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• W2962804516 endingPage "4893" @default.
• W2962804516 startingPage "4879" @default.
• W2962804516 abstract "Managing interference in a network of macrocells underlaid with femtocells presents an important, yet challenging problem. A majority of spatial (frequency/time) reuse based approaches partition the users based on coloring the interference graph, which is shown to be suboptimal. Some spatial time reuse based approaches schedule the maximal independent sets (MISs) in a cyclic, (weighted) round-robin fashion, which is inefficient for delay-sensitive applications. Our proposed policies schedule the MISs in a non-cyclic fashion, which aim to optimize any given network performance criterion for delay-sensitive applications while fulfilling minimum throughput requirements of the users. Importantly, we do not take the interference graph as given as in existing works; we propose an optimal construction of the interference graph. We prove that under certain conditions, the proposed policy achieves the optimal network performance. For large networks, we propose a low-complexity algorithm for computing the proposed policy. We show that the policy computed achieves a constant competitive ratio (with respect to the optimal network performance), which is independent of the network size, under wide range of deployment scenarios. The policy can be implemented in a decentralized manner by the users. Compared to the existing policies, our proposed policies can achieve improvement of up to 130% in large-scale deployments." @default.
• W2962804516 created "2019-07-30" @default.
• W2962804516 creator A5035278270 @default.
• W2962804516 creator A5057973603 @default.
• W2962804516 creator A5091539085 @default.
• W2962804516 date "2015-09-01" @default.
• W2962804516 modified "2023-09-27" @default.
• W2962804516 title "Efficient Interference Management Policies for Femtocell Networks" @default.
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• W2962804516 doi "https://doi.org/10.1109/twc.2015.2428239" @default.
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