Downlink wireless resource scheduling method and device supporting AI engine
A wireless resource scheduling and wireless resource technology, applied in the field of downlink wireless resource scheduling that supports AI engines, can solve problems such as waste of resources, large delays, etc., achieve smooth operation, reduce delays, and avoid the effects of transmission and confirmation processes
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no. 1 example
[0037] This embodiment provides a downlink wireless resource scheduling method for the open source OpenAirInterface (OAI) system that supports the AI engine for the problem of downlink wireless resource scheduling allocation, that is, it is configured under the OAI engine, and the DDQN algorithm is designed for training. The encapsulation AI model applicable to this engine can configure multiple UEs for resource allocation at most.
[0038] The execution flow of this method is as follows figure 1 shown, including the following steps:
[0039] S1, build the AI engine and establish the socket connection between the AI engine and the OAI system, configure the AI engine in the OAI operating environment, and use the AI engine to replace the polling algorithm and fairness adopted by the MAC layer LTE for resource scheduling in the OAI system The round-robin algorithm realizes the takeover of the downlink wireless resource scheduling process;
[0040] It should be noted t...
no. 2 example
[0087] This embodiment provides a downlink radio resource scheduling device supporting an AI engine, the device comprising:
[0088] The AI engine building module is used to build the AI engine, establish a socket connection between the AI engine and the OAI system, configure the AI engine into the OAI operating environment, and use the AI engine to replace the resource scheduling method used by the MAC layer LTE in the OAI system. polling algorithm and fair round-robin algorithm to realize the takeover of the downlink wireless resource scheduling process;
[0089] The scheduling information sending module is used to send the scheduling information to the AI engine through the Socket during the process of OAI scheduling resources;
[0090] The resource allocation and allocation result sending module is used to use the AI engine to complete resource allocation according to the scheduling information, and return the resource allocation result to OAI.
[0091] The ...
no. 3 example
[0093] This embodiment provides an electronic device, which includes a processor and a memory; at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor, so as to implement the method of the first embodiment.
[0094] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) and one or more memories, wherein at least one instruction is stored in the memory, so The above instruction is loaded by the processor and executes the above method.
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