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The identification of communities is an important step in understanding of the complex network. Comparative studies suggest that the development of accurate and efficient methods to infer the communities is still in its early stages. Label propagation algorithm (LPA) that detects communities by propagating labels among vertices, attracts a great deal of attention recently. However, the communities...
This paper gives an overview of the objectives and current research activities on interference exploitation in the EC funded research project ARTIST4G. Focus is on channel estimation and multi-cell joint processing. First field trial results for different cooperation schemes are provided.
Joint channel estimation and decoding using belief propagation on factor graphs requires the quantization of probability densities since continuous parameters are involved. We propose to replace these densities by standard messages where the channel estimate is accurately modeled as a Gaussian mixture over multipath channel. Upward messages include symbol extrinsic information and downward messages...
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