Multi-point cooperative spectrum sensing method based on HMM model

A technology of spectrum sensing and multi-point cooperation, which is applied in the field of spectrum prediction, can solve the problems of fragmented data packet transmission, hidden terminals, and low accuracy, and achieve the effect of reducing misjudgment and interference to the main user and maintaining the communication environment

Inactive Publication Date: 2017-08-18
GUANGXI UNIV +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

In addition, due to the randomness and fragmentation of data packet transmission in traditional cognitive radio networks, frequent spectrum state transitions and the emergence of a large number of problems such as "h...

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  • Multi-point cooperative spectrum sensing method based on HMM model
  • Multi-point cooperative spectrum sensing method based on HMM model
  • Multi-point cooperative spectrum sensing method based on HMM model

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Embodiment Construction

[0045] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0046] It should be understood that terms such as "having", "comprising" and "including" as used herein do not entail the presence or addition of one or more other elements or combinations thereof.

[0047] figure 2 It shows the cognitive radio (hereinafter referred to as CR) network model. A CR model includes N primary user channels and M secondary users. The titles of CR terminals in different documents are different, including CR users, secondary users, non- Multiple ways such as authorized users are collectively referred to as secondary users in the present invention. Similarly, users who have the right to use a certain spectrum through purchase or authorization are called authorized users and primary users, and are collectively referred to as primary users in the presen...

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Abstract

The invention discloses a multi-point cooperative spectrum sensing method based on an HMM model. The method comprises the following steps: introducing a plurality of secondary users into a cognitive radio network, performing hidden Markov model modeling on the frequency spectrum of a master user, obtaining an observed value of each secondary user at each time slot according to spectrum sensing, training parameters of the hidden Markov model, and recursively calculating the prediction probability of the spectrum state of "busy" or "idle" of each secondary user at the next time slot; and counting the number of times that the cognitive spectrum state of all secondary users at the next time slot is "busy" or "idle", if the "busy" ratio is greater than a preset threshold, then judging that the spectrum state of the next time slot is "busy", otherwise "idle", outputting a spectrum state result, and returning the result to a spectrum sensing data fusion center. The multi-point cooperative spectrum sensing method based on the HMM model provided by the invention introduces the prediction functions of multi-node cooperative spectrum sensing and the hidden Markov model for the spectrum in the cognitive radio network, and performs the spectrum state prediction of the next time slot, thereby improving the reliability of spectrum prediction.

Description

technical field [0001] The invention relates to the field of spectrum prediction in cognitive radio networks. More specifically, the present invention relates to a CoMP spectrum sensing method based on an HMM prediction model in a cognitive radio network. Background technique [0002] With the advent of the information age, wireless spectrum has become an indispensable and precious resource in modern society. It is currently mainly assigned and authorized by the state. Generally, a frequency band can only be used independently by one wireless communication system. This static wireless spectrum management method simply and effectively avoids mutual interference between different wireless communication systems. However, there is an imbalance in the use of spectrum resources between these allocated licensed frequency bands and unlicensed frequency bands: on the one hand, licensed frequency bands occupy a large part of the entire spectrum resources, but many of them are idle; o...

Claims

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Application Information

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IPC IPC(8): H04B17/391H04B17/382H04B17/373H04W16/14
CPCH04B17/373H04B17/382H04B17/391H04W16/14
Inventor 覃团发杨文伟胡永乐沈湘平罗建涛盘小娜
Owner GUANGXI UNIV
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