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Sensing order optimization in wideband spectrum sensing

Authors: null Jiang Han; null Yunfei Ma; null Yitao Xu; null Zhiwen Wang;

Sensing order optimization in wideband spectrum sensing

Abstract

In the cognitive radio networks (CRNs), efficient spectrum sensing is a key enabling techniques for the effective spectrum exploration. However, Majority of the existing works on spectrum sensing is conducted the spectrum sensing serially in cognitive radio networks, which may bring about the sensing delay problem. In this paper, in order to make full use of the available channel resources and improve the spectrum exploitation, we propose a channel sensing order optimization for secondary users in the scenario that the CRN has a wide spectrum band with multiple channels. Firstly, we extend the preliminary screening mechanism to select the channel set for the secondary users to detect the spectrum hole with descending the product of the idle probability of the channels and channel throughput. Furthermore, the spectrum sensing order is decided according to the Markov prediction technology. Numerical results show that the proposed algorithm can improve the spectrum sensing efficiency and increase the system throughput.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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