Emil Björnson (@emilbjornson)
github

emilbjornson

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  • Stars
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    2,308
  • Global Rank 13,183 (Top 0.5 %)
  • Followers 2,371
  • Following 5
  • Registered over 10 years ago
  • Most used languages
    MATLAB
         94.0 %
    Python
         6.0 %
  • Location 🇸🇪 Sweden
  • Country Total Rank 218
  • Country Ranking
    MATLAB
         1
    Python
         159

Top repositories

1

massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.
MATLAB
342
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2

optimal-beamforming

Simulation code for “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure” by Emil Björnson, Mats Bengtsson, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July 2014.
MATLAB
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3

IRS-relaying

Simulation code for “Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying?,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Wireless Communications Letters, vol. 9, no. 2, pp. 244-248, February 2020.
MATLAB
105
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4

MIMO-channel-estimation

Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.
MATLAB
104
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5

cell-free-book

Book PDF and simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.
MATLAB
104
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6

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.
Python
91
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7

book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013
MATLAB
84
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8

IRS-modeling

Simulation code for “Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling,” by Özgecan Özdogan, Emil Björnson, Erik G. Larsson, IEEE Wireless Communications Letters, To appear.
MATLAB
68
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9

power-allocation-cell-free

Simulation code for “Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems,” by Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova, IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 174-188, Jan. 2023
Python
67
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10

mimobook

Simulation code and accompanying material for the textbook "Introduction to Multiple Antenna Communications and Reconfigurable Surfaces" by Emil Björnson and Özlem Tuğfe Demir, Boston-Delft: now publishers, 2024
MATLAB
62
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11

scalable-cell-free

Simulation code for “Scalable Cell-Free Massive MIMO Systems,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Communications, to appear.
MATLAB
60
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12

multiple_antenna_communications

This repository contains the slides (in Powerpoint and PDF formats) for the course Multiple Antenna Communications, used 2021. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.
58
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13

presentation_slides

This repository contains the slides to some of my YouTube presentations, as well as some slides and posters from conferences
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14

RIS-fading

Simulation code for “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, IEEE Wireless Communications Letters, to appear.
MATLAB
55
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15

massive-MIMO-small-cells

Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.
MATLAB
46
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16

SPM_RIS

Simulation code for “Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications” by Emil Björnson, Henk Wymeersch, Bho Matthiesen, Petar Popovski, Luca Sanguinetti, and Elisabeth de Carvalho, IEEE Signal Processing Magazine, March 2022.
MATLAB
46
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17

SP_Cup_2021

This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!
MATLAB
41
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18

competitive-cell-free

Simulation code for “Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 77-90, January 2020
MATLAB
41
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19

rician-massive-mimo

Simulation code for “Massive MIMO with Spatially Correlated Rician Fading Channels,” by Özgecan Özdogan, Emil Björnson, and Erik G. Larsson, IEEE Transactions on Communications, vol. 67, no. 5, pp. 3234-3250, May 2019
MATLAB
40
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20

nearfield-primer

Simulation code for “A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces,” by Emil Björnson, Özlem Tuğfe Demir, and Luca Sanguinetti, Asilomar Conference on Signals, Systems, and Computers, Virtual conference, October-November 2021.
MATLAB
39
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21

massive-mimo-book-chapter

Simulation code for the book chapter “Massive MIMO Communications” by Trinh van Chien and Emil Björnson, 5G Mobile Communications, Springer, 2017
MATLAB
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22

tsks14_multiple_antenna_communications

This repository contains the slides (in Powerpoint and PDF formats) for the course TSKS14 Multiple Antenna Communications, used 2020. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.
36
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23

near-field-behavior

Simulation code for “Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces” by Emil Björnson, Luca Sanguinetti, IEEE Open Journal of the Communications Society, 2020
MATLAB
35
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24

RIS-myths

Simulation code for “Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Communications Magazine, vol. 58, no. 12, pp. 90-96, December 2020.
MATLAB
34
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25

wireless-powered-cell-free

Simulation code for “Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO,” by Özlem Tuğfe Demir and Emil Björnson, IEEE Transactions on Wireless Communications, vol. 20, no. 3, pp. 1756-1769, March 2021.
MATLAB
34
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26

rician-cell-free

Simulation code for “Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts,” by Özgecan Özdogan, Emil Björnson, Jiayi Zhang, IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5299-5315, November 2019
MATLAB
27
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27

team-MMSE

Simulation code for “Team MMSE Precoding with Applications to Cell-free Massive MIMO” by Lorenzo Miretti, Emil Björnson, David Gesbert, IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 6242-6255, August 2022
Python
26
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28

massive-MIMO-hardware-impairments

Simulation code for “Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits” by Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah, IEEE Transactions on Information Theory, vol. 60, no. 11, pp. 7112-7139, November 2014.
MATLAB
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29

mimoblog

Simulation code examples for the Massive MIMO blog
MATLAB
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30

RIS-massive-MIMO

Simulation code for “Is Channel Estimation Necessary to Select Phase-Shifts for RIS-Assisted Massive MIMO?,” by Özlem Tuğfe Demir and Emil Björnson, IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9537-9552, November 2022
MATLAB
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31

large-scale-fading-decoding

Simulation code for “Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels,” by Trinh Van Chien, Christopher Mollén, and Emil Björnson, IEEE Transactions on Communications, vol. 67, no. 4, pp. 2746-2762, April 2019.
MATLAB
19
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32

maximal-SE

Simulation code for “Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?” by Emil Björnson, Erik G. Larsson, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 1293-1308, 2016.
MATLAB
19
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33

multiobjective

Simulation code for “Multi-Objective Signal Processing Optimization: The Way to Balance Conflicting Metrics in 5G Systems” by Emil Björnson, Eduard Jorswieck, Mérouane Debbah, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 14-23, November 2014.
MATLAB
18
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34

Book-Chapter-on-ELAA

This repository contains the code for the book chapter "Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays"
MATLAB
17
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35

grant-free

Simulation code for “Clustering-Based Activity Detection Algorithms for Grant-Free Random Access in Cell-Free Massive MIMO,” by U. K. Ganesan, E. Björnson and E. G. Larsson, IEEE Transactions on Communications, vol. 69, no. 11, pp. 7520-7530, November 2021
MATLAB
16
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36

maximal-EE

Simulation code for “Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO” by Emil Björnson, Luca Sanguinetti, Marios Kountouris, IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 832-847, April 2016
MATLAB
15
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37

is-massive-MIMO-the-answer

Simulation code for “Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?” by Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 14, no. 6, pp. 3059-3075, June 2015.
MATLAB
15
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38

unlimited-capacity

Simulation code for “Massive MIMO has Unlimited Capacity” by Emil Björnson, Jakob Hoydis, Luca Sanguinetti, IEEE Transactions on Wireless Communications, vol. 17, no. 1, pp. 574-590, Jan. 2018.
MATLAB
14
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39

how-energy-efficient

Simulation code for “How Energy-Efficient Can a Wireless Communication System Become?” by Emil Björnson, Erik G. Larsson, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018.
MATLAB
13
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40

massive-MIMO-myths

Simulation code for “Massive MIMO: Ten Myths and One Critical Question” by Emil Björnson, Erik G. Larsson, Thomas L. Marzetta, IEEE Communications Magazine, vol. 54, no. 2, pp. 114-123, February 2016
MATLAB
13
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41

sucre-protocol

Simulation code for “A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems” by Emil Björnson, Elisabeth de Carvalho, Jesper H. Sørensen, Erik G. Larsson, and Petar Popovski, IEEE Transactions on Wireless Communications, vol. 16, no. 4, pp. 2220-2234, April 2017
MATLAB
13
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42

precoding-polynomial-expansion

Minimum work examples for "Linear Precoding based on Polynomial Expansion"
MATLAB
13
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43

sub6-mmwave

Simulation code for “Massive MIMO in Sub-6 GHz and mmWave: Physical, Practical, and Use-Case Differences,” by Emil Björnson, Liesbet Van der Perre, Stefano Buzzi, Erik G. Larsson, IEEE Wireless Communications, vol. 26, no. 2, pp. 100-108, April 2019.
MATLAB
12
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44

capacity-limits-transceiver-impairments

Simulation code for "Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments" by Emil Björnson, Per Zetterberg, Mats Bengtsson, Björn Ottersten, IEEE Communications Letters, vol. 17, no. 1, pp. 91-94, January 2013.
MATLAB
11
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45

distortion-correlation

Simulation code for “Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency” by Emil Björnson, Luca Sanguinetti, and Jakob Hoydis, IEEE Transactions on Communications, To appear
MATLAB
11
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46

dual-polarization

Simulation code for “Massive MIMO with Dual-Polarized Antennas,” by Özgecan Özdogan, Emil Björnson, IEEE Transactions on Wireless Communications, vol. 22, no. 2, pp. 1448-1463, February 2023.
MATLAB
10
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47

one-or-multiple-streams

Simulation code for “Receive Combining vs. Multi-Stream Multiplexing in Downlink Systems with Multi-Antenna Users” by Emil Björnson, Marios Kountouris, Mats Bengtsson, Björn Ottersten, IEEE Transactions on Signal Processing, vol. 61, no. 13, pp. 3431-3446, July 2013.
MATLAB
9
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48

radio-stripes

Simulation code for “MMSE-Optimal Sequential Processing for Cell-Free Massive MIMO With Radio Stripes,” by Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson, IEEE Transactions on Communications, to appear.
MATLAB
9
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49

multiantenna-UE

Simulation code for “Massive MIMO with Multi-Antenna Users: When are Additional User Antennas Beneficial?” by Xueru Li, Emil Björnson, Shidong Zhou, and Jing Wang, Published at ICT 2016.
MATLAB
8
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50

new-look-at-relaying

Simulation code for “A New Look at Dual-Hop Relaying: Performance Limits with Hardware Impairments” by Emil Björnson, Michail Matthaiou, Mérouane Debbah, IEEE Transactions on Communications, vol. 61, no. 11, pp. 4512-4525, November 2013.
MATLAB
8
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51

twoway-relaying-hardware-impairments

Simulation code for “Two-way Relaying under the Presence of Relay Transceiver Hardware Impairments” by Michail Matthaiou, Agisilaos Papadogiannis, Emil Björnson, Mérouane Debbah, IEEE Communications Letters, vol. 17, no. 6, pp. 1136-1139, June 2013.
MATLAB
6
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52

backward-crosstalk

Simulation code for “Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency,” by Peter Händel, Özlem Tugfe Demir, Emil Björnson and Daniel Rönnow, IEEE Transactions on Communications, vol. 68, no. 7, pp. 4277-4292, July 2020.
MATLAB
6
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53

hardware-scaling-laws

Simulation code for "Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design" by Emil Björnson, Michail Matthaiou, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 14, no. 8, pp. 4353-4368, August 2015
MATLAB
5
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54

fronthaul-quantization-precoding

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