Top repositories
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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
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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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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
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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
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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
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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
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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, 2013MATLAB
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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
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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
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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. 2023Python
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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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RIS-fading
Simulation code for “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, IEEE Wireless Communications Letters, to appear.MATLAB
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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.
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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, 2024MATLAB
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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
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SP_Cup_2021
This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!MATLAB
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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
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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 2020MATLAB
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massive-mimo-book-chapter
Simulation code for the book chapter “Massive MIMO Communications” by Trinh van Chien and Emil Björnson, 5G Mobile Communications, Springer, 2017MATLAB
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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.
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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 2019MATLAB
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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
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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
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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, 2020MATLAB
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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
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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 2022Python
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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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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 2019MATLAB
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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
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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
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mimoblog
Simulation code examples for the Massive MIMO blogMATLAB
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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
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Book-Chapter-on-ELAA
This repository contains the code for the book chapter "Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays"MATLAB
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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 2022MATLAB
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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
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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 2016MATLAB
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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
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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
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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 2016MATLAB
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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 2021MATLAB
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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 appearMATLAB
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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
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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 2017MATLAB
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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
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precoding-polynomial-expansion
Minimum work examples for "Linear Precoding based on Polynomial Expansion"MATLAB
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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
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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
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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
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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
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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
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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
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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
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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 2015MATLAB
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fronthaul-quantization-precoding
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