Spectrum allocation method based on particle swarm optimization in heterogeneous Internet of Things

Abstract

The invention provides a heterogeneous Internet of Things spectrum allocation method based on a particle swarm algorithm, which can overcome the defect that the specific frequency band characteristic of the heterogeneous Internet of Things, the distribution condition of a multi-layer network and available spectrum information obtained by spectrum sensing are not considered in the existing spectrum allocation method; through the introduction of the concept of Channel granularity, the spectrum allocation problem is modeled as a nonlinear constraint 0-1 integer programming problem by combining spectrum sensing information and comprehensively considering factors such as channel overlapping, Internet of Things overlapping and channel availability, and available spectrum resources are reasonably allocated through a particle swarm algorithm, so the problem of how to reasonably allocate the spectrum resources in a heterogeneous Internet of Things scene is solved; therefore, the purposes of maximizing the system benefit and avoiding co-frequency interference among the Internet of Things are achieved.

Description

technical field [0001] The present invention relates to a spectrum allocation method in the heterogeneous Internet of Things in the field of cognitive radio spectrum allocation, in particular to a spectrum allocation method based on a particle swarm algorithm. Background technique [0002] With the rapid development of the Internet of Things technology, the number of Internet of Things terminals has grown "explosively", and people's requirements for the transmission rate and service quality of terminal equipment are getting higher and higher. Limited wireless spectrum resources have become the bottleneck for the development of IoT technology. In addition, the Internet of Things is often composed of many different types of networks, and these networks may use different communication technologies and wireless spectrum resources, that is, heterogeneous Internet of Things. The emergence of the heterogeneous Internet of Things has brought about new problems in the allocation of ...

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Problems solved by technology

[0004] In order to solve the technical problems existing in the background technology, the present invention provides a heterogeneous Internet of Things spectrum allocation method based on the particle swarm optimization algorithm, which can overcome the existing spectrum allocation method that does not consider the unique frequency band characteristics of the heterogeneous Internet of Things, multiple The distribution of the layer network and the lack of available spectrum information obtained by spectrum sensing, by introducing the concept of channel granularity, combined with the information of spectrum sensing, comprehensively considering factors such as channel overlap, Internet of Things overlap, and channel availability, through the particle swarm algorithm, reasonably allocate The available spectrum resources solve the problem of how to allocate spectrum resources reasonably in the heterogeneous IoT scenario, so as to maximize system benefits and avoid co-frequency interference between IoT

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