M
Mikael Skoglund
Researcher at Royal Institute of Technology
Publications - 735
Citations - 9876
Mikael Skoglund is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Communication channel & Decoding methods. The author has an hindex of 41, co-authored 706 publications receiving 8920 citations. Previous affiliations of Mikael Skoglund include Technische Universität München & Huawei.
Papers
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Combining beamforming and orthogonal space-time block coding
TL;DR: The case when the transmitter has partial, but not perfect, knowledge about the channel and how to improve a predetermined code so that this fact is taken into account is considered and a particularly efficient solution method is developed for the special case of independently fading channel coefficients.
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Nested Polar Codes for Wiretap and Relay Channels
TL;DR: It is shown that polar codes asymptotically achieve the whole capacity-equivocation region for the wiretap channel when the wiretapper's channel is degraded with respect to the main channel, and the weak secrecy notion is used.
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Multiple-User Cooperative Communications Based on Linear Network Coding
Ming Xiao,Mikael Skoglund +1 more
TL;DR: A new scheme for cooperative wireless networking based on linear network codes designed such that the BS is able to rebuild the user information from a minimum possible set of coded blocks conveyed through the dynamic network, and shows the existence of deterministic DNCs.
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Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems
TL;DR: An iterative algorithm based on the well-known Arnoldi iteration exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of theChannel, at the BS and MS, is proposed.
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On the Expected Rate of Slowly Fading Channels With Quantized Side Information
T.T. Kim,Mikael Skoglund +1 more
TL;DR: This work presents the necessary and sufficient conditions for single-layer coding to be optimal, irrespective of the number of code layers that the system can afford, and indicates that with as little as one bit of feedback information, the role of multilayer coding reduces significantly.