His scientific interests lie mostly in MIMO, Communication channel, Telecommunications link, Communications system and Wireless. His studies deal with areas such as Cellular network, Spectral efficiency, Base station and Signal processing as well as MIMO. His work deals with themes such as Spatial correlation, Backhaul and Topology, which intersect with Communication channel.
Emil Bjornson interconnects Covariance, Transmitter power output and Robustness in the investigation of issues within Telecommunications link. His Communications system course of study focuses on Computer hardware and Transceiver, Multiuser detection, Spectral density and Many antennas. His work carried out in the field of Wireless brings together such families of science as Computer network and Electronic engineering, Beamforming.
Emil Bjornson mainly investigates MIMO, Telecommunications link, Communication channel, Spectral efficiency and Base station. His MIMO research is multidisciplinary, incorporating perspectives in Computer network, Communications system, Algorithm and Electronic engineering. His study in Telecommunications link is interdisciplinary in nature, drawing from both Fading, Transmission, Mathematical optimization, Channel state information and Topology.
His research integrates issues of Wireless, Upper and lower bounds and Spatial correlation in his study of Communication channel. His work in Spectral efficiency tackles topics such as Computer hardware which are related to areas like Distortion. His Base station study integrates concerns from other disciplines, such as Cellular network, Beamforming, Wireless network, Efficient energy use and Antenna.
Emil Bjornson spends much of his time researching MIMO, Telecommunications link, Spectral efficiency, Communication channel and Electronic engineering. Emil Bjornson mostly deals with Precoding in his studies of MIMO. His Telecommunications link study incorporates themes from Beamforming, Selection, Benchmark, Algorithm and Joint.
His Spectral efficiency research incorporates themes from Decoding methods and Spatial correlation. His work in Communication channel covers topics such as Duplex which are related to areas like Coherence, Covariance and Throughput. His Electronic engineering study also includes
Emil Bjornson mostly deals with Electronic engineering, Wireless, Communication channel, MIMO and Transmitter. In general Communication channel, his work in Rayleigh fading is often linked to Basis, Rank and Independent and identically distributed random variables linking many areas of study. The various areas that Emil Bjornson examines in his MIMO study include Telecommunications link, Spectral efficiency, Power control and Fading.
His Telecommunications link research integrates issues from Algorithm, Quantization, Energy, Point and Efficient energy use. His work deals with themes such as Transmission, Distributed computing, Rician fading and Maximum power transfer theorem, which intersect with Power control. The Transmitter study combines topics in areas such as Power gain, Adaptive beamformer and Signal processing.
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Massive MIMO: ten myths and one critical question
Emil Björnson;Erik G. Larsson;Thomas L. Marzetta.
IEEE Communications Magazine (2016)
Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits
Emil Bjornson;Jakob Hoydis;Marios Kountouris;Merouane Debbah.
IEEE Transactions on Information Theory (2014)
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
Emil Björnson;Jakob Hoydis;Luca Sanguinetti.
Millimeter Wave Communications for Future Mobile Networks
Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai.
IEEE Journal on Selected Areas in Communications (2017)
Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?
Emil Bjornson;Luca Sanguinetti;Jakob Hoydis;Merouane Debbah.
IEEE Transactions on Wireless Communications (2015)
Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?
Emil Bjornson;Erik G. Larsson;Merouane Debbah.
IEEE Transactions on Wireless Communications (2016)
Optimal Resource Allocation in Coordinated Multi-Cell Systems
Emil Björnson;Eduard A. Jorswieck.
Cooperative Multicell Precoding: Rate Region Characterization and Distributed Strategies With Instantaneous and Statistical CSI
E Björnson;R Zakhour;D Gesbert;B Ottersten.
IEEE Transactions on Signal Processing (2010)
Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design
Emil Bjornson;Michail Matthaiou;Merouane Debbah.
IEEE Transactions on Wireless Communications (2015)
Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes]
Emil Bjornson;Mats Bengtsson;Bjorn Ottersten.
IEEE Signal Processing Magazine (2014)
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