H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 4,538 131 World Ranking 8236 National Ranking 64

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Telecommunications
  • Electrical engineering

Pål Frenger mostly deals with Computer network, Base station, Algorithm, Real-time computing and Telecommunications link. Pål Frenger studies Computer network, focusing on Random-access channel in particular. His Base station research is multidisciplinary, relying on both Node, Relation and Signal quality.

His biological study deals with issues like Mobile station, which deal with fields such as Channel. His Algorithm study integrates concerns from other disciplines, such as Electronic engineering and Fading. Pål Frenger has included themes like Throughput, Communication channel, Automatic repeat request, Hybrid automatic repeat request and Link adaptation in his Real-time computing study.

His most cited work include:

  • Network architecture, methods, and devices for a wireless communications network (374 citations)
  • Performance comparison of HARQ with Chase combining and incremental redundancy for HSDPA (204 citations)
  • Reducing Energy Consumption in LTE with Cell DTX (192 citations)

What are the main themes of his work throughout his whole career to date?

Pål Frenger focuses on Computer network, Wireless, Node, Base station and Telecommunications link. His research investigates the link between Computer network and topics such as Transmission that cross with problems in Distributed computing. His study looks at the relationship between Node and topics such as Telecommunications network, which overlap with Random access.

His work in Base station tackles topics such as Energy consumption which are related to areas like Efficient energy use. His work deals with themes such as MIMO, Channel state information, Communication channel, Real-time computing and Electronic engineering, which intersect with Telecommunications link. His Electronic engineering research includes elements of Algorithm, Electrical engineering, Antenna and Fading.

He most often published in these fields:

  • Computer network (57.09%)
  • Wireless (25.09%)
  • Node (22.18%)

What were the highlights of his more recent work (between 2016-2021)?

  • Computer network (57.09%)
  • Wireless (25.09%)
  • Transmission (13.45%)

In recent papers he was focusing on the following fields of study:

Pål Frenger mostly deals with Computer network, Wireless, Transmission, MIMO and Telecommunications link. His Computer network study frequently draws connections to other fields, such as Radio networks. Pål Frenger has researched Transmission in several fields, including Overhead, Distributed computing, Random access, Base station and Multiplexing.

The concepts of his MIMO study are interwoven with issues in Beamforming and Communications system. His Telecommunications link research incorporates themes from Pilot signal and Channel state information, Communication channel. His study in Communication channel is interdisciplinary in nature, drawing from both Real-time computing, Electronic engineering and Signal.

Between 2016 and 2021, his most popular works were:

  • Ubiquitous cell-free Massive MIMO communications (136 citations)
  • Scalability Aspects of Cell-Free Massive MIMO (41 citations)
  • Downlink Training in Cell-Free Massive MIMO: A Blessing in Disguise (15 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • Telecommunications
  • Electrical engineering

His main research concerns Computer network, Wireless, Transmission, MIMO and Telecommunications link. His studies deal with areas such as Radio networks and Synchronization signal as well as Computer network. In his research on the topic of Wireless, Subframe, Subcarrier, Random access and Ofdm transmission is strongly related with Multiplexing.

His work carried out in the field of Transmission brings together such families of science as Overhead, Distributed computing and Base station. His Base station research is under the purview of Telecommunications. His research integrates issues of Decoding methods and Channel state information, Communication channel in his study of Telecommunications link.

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.

Top Publications

Network architecture, methods, and devices for a wireless communications network

Stefan Parkvall;Janne Peisa;Gunnar Mildh;Robert Baldemair.
(2016)

374 Citations

Performance comparison of HARQ with Chase combining and incremental redundancy for HSDPA

P. Frenger;S. Parkvall;E. Dahlman.
vehicular technology conference (2001)

269 Citations

Reducing Energy Consumption in LTE with Cell DTX

Pal Frenger;Peter Moberg;Jens Malmodin;Ylva Jading.
vehicular technology conference (2011)

265 Citations

Method and apparatus for allocating a pilot signal adapted to the channel characteristics

Frenger Pal;Signell Svante;Nystrom Johan;Dahlman Erik.
(2004)

237 Citations

Convolutional codes with optimum distance spectrum

P. Frenger;P. Orten;T. Ottosson.
IEEE Communications Letters (1999)

231 Citations

Closed subscriber group cell handover

Gunnarsson Fredrik;Moe Johan;Frenger Pål.
(2008)

183 Citations

Code-spread CDMA using maximum free distance low-rate convolutional codes

P. Frenger;P. Orten;T. Ottosson.
international symposium on spread spectrum techniques and applications (1998)

179 Citations

Hybrid arq for packet data transmission

Dahlman Erik;Parkvall Stefan;Frenger Pal.
(2001)

156 Citations

The evolution of WCDMA towards higher speed downlink packet data access

S. Parkvall;E. Dahlman;P. Frenger;P. Beming.
vehicular technology conference (2001)

153 Citations

Inter-rat/frequency automatic neighbor relation list management

Amirijoo Mehdi;Zetterberg Kristina;Moe Johan;Kallin Harald.
(2008)

144 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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