emilbjornson Goto Github PK

a-new-channel-subspace-characterization-for-channel-estimation-in-ris-aided-communications

This work is done to reduce the pilot overhead

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.

book-chapter-on-elaa

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

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

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.

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.

cell-free-survey

cf-lpzf

cf_ca_correlated

cf_hst

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

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.

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

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.

duality

Simulation code for “UL-DL duality for cell-free massive MIMO with per-AP power and information constraints” by Lorenzo Miretti, Renato L. G. Cavalcante, Emil Björnson, Slawomir Stanczak, arXiv preprint arXiv:2301.06520, 2023

efficient-los-channel-estimation-for-ris-aided-communications-under-non-stationary-mobility

emi-ris-communications

energy_consumption_in_mu_mimo_with_mobility

This code computes the energy consumption in the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model.

fronthaul-quantization-precoding

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

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

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.

ieee_sp_cup_2021-sipl_team

The solution of SIPL_TEAM to the SP-CUP-2021 competition.see more at https://signalprocessingsociety.org/community-involvement/signal-processing-cup

irs-continuous

Source code for "Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model" by Bho Matthiesen, Emil Björnson, Elisabeth De Carvalho, and Petar Popovski published in IEEE Wireless Communications Letters

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.

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.

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.

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.

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

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.