A Distributed Decision Making Method inCognitive Radio Networks for SpectrumManagement
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Graphical Abstract
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Abstract
In order to make full utilization of the
scarce spectrum resources for Cognitive radio networks,
secondary users are expected to exploit the available spec-
trum of primary users. However, when there are several
spectrum bands available, how to select an appropriate one
for the secondary user according to the spectrum quality
and the QoS requirements of di®erent kinds of applications
is a new challenge. In this paper, we propose a new Au-
tomatic distributed spectrum decision (ADSD) method to
solve this problem. ADSD considers multiple spectrum
characterization parameters, in particular, the primary
users' arrival probability, to estimate the quality of the
available spectrum bands. A weight auto-generation mech-
anism is included to automatically determine the weights
of di®erent parameters, thus avoiding the di±culty and ir-
rationality when relying on the users to specify the weights
directly. In addition, in conjunction with the recon¯g-
uration mechanism, ADSD can reduce the rate of spec-
trum hando®s by recon¯guring the transmission parame-
ters rather than making a new decision for the existing
transmission. Simulation results show that without any
users' interference, ADSD can automatically select the ap-
propriate spectrum for transmission and signi¯cantly im-
prove the Cognitive Radio network performance in terms
of throughput and the spectrum hando® rate.
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