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This paper develops a new centralized clustering framework to mitigate strong intercell interference in a software-defined ultra-dense network, where the number of clusters can be adapting to network conditions. A directed interference graph is designed to capture the dominant interference resulting from user mobility. An asymptotically optimal Max-K-Cut method is proposed to partition the graph,...
The threat of rogue Access Points (APs) has attracted significant attentions from both industrial and academic researchers. However existing solutions focus on rogue AP detection, rather than localization. We propose a Rogue AP Detection and Localization (RAPDL) architecture, which integrates rogue AP detection and localization into one software system. A RAPDL demonstration system has been developed...
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