Communication Systems (KS)

The Division of Communication Systems conducts research and education in communications engineering, statistical signal processing and network science.

Photo credit: Karl ÖfverströmA principal focus is on enabling technologies for 5G wireless networks and beyond, with Massive MIMO as the most outstanding, scalable technology component. Specific questions of concern include the design of coding, signal processing, and resource allocation algorithms, as well as implementation aspects and network topologies. Security and robustness of communication links and networks are additional topics of concern.

The division also leads research in positioning technology, with focus on cooperative localization algorithms, positioning in difficult radio environments, and positioning using antenna arrays.

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Faculty & Staff at Communication Systems

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Resource Allocation and energy efficiency

Resource Allocation and Energy Efficiency in Wireless Networks

The demand for wireless data traffic increases exponentially. To keep up with the growth, an ambitious but necessary goal for the next generation wireless networks is to deliver 1000x higher data rates per km2 than today.
MIMO 5G

Massive MIMO - The scalable 5G technology

Massive MIMO is a leading 5G technology candidate, that aims at delivering uniformly good service to wireless terminals in high-mobility environments.
cooperative localization

Cooperative localization

A number of applications in wireless sensor networks (WSN) require sensor nodes to obtain their absolute or relative positions.
Energy-Efficient Digital Signal Processing

Energy-Efficient Digital Signal Processing

Energy efficiency in signal processing hardware is vital for several reasons, in particular to reduce the environmental impact, to increase stand-by times, to make batteries smaller and lighter, and to simplify the cooling of circuits.
Distributed jamming of Massive MIMO

Physical layer security in massive MIMO

The inherent openness of the wireless channel makes wireless communication between two legitimate parties susceptible to attacks from a third party, the adversary. These attacks can be divided into two classes: eavesdropping and jamming.
Hardware techniques for Cognitive Radio

Hardware techniques for Cognitive Radio

The Cognitive Radio (CR) is a technology which aims at improving spectrum efficiency in wireless communications by opportunistic use of the available spectrum resources.

ELLIIT

ELLIIT is a network organization for Information and Communication Technology (ICT) research at Linköping, Lund, Halmstad and Blekinge. The objective is scientific excellence in combination with industrial relevance and impact.

ELLIIT
Security Link

Security Link

A platform for strategic interdisciplinary research, within crisis management, security and infrastructure protection. The research covers sensors, telecommunication, sensor and information fusion, decision support, information security and ethics.

Security Link

News
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Three new Wallenberg Scholars at LiU

Three professors at LiU, Anders Ynnerman, Erik G. Larsson and Igor Abrikosov, have been selected as Wallenberg Scholars in 2019, which means that they each receive SEK 18 million for free research in the coming five years.

Increase in mobile traffic requires higher energy efficiency in networks

In only a few year’s time, mobile networks will be required to transmit 100 times more data, which can give rise to a 100-fold increase in energy consumption. Emil Björnson has calculated how energy-efficient the networks can become.

LiU researchers among the most cited in the world

Four researchers from LiU claim places on the 2018 list of the most highly cited – and thus most influential – researchers in the world.
LiU researchers in communication systems.

Top 100 placing for LiU in more subjects

Linköping University is among the 100 foremost institutions of higher education in the world in five subjects, according to the Shanghai ranking, one more than last year. In the overall ranking, however, LiU has dropped to place 352.
Emil Björnson

Unlimited capacity in wireless networks with massive MIMO

Massive MIMO is an antenna technology that is considered the most promising for future superfast 5G networks. LiU researcher Emil Björnson and colleagues has shown that there is no upper limit for how much data that can be transferred.
From left Carl Ingemarsson, Li Li, Gang Liu, Zheng Ma, Erik G Larsson, Oscar Gustafsson, Trinh van Chien, Erik Bertilsson and Amin Ghazanfari.

Swedish-Chinese collaboration in 5G technology

People say that 5G will be upon us in 2020, offering 1000 times more traffic at rates of hundreds of Mbit/s. There are many research projects in 5G under way, but probably only one of them is a Swedish-Chinese collaboration.

Recent highlights
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2019-04-29
Emil Björnson and Erik G. Larsson, together with Thomas Marzetta at NYU, win the 2019 IEEE ComSoc Fred W. Ellersick Prize for their paper "Massive MIMO: Ten Myths and One Critical Question".
 
2019-03-25  
Erik G. Larsson named Wallenberg Scholar
 
2019-03-25  
Emil Björnson wins the 2019 EURASIP Early Career Society Award.


2019-01-07 
We welcome Özlem Tugfe Demir, new postdoc in Communication systems.


2019-01-01 
Erik G. Larsson appointed to the steering committee for the IEEE Transactions on Wireless Communications.

2018-12-03 
Erik G. Larsson named highly cited researcher

2018-09-21 
Giovanni Interdonato successfully defended his licentiate thesis "Signal Processing Aspects of Cell-Free Massive MIMO"

2018-09-14  
Marcus Karlsson successfully defended his Ph.D. thesis "Blind Massive MIMO Base Stations: Downlink Transmission and Jamming"


2018-08-22
Telecommunications research at Linköping University ranks #23 in the world according to the Shanghai academic ranking of world universities

2018-05-28
Former Ph.D. student Hien Ngo wins the 2018 EURASIP Best Ph.D. Award for his dissertation "Massive MIMO: Fundamentals and System Designs" (advisor: E.G. Larsson)

2018-04-23
Erik G. Larsson wins the IEEE ComSoc Best Tutorial Paper Award (shared with O. Edfors, F. Tufvesson and T. Marzetta)

Faculty and staff
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ollab13

Olle Abrahamsson

PhD student

emabe81

Ema Becirovic

PhD student

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Emil Björnson

Associate Professor

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Sucharita Chakraborty

Postdoc

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Zheng Chen

Postdoc

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Danyo Danev

Senior Lecturer

Alumni, guests and continuing collaborators
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About the department
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