mir107 Goto Github PK

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

inside-the-black-box

Repository for the code used to create the results of the paper "MaMIMO CSI-based positioning using CNNs: Peeking inside the black box"

intelligent-reflecting-surface-aided-multi-user-mmwave-communications-for-coverage-enhancement

PIMRC paper Reproducible codes

intelligent-surfaces

internet-of-things-programming-projects

Internet of Things Programming Projects published by Packt

irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design

This paper investigates an efficient IRS-aided SWIPT architecture where a multi-carrier multi-antenna AP transmits information and power simultaneously to a single-antenna user under the assist of an IRS.

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.

irs_aided_vehicular_communications

Simulations on IRS aided vehicular communications

irs_channel_estimation

irs_opt_statistical_csi

irsdiagnosis

MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems". Original article available at https://arxiv.org/abs/2101.03792

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.

isac-mimo-ofdm-wf

isac-plm

Physical layer model of IEEE 802.11ay enhanced directional multi-gigabit (EDMG) Wireless local access network (WLAN)

joint_cfo_channel_camsap_2017

This directory contains all the codes required to reproduce the results in our CAMSAP 2017 paper titled "Joint CFO and channel estimation in millimeter wave systems with one-bit ADCs"

joint_radar_comms

A repo to deposit simulations for Massive MIMO Joint Communications and Radar Systems

jointchannelandpowerallofdcr

This contains joint channel and power allocation scheme for a full duplex cognitive radio network underlying a cellular network

large-scale-multiantenna-multisine-wireless-power-transfer

Low-complexity waveform optimization for large-scale wireless power transfer, based on nonlinear harvester model.

lasso

This repository implements various algorithms to solve LASSO problem via Matlab.

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

latexpackages-cn

LaTeX commonly used macro package Chinese localization project-常用宏包说明的中文本地化项目

ldamp_based-channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

lim.-feedback-mimo-ofdm-precoding

Codes for the predictive quantization and joint time frequency interpolation strategy for interpolation of MIMO-OFDM precoding matrices

limited-feedback-channel-estimation-in-massive-mimo-systems

Today, plenty of cellular systems utilize frequency-division duplexing (FDD). Downlink training for channel state information in FDD is difficult since training and feedback overhead is proportional to the number of antennas at the base station, which is large in a Massive MIMO systems. To deal with the limited feedback mechanism of downlink channel in FDD Massive MIMO system, we can adopt the double directional model. This is applicable for the 5G systems to get high capacity and data rate. We analyse and test the performance of the Limited feedback channel with DD model via the MATLAB and we had the better performance rather than other models.

lis-deeplearning

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

ln-game-theory

Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.

low-rank-mimo-channel-estimation-from-one-bit-measurements

This directory contains the code required to reproduce the results in our ICASSP 2020 submission titled "Low-rank mmWave MIMO channel estimation in one-bit receivers"