein: the base station dispatching desk is used for dynamically generating a dispatching scheme according to the number of terminals accessed to the base station and a current strategy, and comprises the following steps:
counting the number of terminals accessed by the base station, judging whether the current strategy is in a balanced mode or an energy-saving mode, if so, acquiring a preset threshold value of the balanced mode, and when the number of the terminals accessed by the base station is greater than the preset threshold value and the difference between the number of the terminals accessed by the base station and the preset threshold value is greater than the difference between the preset threshold value and the preset threshold value, generating a balanced regulation scheme;
and if the terminal number is lower than the preset threshold, generating an energy-saving scheduling scheme.
6. The system for dynamically adjusting wireless base station deployment based on GPU virtualization of claim 5, wherein: the DU dispatching desk is used for dynamically adjusting the running number of DUs by adopting a dispatching algorithm and a container arrangement engine according to a dispatching scheme, and comprises the following steps:
the operation data of the current DU is arranged;
according to the scheduling scheme and the operation data of the DUs, a scheduling algorithm and a container arrangement engine are adopted to dynamically adjust the operation number of the DUs, and the method comprises the following steps:
if the scheduling scheme is an energy-saving scheduling scheme, scanning all base stations, performing terminal migration according to the number of terminals accessed by each base station and the upper limit of the number of access terminals, migrating the base station terminals with the number of the accessed terminals lower than the preset threshold value of the energy-saving mode to the base station with the maximum number of the access terminals but not reaching the upper limit of the access terminals, and then closing the DU of the migrated base station terminal;
if the scheduling scheme is an equilibrium scheduling scheme, scanning all base stations, migrating the terminals of the base stations with the number of the accessed terminals being greater than the preset threshold value of the equilibrium mode and the difference between the number of the accessed terminals and the preset threshold value being greater than the difference between the number of the accessed terminals and the preset threshold value to the base stations which do not exceed the preset threshold value of the equilibrium mode according to the number of the accessed terminals of each base station and the upper limit of the number of the accessed terminals, until the difference between the number of the accessed terminals of all the base stations is not greater than one, and increasing DU and allocating a virtual forward transmission network card to the DU when the number of the accessed terminals of all the base stations reaches the upper limit of the access terminals.
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