What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer network
His primary scientific interests are in Algorithm, Communication channel, Signal processing, Electronic engineering and Estimation theory.
His research integrates issues of Direction of arrival, Signal subspace, Mathematical optimization and Asymptotic distribution in his study of Algorithm.
His Communication channel research is multidisciplinary, incorporating perspectives in Transmitter and Beamforming.
His research in Signal processing intersects with topics in Radar, Waveform, Radio receiver and Sensor fusion.
As part of his studies on Electronic engineering, Bjorn Ottersten often connects relevant areas like Communications system.
His Estimation theory research includes elements of Subspace topology, Estimator, Sensor array and Array processing.
His most cited work include:
- On the complexity of sphere decoding in digital communications (683 citations)
- Sensor array processing based on subspace fitting (616 citations)
- Spatial division multiple access wireless communication systems (563 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Electronic engineering, Algorithm, Precoding, Communication channel and Signal processing.
His work deals with themes such as Wireless, Telecommunications, Antenna, MIMO and Interference, which intersect with Electronic engineering.
His studies deal with areas such as Subspace topology, Estimator, Mathematical optimization and Sensor array as well as Algorithm.
In his study, Base station is strongly linked to Telecommunications link, which falls under the umbrella field of Precoding.
His Communication channel research includes themes of Transmitter, Transmission, Beamforming and Communications system.
His Signal processing study which covers Artificial intelligence that intersects with Machine learning.
He most often published in these fields:
- Electronic engineering (26.40%)
- Algorithm (23.46%)
- Precoding (20.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Precoding (20.15%)
- Wireless (11.54%)
- Mathematical optimization (14.85%)
In recent papers he was focusing on the following fields of study:
Bjorn Ottersten focuses on Precoding, Wireless, Mathematical optimization, MIMO and Algorithm.
Bjorn Ottersten has included themes like Electronic engineering, Telecommunications link and Interference in his Precoding study.
His Wireless study also includes fields such as
- Computer network and related Relay,
- Transmitter power output and related Real-time computing and Base station.
As part of the same scientific family, Bjorn Ottersten usually focuses on Mathematical optimization, concentrating on Scheduling and intersecting with Telecommunications network.
His work carried out in the field of MIMO brings together such families of science as Transmitter, Spectral efficiency and Power control.
His studies in Communication channel integrate themes in fields like Beamforming and Topology.
Between 2018 and 2021, his most popular works were:
- Toward Millimeter-Wave Joint Radar Communications: A signal processing perspective (82 citations)
- A mmWave Automotive Joint Radar-Communications System (58 citations)
- A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Computer network
His main research concerns Precoding, Mathematical optimization, Optimization problem, Wireless and Electronic engineering.
The concepts of his Precoding study are interwoven with issues in Symbol, Interference, Transmitter, Modulation and Telecommunications link.
As a part of the same scientific study, Bjorn Ottersten usually deals with the Mathematical optimization, concentrating on Scheduling and frequently concerns with Base station, Focus, Bandwidth assignment and Radio resource management.
His study with Optimization problem involves better knowledge in Algorithm.
His Electronic engineering research is multidisciplinary, relying on both MIMO, Waveform, Orthogonal frequency-division multiplexing, Signal processing and Radar.
His MIMO research is included under the broader classification of Communication channel.
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