What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Computer network
- Algorithm
MIMO, Electronic engineering, Interference, Telecommunications link and Precoding are his primary areas of study.
His research in MIMO intersects with topics in Transmitter, Reduction and Antenna.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Spatial multiplexing, Multi-user MIMO, Transmission, Signal-to-noise ratio and Radio frequency.
His Interference research integrates issues from Wireless, Beamforming, Communication channel, Communications system and Radar.
Christos Masouros has included themes like Algorithm and Transmitter power output in his Telecommunications link study.
His Precoding research is multidisciplinary, relying on both Real-time computing, Phase-shift keying and Control theory.
His most cited work include:
- Exploiting Known Interference as Green Signal Power for Downlink Beamforming Optimization (182 citations)
- Low RF-Complexity Millimeter-Wave Beamspace-MIMO Systems by Beam Selection (172 citations)
- Dynamic linear precoding for the exploitation of known interference in MIMO broadcast systems (166 citations)
What are the main themes of his work throughout his whole career to date?
Christos Masouros mainly focuses on Precoding, Interference, Electronic engineering, MIMO and Telecommunications link.
His work investigates the relationship between Precoding and topics such as Transmitter that intersect with problems in Transmit diversity.
His Interference research incorporates elements of Wireless, Channel state information, Transmitter power output, Transmission and Algorithm.
The Electronic engineering study combines topics in areas such as Signal-to-noise ratio, Telecommunications, Radio frequency and Modulation.
His MIMO research is multidisciplinary, incorporating perspectives in Antenna, Efficient energy use, Control theory and Topology.
His Telecommunications link research integrates issues from Multi-user MIMO, Phase-shift keying, Signal-to-interference-plus-noise ratio, Base station and Optimization problem.
He most often published in these fields:
- Precoding (47.14%)
- Interference (47.14%)
- Electronic engineering (43.77%)
What were the highlights of his more recent work (between 2019-2021)?
- Precoding (47.14%)
- Interference (47.14%)
- Beamforming (22.56%)
In recent papers he was focusing on the following fields of study:
Christos Masouros focuses on Precoding, Interference, Beamforming, Radar and Algorithm.
His research integrates issues of Multiplexing and Computer network, Telecommunications link in his study of Precoding.
Christos Masouros interconnects Probability of error, Phase-shift keying and Mathematical optimization in the investigation of issues within Telecommunications link.
His Interference research is multidisciplinary, incorporating perspectives in Wireless, Channel state information, Communication channel, Physical layer and Base station.
His study on Beamforming is covered under Electronic engineering.
His Algorithm research incorporates themes from MIMO, Waveform and Link adaptation.
Between 2019 and 2021, his most popular works were:
- Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (90 citations)
- A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions (25 citations)
- Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing (12 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Algorithm
His main research concerns Precoding, Interference, Telecommunications link, Radar and MIMO.
Christos Masouros combines subjects such as Computer security, Eavesdropping and PHY with his study of Precoding.
His work deals with themes such as Wireless, Physical layer, Base station, Electronic engineering and Antenna, which intersect with Interference.
His Telecommunications link study integrates concerns from other disciplines, such as Phase-shift keying, Branch and bound, Quadratic programming, Multiplexing and Topology.
His biological study spans a wide range of topics, including Real-time computing, Communications system and Beamforming.
The MIMO study combines topics in areas such as Artificial neural network, Algorithm, Reduction and Detector.
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