Development of a Channel Assignment Technique for Interference Mitigation in Cognitive Radio
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Date
2019-01-01
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MPUT, UDAIPUR
Abstract
Cognitive radio network (CRN) concept is turning out as a prominent approach used
in wireless communication network for increasing spectrum efficiency by
opportunistically and mutually sharing the spectrum of contemporary networks. The
fundamental issues pertaining to implementation of CRN in wireless communication
are the presence of Adjacent channel interference (ACI) among Cognitive Radio (CR)
users and Co-channel interference (CCI), particularly, the interference to primary
users, severely degrades the performance of the system and also adversely affects the
system capacity. In this thesis, an interference mitigation technique is proposed for
interference minimization among secondary nodes. In the problem formulation, the
existing greedy is modified by introducing interference index between a pair of
secondary nodes. The interference index is key to minimize the interference and to
maximize the system capacity in terms of throughput. The secondary node transmit
power is kept below 30 dBm i.e. the primary user transmit power, to maintain its
dignity. The simulation results reveal significant improvement in the capacity of CRN
and reduction in ACI and CCI as compared to the existing greedy algorithm using
power allocation and channel assignment for CR users. Further, a tradeoff analysis
between interference index and channel leakage ratio is presented with an interference
bound of 10 dBm. The modified interference mitigation technique may be very useful
for different wireless standards using CRNs
Description
Development of a Channel Assignment Technique for Interference Mitigation in Cognitive Radio
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Citation
Ranjan R. and Agrawal N.