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WO-2026094092-A1 - INFORMATION PROCESSING DEVICE AND CONTROL METHOD

WO2026094092A1WO 2026094092 A1WO2026094092 A1WO 2026094092A1WO-2026094092-A1

Abstract

An information processing device (10) controls a plurality of servers in a wireless communication system in which a plurality of cells are arranged and mutually different servers (SA, SB, SC) respectively handle the processing of cells that are adjacent to one another, wherein the information processing device executes, with regard to GPUs of each of the plurality of servers, sensing processing to sense an increase in the GPU usage rate as well as update processing to update, with respect to a server in which an increase in the GPU usage rate was sensed, a handover threshold value applied to the cell for which the relevant server handles the processing.

Inventors

  • KAWAI, YUTO

Assignees

  • ソフトバンク株式会社

Dates

Publication Date
20260507
Application Date
20241028

Claims (5)

  1. In a wireless communication system in which multiple cells are arranged and adjacent cells are handled by different servers, an information processing device controls multiple servers, The aforementioned information processing device is A detection process for detecting an increase in GPU usage for each of the multiple servers, An information processing device characterized by performing an update process to update the handover threshold applied to the cell for which the server is responsible for processing, for servers in which an increase in GPU utilization has been detected in the aforementioned detection process.
  2. The information processing apparatus according to claim 1, wherein the handover threshold updated in the update process is updated to a value higher than the value before the update.
  3. In the detection process described above, a server in which an increase in GPU usage is detected is referred to as an "increased server," and an adjacent server responsible for processing cells adjacent to the cell in which the increased server is responsible for processing is referred to as an "adjacent server." The information processing device according to claim 1, wherein when the information processing device performs the update process, it updates the handover threshold applied to the cell for which the adjacent server is responsible for processing.
  4. When the handover threshold applied to the cell processed by the aforementioned increased server is referred to as the first handover threshold, and the handover threshold applied to the cell processed by the aforementioned adjacent server is referred to as the second handover threshold, The information processing apparatus according to claim 3, wherein the first handover threshold is updated to a value higher than the value before the update, and the second handover threshold is updated to a value lower than the value before the update.
  5. In a wireless communication system in which multiple cells are arranged and adjacent cells are handled by different servers, a control method for an information processing device that controls multiple servers, The control method described above is The aforementioned information processing device performs a detection process to detect an increase in GPU usage for each of the multiple servers' GPUs (Graphics Processing Units), A control method for an information processing device, which includes an update process that causes the information processing device to update the handover threshold applied to the cell for which the server is responsible for processing when an increase in GPU usage is detected in the detection process.

Description

Information processing device and control method This disclosure relates to an information processing device and a control method. Patent Document 1 describes a method for adjusting the transmission power of a base station using a scheduler in a wireless communication system. According to the wireless communication system of Patent Document 1, real-time adjustment of transmission power is possible, enabling improved throughput performance for user terminals and load balancing of the network. This is a schematic diagram showing the general configuration of a wireless communication system according to one embodiment of the present disclosure.This block diagram shows the schematic configuration of the data center shown in Figure 1.Figure 2 is a flowchart showing the processing steps of the control method executed by the information processing device shown in Figure 2. One embodiment of this disclosure will be described in detail below. (Summary of this disclosure) In traditional RAN (Radio Access Network) systems, hardware and software are tightly integrated and designed specifically for RAN. Such systems are designed to handle full load (maximum load conditions). However, 5G (5th Generation) networks feature virtualization of hardware resources and network isolation, enabling more flexible resource management. In a 5G network, it's unlikely that the PRB (Physical Resource Block) utilization rate of each cell will always be 100%. Especially under conditions where the load is assumed to be low, it's desirable to efficiently utilize server resources by running more cells on a single server. However, increasing the number of cells running on a single server could lead to a shortage of server computing resources, particularly GPUs (Graphics Processing Units) responsible for L1 (physical layer) processing, if PRB utilization increases more than expected. Under these circumstances, a method is needed to dynamically adjust the load between cells while maintaining the overall resource efficiency of the server. This disclosure optimizes resource load by handing over User Equipment (UEs) located at the cell edge to an adjacent cell handled by another server when the server's GPU utilization becomes high. Here, "cell edge" refers to a state where a UE is located at the edge of the radio wave range of the cell to which it is connected. This disclosure describes a system that distributes the load of cell processing across servers, ensuring that adjacent cells are processed by different servers. When a server's GPU utilization exceeds a certain threshold, a handover is performed to the UE located at the cell edge, transferring the processing to an adjacent cell. This frees up resources from servers experiencing heavy processing loads, improving the overall resource efficiency of the system. Furthermore, when performing a handover, a smooth transition is achieved by adjusting the handover threshold of at least one of the cells to which the UE is currently connected and the adjacent cell to which the handover will occur. This handover threshold refers to the signal strength and communication quality thresholds that serve as the basis for the UE to hand over to another cell. According to this disclosure, when a server's GPU utilization becomes high, dynamic load balancing can be performed between cells, improving the efficiency of server resource utilization. This enables efficient cell processing across multiple servers in a 5G network, resulting in improved communication service quality and reduced resource costs. Furthermore, by configuring each server to avoid processing adjacent cells, the load across the entire system is evenly distributed, preventing resource shortages. (Embodiment) As shown in Figure 1, the wireless communication system 1 consists of multiple cells C1, C2, ..., C10, and each of these cells is operated and managed by a data center (DC). In the wireless communication system 1, each cell is not operated independently but is managed by the data center (DC), which optimizes resources and distributes the load. The data center (DC) also plays a role in controlling handover between cells based on the traffic and usage status of each cell. Cell C1 is equipped with a Radio Unit (RU1), and cell C1 is formed by the emission of radio waves from RU1. Similarly, each cell from C2 to C10 is equipped with RU2 to RU10, and these RUs emit radio waves, forming each cell from C2 to C10. The RUs are responsible for transmitting and receiving wireless signals and work in conjunction with the data center (DC) to ensure communication with the User Equipment (UE) within each cell. This embodiment does not limit the number of cells to 10; 10 is merely one example. The number of cells can be changed according to the configuration of the wireless communication system 1 and its communication needs. Furthermore, while Figure 1 shows the data center (DC) located in the center of the area covered by the ten cells, this arrangement is