233 (onism222)

onism222

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Location:lalaland

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233's repositories

Massive-MIMO-Notes

Self-study notes of massive MIMO book

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MATLAB-Deep-Learning-Notes

Self-study Notes about <MATLAB Deep Learning>

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Block-Chain-MATLAB

Block Chain MATLAB Implementation

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Convexbook-Notes

convexbook-Notes

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Deep-Learning-Notes

Self-study Notes for Deep Learning Book

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DeepIRS

A repository for the DeepIRS project codes

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distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

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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

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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.

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learning-mmse-est

Julia code for the paper "Learning the MMSE Channel Estimator"

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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.

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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.

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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.

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tutorials

PyTorch tutorials.

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07959626_reliable

Reproducible research on the paper 'Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array'

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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, to appear.

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Framework-of-Robust-Transmission-Design-for-IRS-Aided-MISO-Communications

Simulation code for “A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels,” by G. Zhou, C. Pan, H. Ren, K. Wang and A. Nallanathan,  IEEE Transactions on Signal Processing, vol. 68, pp. 5092-5106, 2020.

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MIMO_OFDM

《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

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Multi-RIS-Doppler-Mitigation-Hardware-Impairments

Simulation code for “Positioning Information Based High-Speed Communications with Multiple RISs: Doppler Mitigation and Hardware Impairments,” by K. Wang, CT. Lam, and BK. Ng, Applied Sciences, 12, no.14: 7076, 2022.

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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-Codes-Collection

A Collection Contains the Codes for RIS(IRS) Papers.

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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.

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