Pinned Repositories
07959626_reliable
Reproducible research on the paper 'Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array'
1-Bit-ADCs
Deep Learning for Massive MIMO with 1-Bit ADCs
5g-ldpc
5g ldpc codes
5g-nr-ldpc
A 3GPP 5G NR compliant LDPC library.
5GPositioning
This is a demonstration of 5G mmWave positioning
802.11n-ldpc
A matlab implementation of the 802.11n LDPC encoder and decoder
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.
Monte-Carlo-Simulation-of-a-wireless-communication-model
This repository contains the files that perform Monte Carlo simulation on a wireless communication channel using confidence intervals.
power-allocation-1
wireless-tutorial
Code for the problem sheet of ELEC97094/ELEC97095. Note at https://www.notion.so/snowztail/Problem-Sheet-115771497bd84c33b939fa650a0910f2.
syamms's Repositories
syamms/umeyama-matlab
Simple Matlab implementation for the umeyama method for point cloud registration. Linked on Matlab Central.
syamms/matlab-machine-learning
Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas
syamms/Massive-MIMO-Rician-Channels
This code computes the spectral efficiency in the downlink of a Massive MIMO systems over Uncorrelated Rician Fading Channels. In particular, it generates Figs. 4 and 5 of a manuscript that is currently under review for publication on IEEE Transactions on Communications (submitted May 2018). The manuscript will be made available soon on arxiv.
syamms/MIMO-based-on-STBC
MIMO System based on DSTBC and OSTBC
syamms/max-EE-Multislope-Path-Loss
This is a code package is related to the follow scientific article: Andrea Pizzo, Daniel Verenzuela, Luca Sanguinetti and Emil Björnson, "Network Deployment for Maximal Energy Efficiency in Uplink with Multislope Path Loss," IEEE Transactions on Green Communications and Networking, Submitted to. The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research!
syamms/MatlabFunc
Matlab codes for feature learning
syamms/PrOX
MATLAB simulator for the paper "VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems" in IEEE T-CAS I, 2017
syamms/MIMO-OFDM-SYSTEM
FAST HARMONY SEARCH TECHNIQUE FOR CHANNEL ESTIMATION IN MIMO OFDM SYSTEM
syamms/IOT
syamms/Survival-Analysis-DSA
Survival analysis-based dynamic spectrum allocation algorithm in MATLAB
syamms/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.
syamms/SimulationSWIPT
SWIPT Simulation
syamms/Thesis
syamms/SuanShu
SuanShu is a math library of numerical methods for numerical analysis. - http://numericalmethod.com/up/suanshu/
syamms/machine-learning
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
syamms/Clustering_Seminar
Algorithms for KMeans, Hierarchichal clustering, EM and DBSCAN
syamms/Deep-Learning-Projects
Implementation of Algorithms such as ANN, CNN, RNN, Boltzmann Machine, AutoEncoders. Time to go deep :)
syamms/Gaussian-Mixture-Model
This is a part of MATLAB implementation of the paper "Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks" in which Gaussian Mixture Model clustering is employed.
syamms/Stanford-AdvMATLAB-Advanced-MATLAB-for-Scientific-Computing
Course materials for the AdvMATLAB Advanced MATLAB for Scientific Computing MOOC on Stanford Online
syamms/MIMO-simulation
MATLAB simulations for analyzing a MIMO system
syamms/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.
syamms/cr-comp
This is a repository for the code developed to produce the results in the paper titled "Cognitive radio network with coordinated multipoint joint transmission" (http://onlinelibrary.wiley.com/doi/10.1002/dac.3310/abstract)
syamms/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.
syamms/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.
syamms/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.
syamms/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.
syamms/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
syamms/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.
syamms/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.
syamms/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.