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

Abstract

The invention relates to the technical field of mobile communication, in particular to a method and system for dynamically adjusting wireless base station deployment based on GPU virtualization, and the method comprises the steps: S1, providing computing power for a DU through GPU virtualization, operating the DU in a container, and connecting a forward port of the DU with an RU through a virtual forward network adapter; S2, dynamically generating a scheduling scheme according to the number of terminals accessing the base station and the current strategy; S3, dynamically adjusting the operation number of the DUs by using a scheduling algorithm and a container arrangement engine according to the scheduling scheme; and S4, according to the scheduling scheme and the current data of the DU and the RU, dynamically adjusting the connection between the DU and the RU and taking effect in real time. According to the scheme, the method for dynamically adjusting the wireless base station deployment based on GPU virtualization is high in automation and adaptability, and efficient and intelligent energy saving of the wireless base station can be achieved.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular to a method and system for dynamically adjusting wireless base station deployment based on GPU virtualization. Background technique [0002] Different from LTE base stations, 5G redefines the wireless base station architecture. With the PDCP / RLC layer as the boundary, the baseband processing unit (BuildingBasebandUnite, BBU) in the wireless base station is divided into a centralized unit (Centralized Unit, CU) and a distributed unit (Distributed Unit). Unit, DU) two functional entities. The DU is connected to the radio unit (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 splitting option, and its operation is controlled by the CU. The CU is responsible for processing the central unit of high-level protocols such as RRC and PDCP. The split archit...

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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

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