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Dense cellular networks (DenseNets) are fast becoming a reality with the large scale deployment of base stations aimed at meeting the explosive data traffic demand. In legacy systems, however, this comes at the cost of higher network interference and energy consumption. In order to support network densification in a sustainable manner, the system behavior should be made “load-proportional” thus allowing...
We present an analytical model for the design and analysis of dense cellular networks (DenseNets) where load-awareness is explicitly incorporated in the system performance. New bounded expressions of aggregate interference and average rate are developed considering spatially-correlated heterogeneous sources. Subsequently, an optimization problem for pinpointing the optimal network density which minimizes...
We develop a unified framework for the performance analysis of arbitrary-loaded downlink heterogeneous networks (HetNets) in which interfering sources are inherently spatially-correlated. Considering a randomly-deployed multi-tier cellular network comprised of a diverse set of large-and small-cells, we incorporate the notion of load-awareness and spatial-correlations in characterizing the activities...
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