Policies for Channel Allocation in Cognitive Radio Networks using Game Theory
Policies for Channel Allocation in Cognitive Radio Networks using Game Theory
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2016
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eng
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application/pdf
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13 pages
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ECTI Transactions on Electrical Engineering, Electronics, and CommunicationsVol 14, No 1 (2016): Regular Issue. Special Issue: ECTI-CON 2015, Page, 36-48
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Abstract
Cognitive radio networks evolve according to the
actions of sel sh users who act independently. The
eventual state reached in most of the cases by such
a system is a Nash Equilibrium (NE). Multiple NE
with di erent qualities may exist. In this work
we consider the problem of allocating channels to
multiple transceivers. Based on policies derived from
various network metrics we develop a way to initialize
the allocation and choose the appropriate channel
for each user to push the system towards a higher
normalized cumulative total throughput of the CRN.
A novel equation to allocate channels is also derived.
The improvement is con rmed by our simulation
results.