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Non-supervision clustering-based distributed cooperative spectrum sensing method for cognitive self-organizing network

An unsupervised clustering, self-organizing network technology, applied in the field of cognitive radio, can solve the problems of difficulty in distributed cooperation and high cost of cooperation in the whole network.

Active Publication Date: 2012-07-04
PLA UNIV OF SCI & TECH
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Problems solved by technology

[0010] The purpose of the present invention is to address the problems of difficult distributed cooperation and high cost of cooperation in the entire network in cognitive self-organizing networks, comprehensively apply the latest developments in unsupervised clustering theory and consensus theory, and realize robust, Reliable Distributed Cooperative Spectrum Sensing

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  • Non-supervision clustering-based distributed cooperative spectrum sensing method for cognitive self-organizing network
  • Non-supervision clustering-based distributed cooperative spectrum sensing method for cognitive self-organizing network
  • Non-supervision clustering-based distributed cooperative spectrum sensing method for cognitive self-organizing network

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Embodiment

[0127] Embodiment: A specific embodiment of the present invention is described as follows, and system simulation adopts Matlab software, and parameter setting does not affect generality. In the following embodiments, the basic reference object is to detect whether a certain channel in the VHF / UHF frequency band is idle, and mainly determine whether there is a PU signal on the channel through energy detection. It is worth emphasizing that the solution proposed by the invention is also suitable for detecting signals in other frequency bands.

[0128] N in this example f Take it as 100. The sensing bandwidth W is taken as 10 MHz, and the sensing time is 100 μs. The noise power spectral density is N 0 =-174dBm, the receiver noise figure is 11dB. The transmit power of the PU is set to 100mW. The path loss factor is 4, the standard deviation of shadow fading is 5.5dB, and the mean value of multipath fading is 1.

[0129] Such as image 3 As shown in (a), in this embodiment, w...

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Abstract

A non-supervision clustering-based distributed cooperative spectrum sensing method for a cognitive self-organizing network relates to the field of cognitive radio in wireless communication technology. Aiming at solving the problems of difficult distributed cooperation of the cognitive self-organizing network and large overhead of whole-network cooperation, the method adopts the latest achievements of a non-supervision clustering theory and a co-recognition theory to achieve fully-distributed, steady and reliable distributed cooperative spectrum sensing under the condition of simplifying the overhead of network sensing; and users with potential optimal detection performance spontaneously gather only via information interaction between neighbors, further the users carry out cooperation spectrum sensing by utilizing an average co-recognition protocol, and a sensing result is broadcast to the whole network users. The method does not require local users to receive apriori information of noise-signal ratio, and does not need any central controllers, thereby greatly lowering sensing overhead and acquiring detection performances similar to optimal soft combination solution.

Description

technical field [0001] The invention relates to the field of cognitive radio in wireless communication technology, specifically a new method for realizing distributed cooperative spectrum sensing in a cognitive self-organizing network by applying the latest progress of unsupervised clustering theory and consensus theory. Background technique [0002] At present, with the rapid growth of types of wireless communication services, the demand for wireless spectrum resources is also increasing exponentially, making the problem of "lack" of spectrum resources in future wireless communications increasingly prominent. Cognitive radio technology utilizes the idle frequency band of licensed users in the way of "opportunistic access" under the condition of ensuring the quality of service of licensed users, which greatly improves the efficiency of spectrum use. It is an effective method to solve the problem of "short spectrum" and has important Practical significance and broad applicati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/00H04W24/00H04B17/309
Inventor 吴启晖王金龙丁国如郑学强张玉明
Owner PLA UNIV OF SCI & TECH
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