What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Computer network
- Statistics
His primary areas of study are Electronic engineering, Wireless, Fading, Communication channel and Computer network.
His studies deal with areas such as Frequency-division multiple access, Diversity scheme, Orthogonal frequency-division multiplexing, Relay and Throughput as well as Electronic engineering.
As part of one scientific family, Tommy Svensson deals mainly with the area of Wireless, narrowing it down to issues related to the Cellular network, and often Key.
His Fading research incorporates themes from Transmitter, Algorithm and Hybrid automatic repeat request.
His research integrates issues of MIMO, Distributed computing and Interference in his study of Computer network.
His MIMO research is multidisciplinary, incorporating perspectives in Kalman filter, Real-time computing and Telecommunications link.
His most cited work include:
- The role of small cells, coordinated multipoint, and massive MIMO in 5G (547 citations)
- Massive machine-type communications in 5g: physical and MAC-layer solutions (391 citations)
- Location-Aware Communications for 5G Networks: How location information can improve scalability, latency, and robustness of 5G (270 citations)
What are the main themes of his work throughout his whole career to date?
Tommy Svensson mainly investigates Electronic engineering, Computer network, Communication channel, Throughput and Base station.
His Electronic engineering study incorporates themes from Antenna, Amplifier, Orthogonal frequency-division multiplexing and Transmitter.
He interconnects Wireless, Wireless network, Relay and Transmission in the investigation of issues within Computer network.
Tommy Svensson has researched Communication channel in several fields, including Algorithm and Control theory.
His Base station research integrates issues from Quality of service, Telecommunications link, Radiation pattern and Precoding.
His Telecommunications link study integrates concerns from other disciplines, such as MIMO, Scheduling and Real-time computing.
He most often published in these fields:
- Electronic engineering (29.38%)
- Computer network (26.55%)
- Communication channel (20.90%)
What were the highlights of his more recent work (between 2017-2021)?
- Electronic engineering (29.38%)
- Communication channel (20.90%)
- Antenna (7.06%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electronic engineering, Communication channel, Antenna, Computer network and Base station.
His biological study deals with issues like Wireless network, which deal with fields such as Beamforming.
The concepts of his Communication channel study are interwoven with issues in Upper and lower bounds, Decoding methods, Throughput and Plane wave.
His biological study spans a wide range of topics, including Spatial correlation, Channel state information, Marcum Q-function and Hybrid automatic repeat request.
His Computer network study deals with Wireless intersecting with Survivability.
Tommy Svensson works mostly in the field of MIMO, limiting it down to topics relating to Telecommunications link and, in certain cases, Multi-user, MIMO-OFDM and Orthogonal frequency-division multiplexing.
Between 2017 and 2021, his most popular works were:
- White paper on broadband connectivity in 6G (63 citations)
- Fast HARQ Over Finite Blocklength Codes: A Technique for Low-Latency Reliable Communication (32 citations)
- Fifth-Generation Technologies for the Connected Car: Capable Systems for Vehicle-to-Anything Communications (27 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Statistics
Tommy Svensson spends much of his time researching Antenna, Electronic engineering, Communication channel, Beamforming and Computer network.
He combines subjects such as Extremely high frequency, Throughput and Base station with his study of Electronic engineering.
His Communication channel study combines topics in areas such as Algorithm and Topology.
His Beamforming study combines topics from a wide range of disciplines, such as Transmitter, Wireless network, Key and Multicast.
His research in Computer network intersects with topics in Wireless and Component.
His work deals with themes such as Scheduling and Efficient energy use, which intersect with Wireless.
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.
