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Motivated by the desire for efficient spectral utilization, the authors present a novel algorithm for power allocation for sum rate maximization in cognitive radio context while preserving a guaranteed QoS for the primary network. To this effect, they propose a distributed cognitive radio coordination that maximizes the Cognitive Radio Network (CRN) sum rate while minimizing the interference to the Primary Users (PU). The goal is to realize spectrum sharing by optimally allocating Secondary Users (SU) transmit powers in order to maximize the total SU throughput under interference and noise impairments. Both theoretical and simulation results under realistic wireless network settings are shown to exhibit interesting features in term of CRN deployment while maintaining QoS for the primary system.
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