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The goal of the authors' work is to limit in-band inter-cell interference in wireless communication cellular systems. Based on interference classification techniques, they propose a novel centralized inter-cell power allocation algorithm which computes the minimum power budget required in each cell to meet its local Quality of Service (QoS) constraints. Both analytical and numerical results applied to cellular networks show how their algorithm permits to notably reduce both power budget and harmful effects of in-band inter-cell interference, while meeting QoS constraints of users in each cell.
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