Cognitive Femtocell Scheduling and Power Allocation Based on Channel Quality Report

Resource scheduling and power allocation for femtocell downlink when reusing regular macro-cell resources must ensure good signal quality at macrocell user equipment (MUE). This work considers the resource assignment and power allocation problem when femtocell can overhear the channel quality indicator (CQI) report from the MUE to its serving macro-base-station (MBS). Considering two different channel models, we study the distribution of signal to interference and noise ratio (SINR) at the MUE. Utilizing the available CQI report, we aim to maximize the throughput of femtocell users while limiting femtocell interference to the MUE receiver in terms of SINR and outage constraints. Our solution consists of two simple steps that first identify potentially valid channel assignment (scheduling) before solving it optimally using the well known Hungarian algorithm.