Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties
In this paper, novel enhanced Cognitive Radio Network (CRN) is considered by using power control where secondary users (SUs) are allowed to use wireless resources of the primary users (PUs) when PUs are deactivated, but also allow SUs to coexist with PUs while PUs are activated by managing interference caused from SUs to PUs. Therefore, a novel adaptive optimal distributed power allocation (AODPA) scheme is proposed by incorporating the effect of channel uncertainties for enhanced CRN in the presence of wireless channel uncertainties. In order to mitigate the attenuation of SIR’s due to channel uncertainties the proposed novel AODPA allows the SIR’s of both PUs’ and SUs’ to converge to a desired target SIR while minimizing the energy consumption. Simulation results illustrate that this novel AODPA scheme can converge much faster and cost less energy than others by adapting to the channel variations optimally.
KeywordsAdaptive optimal distributed power allocation (AODPA) Signal-to-interference ratio (SIR) Channel uncertainties Cognitive radio network
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