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A method and system for dynamically adjusting wireless base station deployment based on GPU virtualization

A dynamic adjustment, wireless base station technology, applied in the field of mobile communication, can solve the problems of low number of people connected to the base station, waste of energy, and the inability of terminals to access the wireless base station.

Active Publication Date: 2022-06-17
航天新通科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] As the daily network is used more and more frequently, more and more wireless base stations are built, so the energy consumption of wireless base stations is becoming more and more serious. The most power-consuming part of the base station is where the BBU is located, especially the DU. Some of them consume a lot of power, but some base stations have a small number of connected people, or even no one connects. Keeping them on will cause energy waste and increase the cost of the full coverage network. Therefore, wireless base stations need to adopt some energy-saving methods to save energy.
[0004] At present, the energy-saving method adopted by the wireless base station is mainly the remote control method. Through background data analysis, the wireless base station with few access terminals is found, and then the wireless base station is remotely shut down manually. However, there are some problems in this energy-saving method. One is that automation cannot be realized, and it is necessary to manually shut down the corresponding wireless base station according to the analysis results, which is not conducive to operation and maintenance. The sudden shutdown of the wireless base station will also cause the originally connected terminal to be unable to access and communicate; the other is manual operation There is a problem of not being timely. After the wireless base station is turned off remotely, the wireless base station may not be turned on in time, so that the terminal cannot access the wireless base station, resulting in communication failure

Method used

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  • A method and system for dynamically adjusting wireless base station deployment based on GPU virtualization
  • A method and system for dynamically adjusting wireless base station deployment based on GPU virtualization

Examples

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Embodiment 1

[0054] The example is basically as attached figure 1 Shown: a method for dynamically adjusting wireless base station deployment based on GPU virtualization, including the following:

[0055] S1. Use GPU virtualization to provide computing power for DU, run DU in a container, and connect the front-haul port of DU to RU through a virtual front-haul network card; containers can be but not limited to Docker containers, DU runs in Docker containers, DU's The fronthaul ports are all implemented by virtual NICs, so the RU is actually connected to the physical NIC where the Docker server is located. Multiple virtual fronthaul NICs are virtualized inside the physical NIC, so that the fronthaul ports of the DU are connected to the RU through the virtual fronthaul NICs. DU needs a dedicated chip to provide it with computing power. In the prior art, FPGA is generally used to provide computing power for DU. In this solution, GPU is used to replace FPGA to provide computing power for DU, an...

Embodiment 2

[0068] The example is basically as attached figure 2 Shown: a system for dynamically adjusting wireless base station deployment based on GPU virtualization, including a base station dispatcher, a DU dispatcher and a fronthaul dispatcher;

[0069]GPU virtualization is used to provide computing power for DU, run DU in a container, and the fronthaul port of DU is connected to RU through a virtual fronthaul network card; the container can be used but not limited to Docker container, DU runs in Docker container, and the fronthaul port of DU All are implemented by the virtual network card, so the RU is actually connected to the physical network card where the Docker server is located. Multiple virtual fronthaul network cards are virtualized inside the physical network card, so that the fronthaul port of the DU is connected to the RU through the virtual fronthaul network card. DU needs a dedicated chip to provide it with computing power. In the prior art, FPGA is generally used to p...

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Abstract

The present invention relates to the technical field of mobile communication, specifically a method and system for dynamically adjusting wireless base station deployment based on GPU virtualization. The fronthaul port is connected to the RU through the virtual fronthaul network card; S2. Dynamically generate a scheduling plan according to the number of terminals connected to the base station and the current strategy; S3. According to the scheduling plan, use a scheduling algorithm and a container orchestration engine to dynamically adjust the number of running DUs. S4. According to the scheduling plan and the current data of DU and RU, dynamically adjust the connection of DU and RU and take effect in real time. This solution provides a highly automatic and adaptive method for dynamically adjusting the deployment of wireless base stations based on GPU virtualization, so as to achieve efficient and intelligent energy saving of wireless base stations.

Description

technical field [0001] The present invention relates to the technical field of mobile communications, in particular to a method and system for dynamically adjusting deployment of wireless base stations based on GPU virtualization. Background technique [0002] Different from the LTE base station, 5G redefines the wireless base station architecture. Taking the PDCP / RLC layer as the boundary, the baseband processing unit (Building Baseband Unite, BBU) in the wireless base station is divided into a centralized unit (Centralized Unit, CU) and a distributed unit (Distribute unit). Unit, DU) are two functional entities. The DU is connected to the Radio Unit (RU), which mainly handles RLC, MAC and some PHY layer functions, and the logical node includes a subset of eNB / gNB functions, depending on the function split option, whose operation is controlled by the CU. CU is responsible for processing the central unit of high-level protocols such as RRC and PDCP. The split architecture ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W28/08H04W36/08H04W36/22H04W52/02G06F9/455G06F9/48
CPCH04W36/08H04W36/22H04W52/0206G06F9/45558G06F9/4881G06F2009/45595H04W28/0861Y02D30/70Y02D10/00
Inventor 石忠波王伟鲍清华孙建华
Owner 航天新通科技有限公司