Transmission and calculation joint optimization system and method for multi-base-station mobile edge computing system
An edge computing and joint optimization technology, applied in transmission systems, wireless communications, network traffic/resource management, etc., can solve the problem of processing delay and system energy consumption increase, insufficient utilization of channels and computing resources, and redundant transmission information. and other problems, to achieve the effect of reducing information redundancy, reducing processing and communication delay, and flexible computing organization
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Embodiment 1
[0077] This embodiment discloses a method for joint optimization of transmission and computing resources of a multi-base station mobile edge computing system in a smart grid scenario, the method is aimed at an edge computing system of multiple mobile power service terminal devices and multiple base stations in the smart grid scenario, Combined with information compression technology, the data information obtained by the mobile power service terminal equipment is locally compressed and then transmitted to the appropriate base station through wireless communication, and then further compressed in the edge computing server in the base station to facilitate subsequent information processing (storage). , analysis, upload, etc.). The joint optimization method specifically includes the following steps:
[0078] Step 1, configure the parameters of the intelligent power terminal equipment and the MEC server;
[0079] Among them, the parameters of the smart power terminal equipment and...
Embodiment 2
[0166] Multi-base station mobile edge computing system transmission computing joint optimization system, including:
[0167] Data acquisition module: used to acquire parameters of terminal equipment and MEC server;
[0168] Modeling module: It is used to establish an optimization problem model based on the parameters of terminal equipment and MEC server, obtain the initial communication and computing resource allocation scheme of the system, and calculate the total energy consumption of the initial system;
[0169] Iterative update module: It is used to perform the first iterative update through the block coordinate descent method according to the initial communication and computing resource allocation scheme to obtain a new communication and computing resource allocation scheme and a new total system energy consumption;
[0170] Judgment module: used to judge whether the relative error between the total energy consumption of the new system and the total energy consumption of ...
Embodiment 3
[0172] Embodiments of the present invention also provide a transmission and calculation joint optimization device for a multi-base station mobile edge computing system, including a processor and a storage medium;
[0173] the storage medium is used for storing instructions;
[0174] The processor is configured to operate in accordance with the instructions to perform the steps of the following methods:
[0175] Get the parameters of terminal equipment and MEC server;
[0176] Based on the parameters of the terminal equipment and the MEC server, an optimization problem model is established, the initial communication and computing resource allocation scheme of the system is obtained, and the total energy consumption of the initial system is calculated;
[0177] According to the initial communication and computing resource allocation scheme, the first iterative update is performed by the block coordinate descent method, and a new communication and computing resource allocation s...
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