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Cooperative spectrum sensing method based on multi-user historical sensing data mining

A technology of collaborative spectrum sensing and sensing data, which is applied in the field of collaborative spectrum sensing based on multi-user historical sensing data mining, can solve equipment-level and network-level uncertainties, insufficient utilization of historical spectrum occupancy state transfer characteristics, inaccuracy, etc. problems, to ensure effectiveness and improve spectrum decision performance

Inactive Publication Date: 2017-07-21
TONGJI UNIV
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Problems solved by technology

[0004] At present, the challenges and problems faced by spectrum sensing are mainly caused by various uncertainties in the wireless communication process, including the randomness of channels and noise, uncertainties at the device level and network level, etc. Effectively eliminate these uncertainties, especially the use of historical spectrum occupancy state transition characteristics is not sufficient, thus resulting in inaccurate spectrum state judgment results

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  • Cooperative spectrum sensing method based on multi-user historical sensing data mining
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  • Cooperative spectrum sensing method based on multi-user historical sensing data mining

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Embodiment

[0041] The present invention is a collaborative spectrum sensing method based on multi-user historical sensing data mining, such as figure 1 As shown, the specific steps are as follows:

[0042] Step 1. Rejection process

[0043] Step (11), establish the received signal data set y at each moment t '={y 1t ,y 2t ,...,y Pt}, where y pt is the perceived signal data of user p at time t, y t ' is the perception data set of all users at time t, P is the number of user receivers

[0044] Step (12), set the rejection threshold θ(θ∈[0,1]), for a received signal y pt , if its likelihood probability p(y pt|H k ) are less than θ, then the signal will be placed in the rejection domain middle. The rejection threshold θ can be set according to the specific needs of different systems.

[0045] Step (13), compare each sensing signal with the rejection domain, discard it if it belongs to the rejection domain, otherwise keep the sensing data, and finally create a new received signal...

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Abstract

The invention relates to a cooperative spectrum sensing method based on multi-user historical sensing data mining, used for judging whether a target channel is occupied. The method comprises the steps of 1, screening historical sensing data in each SU node via a rejection process, thus acquiring effective historical sensing data; 2, performing iterative solution by using a viscous stratified Dirichlet process-Hidden Markov model to acquire an implicit spectrum state of the sensing data and a corresponding Gaussian distribution parameter; and 3, judging the spectrum state of the sensing data. Compared with the prior art, the method provided by the invention has the advantage of accurate and rapid judgment.

Description

technical field [0001] The present invention relates to a cognitive radio technology based on cooperative spectrum sensing, in particular to a cooperative spectrum sensing method based on multi-user historical sensing data mining. Background technique [0002] In today's wireless communications, there are many problems of insufficient spectrum resources and insufficient utilization. To solve these problems, Dr. Joseph Mitola proposed cognitive radio technology (CR). Cognitive radio is defined as an intelligent wireless communication technology based on software defined radio (SDR). It can continuously perceive the surrounding radio environment, analyze it, make decisions, dynamically select idle frequencies for communication, and then use Radio Knowledge Representation Language (RKRL) to adaptively modify the communication parameters inside the device. [0003] A cognitive radio network consists of two types of users, primary users (PU) and secondary users (SU) who have co...

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Application Information

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IPC IPC(8): H04B17/382
CPCH04B17/382
Inventor 黄新林高煜唐小伟陆奇翡袁迎春张昕董航
Owner TONGJI UNIV
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