Heterogeneous network combined computation unloading and resource allocation method

Abstract

The invention relates to a heterogeneous network combined computation unloading and resource allocation method, and belongs to the technical field of wireless communications. The method comprises thefollowing steps: step S1, modeling user computing task characteristics; step S2, modeling a user computing unloading decision variable and a qualification thereof; step S3, modeling user computing task local processing energy consumption and completion time; step S4, modeling user computing task unloading completion time; step S5, modeling user computing task unloading completion energy consumption; step S6, modeling system total energy consumption; step S7, modeling user computing task completion time and a qualification thereof; and step S8, determining a computation unloading and resource allocation optimization strategy based on system total energy consumption minimization. According to the heterogeneous network combined computation unloading and resource allocation method provided bythe invention, wireless resources can be reasonably utilized under the condition of satisfying the maximum delay tolerance of a user computing task, and the computation unloading and resource allocation strategy is optimally designed, so that the system total energy consumption minimization is realized.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, relates to the technical field of heterogeneous network resource allocation, and in particular to a heterogeneous network joint computing unloading and resource allocation method. Background technique [0002] With the rapid development of computer and communication technology, user business needs are increasingly diversified, and the next-generation communication network will develop towards the trend of heterogeneity and gradually move towards interconnection. In order to meet market demands, various types of Radio Access Technologies (RATs) have emerged, ranging from cellular networks to local area networks, from public networks to professional networks, from single-service service networks to multimedia networks, each with different Features and service offering capabilities. Since a single wireless access technology can no longer fully meet the business needs of different use...

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Problems solved by technology

[0005] The above studies determine the optimal resource allocation strategy for the corresponding performance function by modeling a specific network performance function based on optimization theory, but the existing research rarely considers the diversity of heterogeneous networks, multi-access characteristics, and differences in network resource status. and other problems, it is difficult to achieve network comprehensive performance optimization

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