2019 - IEEE Fellow For contributions to source-channel coding and wireless communications
Mikael Skoglund mainly investigates Communication channel, Algorithm, Decoding methods, Fading and Topology. His Communication channel research incorporates themes from Relay and Beamforming. His work carried out in the field of Beamforming brings together such families of science as Transmitter and Block code.
His Algorithm study combines topics in areas such as Code, Hybrid automatic repeat request, Precoding, Distributed algorithm and Coding. His studies in Decoding methods integrate themes in fields like Vector quantization, Electronic engineering, Theoretical computer science and Quantization. His Fading research includes themes of Power control, Multiplexing, Computer network and Linear network coding.
His primary scientific interests are in Communication channel, Algorithm, Decoding methods, Computer network and Topology. Mikael Skoglund has included themes like Transmitter and Electronic engineering in his Communication channel study. Mikael Skoglund has researched Algorithm in several fields, including Theoretical computer science and Signal processing.
He interconnects Encoder, Coding and Additive white Gaussian noise in the investigation of issues within Decoding methods. His Computer network study integrates concerns from other disciplines, such as Wireless and Wireless network. His Topology research incorporates elements of Relay channel, Relay, Transmission and Channel capacity.
His main research concerns Algorithm, Mathematical optimization, Optimization problem, Artificial neural network and Communication channel. His studies deal with areas such as Generalization error and Benchmark as well as Algorithm. His Mathematical optimization research is multidisciplinary, incorporating elements of Class, Mutual information, Markov chain and Fidelity.
His primary area of study in Communication channel is in the field of Channel code. Mikael Skoglund focuses mostly in the field of Secrecy, narrowing it down to matters related to Observer and, in some cases, Topology. His Topology study deals with MIMO intersecting with Upper and lower bounds.
Mikael Skoglund mostly deals with Mathematical optimization, Mutual information, Optimization problem, Algorithm and Upper and lower bounds. His research on Optimization problem also deals with topics like
His Transmitter research focuses on subjects like Channel state information, which are linked to Communications system. His study in Upper and lower bounds is interdisciplinary in nature, drawing from both Coding and Joint probability distribution. He integrates many fields in his works, including Block, Encoder and Communication channel.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Combining beamforming and orthogonal space-time block coding
G. Jongren;M. Skoglund;B. Ottersten.
IEEE Transactions on Information Theory (2002)
Multiple-User Cooperative Communications Based on Linear Network Coding
Ming Xiao;Mikael Skoglund.
IEEE Transactions on Communications (2010)
Nested Polar Codes for Wiretap and Relay Channels
M Andersson;V Rathi;R Thobaben;Jörg Kliewer.
IEEE Communications Letters (2010)
Design of network codes for multiple-user multiple-relay wireless networks
Ming Xiao;Mikael Skoglund.
international symposium on information theory (2009)
Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks
Ming Xiao;J. Kliewer;M. Skoglund.
IEEE Transactions on Communications (2012)
On the Expected Rate of Slowly Fading Channels With Quantized Side Information
T.T. Kim;M. Skoglund.
IEEE Transactions on Communications (2007)
On the capacity of a multiple-antenna communication link with channel side information
M. Skoglund;G. Jongren.
IEEE Journal on Selected Areas in Communications (2003)
Cognitive radio in a frequency-planned environment: some basic limits
E. Larsson;M. Skoglund.
global communications conference (2008)
Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT
T.T. Kim;M. Skoglund.
IEEE Transactions on Information Theory (2007)
Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems
Hadi Ghauch;Taejoon Kim;Mats Bengtsson;Mikael Skoglund.
IEEE Journal of Selected Topics in Signal Processing (2016)
Profile was last updated on December 6th, 2021.
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The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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