Downlink Scheduling and Power Allocation in Cognitive Femtocell Networks

We consider resource assignment and power allocation problem in femtocells under channel estimation errors. Our formulation is to maximize the throughput of femtocell users that share spectrum resources with macrocell base station (MBS) while limiting interference between macrocell and femtocells. Using cognitive capabilities, femtocell basestations (FBS) can acquire the needed information about the neighboring MBS users to reduce cross-tier interference between FBS and MBS users. We analyze the distributions of signal to interference and noise ratio (SINR) of MBS users and signal to interference ratio (SIR) of FBS users. Based on the analytical results, we present resource assignment and power allocation solutions to maximize the mean sum rate subject to SINR and SIR outage constraints, along with simulation verifications.

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